bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Gender Differences between Leaders and Team Members on Leadership Styles in Group Collaboration
Authors: Bai Shuyang
Published: July 2024

The influence of gender difference on leadership style is one of the key topics in today's research. Although research has explored the relationship between leadership style and organizational performance, there is still a lack of in-depth understanding of how gender differences affect the interactions between leaders and team members. To fill this research gap, this paper examines the influence of gender differences on leadership style choice and effectiveness in teamwork. Using quantitative research methods, we analyzed data from 258 participants from different work environments. The results show that gender differences significantly affect the choice and effect of leadership style, and leaders of different genders tend to adopt different leadership styles, which have different effects on team cohesion and motivation. Specifically, female leaders are more likely to adopt a transformational leadership style, while male leaders are more likely to adopt a transactional leadership style. The findings highlight that to improve team effectiveness and promote a more inclusive and equitable work environment, organizations should consider adopting gender-sensitive leadership strategies. This study provides a new perspective for understanding the role of gender dynamics in organizational leadership and provides a theoretical basis for optimizing leadership practice.
Gamified Teaching Strategies from the Perspective of Embodied Cognition Theory
Authors: Xiao Lin
Published: July 2024

From the Perspective of Embodied Cognition Theory, cognitive processes are deeply intertwined with bodily interactions and sensory experiences. By integrating this theoretical perspective, the paper proposes a series of gamified teaching strategies. Kinesthetic learning activities, gesture-based learning, augmented reality (AR) environments, interactive storytelling, physical manipulatives, and virtual reality (VR) simulations are explored. These approaches aim to engage multiple sensory modalities and motor functions, fostering a holistic learning experience. The gamified teaching methodologies offers a promising pathway for enhancing educational outcomes. And it makes English teaching more engaging and effective for non-native English learners.
On the Strategies and Principles of Cultivating Students’ Intercultural Communication Competence in English Reading Teaching in Senior High school
Authors: He Yujie
Published: July 2024

Under the background of globalization, people from different countries are easier and closer to communicate than before. At the same time, education takes an important role in cultivating talents and future elites of country.  Therefore, it is necessary for senior high school English teachers to pay attention to the cultivation of students’ intercultural communication competence in teaching practice. At present, there existing many problems in senior high school English teaching, such as the old educational concept around exam-oriented education, the lack of intercultural communication environment and the lack of awareness of cultural learning among students themselves, resulting in the cultivation of senior high school students’ intercultural communication competence being a mere formality. Based on the above problems, it is imperative to find feasible strategies to foster senior high school students’ intercultural communication competence.
A Study of Marketing Strategy of Improving Digital Bobbi Brown's Design
Authors: Wang Chengcheng
Published: July 2024

In the era of electronic technology development, as a luxury brand with its original intention and raw materials as its name, Bobbi Brown needs a plan to improve its market from product design to publicity strategy. This study will focus on the development environment of Bobbi brown and its market in the electronic age and summarize Bobbi brown's improvement strategies and suggestions for future development. To effectively engage younger clients, particularly women under 34, it is imperative to actively promote the concise concept of 'less is more' since it strongly connects with them in today's context. The company should consistently develop new methods to create a unique and immersive experience for its clients, fostering a stronger emotional connection with the brand. Providing training services establishes a link between the company and its consumers, who actively participate and exchange information on the Internet.  Furthermore, Bobbi Brown should reduce prices to entice clients rather than rivals.
Market Reflections on Digital Transformation of Enterprises -- A Case Study Based on Haier Smart Home
Authors: Chen Yimeng , Lei Jinlan , Luo Xitong , Lyu Zixin
Published: July 2024

According to the current stage of research, enterprise digital transformation is advanced and makes enterprises strongly competitive, but the current research on the specific impact of its stock market is still insufficient. Therefore, this paper specifically explores the market reaction to enterprise digital transformation, taking the digital era as the background and the enterprise market as the object of research, to explore the impact of enterprise digital transformation on its market, applying the event study method, using the least squares OLS regression model to estimate the normal rate of return, then using the market model to calculate the abnormal rate of return, and then summing up the abnormal rate to get the cumulative abnormal rate of return, and taking Shanghai Smart Home's "Three-Winged Bird" brand transformation as an example to observe the impact of its stock market. Shanghai Smart Home's "Three-Winged Bird" brand transformation is used as an example to observe its market impact and draw conclusions. Finally, it will provide help and suggestions for subsequent digital development enterprises, and it is also expected that subsequent scholars will carry out more in-depth research.
The Impact of Equity Refinancing Methods of Technology Listed Companies on Stock Price Volatility
Authors: Zhao Hongwei
Published: July 2024

Current research on equity refinancing primarily focuses on the analysis of equity financing preferences and causes, the cost of equity financing, and the efficiency of equity financing. However, there is a notable gap in research concerning the volatility of stock returns and the associated risks of equity refinancing. This paper addresses this gap by describing the theory of refinancing as established by previous scholars and focusing on two common types of equity refinancing: share placements and issuances. The study investigates the impact of these refinancing methods on the volatility of stock returns for A-share listed technology companies in China. For the sample selection, this paper uses the daily closing prices of several A-share technology-listed companies in 2020 that adopted share issuances or allotments. It emulates the compilation method of the CSI 300 index to create a refinancing technology index as a variable and employs the GARCH model for empirical analysis. This approach allows for an examination of how the volatility of stock returns changes under different equity refinancing methods. The empirical analysis leads to the following conclusions: 1.Both share issuances and allotments affect stock prices increase the volatility of stock returns;2.The impact of allotments on stock return volatility is relatively small compared to that of share issuances, which cause more dramatic changes in stock prices.3.Equity refinancing has a significant short-term positive impact on the volatility of stock returns, with the effect of share issuances being greater than that of share allotments.
The Impact of Value Chain Embedding on Industrial Structure Optimization
Authors: Luo Haobo
Published: July 2024

Value chain embedding refers to the participation of enterprises in the activities of the global value chain and the benefits derived from it. Existing studies have shown that value chain embedding can bring multiple benefits, including improving production efficiency, reducing costs, enhancing product quality, and innovation capabilities, among others. However, the specific impact of value chain embedding on industrial structure optimization is still controversial in current literature. This article analyzes the impact of value chain embedding from the perspectives of manufacturing industry, service industry, industrial sector, and developing countries. By using a literature review approach combined with existing findings, this article summarizes the impacts of value chain embedding and proposes relevant suggestions to promote sustainable economic development. This study has important practical significance for enterprises to effectively embed value chains in their business processes and achieve efficient development.
Research on the Application Strategy of Light Healing Design in Desert Area Architecture
Authors: Zheng Xinyi
Published: July 2024

This research studies the application of light healing design in desert area architecture. Drawing on the desert's unique advantages, including ample daylight, diverse dune forms, a range of landscapes, and distinctive vegetation, and taking into account the lighting requirements of the population in the desert, research proposes two light healing design methods for the desert area: daylighting and artificial lighting. Through literature review and case analysis, the design strategy of desert light healing was formed. The aim is to provide inspiration for the location of desert architecture and the design of light healing technology and improve the physical and mental health and emotional regulation of people in desert areas.
Research on the Influence of Employee Psychological Factors on Enterprise Compensation Management—Take Tencent as an Example
Authors: Fan Haoyuan
Published: July 2024

The significance of investigating the impact of employee psychological factors on corporate compensation management lies in its pivotal role in shaping organizational dynamics. This research topic is chosen due to the critical influence of employee attitudes and perceptions on the effectiveness of compensation strategies within companies. The case description provides a contextualized examination of instances where employee psychology has played a decisive role in shaping compensation practices. It unveils real-world scenarios that highlight the complexity of managing compensation in light of diverse psychological factors. The analysis section scrutinizes the challenges associated with integrating employee psychology into compensation management. This involves a thorough exploration of the multifaceted issues arising from aligning compensation structures with motivational drivers, job satisfaction, and performance expectations. The analysis underscores the implications of these psychological factors on the overall success of compensation strategies. In the suggestion part, the study proposes strategic recommendations for organizations seeking to optimize their compensation management practices. These suggestions emphasize the need to tailor compensation packages to align positively with employee expectations, thereby fostering a conducive and motivating work environment. The conclusion emphasizes the overarching significance of considering employee psychological factors in compensation management. The research contributes to the understanding of how these factors shape organizational dynamics and emphasizes the imperative for organizations to adapt their strategies to the intricacies of human behavior within the workplace.
Research on Bridge Structural Health Monitoring System Based on Sensor Data
Authors: Hu Zhengxiao
Published: July 2024

As an important transportation infrastructure, bridge directly affects public safety and economic operation. With the aging of Bridges and the increase of traffic load, the traditional bridge maintenance methods cannot meet the current needs. Therefore, it is particularly important to develop a bridge structural health monitoring system based on sensor data. The purpose of this paper is to explore and implement a comprehensive monitoring and early warning system for bridge structural health, evaluate bridge health status in real time, and warn potential structural problems in time. The results show that the sensor-based bridge health monitoring system can not only monitor the health status of the bridge in real time, but also predict and warn the potential structural problems through data analysis technology, so as to provide decision support for the maintenance and repair of the bridge. Based on the continuous progress of technology, future bridge health monitoring systems will become more intelligent and automated.
Deep Reinforcement Learning (DRL) Is Used to Optimize Vaccination Strategies and Resource Allocation
Authors: Shi Xiangyuan
Published: July 2024

The purpose of this paper is to explore the application of deep reinforcement learning (DRL) in optimizing vaccination strategies and resource allocation. By constructing a DRL-based model, we aim to address the strategy selection and resource allocation problems encountered in the vaccination process. In this study, simulation experiments were used to verify the effectiveness of the model, and the model was compared with the existing methods. The results show that the DRL model can effectively improve the efficiency of vaccination and optimize the use of resources.
Analysis Of the Current Situation and Development of China's Luxury Consumption Market -- A Case Study Of "Chengdu Taikoo Li"
Authors: Zhou Yuehong
Published: July 2024

China has become an important market for the global luxury industry. The scale of the market is constantly expanding, and the amount of the consumer market maintains a steady growth. This paper combines literature analysis with case analysis, on the theoretical basis of luxury goods and consumer market, from the marketing strategy as the starting point, this paper analyzes the status quo of Chinese luxury consumption market and the reasons for its prosperity and development. Taking Taikoo Li in southwest Chengdu as a typical case, this paper summarizes the development process and successful experience, finally, the problems existing in China's luxury consumption market are analyzed, and put forward the corresponding countermeasures to cope with the development of the new era, to provide reference for the development of luxury industry. By exploring China's luxury consumption market, the current situation of the market and existing problems are understood, and the changes and industry conditions of China's luxury consumption market are pointed out.
Navigating Marriage Anxiety in China: Exploring the Interplay of Traditional Confucian Values and Evolving Gender Dynamics Through a Case Study of Social Media Influencers
Authors: Li Shiyi , Li Shuya
Published: July 2024

This paper’s primary goal is to determine if young people’s marital concern in the dynamic gender gap is connected to the post-epidemic Chinese marriage rates’ year-over-year fall. The theory of doing gender forms the basis of this qualitative investigation. The most popular video material and the top five most viewed comments from two influencers who specialize in marriage-related posts were examined in this study using a case study methodology. Based on the differentiation of the content of the two bloggers, this study will therefore analyze influencer C from the perspective of the responsibilities that the man and woman should bear in a traditional marriage and gender inequality, and A from the perspective of the correlation between gender traits and social gender. This research shows that the gender-equalized marriages that most Chinese young people currently expect have been realized to a certain extent in the two netizens. Further evidence that Chinese youth may be holding the two influencers accountable for their expectations of gender-equal marriages comes from the fact that they have garnered 512,000 followers as a result of their defiant actions against the traditional Confucian view of marriage. This further suggests that the traditional Confucian view of marriage is pressuring their own marriages and that they are looking for a way to reject it. The preliminary results of this study may help to shed light on the nature of why young Chinese people are resistant to and even fearful of marriage.
Decoding the Riddle of Youth Unemployment in China: Unveiling Culprits and Paving the Way for Progress
Authors: Zeng Zixi
Published: July 2024

The continuous increase in China's youth unemployment rate reflects the challenges of the current job market and the severity of youth employment issues, and is also a typical manifestation of the decline in China's economic growth rate. This paper aims to identify the major catalysts of China's escalating youth unemployment over the past three years and provide practical solutions accordingly. The hypothesis before investigation is that there might be three leading factors contributing to the employment crisis: the economic downturn, shifts in the industrial landscape, and obstacles encountered by young entrepreneurs. Online questionnaires were distributed and collected 100 responses, with most participants favoring the same factors as hypothesized. The results validate the urgency for targeted interventions, emphasizing the pivotal role of government action in fostering job creation, supporting vulnerable demographics, and promoting innovation. Overall, this research offers a reference to address youth unemployment, aiming to provide resilience and prosperity for China's future.
The Role of We-Media Development in Female Employment in China
Authors: Geng Yifei
Published: July 2024

In the context of the widening gender employment gap in China, this paper discusses whether the use of we-media can improve the employment rate of women. Closing the gender wage gap provides new impetus and is critical to achieving gender equality in China's labor market. Based on China provincial panel data from 2000 to 2020 and using 2015 as a time point, this paper establishes a multiple regression model to analyze the relationship between female employment and we-media. The paper also uses Variance Inflation Factor, F-test and Hausman test to identify the regression model. The result shows that we-media have some negative effect on female employment and developed cities are less affected than under-developed cities. The regression result has been influenced by statistical limitations in employment rates, the small sample of years and the COVID-19 pandemic. In this situation, more data will be used in the future to assist further analysis to reveal the true relationship.
Evaluating the Health and Environmental Impacts of Vegetarian and Meat-Based Diets
Authors: Hou Xingcheng
Published: July 2024

With the advancement of nutrition, the health effects of vegetarian diets and meat-based diets have been re-evaluated, giving the nutritional balance of meals a new way of evaluation. This paper assesses the comparative impact of vegetarian and meat diets on human health and environmental sustainability. It synthesizes research from multiple disciplines to assess the impact of these dietary patterns on health, with a focus on their role in the prevalence and management of chronic disease. Environmental assessments highlight the resource inefficiency of meat production and its ecological footprint, and advocate reducing meat consumption. In addition, the emergence of plant-based meat alternatives is discussed, considering their potential to mitigate health and environmental concerns. This paper concludes by promoting flexible eating habits, particularly Mediterranean and flexitarian diets, as a balanced approach to achieving health benefits and environmental sustainability.
Gut Flora and Osteoarthritis and Improvement of Osteoarthritis Through Intake of Nutrients
Authors: Jia Boao
Published: July 2024

Intestinal flora plays an important role in human health, and bone health is a topic of great concern. In recent years, researchers have begun to pay attention to the relationship between intestinal flora and osteoarthritis, attempting to use intestinal flora to promote bone health and lower the occurrence of osteoarthritis. Current studies have shown that the imbalance of intestinal flora may be associated with the onset and development of osteoarthritis, but the specific mechanism has not been fully elucidated. This article reviews some of the factors that contribute to the number of gut microbiota and how they contribute to osteoarthritis. It is concluded that the imbalance of intestinal flora may affect the condition of osteoarthritis. Due to the limited research at present, the mechanism of intestinal flora affecting bone and joint is not fully understood. This study provides a new perspective for understanding the pathogenesis of osteoarthritis, and future studies can further explore the influence of intestinal flora regulation on osteoarthritis and develop corresponding prevention and treatment strategies.
Role of Lactic Acid Bacteria and Their Exosomes in Anti-Food Allergy
Authors: Cui Xinyun
Published: July 2024

Food allergies, a pressing health concern with worldwide ramifications, have attracted immense attention in recent decades. A promising solution to this enduring issue lies in the prophylactic and therapeutic benefits offered by lactic acid bacteria (LAB) fermented products. These bacteria exhibit remarkable abilities, not only assisting in alleviating allergy symptoms but also in reducing the likelihood of allergies by intricately regulating the host's immune system. Through the process of fermentation hydrolysis, LAB modifies the antigenicity of food proteins, altering their linear epitopes and higher structural configurations. Additionally, they secrete epigenome modulators, release anti-inflammatory cytokines, and fortify the intestinal barrier, collectively contributing to the reduction of allergic reactions. The emerging role of LAB and their exosomes in combating food allergies presents an innovative and intriguing path for future research endeavors and therapeutic applications.This review summarizes the research achievements of lactic acid bacteria products in combating food allergies through two main approaches.
A Comprehensive Literature Review on The Interplay Between Genetic and Environmental Factors in Mental Illnes
Authors: Jin Yitong
Published: July 2024

This essay examines genetic factors and explores environmental factors while considering gene-environment interactions. Using a specific disorder, commonly perceived as influenced by either genetic factors or environmental factors, it illustrates how genetic predispositions and life experiences intertwine. Lastly, it discusses the role of epigenetics, where environmental factors lead to stable changes in gene expression, ultimately affecting mental health. This discussion supports the view that the relative significance of genetic factors versus environmental factors in causing mental illness depends on the type of disorder under consideration. Furthermore, it underscores the pivotal role of gene-environment interactions in the majority of mental disorders.
Research on Stock Portfolio Construction Based on Bi-LSTM Neural Networks
Authors: Li Jiawei
Published: July 2024

In recent years, the rapid globalisation of China's financial market has provided more opportunities for investors, but also brought about a more complex investment environment. This paper constructs stock portfolios based on Bi-LSTM neural networks, aiming to improve the accuracy of stock price prediction and the optimisation of investment portfolios using deep learning techniques. The theoretical part introduces the portfolio theory, including the mean-variance model and the capital asset pricing model, and explores the advantages of LSTM, Bi-LSTM and ATT-LSTM in processing time series data. The constituent stocks of CSI 300 index are selected in the research design part, and the stocks are screened using entropy weighted TOPSIS method and analysed based on the data from January 2018 to April 2024. The closing price and logarithmic return are predicted by constructing and using LSTM, Bi-LSTM and ATT-LSTM models, and then the trading strategies of EMA, MACD double conditions are determined, and the investment weights are determined by Monte Carlo method for the investment portfolio. The results of the empirical study show that the Bi-LSTM model has the optimal prediction performance, and based on the prediction data of the model, the trading strategy using the dual conditions of EMA and MACD achieves a higher investment return than the strategy using only MACD. In summary, this paper demonstrates the superiority of Bi-LSTM model in stock price prediction through empirical research, and proposes an effective portfolio construction method and trading strategy, which helps investors make more effective decisions in the complex market environment.
The Influence of Social Media Influencers Recommendation on Consumers' Impulsive Buying Behavio
Authors: Cao Jinglan
Published: July 2024

Depending on the widespread use of short-form mobile video and the Internet, social media influencers recommendation has brought consumers a new way to learn about products. It has gradually become an important part of marketing with its advantages of large viewership and good marketing results. However, consumers are influenced by social media influencer, impulse buying behavior continues to emerge. Based on SOR model and identity theory, this paper investigates the influence of social media influencers recommendation on consumers' impulse buying behavior. This paper constructs a theoretical model, including four variables: consumers' favoritism towards social media influencers, social media influencers' fit with the products it recommends, consumers' sense of identity, and impulse buying. The empirical data were obtained by means of a questionnaire, and multiple regression analysis, mediation effect tests were conducted. This paper examined the positive and significant effects of consumers' affection for social media influencers, the fit between social media influencers and the products them recommends, the sense of consumer identity and consumer impulse buying behavior. This paper also examined the partially mediating role of the sense of consumer identity between social media influencers recommendation marketing and consumer impulse buying.
Optimizing Client Selection for Wildlife Conservation Projects: A Comprehensive Approach Using AHP and Entropy Weighting
Authors: Chen Zhenbang , Wu Runfa , Li Ji
Published: July 2024

Illegal wildlife trade is becoming increasingly rampant. In order to select an appropriate client for wildlife conservation, a thorough analysis of the client's ability to implement our recommendations is necessary. Therefore, we use the Analytic Hierarchy Process (AHP) system to assess the alignment between the client's capabilities and the project requirements. In this paper, we develop an AHP assessment model that considers the correspondence between the client's capabilities in project implementation and the project requirements. Subsequently, we processed and evaluated the collected client data using the entropy weighting method to derive weights on six dimensions. The correspondence data was then applied to the AHP to determine the best choice based on the decision hierarchy and criteria. The combined entropy-AHP approach utilizes the strengths of both methods to make powerful data-driven decisions. Ultimately, through a series of calculations and tests, we identified the most desirable customer type as government.
Analyzing the Evolution of Film Narrative Structure during China's 40 Years of Reform and Opening Up
Authors: Chen Jiayang
Published: July 2024

Reform and opening have brought new opportunities for the development of China's film industry, and under the great changes of the times, the values of popular love have also quietly changed. Exploring a specific film theme such as romance can not only witness the commercialization of Chinese films but also perceive the influence of social material and ideological culture on the individual's concept of love through the differences in narratives. This paper will summarize the general characteristics of Chinese romance films based on previous studies and film-related data, and compare the narrative styles of films at the beginning and end of the 40-year reform period, to explore the changes in China's concept of love. The course of Western love narrative flux references Chinese loves narrative movies. From a materialistic point of view, this paper will focus on the aesthetics of the movie from the perspective of aesthetics of acceptance, and explain the connection between society, the audience, and the content of the romance movie.
A Study of Property Insurance in Extreme Weather Based on EWM-TOPSIS Modeling
Authors: Wei Mingzhong , Wang Lujie , Ye Jiwei
Published: July 2024

In recent years, increasing global climate change has led to a rise in the frequency of natural disasters, posing a threat to the safety of human life and property. This trend has put tremendous pressure on insurance companies, so we conducted a related study to more accurately assess the impact of natural disasters on them. We developed two models: the catastrophe-based insolvency probability model and the EWM-TOPSIS model. In the bankruptcy probability model based on the catastrophe model, we introduced the cumulative claim amount to derive the total loss and calculated the bankruptcy probability. And in the EWM-TOPSIS model, we chose seven official indicators to analyze and introduced insurance factors to construct the model. Through our study, we found that insurance factors play an important role in real estate decision-making and have a significant impact on the comprehensive evaluation of the region. In summary, our study provides insights and useful suggestions for understanding the impact of natural disasters on insurance companies.
Application of nanozymes in food safety testing
Authors: Zhang Ruimin
Published: July 2024

Nanozymes have advantages such as high stability, low cost, large-scale production, function design and cutting, and easy modification, so they have great application prospects in food safety testing. This paper mainly summarizes the testing principle and application of nanozymes in food safety testing, including pesticide and veterinary drug residues, pathogenic bacteria and other substances. The challenges faced by the future development of nanozymes in food safety testing was also discussed.
Research on the impact mechanism of green finance on industrial digitalization
Authors: Xiao Yang
Published: July 2024

In January 2022, the “Notice of the State Council on Issuing the Digital Economy Development Plan for the ‘14th Five-Year Plan’ ” issued by the Central Committee of the Communist Party of China and the State Council clearly stated that data resources would be the key element during the ‘14th Five-Year Plan’ period, and all-element digital transformation will become the vital driving force to promote the healthy development of the digital economy. Based on this, this article analyzes the influencing factors of industrial digitalization objectively with the usage of panel data from 30 Chinese provinces and cities from 2012 to 2021 to examine the impact of green finance on industrial digitalization. The results show that green finance is a favorable factor in promoting the development of industrial digitalization. The degree of advanced industrial structure is positively related to the degree of industrial digitalization. However, the proportion of greening in urban built-up areas hinders the development of industrial digitalization to a certain extent, and the Urban-rural income gap is negatively related to industrial digitalization.
The Role of New Media Technologies in Epidemics -- Taking the 2014 Ebola outbreak as an example
Authors: Yao Yulin
Published: July 2024

The Ebola outbreak in 2014 had a significant impact on the global public health system. However, New Media also played a crucial role. Before the outbreak of the epidemic, the role of New Media in the pandemic had already begun to receive attention from some scholars. The most unique aspect of the 2014 Ebola epidemic was the large-scale integration of new media and epidemic control. This paper analyzes the use of New Media during the epidemic to explore its impact on public opinion, information dissemination, and public health communication. The findings provide insights into the potential of New Media in future epidemic response and management.In this paper, the performance of New Media in the Ebola epidemic is analyzed, and it is concluded that New Media can facilitate cooperation among various parties, alleviate the pressure of the epidemic, promote the development of epidemic research, simplify epidemic control planning, and strengthen disease control. This paper also suggests the transmission of misinformation and the problems of epidemic anxiety and "Vaccine Hesitancy" brought about by new media technologies and their solutions, in order to prepare for future epidemics that may occur.
Depression detection system based on Gaze Tracking technology
Authors: Zhang Wanqing
Published: July 2024

Depression is a common mental health problem that affects individuals in many aspects, including emotional, cognitive, behavioral, and physiological levels. The impact of depression is profound, not only affecting the patients themselves but also affecting their families and society. Therefore, timely recognition of the symptoms of depression and seeking professional mental health services are critical to improving patients' quality of life and preventing potentially serious consequences. Based on psychology and computer vision research, this paper proposes a method to detect depression using GazeTracking technology. This method is simple to use, has small requirements for the running environment and cost, and helps detect and prevent depression in multiple scenarios.
Research and Outlook on the Role of Artificial Intelligence in Enterprise Operations and Management
Authors: Liu Feiting
Published: July 2024

The continuous advancement of science and technology has led to the emergence of artificial intelligence (AI) as a pivotal force in the operation and management of enterprises. This paper aims to examine the role of AI in enhancing the efficiency of enterprise operations and management, with a particular focus on the perspectives of large companies and small and medium-sized enterprises (SMEs). The rapid evolution of AI technology has brought about significant impacts and opportunities for the operation and management of enterprises. The competitive market and changing global environment present challenges to large companies, which must find new operational models to enhance their competitiveness. Artificial intelligence (AI) can assist large companies in addressing risk management and cost control by identifying potential risk factors and providing more reliable data support through data analysis and predictive modeling. Furthermore, AI can improve management efficiency in large companies by automating tedious transactional work and optimizing internal communication processes and teamwork efficiency. Small and medium-sized enterprises (SMEs) are facing challenges due to insufficient specialized human resource management capabilities and lack of risk control. Artificial intelligence (AI) plays an important role in HR management for SMEs, helping to improve the quality and efficiency of the recruitment process, automate HR processes, and reduce costs. Furthermore, AI can identify potential risk factors through data analytics and model predictions, thereby assisting SMEs in reducing losses from risks. In summary, the implementation of AI technology can assist organizations in enhancing operational management efficiency, optimizing existing operational processes, and developing novel business models and growth opportunities. Studying the application and impact mechanisms of AI in different fields can provide theoretical support for enterprises to formulate more effective strategies and management tactics. Furthermore, it can help them to better understand and apply AI technology, thus enabling them to better cope with the market competition and uncertainty environment. Ultimately, this will facilitate continuous innovation and development.
Operation And Management Development of E-Commerce Enterprises Under Digital Marketing Taking EASTBUY As an Example
Authors: Guo Yujie
Published: July 2024

In the face of the technical impact of Internet 4.0, enterprises in the e-commerce industry also need to change and develop with the changes of The Times, including the update of express management technology, the change of market drainage mode and the improvement of brand effect. Based on this social background, this paper makes an in-depth analysis of the challenges and opportunities faced by the operation and management of e-commerce platforms under the digital marketing means and finds that under the current situation of digital operation and management, the e-commerce industry has problems such as monopoly, quality deviation of online and offline products, and excessive marketing. Taking EASTBUY as the object of empirical analysis, through analyzing its digital operation management and digital marketing elements, the key points of its project management and user positioning are clarified, and it is found that enterprises in the e-commerce industry can optimize industrial upgrading by improving quality and cooperating with physical stores.
Overview of Preparation Process of Lithium Iron Phosphate Batteries for New Energy Vehicles
Authors: Xu Chenning
Published: July 2024

Lithium iron phosphate batteries have become one of the most popular batteries in the new yuan automobile industry because of their stable operating voltage, good stability and long cycle life. Lithium iron phosphate batteries are generally composed of positive collector fluid, negative collector fluid, positive material, negative material, diaphragm, electrolyte and other parts. The preparation process of lithium iron phosphate batteries include co-precipitation method, precipitation method, hydrothermal method, sol-gel method, ultrasonic chemistry method and other preparation methods. This paper introduces the preparation mechanism, battery structure and material selection, production process and performance test of lithium phosphate batteries with iron-based compounds such as ferrous phosphate trihydrate as iron source, lithium hydroxide or lithium oxide as lithium source, and single carbon source such as glucose, acetylene black, graphene, carbon nanotubes, etc. At the same time, important processes such as the batching process, wet grinding process, spray granulation process, sintering process, crushing process and finished product post-processing process are introduced in detail. Among them, spray granulation, sintering and crushing are the most critical steps in LFP production, which directly determines the performance of the LFP products produced. Finally, we look forward to the development of lithium iron phosphate batteries and provide views on future new energy vehicle batteries.
Forecast The Insurance Policy Under Extreme Weather Using the Gray Forecasting Model
Authors: Liu Yitong , Wang Yilin
Published: July 2024

Extreme-weather events have posed a great threat to the profitability of insurers and affordability of property owners. To mitigate the uncertain risk introduced by hurricanes, droughts, and plenty of other extreme weather, an insurance company decision making model is built. In the first stage, a combined model of CRITIC weight method and the Analytic Hierarchy Process (AHP simplified version) is used to calculate the weight of the specific indicators that impact the levels of underwriting risk. In the second stage, based on the indicators with the most weight calculated above, a gray forecasting model for Insurance Company is established to predict the underwriting risk in countries with adverse weather condition. It can be shown in the prediction results that all stage ratios of the translation transformed sequence are within the interval (0.834, 1.199). Therefore, the insurance companies should insure in areas where extreme weather events increase, which benefits their profits.
Advances Of Allergen-Specific Th2 Cells in Atopic Diseases
Authors: Dong Yu
Published: July 2024

Atopic diseases, such as atopic dermatitis (eczema), food allergies, allergic asthma, and atopic rhinitis (hay fever), involve our immune system overreacting to normally harmless substances. This can lead to chronic inflammation and various symptoms. In recent years, atopic diseases have become more prevalent around the world, affecting millions of adults and children (Thomsen, 2015). A particular type of immune cell, called allergen-specific Th2 cells, is known to play a vital role in the development of these conditions. This literature review aims to provide an overview of the current understanding on the role of allergen-specific Th2 cells in the pathogenesis of atopic dermatitis, peanut allergy, allergic asthma, and atopic rhinitis, with an emphasis on the biomarkers associated with their activation, recruitment, and effector functions. We will explore the molecular signatures of allergen-specific Th2 cells, their interaction with other cells and proteins, as well as their potential as therapeutic targets for atopic diseases.
Diabetes Prediction Based on Support Vector Machine Model
Authors: Xu Yundong , Nie Ying
Published: July 2024

Diabetes is a chronic condition, the symptoms of which may be relatively mild in the initial stages. Consequently, early prediction is of paramount importance for disease management and treatment. This study aims to employ a Support Vector Machine (SVM) model for the prognostication of diabetes risk. In comparison to conventional prediction techniques, SVMs are adept at capturing complex nonlinear relationships, and possess the capability to handle high-dimensional data and model nonlinearities effectively. By leveraging the strengths of SVMs, it is possible to anticipate the risk of diabetes based on various diagnostic indicators, thereby mitigating the severity of the condition and the risk of complications. The findings of this research offer valuable insights for the management and treatment of diabetes, holding significant application potential for the improvement of diagnosis and therapeutic strategies for diabetic patients.
Louis Vuitton Design Style to Attract Consumers
Authors: Liu Zhiyi
Published: July 2024

Marketing strategy is one of the key topics in today's research. Researchers find the progress of marketing strategy, but there is still a research gap in marketing strategy. Therefore, this paper conducts an experimental study based on the analysis of marketing strategy applied by Louis Vuitton's design style in the market and explores how to respond to changes in market demand through marketing strategy. Louis Vuitton adopts unique design style to attract its own consumers, and sets up unique marketing strategies to arouse consumers' desire to buy. At the same time, it analyzes its target consumers to determine consumption patterns and how to promote its products. This paper provides other brands with the successful experience of Louis Vuitton's design style and marketing strategy. Louis Vuitton needs to constantly innovate marketing strategies, try new design styles, strengthen online and offline interactive experiences, and make full use of big data and social media for precision marketing [10]. Through the implementation of these measures, Louis Vuitton can better adapt to market changes and maintain its leading position in the luxury market.
The Effect of Povidone-Iodine for The Prevention of Pneumonia
Authors: Zhou Yao
Published: July 2024

Background: Pneumonia poses a significant health threat and adversely affects the well-being and recovery of patients, particularly the elderly. With the growing emphasis on preventive healthcare and the rise in population aging, the prevention of pneumonia has become increasingly crucial. Povidone-iodine, a readily available and potent bactericidal disinfectant, has garnered attention for its potential in preventing pneumonia through oral disinfection. Objective: To evaluate the preventive effect of povidone-iodine on pneumonia. Methods: This article systematically searched for published studies in English and Chinese database between 2004 and 2024. This study included studies reporting the clinical application and effect of povidone iodine and the incidence of pneumonia. The raw data from these studies were pooled into the analysis of this article. The statistical analyses used in this study were performed using Stata version 17.0 (Stata Corp LLC, College Station, TX). Results: Fifteen studies were included in the study analysis. Nine studies showed that povidone-iodine reduced the incidence of pneumonia compared with saline, placebo, and oral care . The remaining 4 articles all showed the positive effect of povidone-iodine on the prevention of pneumonia. Two other studies showed that chlorhexidine oral care was more effective than povidone-iodine in preventing pneumonia, but only one study was statistically significant. Conclusion: The use of povidone iodine for gargling, mouth and nose care is a protective factor against pneumonia. It has important implications for pneumonia prevention strategies.
The Dilemma of Difficulty in Breaking through English Listening in the College Entrance Examination and its Coping Strategies
Authors: Jiang Baike
Published: July 2024

Since the new curriculum reform, the examination of English in the college entrance examination mainly focuses on language communication, in which listening is one of the key examination items, and it also occupies a certain proportion in the score of English in the college entrance examination. However, as far as the English listening teaching in China is concerned, a considerable part of English teachers' teaching methods are too single, and their teaching level varies, which leads to the slow enhancement of students' listening ability, and some students can't even pronounce the words in a standardized way, not to mention getting good grades in the college entrance examination process. This paper discusses the difficult dilemmas in English listening teaching in the college entrance examination, including students' weak basic knowledge, single listening material, lack of listening skills and poor psychological quality. Aiming at these problems, this paper puts forward a series of coping strategies, including strengthening basic knowledge learning, enriching listening materials, improving listening skills and strengthening psychological quality exercise. Through qualitative research, this paper verifies the effectiveness of these strategies and provides a useful reference for improving the effect of English listening teaching in the college entrance examination.