bluuebunny/crossref_metadata_2025 huggingface dataset:
Educational Strategies for Students with Hearing Impairment: An International Perspective and Developmental Path Analysis
Authors: Yue Jinru
Published: December 2024

The context of this study highlights that globally there is a growing trend toward inclusive education for students with hearing loss, however, this model may not always adequately address the unique needs of students with hearing loss. This study explores the balance between inclusive education and special education schools for students with hearing loss. It finds students with hearing impairment are facing the cognitive, linguistic, and socio-emotional challenges. The article compares education policies in different regions through a transnational lens. Based on the comparison between Finland and China, this paper argues that Finland's inclusive education is relatively mature. In contrast, China's special education is transforming towards inclusive education. Finland's education model can provide useful reference for the development of special education in China. Finally, this study proposes tailored strategies for students with hearing impairments to optimize educational outcomes. This study provides insights for realizing a balanced and effective educational model for this group.
Research on the Influencing Factors of Consumer Perceived Value on the Purchase Intention of New Energy Vehicles
Authors: Yang Denghao
Published: December 2024

In recent years, new energy vehicles have been widely loved by Chinese audiences and have formed an increasingly fierce development trend. The study of the sales factors of new energy vehicles is conducive to the development of the industry and the new energy industry. Based on SOR theory, this paper analyzes the factors influencing the audience's purchase intention. In this study, the questionnaire survey method and data analysis were used to set the independent variables as perceived functional value, perceived emotional value, and perceived social value, and the dependent variable was the audience's purchase intention. Analysis shows that three perceived values will affect their purchase intention and exhibit a positive correlation. The concept of environmental protection also plays a positive regulatory role. Therefore, new energy vehicle manufacturers should focus on improving the functional quality of vehicles, promoting technology research and development, providing customers with a better driving emotional experience, and cooperating with the government to improve the visibility of new energy vehicles.
Price Elasticity Study and Comparison between Agricultural and Fishery Products
Authors: Tai Ran
Published: December 2024

Amid an economic downturn, a complex and volatile domestic and international environment, and pressure on economic growth, the development of the agricultural and aquatic products industry has been hampered in many ways. Against this background, it is important to further analyze and understand the nature and characteristics of price elasticity and demand influencing factors of different agricultural and aquatic products to maintain the normal operation of their industries. In this paper, linear regression and price elasticity of demand formulae are used as the two most important methods. Linear regression is used for the derivation of the demand function and the analysis of the factors influencing the demand. The price elasticity of demand formula is used to calculate the price elasticity of different agricultural and fishery products and subsequent analyses. It was found that the differences in price elasticity and quantity demanded for agricultural and fishery products have different implications for firms, consumers, and farmers. The price elasticity of agricultural products is generally higher than that of aquatic products, and according to the different price elasticity characteristics, firms can adjust their business strategies, consumers can estimate and optimize their expenditures, and farmers can plan their production and planting. At the same time, because the demand for products is affected by price, season, and precipitation, different groups can give different feedback on the same products according to the season and precipitation.
Study on the Role of Diet in Gout Management and Its Mechanism
Authors: Li Zexin
Published: December 2024

Gout is a metabolic disease caused by hyperuricemia, which is closely related to diet. With the increasing incidence of gout and hyperuricemia, more and more studies have begun to explore the role of diet in the management of gout. Current research suggests that a low-purine diet, as well as avoiding alcohol intake, can help lower uric acid levels and reduce gout attacks. However, there is a research gap regarding specific dietary factors and dietary patterns and their long-term effects on people with gout. This paper analyzes the latest research on dietary guidance for gout and discusses the effects of different dietary factors and patterns on uric acid metabolism. The results of the study showed that the Mediterranean diet, the DASH diet, was more helpful in reducing uric acid levels. In addition, this paper also put forward more detailed dietary suggestions on the influence and mechanism of different factors in diet on gout. This study provides a theoretical basis for future personalized diet programs for gout patients, but the metabolic differences among different individuals and the effects of long-term dietary intervention are still insufficient. Future studies should further explore the relationship between diet, genetic factors and metabolic mechanisms to better guide clinical practice.
Analysis of User Acquisition, Brand Building, and Marketing Strategies for Love Mobile Games Based on Motivation Theory: A Case Study of "Love and Producer"
Authors: Chen Sitong
Published: December 2024

In the era of diversified and fragmented information acquisition methods, how to attract users to download and use games, build brands, and improve marketing efficiency has become a problem faced by major manufacturers. As a hot topic in the mobile gaming industry in recent years, love mobile games are worth exploring in terms of user acquisition, brand building, and marketing strategies. This article analyzes the characteristics of love mobile games in user acquisition, brand building, and marketing strategies from the perspective of motivation theory, and takes "Love and Producer" as an example for case analysis. Finally, suggestions are proposed from three perspectives: innovative game content, expanding user base, and technological upgrading. Through research, it has been found that games need to continuously increase brand added value and user emotional experience while meeting players' own needs, in order to enhance players' loyalty to the brand. At the same time, attention should be paid to brand culture construction and brand IP creation.
From Attraction to Dependency: The Inducing Traps of GACHA Mechanisms in GACHA Games and Their Impact
Authors: Yuan Haohan
Published: December 2024

With the rise of digital entertainment, the phenomenon of GACHA in games has become increasingly common, attracting widespread social attention. GACHA games are a form of non-transparent sales where players purchase chances to randomly obtain in-game items or characters. This mechanism has been widely applied in many online video games, especially in free-to-play games, where it is designed to encourage in-game purchases. This paper aims to explore the inducing traps of GACHA mechanisms and their impact on the game market and player behavior. Through literature review, the social issues and industry development issues caused by GACHA in games are analyzed, pointing out that existing studies have mainly focused on game quality and player motivation, while neglecting the inducing traps in game design. This paper adopts case study methods, selects two popular games, "Genshin Impact" and "Honor of Kings," and deeply analyzes their GACHA mechanisms. Combined with interviews with senior game designers, it reveals how game developers induce players to GACHA through means such as the "foot-in-the-door effect," sunk costs, recharge exchange ratios, increasing secondary game content, and strengthening social status after recharging. The study points out that GACHA mechanisms not only lead game companies into a low-quality internal competition but also may trigger players' excessive consumption behavior. The article finally suggests that through policy restrictions and market self-adjustment, it is expected to guide the game industry towards healthy competition and promote healthy development.
The Combined Impact of Pre-Departure and In-Country Intercultural Training on Expatriate Performance: An Empirical Analysis
Authors: Shen Yuliang
Published: December 2024

Globalization has pushed multinational companies to expand their cross-border operations, resulting in an increasing reliance on expatriates for international business development. However, adapting to cultural differences remains a major challenge for these employees. This study examines the combined effects of pre-departure Intercultural Training training  and in-country Intercultural Training training on expatriate employee performance. Intercultural Training (ICT) helps expats better adapt to a new cultural environment by providing them with cultural knowledge and skills. This study analyzed the independent and interactive effects of PDICT and ICICT using multiple regression models, using data from 206 expatriate employees of a French multinational company. The results showed that ICICT had a pronounced effect on employee performance, while PDICT alone had no pronounced effect. However, when the two are used together, the interaction effect pronouncedly improves employee performance. These findings suggest that multinational companies should implement comprehensive Intercultural Training training programs, including pre-departure and in-country training, to maximize training effectiveness and improve expatriate adaptability and performance.
Research on the Differences between Chinese and British Higher Education Models from the Perspective of Social Talent Supply
Authors: Qin Rui
Published: December 2024

Although the differences between Chinese and British higher education models have received extensive attention and research, there are still insufficient studies on the differences caused by social talents. This paper analyzes the differences between Chinese and British higher education models from the perspective of social talent supply from the aspects of classroom models, education policies, and social forms. Through the analysis, it is concluded that different social backgrounds and education models between China and British lead to differences in higher education and talent training. Based on this, this paper puts forward the following suggestions: Higher education in both China and the UK should first improve the quality and equity of education. Although the types of talents cultivated by higher education in the two countries are different due to social background reasons, the essence of education should be people-oriented, and the required knowledge and skills should be imparted to students on the premise of ensuring fairness.
A Revaluation of Heavy and Chemical Industry Promotion of South Korea
Authors: Yang Sheng
Published: December 2024

The Formulation of the HCI (Heavy and Chemical Industry) promotion policy was a turning point of the South Korean economy development. It is the most important industrial policy during the Yushin regime, which led by dictator Park Chung-Hee. However, due to the dictatorial nature of the Yushin Regime and its complicated repercussion, the valuation of the HCI promotion policy is a mixture of praise and criticism. This essay aims to explore the gain and loss of the HCI promotion policy and its impact on South Korea future development.
The Research of How Perceived Ads Intrusiveness of Newsfeed Ads Affects Advertising Avoidance Behavior
Authors: Chen Yuxiao
Published: December 2024

This study surveyed 266 RED users and analyzed the data to explore advertising avoidance behavior on this platform. It focused on examining how the perceived ads intrusiveness of newsfeed ads indirectly influences user advertising avoidance behavior through psychological reactance. The research results show that although the direct positive correlation between users' perceived ad intrusiveness and advertising avoidance behavior is not significant, perceived intrusiveness influences users' anger and negative cognition. These mediating variables, indirectly drive advertising avoidance behavior, with negative cognition playing a more important role in promoting ad avoidance than anger.
Based on the Research on The Construction Management and Existing Problems of Municipal Road and Bridge Engineering
Authors: Huang Pingyu
Published: December 2024

This paper analyzes the role of municipal road and bridge engineering construction management and the problems existing in engineering construction management, and puts forward ways to optimize the construction management of municipal road and bridge engineering in view of these problems, hoping to bring valuable reference to the construction of municipal road and bridge engineering and further promote the construction and development of the city.
Research on the Application of Two-Photon Polymerization Technology in Micro and Nano Manufacturing
Authors: Zhang Weilin
Published: December 2024

Two-photon polymerization (TPP) technology is a crucial technology in the field of micro and nano manufacturing, enabling high precision and high resolution 3D structure manufacturing. This review provides an in-depth analysis of the development and application of TPP technologies, highlighting their transformative impact across multiple sectors. Firstly, it summarizes the research background of TPP technology and its importance in micro and nano manufacturing. It then explores key application areas of TPP technologies, including microphotonics and optoelectronics, biomedical engineering, micromechanical systems (MEMS), and nanotechnology. The review also discusses the latest technological breakthroughs such as material innovation, equipment and system optimization, and process innovation driving the application of TPP technologies. Furthermore, it delves into the advantages of TPP technology with particular emphasis on accuracy, resolution, design flexibility as well as challenges related to cost, speed, and material constraints. Finally, the discussion section predicts future trends in TPP research exploring potential new applications while emphasizing long-term impacts on the field of micro- and nano-manufacturing.
The Impact of Diabetes on Dental Health
Authors: TSZ KIN FENG
Published: December 2024

Diabetes represents one of the most susceptible chronic diseases, encompassing an array of diverse complications. The lack of awareness regarding the detrimental effects of diabetes on dental health is evident therefore this article is to educate people regarding such condition. Currently, there is moderate evidence suggesting a significant impact of diabetes on dental health, Furthermore, it exhibits a pronounced association with periodontitis. as well as a bilateral relationship between periodontal disease and diabetes with each condition potentially exacerbating the other. The present article addresses the existing deficiencies in this field by incorporating an analysis of the impact of diabetes on dental health and proposing effective strategies for its management. The implementation of this approach may effectively contribute to a reduction in the prevalence of diabetes and promote dental health. For individuals diagnosed with diabetes, it enables them to gain awareness regarding the detrimental impact of diabetes on their oral health and take appropriate measures to mitigate such effects.
CiteSpace-based Big Data Processing Technology Research Hot Spots and Frontier Analysis
Authors: Sun Huiqin , Zhang Gaorui , Wang Xiaohong
Published: December 2024

The objective of this study is to present a visual representation of the literature on big data processing technology (2020-2024) in the China Knowledge Network (CNKI) and to conduct a detailed analysis thereof. The analysis is based on the community structure analysis software CiteSpace, which allows for a comprehensive examination of the institution that publishes the relevant literature, the authors of the literature, and the keywords. The results of the analysis demonstrate that the primary research foci in the field of big data processing technology are the analysis of data utilization in societal contexts and the development of techniques for processing and mitigating potential risks. In the future, the advancement of big data will witness a diversification of trends. As artificial intelligence, cloud computing, and other technologies continue to evolve, big data processing technology will increasingly prioritize intelligence and automation to enhance the efficiency and precision of data processing.
Preparation of Graphene and the Uses in 3D Printing
Authors: Wang Zihua
Published: December 2024

The incorporation of graphene into 3D printing technology has brought a new perspective for several industries. This review explores the methods applied in creating graphene, including mechanical exfoliation and chemical vapor deposition. The significance for developing high-quality graphene in 3D printing is also discussed. Among the 3D printing processes, direct ink writing (DIW) is one of the most promising methods for fabricating graphene-based structures. The critical concerns of this technique are concerning with ink rheology and material purity. Meanwhile, contributions related to the other manufacturing techniques including fused deposition modeling (FDM) and stereolithography (SLA) are also discussed. The cost-effectiveness of FDM is still questioned. The challenge of the uniform dispersion of graphene in filaments has to be solved. SLA offers precision at the cost of complexity in resin formulation. While the incorporation of graphene significantly enhances the conductivity, mechanical strength, and thermal stability of 3D-printed materials, challenges regarding scalability and environmental impact still remain. In the future, further developments in graphene-based 3D printing techniques may concerning with the manufacturing from aerospace components to flexible electronics. The status and challenges of this technology are also pointed out in this work.
Shale Gas Fracturing Construction Parameter Optimization Based on SSA-XGBoost
Authors: Dai Jixin , Zhang He
Published: December 2024

To address the challenges of poor model performance, low prediction accuracy, and suboptimal application of intelligent optimization algorithms for hydraulic fracturing parameter optimization in shale gas production, this study proposes a novel optimization method based on the SSA-XGBoost algorithm. First, using production data from 120 wells with complete records in the Y block, grey relational analysis (GRA) was employed to reduce dimensionality among 14 factors affecting fracturing performance, resulting in the selection of nine primary controlling factors. Based on the mapping relationship between these controlling factors and the fracturing performance evaluation index (daily gas production), the Sparrow Search Algorithm (SSA) was applied to optimize the hyperparameters of the Extreme Gradient Boosting (XGBoost) model. The resulting SSA-XGBoost-based shale gas production prediction model improved the coefficient of determination (R2) by 5.6% compared to the original model, achieving significantly enhanced prediction accuracy and outperforming existing models in the field. Finally, based on the production predictions of the optimized model, the optimal parameter ranges for hydraulic fracturing were determined, yielding normalized daily gas production 27.50% higher than that of benchmark wells. These findings demonstrate the rationality and accuracy of the proposed optimization approach, providing valuable reference for on-site fracturing parameter design.
The Mechanism of Qingkailing on Acute Tonsillitis Based on Network Pharmacology
Authors: Fan Shuhan
Published: December 2024

Acute tonsillitis is a common inflammation in the population. How to quickly control the development of acute inflammation is a problem worthy of study. Modern studies have found that traditional Chinese medicine has obvious effects in controlling inflammatory reactions, such as anti-virus, anti-bacteria, anti-infection and so on. Based on network pharmacology, this paper explores the mechanism of action of traditional Chinese medicine compound Qingkailing on acute tonsillitis, and further explores the mechanism of anti-inflammatory treatment of traditional Chinese medicine. In this paper, various databases were used to analyze the active ingredients of Qingkailing prescription and the gene targets of acute tonsillitis. The target mechanism and molecular signaling pathway of Qingkailing in the treatment of acute tonsillitis were demonstrated through multiple mappings. It is clarified that Qingkailing regulates the inflammatory process of acute tonsillitis through multi-component, multi-pathway and multi-target. In the course of the study, we found that the active ingredients of Qingkailing may also be related to cancer, diabetes, cancer and other diseases, which is worthy of further exploration.
Research Review on the Influencing Factors of Carbon Emissions in Existing Communities
Authors: Feng Yuzhe
Published: December 2024

Community is an important part of the city and the basic unit of human life and work. Reducing the total and intensity of carbon emissions in the community is an important part of achieving carbon peaking and carbon neutrality in the city. On February 24, 2022, at the press conference held by the State Council Information Office, the Ministry of Housing and Urban-Rural Development stated that it would focus on green and low-carbon development and build green and low-carbon communities [1]. Reducing community carbon emissions has become a key task in the field of housing construction in China. Although the pilot construction of low-carbon communities and near-zero-carbon communities is advancing rapidly and orderly, and relevant research has discussed the definition, boundary and calculation content of the community, there are still gaps in the proportion of carbon emissions in each part of the community, the identification of influencing factors, and the carbon emission intensity index. How to conduct a reasonable and reliable evaluation of the carbon emission situation of existing communities is an important issue in the research on the low-carbon development of existing communities.
A Method for Preparing Gallium-nickel Alloy Solid Targets by Alternating Current Plating
Authors: Hu Sheng , Yu Wei , Gong Xiang , Liu Yuhong
Published: December 2024

In this paper, an alternating current electroplating platform is built. Gallium-nickel alloy plating is prepared on copper targets by using alternating current electroplating methods. The mixed solution of gallium and nickel metal ions is used as the electroplating solution. The differences of gallium-nickel alloy targets prepared by alternating current plating under different conditions of temperature, current density and pH of the plating solution were investigated, and a set of electroplating conditions for gallium-nickel alloy targets prepared by AC electroplating platform were summarized in this article. It is concluded that the gallium-nickel alloy coating with excellent surface quality can be obtained under the conditions of the temperature of the plating solution below 80℃, the current density of 25-50 mA/cm2 and the pH of the plating solution of 1.75-2.25 by the analysis of a series of experimental results. At the same time, it seems that the quality of gallium-nickel alloy coating obtained by AC plating is better than that of DC plating under the same conditions through the characterization results. Therefore, the scheme of using an AC electroplating platform to prepare gallium-nickel alloy targets is feasible.
Analysis of Factors Influencing Consumer Trust in Live E-commerce
Authors: Zhang Anbo
Published: December 2024

With the application of 5G technology in the commercial field, live streaming e-commerce is flourishing in the new era of consumption, where consumer trust is the key to winning the market and the future, as well as a rare resource. This article explores the results analysis of consumer trust from three aspects: consumer behavior, enterprise development, and e-commerce ecosystem, and discusses the influencing factors of consumer trust in live streaming e-commerce based on product, consumer psychology, and e-commerce marketing strategies. The conclusion drawn is that the long-term evolution of e-commerce relies on the sustained trust of consumers. If live-streaming e-commerce platforms can establish and maintain high levels of trust, consumers will prefer to make repeat purchases on the platform, thereby promoting the platform's long-term development. On the contrary, if the platform has false advertising, product quality issues, etc., it will seriously damage consumers' trust and lead to user churn. In the operation of live streaming e-commerce, there are also moral risks such as the "popularity of people" being greater than the "popularity of goods", as well as trust crises and risks such as lack of product authenticity and protection of consumer rights, which require corresponding response strategies. Such as establishing strict admission mechanisms, improving the legal awareness and professional ethics of anchors, and strengthening consumer rights protection.
The Application of New Media in Digital Reading Promotion in University Libraries
Authors: Liu Xiaobo
Published: December 2024

With the increasing improvement of China's scientific and technological level, the development pace of new media is also accelerating, which has been widely used in various fields and achieved remarkable value. University libraries are academic institutions that provide services for teaching and scientific research. They have extremely rich information resources to meet the diversified needs of teachers and students. Introducing new media technology into university libraries can transform the traditional concept of reading promotion, improve the targeting of promotion work through new promotion models, and highly meet the reading needs of teachers and students. Therefore, university library workers should change the inherent thinking mode, deeply realize the value of new media, apply new media technology to daily reading promotion work, and ensure the effectiveness of digital reading promotion. However, affected by multiple factors, the actual effect of activities is not obvious, the role of new media has not been maximized, and the personalized needs of readers are also difficult to meet. Therefore, university libraries need to actively adapt to the new media environment, make full use of the advantages of new media, and innovate digital reading promotion strategies to meet the diversified reading needs of readers.
Digital Finance on Economic Development: Impact and Prospect
Authors: Zhou Litao
Published: December 2024

In the wave of digitalization, more and more countries are beginning to value the power of digital finance, positively embrace the frontier technological revolution. Developing the digital finance is regarded as a key path to promote the healthy economic operation and build economic powerhouse, is currently a research hotspot. The paper aims to review the research literature about the impact of digital finance on economic by relevant scholars in recent years. Firstly, this paper combs the three stages of the development of digital finance in China, demonstrating its evolution process. Secondly, this paper analyzes the impact of digital finance on the economic development from both micro and macro perspectives. Finally, this paper prospects future research in this field and provide several research directions. The significance of this paper is to sort out and summarize how digital finance affects economic development, provide a foundation for future research and construction, and provide a theoretical reference for policymakers to better develop the economy.
Influencing Factors and Prediction of Heart Disease
Authors: Xia Changhai
Published: December 2024

Heart disease (HD) is a key issue of concern in the global safety and health field nowadays. Some researchers listed the predisposing factors and established some models to predict the incidence rate. However, there is still a gap in the research on the influence of related factors and the comparison of different models. Therefore, the research topic of this article is the importance of HD factors and the comparison of model predictions. Following are this article’s research methods: Firstly, this project preprocesses and visualizes the data based on the Heart Failure Prediction Data Set. Then this article establishes three mainstream research models, including Logistic Regression (LR), Random Forest (RF), and Support Vector Machine (SVM) model. Finally, this article introduces the Receiver Operating Characteristic (ROC) curve for better comparison of models and illustrates the importance of variables on HD through the ranking graph. Research has found that the RF model has the highest prediction accuracy, reaching 86.34%, and its Area Under Curve (AUC) is also the largest. Therefore, through comparison, the predicted accuracy of the RF model is the best. Meanwhile, in the ranking image of variables, it can be concluded that the Slope of peak exercise ST segment (ST_Slope) has the greatest impact on HD. Due to the possibility of prediction errors and limited applicability, it is possible to consider improving the variables to enhance model accuracy and contribute to health.
The impact of driving restrictions on air pollution and public health in Beijing
Authors: Lu Tianxin
Published: December 2024

This paper investigates the impact of road traffic-related air pollution on public health in Beijing and evaluates the effectiveness of driving restriction policies in mitigating both traffic congestion and environmental pollution. With Beijing facing severe air quality challenges due to rapid urbanization and increased vehicle use, various measures have been implemented over the years to improve air quality. The 2008 Beijing Olympics served as a catalyst for stricter emissions controls and vehicle restrictions, leading to a reduction in pollutants such as nitrogen dioxide (NO2) and particulate matter (PM). This study traces the evolution of these policies, assesses their effectiveness in reducing air pollution and carbon emissions, and examines the broader public health implications. The paper concludes that while significant progress has been made, further innovations such as low-emission zones and congestion pricing could help address the remaining challenges of air pollution and traffic congestion in the city.
Multidimensional Assessment of Heart Disease Risk: Associations Between Changes in Physiological Parameters and Morbidity
Authors: Dong Jiaxin
Published: December 2024

Heart disease is one of the main reasons for death worldwide, with coronary heart disease, hypertensive heart disease, and cardiac arrhythmias being prevalent. Modern lifestyle changes (e.g., unhealthy diets and irregular work schedules) have increased the frequency of heart disease and impacted people of all ages, so it is important to accurately analyze its risk factors. However, there is still a research gap in assessing multiple factors' effects on heart disease through different models. In this paper, LDA (Linear Discriminant Analysis) is used as the core research method to model and analyze multiple health indicators (e.g., blood pressure, sex, age, heart rate, etc.). Compared with different models, like Logistic Regression, and QDA, in accuracy, sensitivity, and specificity, to get the best model. The study shows that LDA has high accuracy in classifying and identifying high-risk groups. Although it also cannot classify every single variable, after removing irrelevant variables, it also shows the best accuracy of the dataset. Therefore, the conclusion states that the LDA model performs well in heart disease risk assessment and can provide strong support for early analysis and accurate assessment.
Organizational Behavior and Human Resource Management: A study on the work motivation and incentive mechanism of the new generation of employees
Authors: Yu Jingfei
Published: December 2024

Having grown up in the Internet era of information explosion, the post-90s and post-00s have become the dominant force in the workplace and have a distinct work attitude and lifestyle. This results in their work motivation and incentive mechanism being very different from traditional employees. Therefore, studying these characteristics of them is crucial for enterprises and organizations. Through investigation and analysis, this study aims to reveal the current situation of work motivation and incentive mechanism of the new generation of employees, and explore the reasons behind it. At the same time, we provide management suggestions for enterprises to better meet their needs, enhance work enthusiasm and creativity, and thus enhance the competitiveness of enterprises. The new generation of workers' work motivation and incentive systems are remarkably shaped by The Times and their unique needs. Enterprises should adjust the management mode and incentive mechanism, pay attention to individual needs and emotional care, and build a positive corporate culture. Strengthen career planning and staff training at the same time, offer a wide range of opportunities for growth, and improve employee loyalty and satisfaction as well as the competitiveness of the business and its capacity for sustainable development.
Dynamic Response and Stability Analysis of Anti-slide Pile Reinforced Slopes under Earthquake Conditions
Authors: Zhang Longqian
Published: December 2024

This paper examines the seismic stability of a slope located in Shimian County, Ya'an City, Sichuan Province. The earthquake activity level in the area is classified as VIII, with a designed peak acceleration of 0.3g. A three-dimensional finite element model was established using ABAQUS to analyze the effects of different amplitudes of Wenchuan earthquake waves (0.1g, 0.2g, 0.3g) on the skid pile slope. Research has found that as the intensity of seismic waves rises, the peak seismic acceleration and displacement at various monitoring locations on the slope surface also grow, and the amplification effect becomes more significant at higher altitudes. In addition, the peak horizontal displacement in the x-direction at different elevations of the slope surface also increases with the rise in seismic wave amplitude The first principal stress of the skid pile is mainly concentrated near the connection between the sliding surface and the skid pile, and the peak stress increases with the amplitude of seismic waves. Research has shown that the stability coefficient of skid piles under 0.3g earthquake conditions is lower than the standard requirements, indicating that using skid piles alone may not be sufficient to ensure slope stability. Recommendations to strengthen or resize the structural design.
Research on IP Marketing Strategy Based on Emotional Ties: Linkage Analysis of Brand Loyalty and Social Media Interaction--The Case of Lina Bell
Authors: Chaobo  , Fang Yuxiang , Sun Yuchen , Xiao Qing
Published: December 2024

In the new era with high-developing information and prevalent use of social networks, there are gradually more and more frequent interactions in social media which is of great importance, making it the core channel for communication between brands and their consumers. However, there are relatively less analysis on how emotional ties influence brand loyalty. The research takes Disney’s Linabell image as an example, discussing how these brands can use social media interaction under guidance of these theories to enhance brand loyalty. The research use questionnaire survey to analyze customers’ emotional feedback and preference. The study found that consumers' emotional connection to personalized IP stems primarily from IP's unique design and backstory, elements that are amplified by high-frequency interactions on social media. In addition, social media interactions significantly boost consumers' sense of engagement and emotional value, further driving purchase behavior. The research results provide instructional guidance for brand strategy in digital marketing. It concludes that by giving distinct affective attributes and personalized story to its intellectual property image, brand can establish a profound emotional link with its customers on social media platforms, in order to increase interactional frequency as well as enhancing relationship between them. Therefore, brands can focus on establishment of emotional value through IP design and improve interactions on social media platforms to form persistent emotional ties. At the same time, the phenomenon of light culture should be prohibited to ensure the quality and cultural value of IP image.
Brand Construction and Promotion Strategy of Second-hand E-commerce Platform: An Example of Xianyu
Authors: Wei Yurui
Published: December 2024

The growing popularity of concept of the idle economy has given rise to the emergence of second-hand e-commerce platforms, which are now regarded as a new trend. In order to enhance their competitiveness in this turbulent market environment, platforms must identify an appropriate branding method and develop effective promotional strategies to attract users. At present, there has been a substantial theoretical investigation of conventional e-commerce platforms within academic community. However, there remains a theoretical gap in the emerging domain of second-hand e-commerce platforms. This study employs the process tracing method to analyze China's largest second-hand e-commerce platform and explore the effectiveness and replicability of its construction and promotion model. The study revealed that the conglomerate operation model of the Xianyu platform is hard to replicate. Its utilization of conventional social media marketing techniques to sustain community vitality is effective, yet it is somewhat lacking in innovation. However, there is a need for the construction of its community culture and the deployment of focused strategies that are worthy of emulation. This study recommends that second-hand e-commerce platforms facilitate the transformation of the community and the co-creation of a community culture between enterprises and users. The utilization of circle segmentation, the organization of strong participation activities online and offline in small communities, and the enhancement of users' sense of belonging to the communities are advised. Additionally, innovation models should be customized to the platform's positioning and user characteristics and integrated with focused strategies.
Macroeconomic Impact of Infrastructure Investment in the United States
Authors: Liu Zihang
Published: December 2024

Federal and state investment in infrastructure is seen as a key engine to drive economic growth and promote long-term sustainable development. Given the historic underinvestment, this article provides an in-depth look at the current state of infrastructure spending in the United States and the macroeconomic implications of recent policy and legislative actions to address infrastructure deficiencies and gaps. Greater investment in basic areas such as transport networks, Internet connectivity and clean water not only drives job growth by increasing the demand for workers in the Labour market, but also significantly increases the productivity of infrastructure reconstruction and the flexibility of supply chains. These investments have become important factors in boosting potential output growth and gross domestic product (GDP), especially the "multiplier effect" that further amplifies the return on infrastructure investment, injecting a strong impetus to economic growth. Sustained and stable infrastructure investment is therefore critical to achieving macroeconomic stability and long-term prosperity.
The Impact of Financial Structure Optimization on Industrial Upgrading and Economic Development under the Northeast Revitalization Strategy
Authors: Gao Yuxi
Published: December 2024

Northeast China plays a significant strategic role in the country's overall development, particularly as a traditional heavy industrial base that has had a profound impact on the national economy. Since the revitalization strategy for this old industrial base was launched in 2003, the region's comprehensive economic strength has steadily improved, with gradual optimization of its economic structure. However, despite progress in the financial sector, challenges such as inefficient resource allocation and insufficient support for industrial innovation remain. This paper aims to study and highlight the positive role of financial structure optimization in promoting industrial upgrading. By conducting an in-depth analysis of the region’s industrial upgrading paths and the characteristics of its financial structure, the paper explores how optimizing financial structures can effectively drive industrial transformation and upgrading. Ultimately, the paper seeks to establish a systematic theoretical framework that provides a foundation for future research and offers theoretical guidance and references for practical applications in Northeast China's economic development and industrial policy reforms.
Review of Advances in Numerical Simulation of Concrete under Low-Temperature Conditions
Authors: He Junting
Published: December 2024

In recent years, concrete has continued to be widely used as a core material in construction and infrastructure projects globally. With the continuous advancement of construction technology and materials science, there are increasing demands on the mechanical properties of concrete structures, including their performance under low-temperature conditions. However, traditional experimental methods are limited by time and cost constraints, making it difficult to fully reveal the behavior of concrete under low-temperature conditions. Moreover, early numerical simulations can provide critical insights to ensure the safety of concrete structures in such environments. As a result, research on the mechanical behavior of concrete under low-temperature conditions, based on digital simulation technologies, has become a forefront topic in this field. With the enhancement of computational capabilities and the refinement of numerical methods, significant progress has been made in digital simulation techniques for concrete mechanics. Advanced simulation methods, such as the finite element method, discrete element method, finite difference method, and boundary element method, have become central to improving the reliability of simulation results through more precise models and efficient computational approaches. Against this backdrop, the review "Review of Advances in Numerical Simulation of Concrete under Low-Temperature Conditions" has emerged, summarizing the latest advancements in digital simulation techniques for studying the mechanical behavior of concrete under low temperatures, analyzing current challenges, and exploring future directions. This review aims to provide researchers with a comprehensive reference framework, fostering further development in the field of concrete mechanics.
Study on Acoustic Emission Characteristics and Crack Evolution Characteristics of Conglomerate Under Uniaxial Compression
Authors: Zhou Yangyang , Wang Wen
Published: December 2024

Taking the giant thick conglomerate in Yima mining area as the research background, this paper investigates the acoustic emission characteristics and crack evolution law of conglomerate with different grain sizes under loading conditions through uniaxial compression test and acoustic emission (AE) technology, and discusses the influence of grain size on its damage mechanism and damage evolution. The results show that : the AE energy and ringing counts of conglomerate specimens increase significantly with the increase of grain size, and large-grained conglomerates show stronger shear damage characteristics during the damage process; Specimens with larger grain sizes have a higher rate of AE events during the damage process, whereas those with smaller grain sizes show a lower damage variable D and higher load-bearing capacity after the damage intensity; During the whole process of rock damage, the AF value shows the evolution law of first fluctuation, then decrease, and a small increase near the damage, while the RA value is overall lower, and rises sharply near the damage, indicating that the change of AF and RA values can be used as a precursor indicator of rock destabilization damage; The crack extension form evolves significantly with the loading process, with tensile and shear cracks predominating before the initiation of the fracture strength, and shear cracks predominating near the destabilization damage. Shear cracks dominate near the destabilizing damage. The shear crack surge stage of medium and coarse grain specimens with larger grain size appeared after the crack initiation strength, while the shear crack surge stage of fine grain specimens with smaller grain size appeared after the damage strength. The results reveal the acoustic emission characteristics and crack evolution laws of conglomerates with different grain sizes during the damage process, deepen the understanding of the mechanical behavior and damage mechanism of conglomerates, and provide theoretical basis and technical support for the stability evaluation of the giant conglomerate strata in the Yima Mining Area and the prediction of engineering disasters.
The Impact of Brand Image Building on Consumer Decision-making: Taking the Milk Tea industry Represented by Mixue Ice Cream Tea as Example
Authors: Pang Xinru
Published: December 2024

Brand image is an important tool for brand marketing. It can help companies enhance their competitive advantages and increase customer loyalty, and it can also help the market expand its scale. Brand image will also provide different degrees of stimulation at different stages of consumer decision-making. Since the market environment of previous research is limited to industries such as automobiles and luxury goods, this study intends to further explore the impact of brand image on consumer decision-making under different market environment and cultural backgrounds. This research method is qualitative research, which mainly uses the process tracking method in case study to explore the strategies and measures taken by Mixue Ice Cream & Tea in the process of brand image building, and how to influence consumers' brand cognition and purchase decisions. By collecting data from Mixue Ice Cream & Tea and classifying and analyzing it according to different aspects of brand image, the relationship between brand image elements and consumer decision-making is further analyzed, and the five successful elements for brand image building are extracted from the analysis. In different industries in the future, companies can use these elements to shape their brand image, and then enhance consumer loyalty to the brand by linking different stages of consumer decision-making.
Analysis of Marx's View of Rational Freedom in the Period of Rheinische Zeitung
Authors: Jin Xinyue
Published: December 2024

The period of Rheinische Zeitung is a critical period in which Marx's early thought has undergone important changes. During this period, Marx focused on the social reality, starting from the Prussian press, legislative injustice and parliamentary hierarchy. It is expressed in the political articles during the period of Rheinische Zeitung from three aspects: the freedom of press, the freedom of law and the freedom of state protection. His view of reason and freedom. A systematic understanding of Marx's view of rational freedom in the period of Rheinische Zeitung, It is not only helpful for us to grasp Marx's early people's rational thought and world outlook at the theoretical level. It is also of great practical significance for us to enhance the mainstream ideology, improve the socialist legal system and democratic construction.