bluuebunny/crossref_metadata_2025 huggingface dataset:
From Print Media to Electronic Media to New Media: The Impact of Media Transformation on Brand Communication
Authors: Song Yuhan
Published: February 2025

The continuous evolution of mediafrom print to electronic and now to new mediahas significantly influenced how brands transmit information and interact with consumers. To achieve better communication outcomes, brands have actively adjusted their communication strategies in response to these media changes. This study explores the evolution of brand communication strategy in three stages (print communication era, mass media era and new media era). Furthermore, it delves into the underlying motivations, implications, and emerging trends associated with these changes. In the print media era, brand communication mainly depended on paper ads and printed materials, reaching a limited audience slowly. The mass media era saw broader reach, faster dissemination, and enhanced brand image shaping through TV and radio. The new media era, characterized by social media and digital platforms, has made brand communication more interactive and personalized, with UGC and real-time big data deeply influencing strategy formulation and execution. Media change has a profound impact on the media selection, content and mode of brand communication. Media fusion and integrated marketing will become critical strategies for brand communication in the future.
Research on the Interactive Relationship Between the Development History of Education and Social Development in Modern China and the United States
Authors: Zhang Sensen
Published: February 2025

The purpose of this article is to examine how social development and educational advancement interact in contemporary China and the US. It demonstrates the critical role that education plays in advancing social progress and how societal shifts impact the creation and application of educational policies through a thorough examination of historical data and current research findings. As the cornerstone of social development, education's transformation is often closely related to the socio-economic situation, cultural needs, and political background. In addition, this article also discusses the impact of educational cooperation and competition on the socio-economic development of the two countries in the context of globalization. With the opening up of the global education market, exchanges and cooperation between China and the United States in education concepts, curriculum design, and teacher training have become increasingly frequent. This not only promotes the development of education between the two countries but also provides new opportunities for bilateral economic cooperation. However, competition in the field of education has also prompted both countries to constantly reflect on and optimize their respective education systems to maintain competitiveness in the context of globalization.
The Rise of Digital Currencies: Challenges for Commercial Banks and New Opportunities for Financial Stability
Authors: Li Qingyang
Published: February 2025

In the context of the digital transformation of the global economy, digital currency, as a product of financial technology innovation, is gradually changing the traditional financial ecology, especially posing new challenges and opportunities to the operation mode and financial stability of commercial banks. This study systematically comprehends the current status of domestic and international research on the impact of digital currencies on commercial banks by means of a literature review and adopts the case study method and the case analysis method, and clarifies the specific points of influence of the development of digital currencies on the business structure of commercial banks. It reveals the dual influence of digital currency on the business structure and financial stability of commercial banks, and moreover puts forward targeted coping strategies, which are of great theoretical and practical significance for commercial banks to grasp the opportunities and cope with the challenges of digital currency development.
The Relationship Between Leadership and Employee Performance
Authors: Cheng Enbo
Published: February 2025

This article delves into leadership from multiple perspectives, emphasizing its crucial role in shaping the dynamics and outcomes within teams and organizations. It divides the abilities that can have an impact on leadership into explicit and implicit abilities that are easier to quantify and observe, and implicit abilities. The latter, although difficult to define and measure, is considered a key factor that can catalyze social change and promote consistency with collective goals. This exploration extends to the study of the subtle role between leadership and the personal charisma and effectiveness of leaders, emphasizing how these intrinsic characteristics significantly affect team morale and productivity. In addition, this article also carefully studied the impact of various leadership styles on employee performance, revealing that certain methods may be more in line with specific organizational cultures and goals. Research shows that there is a strong correlation between effective leadership and improving employee performance. The article emphasizes that the influence of leadership may vary in different enterprises, especially those with different structures, indicating that the context in which leadership is exercised plays a key role in determining its impact. This study not only emphasizes the importance of leadership, but also provides insights into how leaders can adjust their methods to optimize team and organizational success.
Este Lauder's Marketing Strategy for Its Beauty Products in the Chinese Market
Authors: Dong Shize
Published: February 2025

The beauty and cosmetics industry is growing rapidly, with China emerging as one of the most important markets due to rising consumer demand and digital commerce. This article examines Este Lauder Companies' strategic adjustments to the Chinese market, focusing on the three marketing strategies of localization, digital marketing, and consumer engagement. Using secondary data from industry reports and academic studies, the study analyzes how Este Lauder Companies has adapted its products to Chinese cultural preferences, such as products with a focus on skincare and holiday-themed packaging. The company's digital strategy, including collaborations with influencers and participation in e-commerce events such as Singles' Day, has increased brand awareness and consumer trust. In addition, personalized interactions through loyalty programs and virtual consultations have helped build long-term customer relationships. However, the brand faces challenges from domestic competitors and changing consumer expectations for sustainability. This study provides insights into how global luxury brands can balance localization with brand consistency to succeed in competitive and culturally diverse markets.
The Role of Education Reform in the Great Economic Development of Vietnam
Authors: Chen Jiayang , Zhang Chenhe
Published: February 2025

Vietnam established an effective education reform in order to improve the economic circumstance and help the country follow the globalization trend. This paper explains that education reform can boost the development of economy in a wide range which can be expressed by increasing labour quality and productivity, long-term economic prosperity, etc. Education also plays an important role in government spending which can lead to the increase in aggregate demand. This paper finds that the expenditure in education has a positive relationship to the economic growth of Vietnam. The paper draws on these findings to argue that the government of Vietnam are supposed to keep injecting funds into the Science, Technology, Engineering and Mathematics (STEM) education. Furthermore, the government has the duty to strengthen partnerships between educational institutions and industries and enhance access to education. These alternative policies can be beneficial to Vietnam in solving the economic problems, so this paper suggests Vietnam to keep investing in education, aiming to further stimulate economic development.
ESG Performance and Corporate Competitive Advantage
Authors: Wang Binli
Published: February 2025

Under increasingly intense corporate competition and market pressures, a company must establish competitive advantages to survive and thrive. With the growing global emphasis on environmental protection and social responsibility, Environmental, Social, and Governance (ESG) performance has become a critical factor in building corporate competitive advantage. This paper empirically analyzes the impact of ESG performance on corporate competitive advantage using data from A-share listed companies between 2009 and 2023. The study reveals that ESG performance positively influences corporate sales growth rate and profit margin to a certain extent. Subcategory regression results show that while environmental factors fail to significantly affect sales growth rate, overall ESG performance is positively correlated with both sales growth rate and profit margin, thus facilitating the construction of corporate competitive advantages. Based on these findings, the article recommends that companies enhance their competitive advantages by controlling environmental costs, leveraging policy factors to improve their social image, and adhering to information disclosure practices.
Research on the Influencing Factors of Hotel Booking Cancellation and Coping Strategies
Authors: Jing Zhenghan
Published: February 2025

With the rapid advancement of the hotel industry, studies on boosting operational efficiency have largely focused on employee productivity and human-centric policies, yet there is a noticeable lack of strategies aimed at enhancing room occupancy rates. This paper address this gap by examining factors influencing hotel reservation cancellations and proposing effective mitigation strategies. Utilizing a decision tree methodology, the research identifies key elements that contribute to cancellations. The significance of this study lies in its contribution to optimizing room occupancy within hotel management. Practical strategies, such as lowering booking security deposits, are suggested to decrease cancellation rates. These insights enhance not only operational efficiency and resource utilization but also offer actionable advice for improving guest satisfaction. By embracing data-driven decision-making, the study promotes modernized management practices and supports sustainable growth in hospitality. Three aspects for improvement are highlighted: internal operations, customer-related factors, and external influences. Recommendations include reducing security deposits at booking to lower cancellations and optimize occupancy.
Regional Integration and Enterprise New Quality Productive Forces
Authors: Shao Qunyi
Published: February 2025

In the context of the domestic macrocycle, regional integration plays a pivotal role in reducing regional barriers, promoting the flow of capital and human resources, and building a unified national market. This study, based on data from Chinese listed firms (20112022) and using the entropy method to construct new productivity indicators, examines the impact and mechanisms of regional integration on firms' new quality productivity. The findings reveal that regional integration significantly enhances firms' new quality productivity, with structural heterogeneity, and this conclusion is robust across various tests. Mechanism analysis identifies three pathways: (1) fostering industrial upgrading and emerging industries; (2) enabling the cross-regional flow of high-quality human capital; (3) attracting foreign capital to boost innovation and investment. Additionally, the study underscores the importance of digital governance, as the digital economy amplifies the positive effects of regional integration on productivity. These insights provide strategic guidance for advancing high-quality enterprise development and promoting regional integration within the domestic macrocycle.
Legal Boundaries and Freedom of Speech in Trademark Parody: Jack Daniel's v. VIP Products, LLC
Authors: Bian Changyu
Published: February 2025

In the context of evolving trade mark law, the boundary between trade mark parody and creative freedom has become a critical but under-explored area. This paper examines the legal case of Jack Daniels v. VIP Products LLC, thoughtfully assessing the legal parameters surrounding trademark parody and the equilibrium between creative expression and brand safeguarding. It explores the circumstances that have led to the emergence of trademark parody, emphasizing the constraints of trademarks as a means of expression within the realm of parody. This study focuses on clarifying the legal boundaries of trade mark parody and the need for freedom of expression. The paper adopts a case study approach and provides an in-depth analysis of the case of Jack Daniels v. VIP Products, LLC. It advocates for an adaptable legal framework that honors the sanctity of trademarks while also valuing the artistic liberty of creators and commentators. The paper argues in favour of more robust legal standards to accommodate the evolving nature of slapstick parody in the digital age, ensuring that the essence of creativity is preserved while protecting trademarks from dilution and infringement.
Sustainability Affects the Way Ireland Attracts Multinational Corporations and Foreign Direct Investment
Authors: Ma Yixin
Published: February 2025

This paper explores how sustainability impacts Ireland's ability to futher attract multinational corporations (MNCs) and foreign direct investment (FDI), focusing on academic research, reports, and the Industrial Development Agencys (IDA) 2021-2024 strategy. Historically, Irelands FDI strategy has relied heavily on low corporate tax rates, attracting global giants such as Apple, Google, and Pfizer. However, amid global tax reforms, including the OECDs 15% minimum corporate tax, and rising Environmental, Social, and Governance (ESG) standards, Ireland is undergoing a strategic shift. This study examines how policies like decarbonization, renewable energy investments, and circular economy initiatives position Ireland as a leader in green technology. Additionally, it analyzes global trends and Irelands alignment with the UNs Sustainable Development Goals (SDGs) to meet evolving international demands for sustainability. By adapting its FDI strategy to incorporate these significant changes, Ireland ensures its continued competitiveness as a destination for investment while fostering long-term economic growth and sustainability.
The Impact of JD.coms Business Model Innovation on Corporate Performance in the Context of ESG
Authors: Wan Haoyu
Published: February 2025

This study aims to explore the impact of ESG factors on the overall development of JD.com in depth by analyzing the annual report and ESG report released by JD.com. The author studied JD.com's annual and ESG reports of specific years in detail, extracted data and information about ESG indicators (such as energy conservation and emission reduction initiatives in environmental aspects, employee welfare and community relations in social aspects, etc.), and made a comprehensive analysis. In terms of environment, this paper found that JD.com not only built energy-saving and environmentally friendly logistics parks, but also continuously optimized the structure of diversified employees, and continued to increase employees' salaries. After the implementation of ESG, JD.com's profitability has been greatly improved, leading the industry, winning many awards at home and abroad, and being recognized by investors. To sum up, ESG factors play a crucial role in the overall development of JD.com, which has a broad and positive impact on many aspects of its cost control, brand building, talent management, and financial performance.
Evaluation on the Pension System Reforms in China
Authors: Peng Zirui
Published: February 2025

The pension system reforms in China since 2014 have aimed to address significant structural challenges, focusing on the feasibility, sustainability, and equity of the system. This paper evaluates these reforms, particularly their impact on three main pension tracks: public employees, enterprise employees, and rural residents, represented by track A, B, and C, respectively. Despite merging certain pension schemes and introducing a universal basic pension, disparities persist, particularly for rural populations, who remain underserved with low replacement ratios. The analysis reveals systemic inequalities, financial imbalances, and unsustainable funding trajectories exacerbated by China's aging population and declining fertility rates. Drawing lessons from Japan and other nations, the paper proposes policy recommendations, including raising the pension eligibility age, rebalancing pension benefits, and enhancing individual pension accounts through tax incentives and improved financial literacy. These reforms aim to mitigate existing disparities, promote fiscal sustainability, and ensure equitable retirement outcomes, emphasizing the need for structural adjustments to achieve long-term effectiveness in China's pension system.
The Impact of Anchoring Effect on Financial Investment Decisions and Coping Strategies
Authors: Zhong Zhu
Published: February 2025

The development of behavioral finance has resulted in a heightened emphasis on the impact of psychological elements on investment decision-making, which has emerged as a key domain of academic inquiry. In particular, the anchoring effect is widely used in consumer behavior as a common cognitive bias. However, its application and research in the financial market remain insufficient, especially in terms of the underlying mechanism of action and optimization strategies in different market environments. Therefore, this paper aims to explore the impact of the anchoring effect on investors decision-making processes with regard to stock valuation, portfolio selection, and trading strategies, and analyze the potential for adjusting this cognitive bias in order to improve decision-making quality and investment returns. Through a combination of literature review and case study, we explore the performance of the anchoring effect in different investment decisions and its mechanism of action, and propose strategies to deal with it. The results show that the anchoring effect significantly affects stock valuation, portfolio decisions and trading strategies. Investors often rely excessively on initial information, such as historical stock prices or market highs, leading to erroneous investment judgments. And this bias is particularly pronounced during times of high market volatility, and may lead to missed market opportunities or irrational decisions, which further affects investment returns.
Research and Examples on the Application of Financial Derivatives in Risk Avoidance
Authors: Chien Weichung
Published: February 2025

The fragility of the global financial system, exposed during the 2008 financial crisis, highlighted the challenges posed by the complexity and opacity of the derivatives market. This research examines the application of financial derivatives in risk management, focusing on their role in mitigating risks through the case of JPMorgan Chase during the crisis. The paper focuses on the types and functions of financial derivatives, especially the use of credit default swaps (CDS) and interest rate swaps (IRS) and their risk management applications in financial institutions. Data sources include JPMorgan Chase's public annual report, financial report and related news reports. The results show that JPMorgan Chase has reduced some subprime risk exposure and successfully avoided potential losses of about US$5 billion through the effective use of financial derivatives. However, the use of derivatives also exposes problems such as market liquidity and counterparty risk, reminding financial institutions to carefully manage related risks when using derivatives. In conclusion, while derivatives can be powerful risk management tools, their over-reliance may introduce new systemic risks.
Research on Factors of Influencing Consumer Behavior Patterns in the Food Service Industry
Authors: Xu Shu
Published: February 2025

This article provides a comprehensive review of the literature on consumer behavior in the food and beverage industry, with the aim of summarizing and analyzing the factors that influence consumer behavior patterns and providing certain improvement measures for food and beverage industry enterprises. The food and beverage industry is an important part of the economy, so its consumer behavior patterns have a wide-ranging impact on social and economic development. This review mainly includes the factors that influence consumer behavior and their operating modes. Firstly, this paper explores the psychological motives of consumers to a certain extent, mainly divided into brand identification and demand, emphasizing the important roles of brand identification and consumer demand. Secondly, this paper analyzes the factors that influence consumer behavior, mainly including price-performance ratio, consumption experience, marketing strategies, brand image, and product variety, and explains the operating modes and underlying reasons of each factor. Finally, by summarizing consumer behavior patterns and providing some suggestions for the development of the food and beverage industry, this paper offers a forecast for the industry's development. These suggestions mainly include the creation of a brand image and the emphasis on consumption experience.
Speaking or Keeping Silent? Investigating the Impact of Young Leadership on Voice Behavior
Authors: Ding Junjie
Published: February 2025

In recent years, employee voice behavior has emerged as a prominent topic within the domain of organizational behavior research. There has been a substantial increase in empirical studies examining its antecedents, outcomes, and moderators across various levels of analysis. Nevertheless, the mechanisms through which young leaders facilitate employee voice behavior remain inadequately understood. To address this research gap, the present study explores the role of young leaders in enhancing employee voice behavior through the mediating factors of perceived psychological safety and openness, grounded in established theoretical frameworks. A survey-based questionnaire was administered to a sample of over 160 employees to empirically test the proposed hypotheses. The findings indicate a negative correlation between leader age and both perceived safety and openness, while these mediating factors are positively correlated with employee voice behavior. This study makes two significant contributions to the literature on voice behavior. Firstly, it empirically and theoretically establishes leader age as a critical antecedent influencing subordinates' voice behavior. Secondly, it offers practical insights for the management and enhancement of employee voice behavior.
The Matching of CSR Communication Strategies and CSR Models: A Content Analysis Based on Weibo
Authors: Zhang Hanhan
Published: February 2025

As social media becomes an essential tool for disseminating Corporate Social Responsibility (CSR) initiatives, there is a lack of academic discussion on how to effectively match different CSR models with communication strategies. This paper explores the theoretical foundations and practical applications of such matching on the Weibo platform based on established classifications of CSR models (Cultivating Goodwill, Compensating, and Corrective) and communication strategies (Broadcasting, Reacting, and Engaging). By analyzing CSR-related content published by Chinese companies on Weibo, the study finds that Corrective CSR matches best with engaging strategies, Compensating CSR aligns well with reacting strategies, and Cultivating Goodwill CSR tends to adopt broadcasting strategies. This research not only validates theoretical assumptions regarding CSR communication but also provides practical guidance for companies to optimize their social media communication strategies. Future research could further examine the impact of these matches on public sentiment and behavioral responses.
How Short Video Platforms Influence the Purchasing Habits of Young Consumers: Mechanisms, Challenges, and Emerging Trends
Authors: Li Du
Published: February 2025

This paper explores the transformative impact of short video platforms on young consumers purchasing habits. By integrating theories of consumer behavior, such as the AIDA model, and examining short video marketing models, this study reveals the mechanisms by which these platforms capture attention, stimulate interest, and drive purchase decisions. Through personalized content recommendations and the roles of Key Opinion Leaders (KOLs) and Key Opinion Consumers (KOCs), short videos leverage social trust and emotional connections to influence consumer behavior. Case studies of successful and unsuccessful campaigns further highlight the factors contributing to effective short video marketing, such as creative content design, precise targeting, and interactive user experiences. The paper also identifies emerging trends, including technological innovations like augmented reality and the increasing digitization of consumer behaviors. Challenges such as attention fragmentation, information fatigue, and ethical concerns around data privacy are discussed, along with future prospects for more personalized and community-driven strategies. This research provides practical insights for brands aiming to optimize their short video marketing strategies, offering a comprehensive understanding of this rapidly evolving field.
Research on the Financial Performance and Business Synergies of Overseas Mergers and Acquisitions by Listed Companies: A Case Study of Midea Group's Acquisition of KUKA AG
Authors: Guo Jingyi
Published: February 2025

This paper analyzes the case of Midea Group's acquisition of KUKA AG, focusing on changes in financial indicators such as revenue growth, profit margin changes, and asset-liability ratios after the acquisition to assess the impact of the acquisition on the company's financial performance. By comparing the financial data before and after the acquisition, it reveals whether the acquisition can bring economic benefits and growth momentum, providing a reference for the overseas merger and acquisition decisions of listed companies. Secondly, through an in-depth study of the business synergies between the two companies, it evaluates whether the acquisition can achieve strategic objectives and enhance comprehensive competitiveness, providing guidance for subsequent operations management. Furthermore, it assesses the impact of the acquisition on the company's internal management and staff teams, offering insights for the integration of management teams and cultural inheritance during the overseas mergers and acquisitions of listed companies. Finally, by summarizing the experiences and revelations of overseas mergers and acquisitions by listed companies through this case, and conducting an in-depth study of the case of Midea Group's acquisition of KUKA AG, it summarizes the successes and failures, explores the development trends and patterns of overseas mergers and acquisitions by listed companies, provides experience and management suggestions for other enterprises in making similar merger and acquisition decisions, and promotes the implementation and development of the internationalization strategies of listed companies.
Approaches to Supply Chain Logistics Cost Optimization
Authors: Dai Anning
Published: February 2025

With the advancement of global economic integration, supply chain management, as one of the key factors for enterprises to gain competitive advantages, has received more and more attention from both academic and practical circles. Logistics, as one of the core links in the supply chain, directly affects the operation cost and service quality of enterprises. Logistics cost is not only an important part of the enterprise cost structure but also a factor that cannot be ignored in the process of improving the overall efficiency and competitiveness of enterprises. Therefore, how to optimize supply chain logistics costs has become a key issue in modern supply chain management. In recent years, many scholars have carried out a lot of research on supply chain logistics cost optimization. The research covers a variety of aspects from transportation cost optimization, inventory management, and transportation path optimization to intelligent logistics management based on information technology. The purpose of this paper is to review the research progress in the field of supply chain logistics cost optimization in recent years, analyze the mainstream viewpoints, methods and their applications of existing research, and discuss the future research direction.
Coordinated Development of Supply Chain Management and Urban Transportation Planning
Authors: Yao Jinyan
Published: February 2025

In the era of economic globalization, the harmonious integration of regional supply chain management and urban traffic planning is of paramount significance. This research meticulously dissects the intricate interplay between these two domains, with a particular emphasis on the detrimental impact of traffic congestion on the efficiency of supply chains, the strain that supplies chain expansion places on transportation infrastructures, and the conspicuous absence of effective information-sharing mechanisms. The study delves into a spectrum of strategic approaches, including integrated planning, traffic optimization, reengineering of supply chain processes, leveraging information sharing and technological advancements, as well as policy guidance and collaborative governance. These strategies collectively form a robust theoretical framework aimed at bolstering regional competitiveness and fostering sustainable development. Moreover, the research underscores the imperative need for future endeavors to concentrate on the integration of emerging technologies and the facilitation of cross-regional cooperation, both of which are pivotal in guiding regional economic prosperity and urban advancement.
Strategies for Minimizing Losses in Reverse Logistics
Authors: Li Yiran
Published: February 2025

With the rapid growth of the e-commerce industry and the significant increase in the return rate, the loss reduction of the whole chain of reverse logistics has become a key issue that enterprises need to solve. This paper takes Pampers Newborn Project as a case study to discuss the collaborative warehouse model, Stock Keeping Unit (SKU) hierarchical management, and the practical strategy of forward and reverse logistics integration. The project realized the efficient operation of loss reduction along the whole chain by establishing the end-to-end supply chain collaboration capability. It was found that through short-chain logistics design, resource sharing, and intelligent management, the efficiency of returns processing can be significantly improved, resource waste can be reduced, and inventory and transportation costs can be lowered. This paper also provides a comprehensive overview of the trade-offs and challenges of the model between efficiency and flexibility and proposes the optimization direction of intelligent prediction and digital technology. Theoretical and practical support is provided for building an efficient reverse logistics system. Through these strategies, companies can manage reverse logistics more effectively, improve customer satisfaction, reduce costs, and achieve sustainable development.
Data processing method of silicon semiconductor vertex chamber based on impact point coordinate
Authors: Hong Donghao , Zhen Jingtong , Zhou Yuxuan , Qiu Zifeng
Published: February 2025

This paper presents a comprehensive study on the reconstruction of vertex positions and particle tracks using heavy ion collision data from the Large Hadron Collider (LHC). Nonlinear particle trajectories, background noise, and scattering effects complicate accurate vertex prediction and trajectory reconstruction in real particle detectors. The solution proposed in this paper is integrating geometric methods with the DBSCAN density clustering algorithm to overcome these issues. This method effectively improves the precision of vertex finding and particle track reconstruction. In the meantime, a geometrical technique and probabilistic quantization are employed to predict the motion radius of the particle more accurately. This framework has been independently confirmed in an analysis of >10,000 collision points, which proves the frameworks robustness. Compared with the benchmark method, the framework only relies on the coordinates of the hit point recorded by the detector, which not only improves the universality of the algorithm application but also reduces the requirements on the equipment and the complexity of implementation and effectively improves the precision of vertex and trajectory reconstruction. The results are for the vertexing accuracy (0.005 cm) and average tracking search precision (95.40%) with a radius determination error of 0.5 cm. The proposed method also stands valid when these results are evaluated.
Research on Optimal Layout of Express Delivery Stations in Beijing
Authors: Zou Shiyu
Published: February 2025

Combining DBSCAN clustering algorithm and genetic algorithm, this paper presents a method to optimize the layout of express delivery sites in Beijing. Firstly, DBSCAN algorithm is used to identify high-density areas in large-scale data and extract the preliminary express site location. Genetic algorithms are then used to further optimize the location and number of these sites to minimize total delivery costs. In problem 1, DBSCAN algorithm is used to solve the problem of identifying high-density areas, and the results show that it can effectively identify areas with intensive express demand. In problem 2, a genetic algorithm is used to optimize the preliminary clustering results, and the optimal express site layout scheme is obtained, which significantly reduces the total delivery cost. In the third problem, the Mercator projection formula is combined to convert the projection coordinates to geographical coordinates to ensure the accuracy and practicability of the calculation results. The model in this paper is efficient, adaptable, and practical and has a wide application prospect.
The Effect of Dataset Imbalance on the Performance of Image-to-Cartoon Generative Adversarial Networks
Authors: Wang Yuqi , Cai Zihan , Zhang Qinghong
Published: February 2025

This report investigates the impact of dataset imbalance on AI-powered image-to-anime style transfer, focusing on the AnimeGANv3 model. Despite the common perception of AI as free of human bias, we highlight that machine learning systems inherently reflect societal prejudices through their training data. The anime art style, popular worldwide but limited in its representation of diverse ethnicities and cultures, serves as a case study for this phenomenon. We analysed AnimeGANv3's training datasets and compared its performance on over- and underrepresented image classes using quantitative and qualitative metrics. Results demonstrate that users from minority groups likely experience inferior outcomes due to dataset imbalance. The study emphasises the need for transparent and responsible dataset curation for machine learning systems to ensure ethical AI development and improved model performance across all user groups.
Identifying Key Factors that Influence Diabetes Prediction: A Meta Analysis of Two Datasets and Three Machine Learning Models
Authors: Deng Tianyu , Luo Wenzong , Huang Kecheng
Published: February 2025

Diabetes is a chronic disease which leads to serious complications. To improve the accuracy of diabetes diagnosis and identify the main influencing factors of diabetes, machine learning methods are widely applied in disease identification and in assisting doctors to predict the risk of diabetes. The purpose of this study is to identify the key factors that influence diabetes prediction and to determine which machine learning model provides the best performance. Additionally, this study aims to analyze whether there is a significant relationship between the performance of different machine learning models and across two different datasets. This study uses diabetes prediction datasets from two different sources the Diabetes Prediction dataset and diabetes health indicators datasets created by CDC. Three different machine learning algorithms (Logistic Regression, Random Forest, XGBoost) are compared. This study extracts the main characteristic factors of diabetes prediction through meta-analysis and determines the machine learning method that provides the best performance. Accuracy, F1 score and AUC of each model are used to compare performance. The results indicate that XGBoost has the best predictive performance, with an accuracy of 96.85% and an F1 score of 0.98. This study also determined which factors are important for predicting diabetes and determined these to be age, BMI, hypertension, and heart disease. Using only the above key factors, predictive models can approach or exceed 95% of the full models performance. Additionally, the Friedman test results showed that there is no significant association between the predictive performance of machine learning models and the choice of dataset in the meta-analysis.
Adaptive Routing Algorithms of Network-on-Chip: A Literature Review
Authors: Sun Yukun , Qian Xueer , Qu Xintong
Published: February 2025

To solve the challenges in the field of integrated circuits (IC) or system-on-chip (SoC) design, network-on-chip (NoC) has been recognized as a core concept. A routing algorithm is one of the key research among all the aspects NoC relates. Therefore, finding an optimal routing algorithm can help enhance the networks performance, reduce latency, increase scalability, decrease power consumption, limit expenditure, and so on. Due to its importance, we delve deeper into the area of routing algorithms for NoC designs. In this paper, we will review and summarize three mesh-based adaptive routing algorithms used for NoC, and provide a simple comparison and evaluation between these algorithms. Specifically, Neighboron-path (NoP) is used as the fundamental algorithm in our paper. Then the two advanced routing algorithms, regional ant colony optimization-based cascaded adaptive routing (RACO-CAR) and destination-based selection strategy (DBSS), will be analyzed and compared with NoP.
GPThelper: A Prompt That You Can Discover LLMs Full Potential
Authors: Han Peixin
Published: February 2025

It is widely acknowledged that LLMs(Large Language Models)assist us in our daily lives and it both save our times and energy,but it still fails in some specific area like DSL(Domain Specific Language). In response to this, the GPThelper was invented, which includes basic knowledge of the language, concepts, and commands used by the language, as well as tips for improvement to correct mistakes.With the Brainf language, issues were first identified in the program calculator regarding the location of the pointer, and prompts were improved to correct this. In the second experiment, errors occurred during the final section
where parameters were to be added together, and these were subsequently corrected.In the evaluation section, various LLMs, including Kimi and Doubao, were tested using the GPThelper to handle tasks involving DSLs, and the results were excellent.It was found that this model works well with most LLMs, although there are still specific occasions where it fails.
Advancing Principal Component Analysis: Challenges and Innovations in Big Data Analysis
Authors: Li Huanxue
Published: February 2025

Principal Component Analysis (PCA) is one of the most widely used dimensionality reduction methods in data analysis, which is renowned for its ability to handle the underlying structure of datasets. However, in the era of big data, characterized by high-dimensional, large-scale, noisy, and dynamic datasets, traditional PCA faces significant limitations. This paper reviews the challenges faced by PCA in big data environments and explores key extensions developed to enhance its applicability. Beginning with an overview of PCAs mathematical principles, the paper identifies its inefficiency in dealing with massive datasets, data noise, and difficulties when applied to real-time environments. To solve these problems, various extensions of PCA have been created, including Incremental PCA, Sparse PCA, Kernel PCA, and Robust PCA. This survey further discusses practical applications of PCA in big data domains, including biological analysis, financial analysis, and image processing. Besides, the survey also examines the future directions of PCA research, such as combining PCA with advanced machine learning models, utilizing quantum computing to enhance efficiency, and ensuring privacy in PCA applications. This review aims to deepen the understanding of PCA in big data analysis, address the challenges, and reveal innovative solutions to enhance its efficiency and capability in handling high-dimensional and complex datasets for big data.
新质生产力赋能乡村全面振兴：内在机理、现实挑战与实践路径
Authors: 韦 钧源
Published: February 2025

乡村全面振兴是实现中国式现代化的必然要求。立足于新发展阶段，乡村全面振兴的一个重要特征表现为“数字+乡村”的深度融合发展。而新质生产力作为符合新发展理念的先进生产力质态，以新技术作为核心载体，内涵科技创新、绿色发展、共同富裕等多重意蕴，是推动农业强、农村美、农民富的强力支撑，有助于乡村进一步全面深化改革。但新质生产力赋能乡村全面振兴的发展过程也面临诸多挑战，即新质生产力与数字农业融合发展不顺畅、赋能农村绿色生态发展成效缓慢以及助力产业发展动力不足。因而实现新质生产力更好赋能乡村全面振兴，要持续深化体制机制改革、持续加大城乡二元深度融合和健全人才培养联动机制，为全面建设社会主义现代化强国提供支撑。
Rancang bangun mesin screw extruder pencetak briket
Authors: Saparin Saparin , Nurdiansyah Rahmat , Setiawan Yudi , Wijianti Eka Sari
Published: February 2025

Mesin pencetak briket adalah alat yang dirancang untuk memudahkan proses pencetakan briket. Dalam proses pencetakan briket mengunakan banyak sistem proses pencetakan dari dengan manual, hidrolik dan molding. Kebanyakan dari sistem tersebut masih mempunyai banyak kekurangan baik dari segi produktivitas, tenaga operator dan waktu yang lama. Pada penelitian rancang bangun sebuah mesin screw extruder yang dirancang khusus untuk mencetak briket, Pemilihan sistem screw extruder pada mesin pencetak briket karena sistem ini karena paling efesien untuk mengatasi masalah masalah pada sistem lainnya. Mesin ini memiliki dimensi panjang 100 cm, lebar 46 cm dan tinggi 43 cm dengan kepala corong pencetak 3 cm x 3 cm dan panjang 10 cm berbentuk persegi panjang dengan Prinsip kerja mesin adonan dimasukkan ke dalam hopper, lalu dipadatkan oleh ulir yang mendorongnya ke dalam cetakan. Mesin ini diujicobakan dalam tiga pengujian mencetak dengan massa adonan berbeda untuk mengevaluasi kinerjanya dalam memproduksi briket dengan bahan uji beban di 500 gram, 1000 gram, dan 1500 gram. Didapatkan dalam dari 3 kali pengujian briket berhasil tercetak 12 batang briket tercetak sempurna sesuai ukuran 3 cm x 3 cm dengan panjang 10 cm. Dengan adonan tertinggal dan tidak sesuai ukuran cetaknya yaitu 346,6 gram. rata rata waktu 3,34 detik. Dan hasil penelitian dapat disimpulkan bahwa mesin screw extruder pencetak briket dapat berfungsi dengan baik.
Pengaruh Pelaksanaan Teaching Factory terhadap Motivasi Kerja dan Kesiapan Kerja Peserta Didik Tata Kecantikan Kulit dan Rambut di SMK
Authors: Nuryakin Berlian , Maspiyah Maspiyah , Suhartini Ratna
Published: February 2025

Penelitian ini bertujuan untuk menganalisis pengaruh pelaksanaan Teaching Factory terhadap motivasi kerja dan kesiapan kerja peserta didik pada program keahlian Tata Kecantikan Kulit dan Rambut di SMK. Teaching Factory merupakan model pembelajaran yang mengintegrasikan teori dan praktik secara langsung, sehingga memberikan pengalaman nyata kepada peserta didik dalam menghadapi dunia kerja. Dalam penelitian ini, motivasi kerja berperan sebagai variabel yang dapat memperkuat hubungan antara Teaching Factory dan kesiapan kerja. Hasil penelitian menunjukkan bahwa pelaksanaan Teaching Factory memiliki pengaruh positif dan signifikan terhadap motivasi kerja dan kesiapan kerja peserta didik. Peserta didik yang mengikuti program ini menunjukkan tingkat kesiapan kerja yang lebih tinggi, yang didukung oleh peningkatan motivasi kerja. Dengan demikian, penguatan Teaching Factory dalam pembelajaran vokasi dapat menjadi strategi efektif untuk meningkatkan daya saing lulusan di dunia kerja.
Determinants of Share Price of Dhaka Stock Exchange
Authors: Sani Jumman , Kamal Md. Mostafa , Biswas Tapan Kumar , Shahid Tanjina , Tabassum Farah Tiyaba , Hossain Fouzia
Published: February 2025

This study investigates at the main factors influencing share prices on the Dhaka Stock Exchange (DSE), one of the two main stock exchanges in Bangladesh. Stock markets provide as venues for businesses to generate cash through the issuance of securities, which investors’ then trade. Primary measures of investor sentiment and stock prices are extremely volatile and impacted by a number of qualitative (goodwill, industry circumstances, and market hype) and quantitative (earnings per share, ROA, and net asset value) variables. The present research inspects 206 firms that are listed on the DSE and investigates the influence of distinct quantitative elements on share prices, including liquidity, EPS, ROA, NAV, business size, and cash dividend rate (CDR). The results indicate that these variables explain 56% of the volatility in share price. Notably, share prices are negatively impacted by ROA and liquidity, while CDR has the most favorable impact. Additionally, the analysis shows that there is considerable multi-co linearity among the variables, indicating that removing variables with higher p-values enhances the accuracy of the model. The outcomes of the research provide investors with insightful information that helps them make better decisions by demonstrating how important financial parameters impact share prices. Furthermore, the results lay the groundwork for future studies that examine other variables affecting DSE share price swings. The study emphasizes the difficulty of anticipating share prices because of both erratic market dynamics and controlled financial considerations.
Economic Violence and Its Impact on the Socio-Economic Welfare of Women in Kanamkemer Ward, Kenya
Authors: Omondi Susan Dorcus Anyango , Wamalwa Fred K. , Chepsiror Esther
Published: February 2025

Economic violence is an epidemic that exists globally. Economic violence silently kills the victim, tortures, and maims, hence affecting one socially, physically, economically, and psychologically. This study investigated the effect of economic violence on the socioeconomic welfare of women in Kanamkemer Ward, Turkana County, Kenya. The study was based on a descriptive cross-sectional survey of women who had experienced economic violence perpetrated on them by their intimate partners. A sample of 99 women who had met the inclusion criteria were recruited to participate in the study. Simple random sampling technique was used to select the study participants who were interviewed to collect data. Data analysis was carried out using statistical package for social sciences version 28. Univariate, bivariate and multivariate analysis were carried out to determine frequencies, establish association and quantify the nature of association. It was observed that majority of the respondents had moderate and low socio-economic welfare, n=41 (42.3%) and n=31 (32.0%) respectively. About 46 (47.4%) of the participants indicated that their partners sometimes withheld economic support when they had misunderstanding, and 30 (30.9%) always withheld the support when there is misunderstanding. Participants who were never allowed by their partners to make major decision on income or expenditure had an increased likelihood of low socio-economic welfare (95% CI: 4.2 (0.4-13.0, P = 0.00)). It was evident that economic control and the withholding of financial support by partners were detrimental to the financial autonomy and overall economic stability of women.