bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Application of Quantum Computing in Artificial Intelligence
Authors: Shen Kexuan
Published: June 2024

This paper aims to explore the application of quantum computing in the field of artificial intelligence (AI). The continuous development of AI technology has brought revolutionary changes to various industries, but traditional computers may encounter bottlenecks when facing complex problems. Quantum computing, as an emerging computing paradigm, has the potential to address complex issues. This paper first introduces the fundamentals of AI and quantum computing, then discusses the application cases of quantum computing in AI, including quantum neural networks, quantum optimization algorithms, and quantum reinforcement learning. It also analyzes the current technical challenges and solutions, and prospects the future development direction of quantum computing in the field of AI. Through research in this emerging field, we can better understand and utilize quantum computing technology to promote progress and innovation in the field of AI.
Analysis of the Internationalization Strategy of Peanut Butter Export Industry
Authors: Yan Mingxi , Zhao Yanqiu
Published: June 2024

Qingdao Food is the mainstream enterprise for exporting peanut butter from China. By analyzing the export situation of peanut butter from Qingdao Food Co., Ltd., analyze the problems and countermeasures of peanut butter export.Founded in 1950, Qingdao Food Co., Ltd. is a leading enterprise in Qingdao's food industry. In the long run, Qingdao Food Co., Ltd.  has developed a large foreign markets with its peanut butter and cookies, but compared with other enterprises of the same type,Qingdao Food Co., Ltd. still has great deficiencies in its foreign export. This paper carries out a series of researches on the international strategy of Qingdao Food Co., Ltd. to further analyze its existing problems, and puts forward solutions or improvement measures on the basis of the researches, in order to a better promote the international trade of Qingdao Foodstuffs and accelerate the development of China's foreign trade in food industry products.
The Impact of the COVID-19 Epidemic on the U.S. Senior Housing Market—Analysis of Changes in Brookdale’s Market Capitalization Based on Smoothing Splines Regression
Authors: Chen Yifan
Published: June 2024

The U.S. population is aging, with a large portion of the population already entering retirement age. As a result, demand in the senior living industry continues to increase. This article explores the impact of the COVID-19 pandemic on the senior living industry, focusing on changes in market capitalization for industry leader Brookdale. Based on Brookdale's market cap data from 2005 to 2023, smoothing spline regression was used to analyze the impact of the pandemic on the company's market worth. Three different cross-validation methods including ordinary cross-validation (OCV), approximate cross-validation (ACV) and generalized approximate cross-validation (GACV) were tested for regression parameter selection. The study found that ACV provided the best model fit with an R-squared of 0.7181. The results show that Brookdale's market capitalization has experienced a significant decline during the COVID-19 outbreak, and the predicted values are consistent with the actual reduction in Brookdale's market capitalization. Factors contributing to the decline include lower occupancy rates in senior care facilities and the impact of the pandemic on the overall economy. This underscores the likelihood of challenges within the senior living industry during public health emergencies, warning both investors and operators to prepare for potential risks. The employment of the smoothing spline model in this study enhances the precision of market trend representation and facilitates rational decision-making among industry stakeholders.
Sustainability Risks and Decision Making in the Construction Industry: A Case Study-Based Approach
Authors: Li Jinyang
Published: June 2024

In recent years, with the concept of sustainability put forward, more and more enterprises have considered it when making strategies and decisions. Sustainability emphasizes striking a balance between the economic, environmental, and social dimensions to ensure that current development does not jeopardize future resources and opportunities. The construction industry is not an exception. However, due to the huge energy consumption and inevitable uncertainty in the construction scenes, the sustainability concept needs to be conducted better in this industry. Current studies focused on the sustainability decision-making model choices; these studies greatly contribute to the theoretical background but could be more focused on the construction scenes and sustainability decision-making chain. This paper first revealed the risks and consequences of sustainability to point out the necessity of this research. Secondly, this paper demonstrated two case studies about sustainability decision-making. Reviewing these cases concluded a sustainability decision-making chain, which may help the construction industry reduce energy consumption and shoulder more social responsibilities.
Exploration of Integrating Marxist Practice Concept into Graduation Theses of Business English Majors
Authors: Fan Xiying
Published: June 2024

Integrating ideological and political education into the guidance of graduation thesis is not only an inevitable need for universities to cultivate moral character, but also an inherent need to solve the problems in graduation thesis. Through research, the author has found that there are many problems in the graduation thesis  of Business English major, such as topic selection, attitude, insufficient critical thinking ability and academic misconduct. Research the training objectives of the new national standard for Business English majors and the requirements for graduation theses, and confirm that Marxist practical views must be integrated into the graduation theses of Business English majors. And corresponding measures are proposed, including reforms to the course of "Thesis Writing", hiring relevant industry and enterprise experts for guidance, participating in the review and defense, and integrating value shaping, knowledge transmission, and ability cultivation into the graduation thesis writing. Through the inspection of graduation thesis work, it is found that significant results have been achieved, such as enhancing academic integrity and cultural confidence, enhancing innovation awareness, and selecting practical topics.
Research on Light Pollution Evaluation Modeling Based on Comprehensive Weights
Authors: Sun Nanlong , Zhu Fangyi , Wang Xinping
Published: June 2024

Light pollution refers to the excessive or improper use of artificial light. Global light pollution poses environmental and health problems. In order to measure and put forward reasonable suggestions to alleviate these phenomena, we established a light pollution evaluation model to calculate the risk degree of light pollution in a region, and sensitively put forward improvement suggestions to alleviate the degree of local light pollution according to the severity of local indicators. In order to strengthen the correlation between the indicators and the evaluation objectives in the evaluation model, we constructed the relationship between the degree of economic development and the night light data. Then, we analyzed the light pollution evaluation model from six perspectives: GDP, population density, forest area, terrain, temperature and precipitation. Combined with the data over the years, we made a preliminary prediction of the weights of each index, then carried out a consistency test on the weights of each index to judge their rationality, and finally conducted a sensitivity analysis.
Dissolution and Regeneration of Cellulose and Chitosan in Molten Salt Hydrate
Authors: Hu Jinqiu
Published: June 2024

The energy and environmental problems caused by current fossil resources are becoming more and more serious, and the development of renewable and sustainable materials has become a research hotspot. Chitosan and cellulose, as the two most abundant biomasses in nature, have the advantages of being non-toxic, harmless, and environmentally friendly. However, due to their high crystallinity, it is difficult to dissolve in water and common organic solvents. Molten salt hydrate has been discovered as a cost-effective and non-derivative solvent system for dissolving biomass. In this paper, the dissolution and regeneration of microcrystalline cellulose and chitosan in the molten salt system to prepare gel materials is investigated using lithium bromide molten salt as an example. First dissolve cellulose and chitosan, the total mass is unchanged according to the mixing ratio of the two are divided into multiple groups, dissolved in a mass fraction of 60% lithium bromide solution at 140°C into a hydrogel, gradient regeneration in water-ethanol-tert-butanol, to produce aerogel composites, the molten salt rotary evaporation back to use. Characterization tests show that the material has uniform distribution of nanoscale pores, pore size of about 50nm, porosity of 97.53%, strain 50% range can withstand up to 0.4MPa. 6mm thickness of the sample can be insulated at 150°C for up to 2h or more, the degree of adsorption of 2500mg/L copper sulfate solution reaches 22115.4mg/g. It has excellent thermal insulation and adsorption performance and has a wide range of application prospects in environmental protection, biomedical and other fields.
On the Preparation and Wear Properties of Ceramic Particle-reinforced High-chromium Cast Iron-based Surface Composite Material
Authors: Zheng Zhaobin
Published: June 2024

In this study, we successfully developed a composite material that can enhance the local wear resistance of high-chromium cast iron matrix by using 203 and ZTA (ZrO2-toughened Al2O3) ceramic particles and high-chromium cast iron as the basic raw materials, using the preparation methods of melt casting infiltration and porous ceramic preform. The specific operation steps were as follows: firstly, nickel treatment was carried out on the ceramic fragments, and then the treated ceramic fragments were mixed with the preset adhesive and poured into a mold with honeycomb-shaped voids. After pressurization and heating, its texture gradually strengthened, and finally a porous ceramic preform with a honeycomb shape was formed. After that, the preform was stably placed inside the sand mold to prevent the casting from getting worn. After that, it was filled monolithically and penetrated by a high-chromium cast iron metal fluid, thus forming a composite wear-resistant layer composed of ceramics and metals.
Research on the Development Strategy of Cross-border E-commerce in China Under the Background of Digital Trade
Authors: Gao Xiaoyan
Published: June 2024

With the rapid development of digital trade, China's cross-border e-commerce is facing unprecedented opportunities and challenges. This paper aims to analyze the development status of China's cross-border e-commerce in the context of digital trade, and draw on international experience to put forward targeted development strategies. The paper first defines the concept of digital trade and cross-border e-commerce, and then analyzes the current situation and existing problems of China's cross-border e-commerce in detail. Then, through the reference of international experience, it proposes the development strategies of the government, enterprises and industry, and prospects the future development trend of China's cross-border e-commerce.
Service Marketing Strategy for Study Abroad Service Companies in the Age of AI
Authors: Yan Jia , Han Linxi , Ju Dianlin
Published: June 2024

The application of AI technology in the service marketing of study abroad service enterprises can not only improve the marketing efficiency, but also provide customers with personalised recommendation services, meet customer needs and further optimize customer relationships. Based on this, the article describes the advantages of the application of AI technology in the service marketing of study abroad service enterprises, analyses the positive impact of AI technology on the service marketing of study abroad service enterprises, and explores the strategic measures of the service marketing of study abroad service enterprises in the era of AI, aiming to provide some useful references to improve the efficiency of the service marketing of study abroad service enterprises and to promote the better and faster development of study abroad service enterprises.
Research on Virtual Simulation Experiment Teaching of Scraper Conveyor Condition Monitoring and Fault Diagnosis
Authors: Hao Nini , Zhang Qiang , Zhang Yuan , Su Jinpeng , Wei Junying , Liu Guoqing
Published: June 2024

The scraper conveyor status monitoring and fault diagnosis virtual simulation experiment system is designed and developed based on the operating environment of the scraper conveyor in the fully mechanized mining face. Using augmented virtual reality teaching resources, through immersive display and interactive operation experiments, students are guided on basis of scraper conveyor mechanical cognition, master the virtual teaching experiment of state monitoring and fault diagnosis such as broken chain monitoring, motor fault classification and identification, reducer compound fault separation, etc. The teaching practice shows that the system can overcome the harsh production environment in coal mines and the risk factors caused by equipment failure, improve students' understanding of the mechanical fault diagnosis technology, and mobilize students' enthusiasm for experiments and initiative to enhance students' innovative ability.
Prediction of Oral Cancer Incidence in Hunan Using a Time-Series Prediction Model Based on Logistic Regression Modeling
Authors: Peng Linfeng
Published: June 2024

Scientific and reliable prediction of the incidence of oral cancer is very meaningful, which can assist the medical industry to carry out effective prevention and treatment measures, and also serve as a reference and basis for the formulation of related health policies. Therefore, this paper mainly explores the prediction method based on the Logistic Regression model to predict and analyze the number of oral cancer incidences. The study in this paper found that age, gender, and betel nut consumption were associated with the incidence of oral cancer. Among them, males and middle-aged and older age groups were more susceptible. The time-series prediction indicates that the model accurately predicts oral cancer incidence in multifactorial samples, which provides effective preventive and curative measures for the healthcare industry and serves as a basis for health policy. Future studies can improve the accuracy through comprehensive data collection and advanced model optimization. The results of the study provide a reference for early prevention and intervention of oral cancer, which can help formulate health policies to serve public health and individual health.
Research on the Green Transformation Path of Private Enterprises under the Perspective of High-Quality Development
Authors: Zhan Rongfu , Wu Jun , Wang Sanan
Published: June 2024

Using the Analytic Hierarchy Process, this study researches on the green transformation path of private enterprises under the vision of high-quality development. Combined with the green transformation achievements of private enterprise BYD, the driving factors of green transformation for private enterprises are analyzed, and the following conclusions are drawn: (1) In terms of comprehensive evaluation, the weights of driving factors are ranked as follows: enterprise level, customer level, and government level guarantee, and internal factors of enterprise are the key to green transformation. (2) From the perspective of driving factors, the government is more concerned about the green technological innovation capability of private enterprises, while enterprises focus on the intensity of market response, and consumers pay attention to brand influence. (3) According to the ranking of weights, it indicates that consumer satisfaction, market response, technological innovation, capital investment, entrepreneurial ethics, and other major factors play a significant role in the low-carbon coordinated development of urban transportation in the Greater Bay Area. Finally, from the perspective of the target of high-quality development of private enterprises, it is suggested to make efforts in eight aspects including national policies, financial support, and corporate culture to achieve the green transformation of private enterprises.
Working principle and application of hydrogen fuel cells
Authors: Ke Kefeng , Pang Siyuan
Published: June 2024

With the increasing number of people on the earth, technology continues to improve. People enjoy a convenient life at the same time, the ecological pollution and energy consumption problems are constantly aggravating, in the environment is caused by irreversible damage to the fact in front of before waking up, and then began to develop and research a not only meet the energy needs but also minimize the damage to the environment of a new type of clean energy-fuel cells. Fuel cell is one of the most promising energy sources. At present, hydrogen-fueled automobile is one of the most widely used tools of fuel cell in transportation law, and the production of automobiles is increasing year by year, and the production technology is also improving. National governments have issued relevant policies to support the development and research of fuel cells. However, fuel cells still have problems such as high production cost, high energy consumption, and imperfect hydrogen energy industry chain. This article uses the literature to analyze the working principle, development status and future prospects of hydrogen fuel cells. In addition, it also includes the problems of the current use and puts forward some suggestions to solve the problems, such as improving the hydrogen industry chain and reducing the energy consumption of the battery. It helps people to recognize and understand the fuel cell, and also provides some suggestions for the future direction of fuel cell research.
Advanced Packaging Trends in the Semiconductor Industry
Authors: Ye Yuchen
Published: June 2024

Advanced packaging is an important technology that is now taking over from advanced processes to help the semiconductor industry continue to grow. The researcher found that the personnel in contact with the semiconductor industry chain have already had a preliminary understanding of advanced packaging, however, the future development trend of the advanced packaging industry still lacks a comprehensive knowledge. Therefore, the research topic of this paper is the development trend of advanced packaging industry. The research methodology of this paper is as follows: firstly, to understand the concept and development trend of advanced packaging, secondly, to list the factors driving the development of advanced packaging, and finally, to understand the development direction of international enterprises in advanced packaging. This paper finds that after the chip process technology has entered the "post-Moore era", advanced packaging has been widely used in the fields of high-end logic chips, memories, RF chips, image processing chips, touch chips and so on. Advanced packaging technology tends to be diversified in function, stacking and connection. According to Yole, a market research organization, the global share of advanced packaging in the IC packaging and testing market will continue to increase. At the same time, Yole predicts that the global compound annual growth rate of traditional packaging will be only 1.9% from 2019 to 2025, which is much lower than the growth rate of advanced packaging. Advanced packaging is the key path to improve system performance in the post-Moore era.
Digital Transformation and Performance of Enterprises
Authors: Tang Zhongbao
Published: June 2024

Under the macro background of digital China construction, it is of great practical significance to explore how enterprises can achieve the improvement of ESG performance through effective digital transformation based on the perspective of managers' learning theory. This paper takes China's A-share listed companies in 2009- -2021 as A research sample to empirically test the impact of digital transformation on the ESG performance of enterprises. The study found that the digital transformation of enterprises has significantly promoted the fulfillment of ESG responsibilities. The results of the mechanism of action show that the digital transformation of enterprises is through improving the management Sense perception and decision-making, thereby improving ESG performance. Further research based on the heterogeneity of management characteristics shows that the shadow of digital transformation on the ESG performance of enterprises is more significant among male CEOs, executives without academic background, no financial background and low management shareholding ratio. The research not only improves the learning theory of managers, but also provides empirical evidence for digital transformation to affect enterprise behavior, and provides new ideas for encouraging and guiding enterprises to fulfill ESG responsibilities.
A Study of the Impact of Urban-Rural Education Gaps on Income Levels in China
Authors: Zhang Yuhan
Published: June 2024

The development of higher education and the improvement of education levels is one of the crucial and effective means of balancing urban and rural incomes, and the relationship between education levels and income levels has shown different relationships over time and under distinct economic conditions, thus having certain impacts on policy formulation. The issue of urban-rural income and education gap has received wide attention, but there is still insufficient analysis of the development and interaction between the two. This paper analyzes the relationship between the two and the current problems. The analysis of this paper concludes that the difference between urban and rural education has an impact on people's income levels, and there is an interactive relationship between the two. However, the relationship between the two is not static and will fluctuate due to different factors. In addition, the article describes the problems in the interaction between the two. Based on this, the paper puts forward the following recommendations: adjusting the industrial distribution and reducing the policy priority to cities as well as to the increase of China's urbanization rate.
Management of Globalization of Motorsport and Future Development
Authors: Xu Yuyao
Published: June 2024

The motorsport industry has conducted a remarkable global transformation in the past few years and reach some success in terms of popularity and finance. Formula 1, in particular, has seen a boost in viewership thanks to innovative management and the influence of social media, especially the "Drive to Survive" series. However, this success has come with a set of complex challenges. One key issue is the choice of propulsion systems. While electric power gain traction in the automotive sector, motorsport faces a rather difficult choose. Traditional internal combustion engines, a hallmark of the sport, risk falling out of sync with environmental standards. Transitioning entirely to electric power might alienate loyal fans. A middle ground could lie in sustainable and synthetic fuels, reducing carbon dioxide emissions while preserving the essence of racing. Diversity, equity, and inclusion are pressing concerns. Underrepresentation of individuals from minority backgrounds persists, accompanied by racial discrimination. Female representation remains rare. Addressing these challenges requires systemic changes, starting with equal opportunities in education and support for aspiring motorsport enthusiasts from minority backgrounds. In conclusion, while the motorsport industry faces complex issues, it has a bright future if it makes informed decisions and embraces technological development. Sustainable fuels, equitable regulations, and diversity initiatives promise a more inclusive and sustainable motorsport landscape.
Vegetable Automated Pricing Model Based on Particle Swarm Algorithm
Authors: Wang Bosi
Published: June 2024

Fresh grocery supermarkets face challenges such as the short shelf life of vegetables, quality degradation over time, and difficulty in selling products the following day. Considering these issues, they restock early in the morning without complete knowledge of the specific items or purchase prices, based on historical sales and demand data. To address this issue, this paper first visualizes the data to demonstrate a positive correlation between sales volume and time. Next, to address the issue of predicting the total daily restocking quantity and pricing strategy from July 1 to July 7, 2023, the document utilizes data from the previous three years to establish an ARIMA time series forecast model to predict the costs and sales volume of six vegetables for the first week of July 2023. Finally, to devise the replenishment quantity and pricing strategy for individual items on July 1, 2023, the paper filters the data for all vegetable items from June 24th to 30th, 2023, and combines it with the particle swarm optimization algorithm to obtain the results. This study is pragmatic, providing a feasible solution to the problem of automatic pricing for fresh vegetables.
Recommendation System Building based on CNN and TF-IDF Approaches
Authors: Li Mingshen
Published: June 2024

Online shopping has becoming increasingly popular. Customers remain engaged with shopping sites due to effective product recommendations. By analyzing users’ past actions and preferences, shopping platforms effectively identify customer interests and desires, enhancing their overall shopping experience. This paper presents a recommendation system that displays 5 items relevant to the product currently being viewed by the customer. The system processes images with an adapted ResNet-50, a deep learning image classification model in convolutional neural network (CNN) and use the acquired embedded vector to determine similarities with cosine functions. Additionally, the system employs term frequency-inverse document frequency (TF-IDF) method for text analysis in product descriptions, generating word embedding that assists recommendations. This blend of visual and textual analysis ensures that the suggestions closely match the item’s category. The system achieves 94.72% accuracy in subcategories’ classification, a 4% increase compared to using the CNN method alone, confirming its effectiveness in recommending relevant items.
Research on Risk Management and Control of Chinese Film and Television Drama Production—The Case of ‘Ruyi’s Royal Love in the Palace’
Authors: Sun Hao
Published: June 2024

With the gradual enrichment of material life, people’s spiritual needs are becoming increasingly large, stimulating the development of TV dramas. The Chinese Intellectual Property (IP) film and television industry has recently been enlarging. However, some risks are hiding in this new hit. This thesis analyzes the case of ‘Ruyi’s Royal Love in the Palace’, a famous and typical palace fighting drama that invested a lot of money and eventually became mediocre. This study lists the main risks and corresponding reasons for this failure and separates them into script, finance, policy, and marketing, which includes the problems of the creative environment and producers’ processing methods. This essay puts different suggestions to the official department and producers in these four perspectives to improve the current situation. However, this passage has some limits due to the lack of more convincing and authentic data to get an accurate conclusion. But if recommendations can be implemented, it will greatly improve China’s film and television drama creation environment.
Application of Two-Dimensional Semiconductor In Transistor
Authors: Li Yilong
Published: June 2024

Two-dimensional semiconductor materials are a class of thin film materials with atomic thickness and unique electronic structure. They have important application prospects in semiconductor technology, especially in field effect transistors (FETs). This paper reviews the properties, applications, and challenges of two-dimensional semiconductor materials and their potential in different types of FETs. This paper introduces the representative members of two-dimensional semiconductor materials, including graphene, transition metal chalcogenides (TMDs) and black phosphorus, as well as their synthesis methods and bandgap regulation strategies. The paper then analyzes the applications and advantages of 2D semiconductor materials in digital, optoelectronic, pressure-sensitive, and brain-like FETs and their broad uses in electronic, optoelectronic, sensing, and energy storage devices. Finally, the main challenges facing 2D semiconductor materials in FETs are discussed, including material quality, contact resistance, process compatibility and environmental stability, and future research directions and prospects.
A Study on Replenishment Decision of Vegetable Commodities Based on Time Series Forecasting and Linear Programming Models
Authors: Jing Botao , Jiang Huisong , Wei Ziyi
Published: June 2024

The automatic pricing and replenishment decisions for vegetable products are based on the fact that vegetable products have relatively short shelf lives, and there is a wide variety of vegetable types for sale. Vegetable purchases typically occur in the early morning. Therefore, businesses often rely on historical sales and demand data for each product to make pricing and restocking decisions, even when they do not have exact information about individual item and purchase prices. This article is based on the data provided by the CUMCM to conduct relevant research.
Building Damage Degree Recognition Based on Temporal Attention Features
Authors: Jiang Zhenzhao
Published: June 2024

Natural disasters pose significant harm to society. As an important place for social activities and economic development, the degree of damage to building areas is directly related to disaster loss assessment and emergency rescue. Remote sensing image data, characterized by its wide coverage and multi-temporal features, provides important data support for post-disaster loss assessment. However, imaging differences caused by factors such as shooting time, imaging angle, and different sensors can interfere with the extraction of damage features and loss assessment. This paper proposes a Dual-Exchange-Attention U-Net (DERU-Net) model, which transforms the identification of building damage levels into intra-class semantic change detection. The DFMA feature attention fusion module is introduced to enhance the ability of dual-temporal feature extraction and achieve end-to-end assessment of building damage. The proposed method is comprehensively evaluated and tested on the xBD dataset. Experimental results show that compared with other methods, the DERU-Net proposed in this paper exhibits better stability and evaluation accuracy in assessing the degree of building damage.
Characteristics of Japanese Social and Cultural Values from Harajuku Fashion
Authors: Wang Shujing
Published: June 2024

"Harajuku" is a representative fashion of Japanese street culture, and it has constructed the image of Japanese pop culture. This research analyzes the historical background and cultural causes behind Harajuku fashion and explains the internal and external causes of the formation and development of Harajuku fashion in terms of historical and economic backgrounds. So, the research analyzes the cultural characteristics of Japanese society from the perspective of fashion, and further reveals the logical interactions and intrinsic connections between the cultural representations and value theories. Through relevant research, it is concluded that there is a circular logical relationship between fashion characteristics and the social phenomena as their causes behind them, and it is also proposed that the establishment and dissemination of national characteristic cultural images require the operation of branding mechanisms and the value support of cultural genes. Overall, this study logically constructs and analyzes Harajuku fashion characteristics and cultural concepts, explains the national characteristics and cultural values of Japanese society from the social phenomenon, combines relevant fashion and social theories, and provides insights and reflections on the innovation and construction of the national and local cultural image and brand discourse.
Application of CRISPR/Cas9 in the Disease Treatment
Authors: Hsu Li shan,
Published: June 2024

CRISPR/cas9 was widely used in medical study because it is fast, cheap, accurate, and efficient in knockout, knock-in, activation, interference and other editing functions. It has gained attention for precise and effect DNA pieces targeting and editing in different kind model systems, including rat, rabbit, and human cells. The paper will going to investigating how Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) is used to solve human disease. Most of the DNA mutation linked to a hereditary illness can be edited using CRISPR and CRISPR-associated protein 9 technology. The following articles will not only talk about disease associated with gene mutations, but also solve disease by changing DNA sequences and removing allergy factor form food. To explain several of the above approaches, a few examples have been selected for this article, including Alzheimer's disease, Hemophilia, Tyrosine, Beta thalassemia, Parkinson's disease, Hepatocellular carcinoma, and Beta Lactoglobulin.
The Correlation of Dietary Pattern Mediated Intestinal Flora to Disease
Authors: Zhang Xinran
Published: June 2024

At present, many popular diet patterns emerge in an endless stream, but the pros and cons of these diet patterns, the application time and the applicable population are worth studying, and blindly following the trend will often backfire. At present, many experts have studied the application mechanism of various dietary patterns, the impact on the gut flora, and the suitable population. Many dietary therapies have been applied in clinical practice, and there are also studies on probiotics combined with dietary pattern therapy with many people, and the effect is much higher than that of dietary pattern assisted therapy alone. But how to use dietary patterns to maintain the balance of gut flora and thus treat patients needs to be more deeply related. This paper analyzes the dietary therapy of the current popular diseases HUA\ gout and intestinal inflammation, and analyzes the advantages and disadvantages of the current popular dietary pattern and the suitable population for these two diseases. According to the intestinal flora, the mechanism of health regulation of different dietary patterns was analyzed, and the advanced therapy of probiotics combined with dietary patterns was analyzed, and the dietary patterns adapted to different populations were obtained. This paper makes the clinical and dietary cross-treatment of different diseases clearer and more intuitive, but the application time of different dietary patterns and the applicable environment and regulation of probiotics still need more in-depth research. Future studies could focus on the duration of different dietary patterns and the direction of side effects.
Exploring Blockchain Technology: Analysis and Applications
Authors: Liu Ruixiao
Published: June 2024

The advent of blockchain technology represents a significant paradigm shift, offering transformative prospects for a myriad of industries. This paper presents an exhaustive analysis of blockchain-related technologies, encompassing foundational principles, various blockchain categories, and their multifaceted applications. It begins with an extensive literature review, tracing the development of blockchain technology and synthesizing prior studies, thereby establishing a theoretical groundwork. This framework encompasses an exploration of distributed ledger technology, the intricacies of smart contracts, and the nuances of consensus mechanisms. Subsequently, the paper delves into detailed examinations of prevalent blockchain platforms, emphasizing critical aspects such as security features and scalability challenges. By dissecting these elements, the study not only demystifies the operational mechanics of different blockchain systems but also sheds light on their limitations and potential areas for improvement. This analytical approach provides a comprehensive understanding of blockchain technology, paving the way for its thoughtful and effective integration into various sectors.
Applications of Cryogenic Electron Microscopy in Characterizing Electrochemical Materials and Interfaces
Authors: Chen Xin
Published: June 2024

Cryogenic electron microscopy (cryo-EM) has emerged as a pivotal technology in materials science, particularly in characterizing electrochemical materials and interfaces. This paper delves into the recent advancements and applications of cryo-EM, underscoring its significance in understanding the intricate structures and mechanisms of materials sensitive to air and electron beams, such as lithium-ion battery electrodes. Cryo-EM's ability to capture materials in a near-natural state using vitreous ice and its compatibility with advanced imaging techniques like cryo-electron energy loss spectroscopy (cryo-EELS), cryo-electron tomography (cryo-ET), and cryo-focused ion beam (cryo-FIB) enhances our understanding of quantum and energy materials. This research will discuss the revolutionary impact of cryo-EM in areas like energy conservation and conversion, highlighting its role in visualizing sensitive materials and electrochemical reaction processes. This research addresses the need for comprehensive discussions on the characterization of quantum and energy materials through cryo-EM and related techniques, offering a thorough overview of recent advancements in this rapidly evolving field.
Research on Multimodal Generative Adversarial Networks in the Framework of Deep Learning
Authors: Xu Ruilin , Yang Yutian , Qiu Hongjie , Liu Xiaoyi , Zhang Jingbo
Published: June 2024

This project aims to align facial and vocal characteristics within a closely related common space through the construction of multi-modal generative adversarial networks (GANs). The project proposes a multi-modal approach grounded in visual perception, utilizing the Graph Cut algorithm to align feature components with the image features of each corresponding local context, thereby achieving adaptability in multi-modal information. To enhance the speed and accuracy of the modeling process, a regional attention strategy is integrated. Experimental results demonstrate that the proposed algorithm enhances the accuracy of image recognition tasks.
Remarks on Normal Distribution and Central Limit Theorem
Authors: Cheng Zixi
Published: June 2024

The normal distribution holds significant importance in the fields of mathematics, science, and engineering. Statisticians often use the normal distribution to get a good idea of how likely different real-life events are to happen. For example, they make it easier to show how data is spread out during the measurement process. This research looks at the basic ideas behind the normal distribution. The analysis examines the shape of the curve, the average value, the measure of variability, and its applicability across several disciplines. It also explains the central limit theorem, which says that when adding up a lot of random variables, they often form a distribution that looks a lot like a normal distribution. The study also talks about other statistical ideas, like confidence intervals and -tests, and how they relate to the normal distribution. Formulas and methods for changing statistical measures are broken down in the book, which also briefly talks about related distributions like the -squared and -distributions.
Research on the Influencing Factors of Consumer Seafood Consumption Willingness in the Bohai Rim Area Based on Random Forest and Structural Equation Model
Authors: Peng Yucong , Kang Le , Ma Zhongxu , Liu Junchen , Sun Yizhuo , Zhang Zhirui , Xiang Yichen
Published: June 2024

With the increasing prominence of environmental issues, the impact of nuclear pollution events on the marine ecological environment has attracted widespread concern. This study aims to explore the influencing factors of consumers' willingness to consume seafood in the Bohai Rim area when facing nuclear pollution events. By combining the use of random forest and structural equation modeling (SEM), this research conducted an in-depth analysis of the collected survey data. Initially, the random forest model was applied to rank the importance of satisfaction scale indicators, factor analysis was used to reduce the scale indicators to obtain factors affecting consumer satisfaction, and finally, the SEM model was employed to study the impact of various factors and indicators on consumer satisfaction, identifying the key factors affecting the willingness to consume prepared dishes. The study results show that consumers pay high attention to the origin, quality, and nutritional value of seafood, and these factors are proven to have a significant impact on consumption willingness through the measurement model. The structural model analysis reveals the importance of business services and product features in enhancing consumers' willingness to purchase. Additionally, the model fit indices indicate that the proposed model structure fits the actual data well. This study provides targeted marketing strategy recommendations for seafood suppliers to adapt to changes in consumer behavior under environmental changes.
GIS platform ecological water environment pollution automatic monitoring and analysis
Authors: Cong Zicheng
Published: June 2024

This paper summarizes the application of GIS platform for automatic monitoring of ecological water environmental pollution. Firstly, the function of GIS platform and its combination with environmental monitoring are briefly introduced, and then the pollution status of ecological water environment is analyzed, including the source of pollution, classification and the impact on environment and human beings. This paper focuses on the application of GIS in data collection and integration, spatial distribution analysis of pollutants, simulation and prediction of pollution diffusion, design and implementation of monitoring system, etc. Through the introduction of GIS technology, the monitoring and management of ecological water environmental pollution can be realized more effectively, which provides a strong support for environmental protection.
Analysis of the Problems in the Application of Educational Technology in Underdeveloped Areas
Authors: Feng Mengjiao
Published: June 2024

In underdeveloped areas, the teaching environment of educational technology has been initially established, which has laid a solid foundation for further enhancing teaching efficiency and improving teaching quality. But only when it is used effectively and reasonably can its function be maximized. If educational technology is turned into a stunt, it is undoubtedly a waste of the country's precious educational resources. Based on this idea, this paper discusses how to better promote the development of applied technology from the current teaching practice of primary and secondary schools in underdeveloped areas.
Exploring China's "The Belt and Road" Sports Foreign Aid Initiatives
Authors: Ren Wenning , Lorna A. Espeso
Published: June 2024

This study conducted interviews with coaches from Hunan Institute of Science and Technology who participated in the foreign aid management of the " Belt and Road " sports foreign aid project and athletes from aided countries, discussed the opportunities and challenges faced by foreign sports aid, and evaluated the experiences of foreign athletes from foreign aid in sports foreign aid. The results showed that Hunan Institute of Science Technology provided technical assistance to recipient countries and provided high-quality training facilities and systematic training plans to enhance the competitive ability of athletes in recipient countries. In terms of management mechanism, the university has established a team leader responsibility system and multi-department coordination and management to ensure the smooth progress of the project. Regarding the training plan, coaches formulate scientific and systematic plans in strict accordance with the characteristics of the project and the athlete's skill level to ensure the steady improvement of athletes' training performance. In terms of cultural exchanges, the university actively participates in international cooperation to promote national sports. However, the translator team faced the challenge of language and cultural differences and needs to strengthen foreign language communication and professional translation skills. Coaches had solid basic theoretical knowledge and professional technical level, but language, culture and other factors may cause communication and understanding barriers. The university provided comprehensive logistical support, but needed to adapt to the needs of different cultural backgrounds. Future research directions mainly focus on the following aspects, explore more diverse athletes and coaches, consider the responses of underage athletes, use focus groups to conduct research, pay attention to the sustainable development of projects, strengthen technological innovation, and strengthen cultural exchanges to promote the development of sports foreign aid projects.
The Influence of Green Supply Chain Management on Collaborative Innovation in Manufacturing Enterprises
Authors: Liu Jianxi , Gan Yu , Chen Yijun
Published: June 2024

This study utilizes questionnaire data collected from manufacturing enterprises in various regions through a survey method. It employs a moderated mediation model to empirically analyze the impact of green supply chain management on collaborative innovation and its underlying mechanisms. The results indicate that green supply chain management can promote collaborative innovation levels by fostering green innovation, and corporate social capital positively moderates the mediating effect of green innovation in the latter path. The research findings contribute to the further enhancement of collaborative innovation levels in manufacturing enterprises, expand the research on the antecedents of collaborative innovation, and provide a basis for the sustainable development of manufacturing.