bluuebunny/crossref_metadata_2025 huggingface dataset:
Confiabilidade estrutural: métodos, modelagem e simulação de Monte Carlo
Authors: Quadros Peterson Araújo , Vieira Raphael Nonato Cabana
Published: December 2024

Este artigo apresenta uma revisão abrangente sobre confiabilidade estrutural, explorando métodos de análise quantitativa, modelagem matemática e técnicas de simulação. A confiabilidade estrutural é essencial para garantir que a resistência das estruturas exceda as demandas de carga ao longo de sua vida útil. Devido às incertezas inerentes tanto na resistência quanto nas cargas, a avaliação da confiabilidade é feita em termos probabilísticos, utilizando diferentes métodos em níveis variados. Entre esses, destacam-se: (i) os métodos das tensões admissíveis, (ii) os métodos do tipo LRFD (Load and Resistance Factor Design), (iii) os métodos do índice de confiabilidade, (iv) os métodos que empregam a probabilidade de falha (Simulação de Monte Carlo); (v) os métodos que utilizam de otimização e elementos de confiabilidade. A simulação de Monte-Carlo (SMC) é utilizada como uma ferramenta robusta para prever o desempenho estrutural e calcular probabilidades de falha, através da geração de amostras numéricas baseadas em distribuições de probabilidade prescritas. O artigo discute a aplicação do método de confiabilidade nível 3 (três) no qual a SMC é uma possibilidade. Destaca a calibração de normas e a seleção de índices de confiabilidade objetivo, tanto para novas estruturas quanto para estruturas existentes. A utilização eficaz desses métodos e simulações contribui para a otimização do projeto e a segurança estrutural, refletindo a importância da integração de conceitos probabilísticos na engenharia de estruturas.
The Value Implication of Digitalization to Empower the Modernization of Ideological and Political Courses in Colleges and Universities
Authors: Chen Maohua
Published: December 2024

In the new era and new journey, the construction of ideological and political courses is facing new situations and new tasks, and there must be new atmosphere and new achievements. Digital empowerment of the modernization of ideological and political courses in colleges and universities is the need to promote the party's innovative theories to be deeply rooted in the hearts of the people, the need to better serve the construction of a strong country in education, and the need to promote the development of Chinese-style modernization. From the perspective of Marxist philosophy, this paper examines the value implication of digitally empowering the modernization of ideological and political courses in colleges and universities. Second, from special to general: the digitalization of ideological and political courses promotes the modernization of education; The third is from the object to the subject: the modernization of ideological and political courses promotes the modernization of teachers and students. Explain its value implication from three dimensions, enrich the connotation of the times of ideological and political courses, continuously improve the pertinence and attractiveness of ideological and political courses, and strive to cultivate more newcomers of the era who can reassure the party, love and dedicate themselves, and take on the important task of national rejuvenation.
Analysis of Investment Strategy and Practice in the Construction of China's Belt and Road Initiative
Authors: Wang Qianwei
Published: December 2024

The current study offers a thorough study of investment strategies and practices under the BRI (Belt and Road Initiative) to promote international economic cooperation and development and China announced BRI in 2013. The study delves into the financial strategies employed by China, such as governmental loans, commercial financing, and the creation of specialized funds to support infrastructure projects across participating countries. It also examines how China has tight ties with the Asian Infrastructure Investment Bank (AIIB) and other global financial institutions, to leverage technical and financial support. Key focus areas include the optimization of investment layouts, innovation in financing models, and the creation of mechanisms for risk management to ensure a guaranteed sustainability of investments for long term. This research emphasizes the importance of balancing long-term strategic goals with short-term economic benefits, particularly when investing in large-scale infrastructure projects that require significant capital and extended timelines for returns. Furthermore, the study investigates the role of sustainable development and the necessity of building cooperative models that foster mutual growth, with the aim of contributing to the shared prosperity of China and its partner nations along the Belt and Road.
Development And Transformation of Moral Education in Japan
Authors: Lin Junli
Published: December 2024

Over the past century, moral education in Japan has undergone significant transformations, particularly in the context of globalization. This essay explores the main components of the three forms of Japanese moral education: specialized moral courses, subject-based moral education, and special activities. It argues that Japanese moral education exemplifies the processes of localization, nationalization, and globalization through three key qualities. First, there is the integration of Eastern and Western philosophical ideas, reflecting a blend of traditional Confucian values with modern Western democratic principles. Second, the promotion of collaboration between families, communities, and schools is emphasized, creating a comprehensive support system for students' moral development. Third, there is the fusion of local characteristics with international perspectives, ensuring that moral education is both culturally relevant and globally aware. These qualities highlight Japan’s dynamic approach to moral education, showing how it has evolved to meet the changing demands of a globalized world while retaining its unique.
Research on the Impact of Financial Sharing on Corporate Performance under the Transformation of Financial Numerical Intelligence The Mediating Effect Based on the Level of Corporate Governance
Authors: Ding Yunqing , Yu Zixuan
Published: December 2024

This paper takes financial sharing-corporate governance level-firm performance as the research framework, based on the data of A-share listed companies from 2005 to 2023.It applies the double-difference bivariate fixed model and mediation effect model to explore the relationship between financial sharing, corporate governance level and firm performance.The paper further analyses the heterogeneity of the nature of equity. The results of the study show that the establishment of financial sharing centre by the company significantly enhances the performance of the company. The effect is more significant in non-state-owned firms compared to state-owned firms. Corporate governance plays a partial mediating role in it.
Business Model Analysis under the Silver Economy - A Case Study of Vishee Medical in China
Authors: Li Chen
Published: December 2024

In recent years, as China transitions into an aging society following Japan and South Korea, interest in leveraging opportunities within what is commonly referred to as the silver economy has grown significantly among various industry stakeholders. Many Chinese enterprises are now at a stage where they are actively exploring potential markets associated with population aging trends, notably within healthcare sectors, which are adapting their strategies towards addressing needs specific to elderly populations, thereby reshaping their current business models accordingly. However, there is still a lack of comprehensive studies that examine how such shifts impact overall corporate frameworks. This paper takes Vishee Medical Company as an example to analyze the existing business model of Vishee Medical and its transformation and innovation under the "silver economy" context. The long-term strategic planning for the "silver economy" has led to a gradual increase in Vishee Medicals sales data. The results also indicate that Vishee Medicals business behavior changes include expanding its own product market, prioritizing research and development of products related to aging, and actively promoting a customer-centric corporate philosophy. Building upon the discourse on the silver economy, this paper aims to investigate potential business opportunities, advances theoretical research within the context of China's silver economy, and offers a solid theoretical foundation and recommendations for the market development of China's silver economy.
Implementation of Bigdata Techniques in Sales Forecasting: Evidence from Retailing and E-commerce
Authors: Zhang Wenhan
Published: December 2024

Sales forecasting is a key part of business operations, providing essential insights for inventory management, financial planning, and strategic decision-making. With the advent of big data, traditional forecasting methods have evolved, leveraging advanced machine learning and different deep learning models to increase accuracy and efficiency. This paper reviews recent research on the use of big data techniques in sales forecasting, focusing on diverse industries such as retail, e-commerce, and automotive. Through an analysis of case studies and research findings, this study emphasizes the effectiveness of machine learning models like XGBoost, Random Forests, and RNNs in improving forecast accuracy in the context of big data. The review also addresses the challenges and limitations of current methodologies, offering insights into future research directions. The significance of this research lies in its comprehensive overview of the state-of-the-art in sales forecasting, providing a valuable resource for researchers and practitioners aiming to optimize business strategies through big data.
Strategic Insights into China's Fan Economy Synergizing Fandom and Commerce
Authors: Jiang Zixin
Published: December 2024

The fan economy mainly obtains economic and social benefits at the economic and spiritual levels. Enterprises use the fan economy effect to accumulate consumer groups, and the establishment of high returns is greater than the spiritual value, which is the foundation of the fan economy. After social msde-area traffic and conducts the four steps of resonance, confirmation, participation, and diffusion, the spiritual value has completed the process of establishment and dissemination. The logic of fan economy realization is that companies and brands will develop products in a targeted manner according to fans' preferences, advertise them, then sell them to Internet celebrities and stars, and finally retain customers with services. The fan economy is mixed. It is no longer just TV stars. There are also fan economies around brand fans, virtual idol fans, social platform fans, etc. Therefore, the fan economy will no longer be a single economic phenomenon but more of a business model.
Game Theory in Tendering: Analyzing Bidder and Tenderer Strategies
Authors: Cai Yuxuan
Published: December 2024

In modern society, bidding and tendering have become an integral part of economic activities and are increasingly attracting public attention. This article innovatively combines game theory with bidding practice. Through extensive collection and analysis of network resources and in-depth research on real cases, it aims to deeply analyze the internal logic of the bidding mechanism and optimize bidding through the perspective of game theory. Tender design to significantly improve resource allocation efficiency and market fairness. Finally, this article emphasizes that game theory can deepen the understanding of bidding dynamics, optimize strategies, highlight the value of information transparency and long-term cooperation, propose policy and mechanism improvement suggestions, and promote a fair and efficient market environment. This article underlines the transformative potential of game theory as a tool for revealing hidden inefficiencies and corruption within bidding processes. By advocating for policies that foster open and transparent tender practices, it seeks to empower stakeholders to make more informed decisions, thereby nurturing a culture of integrity and ethical competition in markets worldwide.
Blockchain Technology Improves the Resilience of Manufacturing Supply Chain An Exploration Based on Grounded Theory
Authors: Zhou Yang
Published: December 2024

In recent years, the manufacturing supply chain has faced significant disruptions due to events such as the COVID-19 pandemic and geopolitical tensions. These events have exposed the vulnerabilities in global supply chains, emphasizing the need for greater resilience. This study explores the role of blockchain technology in enhancing the resilience of manufacturing supply chains through a grounded theory approach. This research conducted semi-structured interviews with experts and practitioners from various manufacturing sectors, including electronics, machinery, and medical devices. The findings reveal that blockchain technology significantly improves supply chain transparency, traceability, data security, inventory management, and risk management. The decentralized and immutable nature of blockchain allows for real-time monitoring and efficient coordination across the supply chain, facilitating rapid recovery and continuous operations during disruptions. Additionally, blockchain enhances collaboration and trust among supply chain partners through transparent and secure information sharing. This research provides valuable insights and practical guidance for manufacturing companies seeking to leverage blockchain technology to strengthen their supply chain resilience. By improving these key areas, blockchain can help companies better navigate the complexities and uncertainties of the global market.
The Negative Impact of Live Streaming Commerce on Consumer Decision Making
Authors: Xiang Zeyue
Published: December 2024

With the development of the Internet, online shopping has become a part of people's daily lives, and new marketing strategies appear. This paper first analyzes the current mainstream online marketing strategies, namely short video, pictures-and-words, and live streaming. Then, this paper focuses on the factors affecting consumer decision-making, typically in live streaming marketing. Further, the paper discusses the negative impacts of live streaming on consumers, such as inducing consumption and concealing important information about the goods, which lead to impulsive spending. One of the main concerns is the current marketing tactics in live streaming which negatively affect the health of the youth, especially the sales related to games during live streaming with a gambling nature. The negative impacts are resulted from the failure of platforms in regulating the content of live streaming, as well as a lack of comprehensive cyber laws. It is recommended that platforms should strengthen the regulation of live streaming, increase the protection of teenagers and improve the quality of live streamers.
The Impact of IoT on Modern Logistics: Challenges and Future Directions
Authors: Jiang Feihang
Published: December 2024

With the rapid development of science and technology, the express delivery industry has gradually made great progress and development. The Internet of Things (IoT) has revolutionized various aspects of technology, particularly in the development of smart cities. This paper, using the method of literature review and case study, explores the architectural foundations, benefits, and challenges of IoT in smart city applications, analyzes current implementations and proposes future research directions to address existing issues, enhancing the efficiency and sustainability of urban environments. The analysis of current implementations reveals that IoT has played a crucial role in enhancing the efficiency and sustainability of urban environments. By improving operational efficiency and strengthening the capacity for sustainable development, IoT has emerged as a pivotal technology in the pursuit of smarter, more livable cities. This research holds significant value for city planners and decision-makers, guiding the transition towards increasingly intelligent, efficient, and sustainable urban environments.
Integration of Smart Elderly Care and Artificial Intelligence: Opportunities, Challenges, and Development Trends
Authors: Zhao Rong
Published: December 2024

As the population ages, traditional elderly care models struggle to meet the growing demand for care. Smart elderly care has emerged as a new approach to address traditional issues. Research shows that smart elderly care can improve the quality of life for the elderly but also faces challenges such as technology and application maturity, data security and privacy protection, and legal and ethical issues. This paper aims to explore the integration of smart elderly care and artificial intelligence, analyzing the opportunities, challenges, and development trends in elderly care services, with the goal of addressing traditional elderly care problems. To this end, the paper proposes solutions including technological innovation, policy and social driving forces, cross-sector collaboration, and international cooperation, and looks ahead to future research directions.
Research on the Impact of Climate Risk on Corporate Stock Price Crash Risk
Authors: Ning Meiji
Published: December 2024

Climate risk represents a significant financial threat for companies. This study uses a sample of Chinese A-share listed firms from 2007 to 2022 to empirically investigate how climate risk affects stock price crash risk and the mechanisms involved. The findings reveal a strong positive correlation between climate risk and the risk of stock price crashes, suggesting that higher climate risk increases the likelihood of stock price crashes. These results hold true across various tests. Analysis of underlying mechanisms indicates that heightened analyst attention and a stronger commitment to green transition can reduce the adverse effects of climate risk on stock price crash risk. Additionally, the study finds that the influence of climate risk on stock price crash risk is more significant in high-carbon industries and among non-state-owned enterprises.
Analysis of the Marketing Strategy of Chinese Otome Game Industry - Taking Love and Deep Space as an Example
Authors: He Shuyi
Published: December 2024

The "She Economy" refers to a rapidly growing market driven by an increasing number of women entering the workforce, achieving economic independence, and rising in both social status and consumption ability, This shift has drawn significant attention from major brands and industries, prompt them to invest and cultivate the female economy by developing products and services tailored to womens needs. With this context, this study examines how social factors influence the marketing strategies of the Chinese otome game industry. Using literature review and focusing on the game "Love and Deep Space" as an example, the research integrates the principles of quasi-social interaction to conduct a specific analysis of marketing strategies. The conclusion shows that "Love and Deep Space", as the first company to blend 3D and ethereal games elements, effectively meets women's emotional needs through its gameplay, media marketing, and brand collaboration, while also embodying values of equality and respect.
Based on HUAWEI 's Mobile Marketing Strategy Research on Its Development Status and Future Research
Authors: Lin Jiadong
Published: December 2024

Since the reform and opening-up on December 18, 1978, China's economy has experienced rapid development. As a key medium, the mobile phone has become increasingly integrated into people's daily lives and workplaces. After intense competition, the Chinese smartphone market in 2024 sees fierce rivalry between domestic and international players. However, the COVID-19 pandemic continues to pose significant challenges to global economic recovery and people's livelihoods. The world is is still grappling with the economic downturn caused by the pandemic. This paper uses Huaweis mobile phones as a case study, applying various marketing theory tools to analyze and evaluate Huaweis current marketing strategy. The paper begins with an introduction to Huaweis mobile business, followed by an analysis of its marketing status and existing challenges from four aspects: product, price, distribution channels, and business environment. It also highlights the difficult macroeconomic conditions faced by the smartphone industry. Finally, we analyze the current situation of Huaweis mobile phone business. Using STP theory, this paper positions Huawei in the mobile phone market and proposes specific strategies and safeguard measures for optimization based on this positioning.
Institutional Environment, Entrepreneurial Confidence, and Corporate Investment Choices
Authors: Mou Yue
Published: December 2024

A lack of confidence is one of the typical issues in Chinas current economic development. Understanding the factors that influence entrepreneurial confidence can help address related challenges in a targeted manner, thereby contributing to economic growth. By reviewing the literature on institutional environment and entrepreneurial confidence, and analyzing classic cases such as United Family Healthcare and Credit Hangzhou, this paper elucidates the relationship between institutional environment, entrepreneurial confidence, and corporate investment choices. The study finds that the credit system and the legal institutional environment play a significant role in influencing entrepreneurial confidence. Specifically, the development of the credit system, strengthening of property rights protection, and optimization of the business environment can enhance entrepreneurial confidence, which in turn affects corporate investment. Looking ahead, the paper suggests promoting the construction of trustworthy and untrustworthy credit systems and establishing a safe and reliable legal society to overcome the issue of insufficient entrepreneurial confidence, thereby fostering investment and healthy economic development.
The Application of CAPM Model in Stocks Investment and Alternatives Models of CAPM
Authors: Qin Ziwei
Published: December 2024

The relationship between systematic risk-i.e., the broad risks involved in investing, and the expected return on assets, especially stocks, is explained by the Capital Asset Pricing Model (CAPM). Investors can use the CAPM approach to determine an expected return(E(Ri)) and compare it to the required return (Ri). It is recommended to invest in stocks where the required return exceeds the expected return. The CAPM is popular among investors due to its simplicity and accuracy. However, it is often criticized for its limitations as a single-factor model, as it only accounts for systematic risk, which is measured by Beta. This paper will discuss its limitations, including the limited assumptions it makes, its inability to be generalized to certain areas, and the fact that it only includes systemic risks. Some theories were then put forth to modify these shortcomings. This paper will also examine alternative models including the Arbitrage Pricing Theory (APT) and the Fama-French Three-Factor Model, which have been suggested as replacements for CAPM.
Pseudo Corporate Social Responsibility Strategies in Natural Asset Companies
Authors: Zhang Holly
Published: December 2024

The recent withdrawal of the New York Stock Exchanges (NYSE) proposal of a new asset class prompted a revisit to the purpose of Corporate Social Responsibility (CSR). The asset class, known as the Natural Asset Company (NAC), exemplifies a stakeholder primacy model that has become popularized by large multinationals working toward a sustainable future. This model has been criticized for serving more optics than actual impact, leading to questions about the purpose of the NAC. Following concerns raised by several attorneys general, the NYSE withdrew its proposal. Among the concerns cited by the attorneys general was the ambiguous language used to explain the NACs business model and the threat of private enterprises owning public land. This paper presents an analysis of the underlying pseudo-CSR articulated by the NAC and its impact on the landscape of CSR. The paper concluded that in order to achieve true CSR, companies themselves should not be upheld to a CSR standard, but rather, the employees themselves through their own decision-making.
Evaluating the Impact of Monetary Policy on Financial Market Stability
Authors: Wei Binge
Published: December 2024

Monetary policy serves as a vital mechanism through which central banks influence economic activity and uphold financial market stability. This paper delves into the intricate impact of monetary policy on financial market stability by exploring a range of theoretical frameworks, empirical evidence, and historical case studies. It examines how different monetary policy toolssuch as interest rate adjustments, quantitative easing, and forward guidanceaffect market stability, including their potential benefits and associated risks. By integrating theoretical insights with practical examples, this paper aims to offer a thorough understanding of the dynamic interplay between monetary policy and financial market stability. The analysis underscores the importance of balancing economic stimulation with market stability to ensure sustained economic health.
The Current Situation and Development of Fintech
Authors: Chi Haochen
Published: December 2024

With the rapid advancement of digital technology, financial technology (FinTech) has emerged as a transformative force in the financial services industry. FinTech not only meets consumer demand for efficient and convenient financial services but also drives innovation and competition in global financial markets. The expanding market size and increasing investment in FinTech highlight its significance in economic development, making it essential to study its current status, trends, and challenges. This study aims to explore the market size, regional development, and obstacles faced by FinTech, focusing on key markets in North America, Europe, and Asia. The research combines a literature review with case analysis. The subjects include global FinTech companies, traditional financial institutions, and regulatory bodies. Data sources comprise industry reports from organizations like Statista and McKinsey, academic literature, and market analysis data. The findings reveal that the global FinTech market exceeds $1.5 trillion and is poised for continued rapid growth. The study also identifies significant regional disparities in development and highlights challenges, including regulatory compliance and data security. Overall, while FinTech plays a crucial role in the global financial system, it must navigate various challenges to ensure sustainable growth.
Research on Price Determination of Skill-Based Knowledge Products
Authors: Liu Hanyang
Published: December 2024

Current research on the pricing of knowledge products often focuses on those as consumer goods, with insufficient attention to skill-based knowledge products, which serve as intermediate goods and do not directly contribute to consumer utility. Within the scope of this study, a specific type of skill-based knowledge serves as a prerequisite for producing related consumer goods. Skill-based knowledge products can be provided by individuals possessing such knowledge, allowing those originally lacking this production skill to acquire it by purchasing the relevant knowledge product, thus enabling a shift in their specialized production. This paper explores the price determination of these skill-based knowledge products within the context of division of labor and general equilibrium, incorporating factors such as consumer preferences, transaction efficiency, time costs of learning, and intermediary fees in knowledge transactions.
Balancing Access and Affordability: An Analysis of the UK's Student Loan Policy and the Implications of Plan 5
Authors: Le Jiayi
Published: December 2024

Student loans play a crucial role in enabling higher education access for students, significantly influencing their academic and financial futures, as the tuition and living cost continues to rise. This paper provides a comprehensive analysis on the UK's student loan policy, tracing its historical development and the challenges it faces. This study demonstrates the UK government's efforts to balance educational accessibility with economic viability, evaluating the impact of the newly introduced Plan 5 student loans in terms of its lower repayment threshold, extended repayment term, and interest rate cap. It finds that while Plan 5 may increase the proportion of loans repaid, potentially easing fiscal pressure, it also disproportionately affects moderate-income earners, who could face higher long-term financial obligations. The paper suggests innovative policy solutions, such as market-linked assistance and service-based repayment options, emphasizing the need for personalized loan terms. It calls for further research to ensure fiscal responsibility and student support, advocating for policies that balance government finances and student needs.
Opportunities and Challenges of Corporate ESG Risk Management: Evidence from Xiaomi
Authors: Gao Rong
Published: December 2024

With the accelerated adoption of ESG principles, ESG risk management is facing severe challenges and unprecedented opportunities, and many companies have initiated the disclosure of ESG information, the development of ESG governance frameworks, and other activities to provide a solid foundation for advancing ESG. Fundamentally, ESG focuses on managing a company's non-monetary risks. Over time, multiple strategies will be integrated into risk management to achieve sustainable growth of the company's operations through ESG risk management. This paper will study the framework and standards of ESG risk management through theoretical research, analyze the opportunities and challenges of ESG risk management in combination with the case of Xiaomi, and provide good experience and reference for more excellent enterprises.
Trends and Dynamics of Economic Growth: Empirical Analysis of India and Singapore
Authors: Zhang Yuqian
Published: December 2024

This paper investigates the multifaceted dynamics of economic growth in India and Singapore over a span of 50 years, utilizing the Solow and Romer models to decompose growth into its core components: total factor productivity (TFP), capital, and labor. Through a detailed growth accounting methodology, we analyze how these elements contribute distinctly to the GDP trajectories of these two contrasting economies. Our analysis reveals that while both labor expansion and capital accumulation play pivotal roles in short-term growth, it is the enhancement of TFP that emerges as the crucial determinant of sustainable economic progress over the long term. In Singapore, a developed economy characterized by its status as one of the Asian Tigers, TFP and labor productivity have been the primary drivers of its more consistent and long-term growth. Conversely, Indias growth has been more influenced by capital accumulation, particularly following economic liberalizations that spurred foreign investment and industrial diversification. The findings underscore the importance of TFP growth in both developing and mature economies, highlighting its significance in policy formulation aimed at stimulating economic development. This study not only charts a historical analysis of growth patterns but also aligns them with theoretical underpinnings that suggest pathways for future economic strategies in similar emerging and developed markets.
Analysis of the Impact of Delayed Retirement on the Labor Market: A Case Study of China
Authors: Chen Xuejing
Published: December 2024

This paper adopts the method of data analysis and literature review. First of all, by consulting published academic papers and government reports, it can be learned from the existing research results and overview. Secondly, relevant data, such as the employment rate of different industries, are collected for analysis. Thirdly, according to the information, this paper will discuss the disadvantage and advantage of this policy. analyzes and discusses the latent influence of the delayed retirement policy on the labor force through table or statistical calculation. Finally, the paper will give some suggestion and how to solve or improve the negative impact on labor market. This paper has certain social significance. Aging population is an important problem facing in China. Delaying retirement is a popular way to deal with this phenomenon. Through analyzing the effect of retirement act on labor market, it can offer more clear reference frame for government, labor and entrepreneur. It can also help them to develop better retirement policies.
Analysis on the Employment Situation and Unemployment Rate in China
Authors: Lian Jiayulu
Published: December 2024

This paper analyzes the significant structural changes in China's labour market, driven by rapid economic development, technological advancements, and the COVID-19 pandemic. It highlights the emerging challenges, including declining labor supply, rising structural unemployment, and the worsening employment situation for college graduates. The analysis reveals the complexity of these issues, exacerbated by global economic uncertainties, industrial restructuring, and demographic shifts. The paper discusses the impact of technological progress on employment, emphasizing the dual effects of innovationenhancing productivity while displacing traditional labor. It also explores the uneven distribution of employment opportunities across regions and industries, leading to significant disparities. The Chinese government's response to these challenges, including macroeconomic stabilization, promotion of new technologies, and improvement in labor market efficiency, is examined. The paper concludes by recommending a comprehensive, multi-level approach involving national policies, local government initiatives, and individual efforts to address the employment challenges in China. This approach is essential for ensuring long-term economic stability and social development in the face of ongoing changes in the labor market.
Explaining the Unemployment and Academic Devaluation in China from the Demand and Supply Perspective
Authors: Wang Luning
Published: December 2024

This study looks at China's increasing college graduate surplus and how it affects employment and academic devaluation. China's increased investment in higher education over the last few decades has led to a sharp rise in the number of graduates, surpassing the expansion of high-tech employment prospects. There is a mismatch in the employment market since there are more graduates than the available positions that require their qualifications. This has led to an increase in college graduates' unemployment. Furthermore, the value of a college degree has decreased due to an excess of degree holders. The study examines how several factors, both macro and micro, impact on the phenomenon. These factors include individual psychological influences such as the drive to get higher credentials for declining returns, labor market conditions, and larger economic trends. This study also explores the policies implemented by the Chinese government with the goal of fulfilling market needs, including encouraging vocational education and entrepreneurship among students, which aim to address the growing concern of academic devaluation.
Large Language Models Meet Automated Program Repair: Innovations, Challenges and Solutions
Authors: Tang Yiting
Published: December 2024

As the field of Automated Program Repair (APR) continues to evolve, traditional Neural Program Repair (NPR) methods, while successful in low-resource computing scenarios, still confront numerous challenges, including the demand for extensive training data, the limited generality of specially designed networks, and a lack of robustness. In recent years, Large Language Models (LLMs) have demonstrated remarkable efficacy in downstream code-related tasks, thanks to their potent comprehension and text generation capabilities, gradually emerging as pivotal tools in automated program repair. Compared to NPR techniques, LLM-based APRs exhibit superior repair performance and enhanced generality, leading to their increasing adoption in APR tasks. Currently, the performance of zero-shot LLM-based APRs has surpassed that of NPR. LLM-based APRs have issues, such as excessive fine-tuning costs, data leakage concerns, and a shortage of domain-specific knowledge. This paper aims to review and summarize the latest advancements in LLM-based APRs from the perspectives of innovation, challenges, and solutions, providing researchers with profound insights and future directions.
Attention-LSTM Based Modelling for Hangzhou City Metro Passenger Flow Forecasting Study
Authors: Wang Wenyi
Published: December 2024

With the expanding scale of urbanisation, urban traffic problems are increasing, and traffic flow prediction is often of great significance as the core of intelligent transport system (ITS) to solve traffic problems. This paper firstly analyses the temporal and spatial characteristics of the urban traffic flow prediction problem, and for the temporal and spatial characteristics, respectively, establishes a long and short-term memory network LSTM urban traffic flow prediction model based on the attention mechanism; finally, based on the kaggle dataset, the Hangzhou metro passenger flow dataset is used for the effect test of the model, and the results show that the model has a good predictive effect for the prediction of the Hangzhou metro passenger flow. The results show that the model has good prediction effect for passenger flow prediction in Hangzhou metro.
Environment Monitoring based on the Integration of Edge Computing and Multimodal Sensors
Authors: Peng Fan
Published: December 2024

Environmental monitoring plays a crucial role in modern urban development, yet it faces challenges related to the accuracy of data collection and the battery life of sensor nodes. This study investigates the design and implementation of an environmental monitoring system that integrates edge computing and multimodal sensors. The paper proposes the combination of edge computings low latency and distributed processing capabilities with the diversity and data redundancy of multimodal sensors to achieve efficient and precise environmental monitoring. The system employs the LSTM (Long Short-Term Memory) time series prediction model to dynamically adjust the sampling frequency of sensors, thereby optimizing energy consumption. Experimental results indicate that this method significantly improves the real-time responsiveness, accuracy, and battery life of the environmental monitoring system. This study makes significant contributions to the field of environmental monitoring by addressing technical challenges, economic feasibility, and social impacts, thus providing strong support for the sustainable development of smart cities.
Crianças no contexto da Educação Infantil: diagnósticos para quê?
Authors: Souza Tauanne , Batista Cleide Vitor Mussini
Published: December 2024

Este trabalho tem como objetivo apresentar dados que justifiquem o crescimento dos diagnósticos de Transtorno do Espectro Autista (TEA) na Instituição de Educação Infantil. Assistimos há um aumento significativo nos diagnósticos nos últimos anos, indagamos então às problemáticas da inclusão de crianças com TEA nesse contexto. O nosso problema de pesquisa foi entender as razões desse crescimento e refletir sobre a tendência de epidemia. Para isso, a pesquisa utilizou uma metodologia de levantamento bibliográfico. No estudo, foram examinadas as relações entre o aumento dos diagnósticos com o capitalismo, a visão dos movimentos psicanalíticos sobre o TEA e as falhas na inclusão nas Instituições de Educação Infantil. Nosso artigo argumenta que é fundamental que as crianças sejam escutadas diante de suas falas, sintomas e vivências, onde o ponto de partida de reflexão deve ser a perspectiva do próprio sujeito com TEA. Outro eixo principal é papel do professor nesse processo, sugerindo uma humanização do olhar para as experiências das crianças analisando como a psicanálise pode contribuir significativamente. Como contribuição, oferece uma análise crítica sobre o crescimento dos diagnósticos do TEA e recomenda o auxílio individualizado, e a descredibilização de diagnósticos prontos e fechados que reduzem as crianças a meros fenômenos mercadológicos.
Como seria a condução do caso Pequeno Hans atualmente?
Authors: Zapparoli Ferdinando Vinicius Domenes
Published: December 2024

O caso do Pequeno Hans é um estudo fundamental na psicanálise, fornecendo uma aplicação prática das teorias de Freud e ilustrando a complexidade do desenvolvimento emocional infantil. A análise da fobia de Hans oferece uma visão detalhada de como os conceitos psicanalíticos podem ser utilizados para entender e tratar questões emocionais. Embora o estudo tenha sido influente e tenha contribuído significativamente para a psicanálise, também gerou críticas que destacam a necessidade de uma análise mais crítica e a consideração de abordagens alternativas no campo da psicologia infantil. O caso de Hans continua a ser um importante ponto de referência e debate na história da psicanálise e na compreensão do desenvolvimento psíquico. Esse trabalho tem como objetivo analisar se o processo terapêutico descrito por Freud no caso do Pequeno Hans seria possível atualmente, optando-se pela metodologia de pesquisa qualitativa, amparada em uma revisão bibliográfica. Considerando que mesmo quem não deseje se apropriar dos contextos freudianos, autores como Bernard Charlot e Mariana Kupfer destacam a relevância da individualidade e da subjetividade do sujeito que apesar de singular, está submetido a uma realidade plural, consequentemente seu comportamento e sua perspectivas psíquicas tem diversos atravessamentos. Desta forma, questiona-se: atualmente o Pequeno Hans seria escutado ou medicalizado?
Entrevista com a professora Marília Evangelista Sota Favinha - currículo e formação de professores em Portugal: desafios e perspectivas contemporâneas
Authors: Favinha Marília Evangelista Sota , Tiroli Luiz Gustavo , Santos Adriana Regina de Jesus
Published: December 2024

A professora Marília Favinha é doutora em Ciências da Educação pela Universidade de Évora (2007), possui mestrado em História Cultural e Política Contemporânea de Portugal pela Universidade Nova de Lisboa (1997) e licenciatura em Ensino de História pela Universidade de Évora (1992). Atualmente, exerce o cargo de Professora Auxiliar no Departamento de Pedagogia e Educação, onde se destaca como conselheira na Assembleia de Departamento. Além disso, é diretora de dois programas de mestrado: o Mestrado em Ciências da Educação, com ênfase em Administração, Regulação e Políticas Educativas, e o Mestrado em Ciências da Educação oferecido em São Tomé e Príncipe, ambos na área de Ciências da Educação. A professora dedica-se aos temas do currículo, formação de professores e gestão escolar, orientando teses e dissertações, além de trabalhar no intercâmbio entre países lusófonos. Nessa entrevista, a professora discute desafios e perspectivas contemporâneas do sistema educacional português. Entre os temas explorados estão as etapas formativas para atuação na educação básica e no ensino superior, as políticas curriculares, o envelhecimento do corpo docente e os impactos do intercâmbio acadêmico entre os países lusófonos. Sua experiência, aliada à atuação internacional, oferece uma análise aprofundada das políticas educacionais portuguesas e suas interfaces com a cooperação internacional, destacando as contribuições mútuas entre Portugal e outras nações.
Cosmetic Stature Lengthening: An Investigation Into Sociodemographic Determinants and Public Perceptions
Authors: Lari Ali , Alherz Mohammad
Published: December 2024

Introduction:

Height is an important psychosocial indicator, with short stature linked to a poorer quality of life. This study investigates public perceptions and attitudes toward cosmetic stature lengthening, a surgical procedure designed to increase individuals' height without a standard necessity.

Methods:

Using a mixed-methods approach, an online general population sample was surveyed using a crowdsourcing platform (Prolific Academic), which facilitates demographically representative samples. Societal influences, personal attitudes, and awareness of the procedure were explored.

Results:

Our quantitative analysis revealed a distinct demographic and psychological profile for individuals more inclined toward the procedure, with self-perception of being short, believing height threatens career progression, and being male as notable factors. The primary motivating factor in these individuals was the range of potential height increase, whereas the most common deterrents were potential complications and weight-bearing status. Qualitative findings highlighted themes of negativity toward the procedure, concerns about pain and recovery time, acceptance of personal physical appearance, and empathy toward height-related distress.

Discussion:

These findings underscore the need for public education, policy considerations, and multidisciplinary patient evaluation processes for cosmetic stature lengthening. Future research should focus on the short- and long-term physical and psychosocial effects to contribute to evidence-based patient education and informed consent.
Complications Following Surgical Treatment of Haglund's Syndrome With and Without Flexor Hallucis Longus Tendon Transfer
Authors: Anastasio Albert T. , Krez Alexandra N. , Kutzer Katherine M. , Wu Kevin A. , Morrissette Kali J. , Hinton Zoe W. , Hanselman Andrew E. , Schweitzer Karl M. , Adams Samuel B. , Easley Mark E. , Nunley James A. , Amendola Annunziato
Published: December 2024

Background:

In the surgical treatment of Haglund syndrome, combining a flexor hallucis longus (FHL) tendon transfer with Achilles tendon may improve plantarflexion strength and reduce strain on the repaired Achilles tendon. However, there is limited research comparing complication rates between surgical approaches with or without concurrent FHL tendon transfer.

Methods:

This was retrospective study of patients who underwent surgical management for Haglund syndrome between January 2015 and December 2023. Surgical management included open central-splitting Achilles tendon débridement, Haglund prominence resection, and subsequent Achilles tendon reattachment, either with or without concurrent FHL tendon transfer. Patient demographics, comorbidities, and postoperative complications were collected. Statistical analysis was conducted to compare outcomes between the two groups.

Results:

Among the 390 patients who underwent surgical intervention for Haglund syndrome, 52 individuals received FHL tendon transfer. The average follow-up duration was 10.1 ± 12.9 months. Overall, complications included persistent pain (10.3%), wound breakdown (8.2%), infection (1.8%), plantar flexion weakness (1.5%), and Achilles tendon rupture (0.3%). No notable difference was observed in complication rates between the two groups. However, wound breakdown was higher in the FHL tendon transfer group compared with the non-FHL group (P = 0.5). No patients who received a FHL tendon transfer experienced a postoperative Achilles tendon rupture.

Conclusion:

In the largest study of patients who underwent surgical treatment for Haglund syndrome, with or without FHL tendon transfer, the overall complication rate was comparable. However, the FHL tendon transfer group exhibited a higher tendency for wound breakdown.