bluuebunny/crossref_metadata_2025 huggingface dataset:
The impact of adjusting the fineness modulus of dune sand on the mechanical behavior of ordinary concrete - Case of granular range of 15 mm
Authors: Abdelghani Idder , Abderrahmane Moulay Ali , Youcef Boutadara , Abdelkader Bassoud , Rabia Abdeldjebar , Leyla Fali , Abdelmadjid Hamouine
Published: December 2024

The targeted objective of this work is to present an optimal formulation of ordinary concrete (Dmax=15mm) using local materials from an arid region, by correcting the fineness modulus of dune sand to obtain a preferred sand. We conducted a series of tests on more than 270 cubic specimens (15*15*15) cm³. The use of dune sand alone in the composition of concrete can create problems with the continuity of the granular mix due to its granularity, which is poor in grains larger than 2 mm and a fineness modulus lower than 1.80. These characteristics directly influence the behavior of concrete in both fresh and hardened states, which is why we try to correct the fineness of dune sand (0/1.25) mm by incorporating crushed sand (0/5) mm with targeted fineness modules of 2.2, 2.5, and 2.8. We found that the introduction of corrected sand has a positive influence on the consistency of the concrete as well as its compressive strength. The results obtained for the compressive strength of the concrete correspond to sand with a fineness modulus varying between 2.2 and 2.8, which are the best compared to concrete with a 100% dune sand content.
Some spectral properties of linear operators satisfying two important symmetric equalities
Authors: Ahfouda Belhadi , Abdelouahab Mansour
Published: December 2024

We study  the importance of Drazin invertibility of operators on Banach space, in this work we present some common spectral properties for some  class of bounded linear operators on a Banach space which satisfying two importante equalities between the product of the operator T and S and the power of T and S  and the squart root of T and S, we  We arrived at very good results which concern not only the spectra of these operators, but also different types of spectra such as the point spectrum, the approximate spectrum and other types, also we can generalize this importante result to the higher and fractional power. Drazin invertibility and its use in different domains of engineering are clear from these results obtained in our paper. We present new additive properties of the  product  of Drazin inverse of a linear operator on a Banach space. The Drazin invertibility of certain some operator on a Banach space is thereby established. These results extend many known results in the domain of operator theory, operator equation and the Drazin and generalized invertibilty of operator.
The production of ecological gasoline that complies with new environmental requirements at the southern industrial complex in Hassi Messaoud Algeria
Authors: Benabidi Bilal
Published: December 2024

The Hassi Messaoud Refinery (RHM2) currently produces gasoline with high aromatic content (50.08% by volume) and elevated benzene levels (2.40%), failing to meet EURO V standards and posing significant health risks, such as asthma and cancer. The increasing consumption of such fuel further underscores the urgency for a safer alternative. The Objective of this research is to develop an environmentally friendly gasoline that complies with the international environmental standards established by the European Commission (EURO V). To accomplish this, the simulation software ASPEN HYSYS V12.1 was employed, utilizing the alkylation reaction between iso-paraffins and olefins derived from gas sources. The resultant simulated alkylate, labeled as ecological gasoline, is designed to completely eliminate aromatics and benzene while increasing the octane rating. This innovation not only meets stringent environmental guidelines but also paves the way for Algeria to export of high quality gasoline to international markets, thereby positioning itself as a significant contender in the global energy sector.
The use of molybdate in replacement of chromate as a steel corrosion inhibitor in neutral media - a comparative study
Authors: Benarioua Mokhtar , Baiti Adel , Bouzeghaia Nora , Benkherbache Souad , Naoun Mahiedine
Published: December 2024

Corrosion in neutral media such as water cooling systems is one of the most important dilemmas to be solved. The use of corrosion inhibitors is an effective way to protect systems. The objective of this work is to investigate the possibility of replacing Potassium Chromate (an element harmful to human health and the environment) with Sodium Molybdate (considered as environmental inhibitors) in the inhibition of corrosion of steel in distilled water. The study was conducted by considering the synergies of both inhibitors with Zinc Chloride Salt using both combinations; [Sodium Molybdate - Zinc Chloride Salt] and [Potassium Chromate - Zinc Chloride Salt], using graphimetric method, stationary and non-stationary electrochemical techniques and optical micrography. The graphymetric method was used to determine the effective inhibitory combinations by analyzing all proposed concentrations for each combination of inhibitors. The best results obtained were then submitted to evaluation by potentiodynamic polarization, electrochemical impedance spectroscopy and optical micrography. The results showed that the inhibition efficiency of Sodium Molybdate was very modest compared to Potassium Chromate which demonstrated a huge inhibitory effectiveness. Thus, Sodium Molybdate cannot replace Potassium Chromate in the inhibition of corrosion of steel in a neutral media.
Population change of the municipalities of Bechar province for the period (1998-2008)
Authors: Slimane Ghouizi , Mohamed Hadied
Published: December 2024

The aim of this study, entitled "Analysis of population change in the municipalities of the Bechar province for the period 1998-2008", is to determine the reality of the spatial distribution of the population in the municipalities of the Bechar province, located in the south-west of Algeria, and the trends in population growth for the period 1998-2008, and to analyze population growth in order to reveal the differences in this distribution. The results of the study indicated the existence of high variation between the population growth rates of the municipalities in the wilaya of Bechar, which ranged between -0.7 per cent in Moughel municipality and 3.5 per cent in Lahmar municipality. The study showed the trends of spatial distribution of population densities and their concentration in the municipality of Bechar. When calculating the concentration ratios were observed in some municipalities such as Tabalbala and Lahmar municipality, and lower in others such as Beni Abbes and Igli municipality.In general, the overall concentration ratio for the wilaya of Bechar increased by 1.57% between 1998 and 2008, which indicates that the concentration rate continues to rise, reaching 65.54% for the year 2008. This means a poor population distribution in relation to the total area of Bechar governorate.
Smart grid reliability improvement using smart sensors
Authors: Boutora Saliha , Dellili Lina
Published: December 2024

This study investigates the enhancement of reliability in smart grids through the implementation of a novel protective device, a relay-based smart sensor. The smart grid introduces unique challenges for security systems, such as bidirectional energy flow, variable fault currents, and increased vulnerability due to distributed generation. Traditional protective relays, while essential in legacy systems, often fall short in addressing these complexities. Smart sensors, on the other hand, offer advanced capabilities by integrating sensing devices, signal processors, and microprocessors into a single unit capable of real-time data processing and communication. Using Fault Tree Analysis (FTA), the reliability of smart sensors in a decentralized grid was analyzed and compared to traditional relays. Various subsystems, including photovoltaic and wind turbine setups, were examined to assess system dependability. The results demonstrate a significant reliability improvement when using smart sensors, achieving a reliability score of 0.881 compared to 0.669 for traditional relays. This highlights the transformative potential of smart sensors in enhancing network protection and mitigating risks. The study underscores the necessity of adopting innovative technologies to address the evolving demands of smart grid systems. Future work could explore more complex fault trees and external factors impacting microgrid performance.
The cantilever beams experimental dynamic investigation according to the Euler-Bernoulli theory
Authors: Tichouche Fatma Zohra , Hammou Abdelkader Djilali , Kired Belkacem , Zaza Gharbi
Published: December 2024

The purpose of this study is to experimentally determine the natural frequencies by modal analysis of flexure vibrations of cantilever Euler-Bernoulli beams with different dimensions to verify this classical theory. The influence of the sensor mass and its position on the natural frequencies is subsequently determined. For this purpose, the first three natural frequencies were extracted via experimental dynamic tests and subsequently compared to the analytical study results according to the classical Euler-Bernoulli theory of transverse vibrations. These tests were carried out on steel beams of different lengths and widths, where the beams were fixed at one end and free at the other end with the sensor placed at different positions. A comparison of the experimental values with the analytical calculations shows that the exactness of the analytical calculated natural frequencies is affected by the beam length and width and that it is affected by the sensor mass and its position.
Towards the study of crack spacing on small scale models in reinforced sand concrete
Authors: Slimane Bousserhane , Abdelmadjid Hamouine
Published: December 2024

"Sand-based reinforced concrete is currently undergoing testing and validation. One primary concern in our Civil Engineering Laboratory at Tahri Mohamed Béchar University is the cracking behavior of this material.To initiate our investigation into cracking patterns, we plan to conduct four-point bending tests on reduced-scale reinforced concrete beams measuring 10x15x60 cm³. By analyzing the spacing of parallel cracks on these beams, we aim to: Determine the maximum, minimum, and average crack spacing. Optimize the distribution of transverse reinforcement to control crack formation. Compare the cracking behavior of sand-based concrete to traditional reinforced concrete."
Politeness in Acculturation: How Power Dynamics Shape Intercommunication Between Chinese and Western Culture
Authors: Zhang Haochen
Published: December 2024

This research focuses on the attempts of individuals at different social levels within Chinese and Western cultural backgrounds to communicate and collaborate harmoniously. Based on the politeness principle proposed by American professor Grace, the research will explore the specific application in both China and Western cultures from three dimensions: hierarchical relations on honorifics and conditional sentences, implicatures and indirectness in a turn-taking. In detail, the research applies Jenny Thomas’s theoretical framework on Leech’s conversational maxims and the four factors influencing directness and aspires to examine and investigate the differentiated applications of the politeness principle in specific cultural dynamics. The researcher will examine dialogues in four classical texts such as King Lear, Pride and Prejudice, Dream of the Red Chamber and A New Accounts of Tales, alongside with the views of different scholars across the globe from different disciplinary angles. Ultimately, the research aims to provide theoretical insights for enhancing communication among multilingual talents in the post-pandemic era. These insights could facilitate more effective interactions and collaborations in an increasingly interconnected and acculturated world. Through this analysis, the researcher aims to bridge cultural divides and promote effective dialogue across diverse international business and social settings.
Exploring Language Transfer of Learning French as a Second Foreign Language under the Theory of Trilingual Acquisition
Authors: Huang Bohan
Published: December 2024

Chinese universities provide courses in learning French as second language to undergraduate English majors. French plays an important role in the professional courses for undergraduate English majors as a choice for second foreign language courses. Based on the trilingual acquisition theory, this study focuses on the phenomenon of language transfer in learning French as a second language from the perspective of learners. Through the research and analysis of the phenomenon of the transfer of English majors' second foreign language, the influential factors of the transfer of English majors' second foreign language are obtained. Meanwhile, through the empirical research of English majors' second-foreign language French learning, the influence of language transfer on the second foreign French learning has been summarized. In addition, the current situation and obstacles to English majors' second foreign language learning are studied and some learning suggestions are given. Finally, the research results, limitations, and prospects are listed.
Impacts of Factors of Production and Public Policy on the US and China Offshore Wind Industries Analysis
Authors: Zhou Zexue
Published: December 2024

In 2023, global carbon dioxide emissions climbed to a staggering new high of 37.4 metric tons, a grim situation driven primarily by the massive consumption of fossil fuels, particularly coal. In this context, the offshore wind power industry has emerged as a key part of tackling climate change and emission reduction challenges. This paper provides an in-depth analysis of how productive factors and public policy work together to shape the development of the offshore wind industry in the United States and China, highlighting the importance of land availability, labor market quality and size, and capital investment flows in shaping the future of the industry. At the same time, the paper also carefully examines how the government can effectively attract and promote investors to participate in offshore wind power projects through a series of public policies, such as tax incentives, subsidies and other financial incentives. The results show that China has a clear lead in the offshore wind market compared to the United States. This paper aims to make insightful suggestions for the sustainable development of offshore wind power industry in both countries through comparative analysis of the advantages and disadvantages of the two countries.
The Image of Money In 19th-Century France: An Economic and Monetary Philosophy Perspective on PÈRe Goriot
Authors: Zhong Yiming
Published: December 2024

This paper analyzes Balzac’s classic novel Le Père Goriot, exploring how money alienates human nature and its effects on individuals and society within the context of capitalist systems. It begins by examining the rise of capitalism in 19th-century France, highlighting how the capitalist system fostered social division and widened the gap between rich and poor. Then, it delves into the character of Père Goriot, portraying him as both a ruthless businessman and an overly indulgent father, revealing how money distorts his love to his daughters, creating a conflict between feudalism and capitalism. Finally, the study discusses how the rise of materialism and the worship of money led to the erosion of spiritual values and the loss of a messianic (savior) consciousness. It concludes that in a society lacking shared ideals and faith, money becomes deified, resulting in the degradation of human nature and the tragic collapse of familial bonds.
Zere plekken en heilige grond
Authors: Van Dijk Bernadette , Timmerman Guus
Published: December 2024

In een kort filmpje op de website van het straatpastoraat in Amersfoort vertelt Bernadette van Dijk wat het straatpastoraat doet. Guus Timmerman, wetenschappelijk medewerker van Stichting Presentie, gaat met haar in gesprek.
Zonder woorden
Authors: Rosmolen René
Published: December 2024

De Duitse kunstenaar Johannes Wickert (1954) ging als 16-jarige boerenzoon naar de Hogeschool voor de Kunsten. Hij bleek een multitalent; daarnaast studeerde hij gerontologie en fysica en hij promoveerde als psycholoog. Wie bij deze schilder een portret bestelt, wordt gevraagd om zijn voeten te tonen. Voeten beschouwt Wickert als hoogst individueel, vergelijkbaar met een vingerafdruk. ‘Hoe iemand op de grond staat en gaat is voor mij een verborgen indicatie hoe iemand in het leven staat en gaat’, zegt hij. ‘Onze voeten zijn het enige lichaamsdeel waarmee we in nauwe verbinding staan met Moeder Aarde. Hoe je met beide voeten op de grond staat en gaat is een levensopgave voor ons allemaal: een plek te vinden …’ Dat geeft te denken.
Application of ABC Analysis and Linear Regression Model in Inventory Management
Authors: Lin Yiheng
Published: December 2024

Due to the competitive environment of commerce of today, supply chain management has become the core part of running a series of industries, earning profits, and having a direct impact on market response and customer feedback. Optimizing and managing inventory to reduce waste and increase profit becomes the main focus of todays supply chain. Therefore, this research focuses on analyzing inventory management through linear regression analysis and ABC analysis to investigate its potential problems. The research uses a dataset including product information, inventory status, and purchase and sale order information. Linear regression was used to analyze the company's inventory, and it was found that sales volume and sales profit were on a decreasing trend. The reasons for the decreasing trend were analyzed using ABC analysis and reveals that a significant portion of the inventory is occupied by poorly selling products, with few brands demonstrating strong sales performance. Based on a comparison of statistical analysis and machine learning predictions, it was concluded that the linear model was more suitable for tracking the data, while the ABC analysis indicated the focus of the different brands. Using these two methods together gives a more comprehensive view of the companys situation.
Localization Reform of Multinational Enterprises in China-based on Human Resource Management, Cross-cultural Management and Talent Localization Strategy
Authors: Ding Ming
Published: December 2024

Against the backdrop of the intertwined processes of globalisation and localisation, the Chinese market entry rate of multinational enterprises has risen significantly, further highlighting the importance of the Chinese market on a global scale. By 2023, MNEs' investments in China will account for around 20 per cent of total global MNE investments. In recent years, more and more multinationals have chosen to set up regional headquarters or R&D centres in China. This phenomenon not only promotes China's sustained economic growth, but also makes the demand for MNEs' localisation reforms stronger. Focusing on the localisation reform of multinational enterprises, this study analyses the strategies and practices of human resource management, cross-cultural management and talent localisation. In cross-cultural management, it applies Kurt Lewin's Unfreeze-Change-Refreeze Model to explore how to effectively adjust the power structure to adapt to the local market. In today's market landscape, MNEs in China suffer from HQ dominance in these three areas: high talent mobility, culture clash, insufficient local talent development, and over-reliance on expatriate management. Through modeling and theoretical analysis, MNEs must focus on the balance between global and local, cultural adaptation and integration, and the improvement of the localization of key positions.
Research on the Prediction of Yield and Portfolio Planning of Actively Managed Funds Based on Machine Learning
Authors: Zhao Cheng
Published: December 2024

This paper takes 23 features of China's actively managed funds from 2015 to 2024 as samples, and predicts the future returns of the funds based on traditional linear regression models, Elastic Net models, Decision Tree models, Random Forest models, Ridge Regression models and Lasso Regression models, and constructs investment portfolios in groups according to the predicted return. The effectiveness of the investment portfolio construction is examined by analyzing the Sharpe ratio, information ratio, volatility and maximum drawdown rate of real data, and the predictive ability and stability of the features are examined by analyzing the value of Rank IC and ICIR of the features. The study found that the features used in this paper can provide rich information for the model, and most of the features have strong predictive ability and predictive stability; the performance of each investment portfolio is consistent with the real data; compared with the traditional linear model, the machine learning method has higher prediction accuracy, more flexibility and stability.
Anta Sports Products Purchase Decision and Influencing Factors Analysis
Authors: Zhang Yuanxiang
Published: December 2024

This study provides an in-depth analysis of consumer purchase decisions and influencing factors for Anta sports products, a leading Chinese sportswear brand. The research aims to offer strategic insights for Anta and other sports brands in their marketing, product promotion, and brand development. Utilizing Porter's Five Forces Model, the study examines the competitive landscape of China's sports goods market, highlighting the challenges and opportunities faced by Anta, particularly in the context of market competition and industry trends. The analysis includes a SWOT examination of Anta, identifying strengths such as diversified brand advantages and strong main business and asset flow, while also addressing weaknesses like investment risks and inventory price decline risks. The study further explores consumer behavior, focusing on psychological factors such as motivation and personality, and how these influence purchasing decisions. External environmental factors, notably age, are also considered in relation to consumer attitudes and preferences. The research concludes with strategic recommendations for Anta, emphasizing the need for a differentiated product system, experiential and interactive marketing, and optimized online and offline marketing channels to enhance market presence and operational efficiency.
The Importance of Small Business Development to the National Economy and the Factors Affecting Its Development
Authors: Zhao Yupeng
Published: December 2024

This essay examines the important role small business development plays in the growth of national economies, emphasizing the jobs, innovation, and local economic development that small businesses contribute to. Small companies are essential employers because they provide a wide range of employment options and encourage skill development and entrepreneurial endeavors among their employees. By launching new goods and services and boosting industry dynamics and rivalry, they stimulate innovation. Small enterprises support resilience, social equality, and economic diversification despite obstacles like financial limitations and regulatory obligations. They can boost local economies and withstand economic shocks thanks to their flexibility and adaptability. This essay also discussed the difficulties small firms confront and how to maximize their contributions by implementing targeted legislation, providing financial support, and offering business development services. National economies can achieve long-term economic stability and community vitality by fostering an atmosphere that encourages small company growth. This thorough analysis highlights the role that small businesses play in creating a stable and dynamic economic environment and emphasizes the necessity for continual support to guarantee that these enterprises continue to have a beneficial impact.
Research on "land finance" in China
Authors: Zhang Tianjia
Published: December 2024

The topic of this paper is to study the land finance under the socialist system with Chinese characteristics. In addition, this paper simply explores China's unique land system environment and China's economic development environment. Through research, it is found that "land finance" not only promotes the development of China's industrialization and urbanization, but also exposes some problems existing in the process of economic downturn, such as heavy debt of local governments, waste of resources and so on. By studying land finance with Chinese characteristics, this paper facilitates readers to further understand the operation mechanism of land finance and its specific impact on the social economy, and at the same time provides an improvement basis for the Chinese government to guide the healthy development of land finance, avoid potential risks, and improve the downward situation of China's real estate industry, to further promote the sustainable development of cities and healthy economic development.
International Employment Relations Management of MNCs: Challenges and Recommendations
Authors: Wang Ruofan
Published: December 2024

Globalization and technological changes have significantly reshaped the landscape of international employment relations (IER) for multinational corporations (MNCs). This essay explores the impact of globalization and technological changes and the challenges posed by these phenomena including the impact on labor markets, the dynamics of remote working, and the rise of gig work. Using relevant theories, such as the Resource-Based View (RBV) and Transaction Cost Economics (TCE), and concepts like cultural intelligence and institutional theory, it critically examines how MNCs can develop effective IER policies and practices to navigate these challenges. The essay also includes case studies of prominent MNCs to illustrate the practical implications and responses to these challenges.
The Evolution of Policies and Mechanisms in Chinas Digital Government Initiative: A Quantitative Text Mining Approach
Authors: Hong Yang
Published: December 2024

Within the ongoing context of social informatization, China has achieved considerable development in its digital government construction. However, there remains a lack of systematic and scientific policy review concerning Chinas digital government construction. This paper investigates 290 policies pertinent to Chinas digitalization efforts from November 1995 to July 2024. By utilizing methods including word frequency analysis, semantic network analysis, and topic clustering, it conducts a systematic examination of the policy transitions and developmental framework of Chinas digital government from 1995 to 2024. The trajectory of Chinas digital government construction policies has encompassed three distinct phases: the initialization of government informatization and e-governance, the era of the Internet Plus Government Services initiative, and the current phase of digital government construction. These policies have been modified in response to the changing priorities of government digitalization, exhibiting both continuity and adaptability, and are in synergy with the progressive establishment of a service-oriented government in China.
Feasibility Report on China's 2060 Carbon Neutrality Target
Authors: Zhang Yue
Published: December 2024

Global warming is an urgent threat requiring immediate action. China's dedication to attaining carbon neutrality by 2060 is a critical development in the global climate initiative, with significant implications for environmental sustainability, economic development, and energy policy. The article provides a thorough investigation of the viability of China's ambitious objective to achieve carbon neutrality by 2060. By examining the current environmental landscape, policy frameworks, and technological advancements, the study explores China's potential to decrease the emission of carbon dioxide, enhance energetic efficiency and accelerate the transition to clean energy. The analysis identifies key opportunities and challenges, providing insights into the strategies necessary to meet its carbon neutrality goals within the stipulated timeframe.
Analysis of Formation Mechanism of Financial Asset Bubbles, Their Impact and Their Governance: A Literature Review
Authors: Zeng Xiakexin
Published: December 2024

Financial asset bubbles are an important factor affecting the stability of the macroeconomy and the financial system, and their formation and bursting can seriously impact the macroeconomy and the financial system. If the response is inappropriate, it is elementary to brew a large-scale financial crisis, and the resulting imbalance may have serious economic and social impacts on the region where it occurs. Therefore, this paper focuses on the formation mechanism of financial asset bubbles, their impact and their governance. The following conclusions are drawn: the formation mechanism of financial asset bubbles includes both rational and irrational bubbles, with the latter mainly stemming from behavioral financial factors such as investors' noisy trading behavior and cognitive capacity limitations. The impact of financial asset bubbles on the financial system and the macroeconomy includes credit expansion and high leverage, market confidence and systemic risk, as well as economic downturns, inflationary pressures, and increased fiscal burdens.
Counting the Cost: The Economic Impacts of Climate Change
Authors: Qin Mingyu
Published: December 2024

This paper explores the intricate relationship between climate change and economic development from 1990 to 2018. It examines the correlation between rising greenhouse gas emissions, global temperature increases, and GDP growth in various nations. While initial data suggests that developing economies benefit from industrialization, this growth often comes at the expense of environmental health. The essay critically assesses the sustainability of this growth model, highlighting the latent environmental costs that could reverse these economic gains in the long term. Emphasizing the urgent need for sustainable development strategies, the essay advocates for an economic model that balances growth with ecological preservation.
Comparative Analysis of the Real Estate Markets in China and Japan - Including an Examination of Influencing Factors
Authors: Sun Mengfei
Published: December 2024

China's and Japan's economic development has undergone decades-long periods of rapid growth at different times, with the real estate industry consistently representing a significant portion of GDP. After Japan experienced a real estate bubble in the 1990s and then the bubble burst, the economy has been recovering slowly or even stagnant. China is currently experiencing a real estate economic bubble. This article will use comparative analysis to compare the real estate markets of China and Japan from the perspectives of politics, economy, society, and culture, and deeply analyze the impact of these factors on the real estate economy. After in-depth research, it finds that the different policies and economic environments, and the cultural values of residents will have a certain impact on the fluctuations of the real estate market. To prevent the problem of the bursting of China's real estate economic bubble, China should continue to reduce the debt ratio of real estate companies, draw lessons from Japan's experience, strengthen regulatory power, solve regional differences, tailor policies and systems to national conditions, and mitigate the risks that the real estate market will face.
The Impact of Digital Transformation on Performance of Pharmaceutical Enterprise - Take Yunnan Baiyao as an Example
Authors: Qin Jiayi
Published: December 2024

With the rapid development of digital technology, traditional innovation management theories and practices are facing great changes. Digital technologies have not only changed the way innovation is done, but also reshaped the environment in which companies operate. Digital transformation is considered by many organizations as the fastest way to change their own predicament. However, up to now, the vast majority of successful transformation of enterprises are financial or manufacturing-related, pharmaceuticals, as a closely related to human life industry, its digital transformation process has been stagnant. Therefore, this paper chooses Yunnan Baiyao, one of the earliest successful companies in this field, as a case study, and summarizes the company's transformation path and its impact on its performance, providing reference value for those companies which fail to do so. After qualitative research and calculation, this paper prove that digital transformation has a positive impact on its performance growth. Especially stepping into the stage of intelligence and digital intelligence, thanks to reasonable control of costs and accurate digital strategy development, the company revenue and overall operational efficiency has been greatly improved.
Study of LVMH's Marketing Strategy in the Chinese Market Based on the 4P Model
Authors: Zhu Zihe
Published: December 2024

Since mankind entered the 21st century, the world pattern has changed rapidly, and China has become the second largest economy in the world. The scale and structure of China's consumer market are also undergoing earth-shaking changes. Among them, the changes in the luxury market are the most prominent, which has experienced a significant leap from 0 to 1 to 100 in the past 20 years, and China has become the world's largest market for luxury goods. LVMH, the world's largest luxury group, has achieved remarkable success in China. This paper uses the qualitative research method to analyze LVMH's marketing strategy in the Chinese luxury market and its corresponding advantages and disadvantages based on the 4P model. This study finds that LVMH's marketing strategy has enabled its brands to deeply integrate with Chinese society, quickly capturing and rapidly growing in the Chinese market. However, there are certain shortcomings in price control and homogeneous competition, indicating room for future development.
Explaining the Book-to-Market Ratio Effect from the Perspective of Behavioral Finance
Authors: Liu Yuxiu
Published: December 2024

This study aims to investigate the driving factors behind the long-term reversal of stock returns, with a particular focus on the causes of the book-to-market ratio effect. By analyzing A-share companies listed on the Shanghai and Shenzhen stock (Chinese) exchanges from 2010 to 2022, this paper decomposes the book-to-market ratio into the book income reflecting company fundamentals and the intangible income reflecting investor expectations, utilizing the Fama and MacBeth method for research. The results indicate that there is no correlation between stock returns and book income, but a negative correlation exists between stock returns and intangible income. Additionally, the returns generated by the reversal of intangible income cannot be fully explained by the Capital Asset Pricing Model. Therefore, this study suggests that the existence of the book-to-market ratio effect in the Chinese stock market is due to an excessive market reaction to the future prospects of companies rather than their fundamental factors.
Exploring the Performance of Financial Derivatives in the Context of a Global Public Health Crisis and Their Tole in Risk Management
Authors: Jiang Yuqing
Published: December 2024

The worldwide implications of the COVID-19 pandemic had a lot of impact on the markets, identifying the weaknesses of financial instruments, especially the derivatives such as credit default swaps (CDS), futures, and options. These derivative risk management tools have been subjected to extreme volatility, forcing specialists to look into their effectiveness under extremely hazardous conditions. This article highlights the participation of derivatives in the market downturn period amid the pandemic, targeting the VIX index and the Global Interest Rate. Employing both quantitative and qualitative perspectives, such as the estimation of event studies and regression analysis, the research investigates the onset of the pandemic and the derivatives markets and assesses these markets' role in responding to global uncertainty. The study's results illustrated the derivative's dual function in the pandemic, which was capable of efficient risk mitigation, although there were chances of market volatility becoming uncontrollable. This suggests that the regulators' supervision and effective risk management technologies are needed to surmount systemic risk during periods of uncertainty
Research on the Chinese Consumers Perceptions of Imperfect Ugly Produce
Authors: Lin Yancheng
Published: December 2024

Despite the nutritional value of imperfect or 'ugly" produce, these items are often left unharvested or discarded, contributing to increasing farm-to-fork food waste issues worldwide, and China is no exception. This paper aims to explore Chinese consumers' perceptions of imperfect produce and their willingness to purchase these foods in their households. Six online focus group sessions were conducted, each involving five voluntary participants. The structured interviews generated a total of eleven themes related to consumer perceptions of imperfect produce, including food safety, freshness confusion, price sensitivity, the channel of sale, product presentation, intended use, goodwill, family influence, consumer education, smart integration and food waste. This study provides initial insights into consumer perceptions of imperfect ugly fruits and vegetables from a research perspective, and the conclusions provide strategies for sustainable food management. This helps stakeholders in the food supply chain to save on production costs while helping governments to alleviate the paradox of hunger and food waste.
The Impact of Green Finance on Carbon Emissions Within the Power Sector
Authors: Chen Junyu
Published: December 2024

This study examines the impact of green finance on reducing carbon output within the energy sector. The research finds that green finance, by utilizing green finance instruments, such as green credit and bonds, allocate funding to low-carbon sectors, promotes the transformation of the energy sector, and effectively curbs carbon output. Trends in green finance indicate that green bonds and green credit serve as key mechanisms. They have significantly propelled the low-carbon transformation and facilitated the carbon reduction efforts within Chinas energy sector. Empirical results suggest that the expansion of green finance, especially the expansion of green credit and green bonds, substantially lower carbon output in the energy sector. Overall, green finance plays a beneficial role in lowering carbon output in the energy sector by providing financial support and guiding enterprise transformation. This research holds significant value in supports the energy sectors shift towards a low-carbon future and in shaping green finance policies.
Investment Strategy Based on the Fama-French Three-Factor Model and Risk Parity in the A-Share Market
Authors: Wang Zhuoming
Published: December 2024

Changes in the global landscape, including epidemics and wars, have led to dramatic shifts in the global economic situation. In the current domestic economic situation, economic development is facing a series of challenges and opportunities. Therefore, as an investment, an appropriate strategy should be adopted to balance the benefits and risks. This paper aims to verify the feasibility of an investment strategy that can balance risk and return in the A-share market. Previous academic research has rarely explored and validated this method for the A-share market, thus presenting an opportunity to address this gap and inspire further research. This paper combines the multi-factor model with the principle of risk parity, and verifies and analyzes it mainly in the A-share market. This paper will validate this investment strategy using past data and then illustrate that this investment strategy has certain feasibility and practical value in the A-share market.
Structure and Application of Soft Pneumatic Actuators
Authors: Zhen Ziyang
Published: December 2024

With the development of science and the continuous innovation of technology, soft pneumatic actuators have found widespread application in practical engineering. These actuators are crucial in robotics due to their flexibility, adaptability, and safety in handling delicate or irregular objects. Unlike their rigid counterparts, soft pneumatic actuators can securely manipulate objects of varying shapes, softness, and fragility, while remaining lightweight, controllable, and cost-effective. This makes them ideal for applications in fields like medical surgery, where precision and gentleness are paramount, as well as in other fields such as agriculture and food processing, where handling fragile produce is necessary. It is therefore essential to further develop this technology. This article provides a comprehensive overview of the advanced structural forms of soft actuators and their applications in diverse fields, synthesizing existing research and offering fresh perspectives. Overall, soft pneumatic actuators have considerable potential for application in a number of fields, due to a number of advantageous characteristics, including sustainability, light weight, simple design and high output force. Significant progress has been made in research globally, and future research is expected to further expand the scope of their application and increase their value.
Prediction of Stock Market Volatility and Bond Risk Based on Deep Learning
Authors: Dong Bokun
Published: December 2024

With the rapid development of financial markets, the linkage between the bond and stock markets has become increasingly evident. This paper leverages four deep learning modelsXGBOOST, Random Forest, GRU, and LSTMto predict stock prices using the S&P 500 dataset, aiming to explore the underlying mechanisms between stocks and bonds. Among these models, XGBOOST demonstrated the highest accuracy in predicting stock price trends, accurately tracking price volatility. The Random Forest model also displayed strong robustness. In contrast, LSTM and GRU were slightly less effective at capturing short-term sudden fluctuations in this experiment. Ultimately, this research provides a novel fintech perspective for risk monitoring and early warning, laying a foundation for future financial market prediction and risk management.
Mobile Application Software Security Protection: A Comprehensive Analysis
Authors: Li Zexuan
Published: December 2024

In the digital age, mobile application security holds an extremely crucial position. This comprehensive paper undertakes an in-depth exploration of the realm of mobile app security. It meticulously identifies a range of common threats that pose a significant risk to mobile applications. These threats encompass malware and virus infections that can disrupt the integrity of the app and user data, data breaches and privacy violations that expose sensitive information, and network attacks that intercept and modify data transmissions. The paper subsequently proceeds to explore various protection mechanisms, such as robust encryption to safeguard data, strict authentication procedures to prevent unauthorized access, and thorough security testing. Additionally, it investigates technical solutions like code obfuscation, RASP, mobile application firewalls, and biometric authentication. The study emphasizes the importance of user education, developer best practices, and regulatory compliance. However, it also acknowledges the limitations and the ever-evolving nature of the security landscape. Future research directions are suggested, focusing on emerging threats and the effectiveness of security measures. Ensuring mobile app security requires continuous monitoring and collaboration among developers, users, and regulatory bodies to create a safe and reliable mobile ecosystem.
Smartphone Price Prediction Using Decision Tree and Support Vector Regression (SVR)
Authors: Li Xianzong
Published: December 2024

This paper explores the use of two machine learning models, Decision Tree and Support Vector Regression (SVR), for smartphone price prediction. Decision Trees provide a straightforward and efficient classification method, while SVR specializes in managing complex relationships for regression tasks. The study compares the performance of these models in predicting smartphone prices, analyzing key factors such as processor speed, memory, and battery capacity. Additionally, a combined model approach that combines Decision Tree for classification and SVR for regression is proposed to improve prediction accuracy. The results suggest that while Decision Tree performs better in classification tasks, the combination of both models demonstrates potential for more precise price predictions, particularly for low-priced smartphones.
Find the Optimal Solution or Approximate Optimal Solution in Interval Scheduling
Authors: Liu Suyu
Published: December 2024

The interval scheduling problem is a classic optimization challenge that finds broad applications in fields like resource allocation, job scheduling, and network management. This paper focuses on exploring strategies to obtain both optimal and approximate solutions to the problem. The research compares the effectiveness of greedy algorithms, which adhere to a local optimization strategy, with dynamic programming (DP) methods that consider global solutions by decomposing problems into sub-problems. Additionally, other heuristic approaches are discussed to handle situations where computational efficiency is crucial. The results show that greedy algorithms are efficient and appropriate for cases with specific structural characteristics, while dynamic programming provides more accurate solutions for complex problems but at a higher computational cost. The conclusion underscores the significance of selecting appropriate algorithms based on the trade-off between time efficiency and solution quality, providing practical guidelines for applying these strategies in real-world scenarios.
Prediction of Heart Disease Based on Data Classification Models
Authors: Yang Yuanhang
Published: December 2024

With the increasing emphasis on healthy living, the prevention of major diseases has garnered widespread attention. Heart disease, as one of the leading causes of death globally, makes early prediction and identification extremely important. Currently, the prediction of heart disease mainly relies on a multidisciplinary approach. This article focuses on machine learning and selects four supervised learning classification models, including the Back Propagation (BP) neural network classification model, Genetic Algorithm (GA) -Back Propagation neural network classification model, Support Vector Machine (SVM) classification model and Random Forests Algorithm (RF) classification model, to evaluate their performance. Simulation experiments indicate that the GA-BP neural network classification model has the best generalization ability, while the RF classification model achieves the highest classification accuracy and recall rate, with an accuracy of 82.6% and a recall rate of 88.1% on the test set. Overall, the RF classification model performs the best among the four classification models. In future research, improvements and integrations of existing multiple data classification models will play a crucial role in enhancing classification accuracy.