bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on the Impact of Land Use Change on Ecosystem Services in the Water Source Area of the Middle Route Project of S-N Water Diversion
Authors: Jiang Min , Zhang Xinchuan , Zhang Xing , Liu Cheng , Lei Xiaoqin , Zhang Ji
Published: June 2024

The South-to-North Water Diversion Project, a major project in China, is of great significance to alleviate the shortage of water resources in the north, and the ecological environment in the middle water source area has the most critical impact on water quality safety. As a natural resource and asset, ecosystem services in the water source area of the Middle Route of the South-to-North Water Diversion Project not only provide important resources and services for human beings but also are the necessary basis for the survival and development of other organisms on the earth.As an integral part of the earth’s economy, the value of ecosystem services in the water source area of the Middle Route of the South-to-North Water Diversion Project directly or indirectly contributes to human welfare. Scientific use of land resources can promote the upgrading and transformation of ecosystem services in the water source area of the Middle Route of the South-to-North Water Diversion Project. Based on this, this paper focuses on the impact of land use change on ecosystem services in the water source area of the middle route of South-to-North Water Diversion and its prevention strategies.
Research on Prediction of Illegal Wildlife Trade Based on PCA and Multiple Linear Regression
Authors: Wu Fei , Qi Siyuan
Published: June 2024

Illegal wildlife trade is a long-standing issue, exerting negative impacts over national economies, regional security, and even global ecosystems. Governments worldwide and numerous environmental and animal protection organizations have been deeply engaged in addressing this issue for many years. Historically, there has been a lack of a quantifiable model to analyze the impact of implementing wildlife monitoring and conservation projects using drones on illegal wildlife trade.In this paper, we primarily propose an Illegal Wildlife Trade Prediction Model. By integrating four secondary indicators related to wildlife trade with the aforementioned 16 indicators, we reduced them to four primary indicators. The methodological tests confirmed their strong correlation, and multiple regression analysis was used to predict illegal wildlife trade, thereby verifying the project's effectiveness. Innovatively, we established a model to measure the probability of project completion, combining data from model predictions, resulting in an approximate completion probability of 60%. In conducting a project sensitivity analysis, we also developed a new model to perturb the three primary indicators, predicting the project's final outcome under random fluctuation of indicators, with variation rates as low as 0.34%, 0.98%, and 1.22%, indicating the project's stability.
Research on the Quality Evaluation and Improvement of Carbon Emission Right Accounting Information Disclosure in the Context of Low-Carbon Economy
Authors: Yang Zihan , Zhai Yujia
Published: June 2024

This paper explores the accounting treatment of carbon emission rights in the petrochemical industry in China, focusing on the challenges and opportunities presented by carbon trading mechanisms. The study analyzes existing norms in the EU's carbon trading market and evaluates SINOPEC's approach to carbon accounting and emission reduction. Through a comprehensive review of financial reports, sustainability disclosures, and industry trends, the paper offers insights into improving the accounting treatment of carbon emission rights and promoting low-carbon transformation in the petrochemical sector.
Development and Research of Chinese-English Slang Translation Retrieval System under Internet Environment
Authors: Xiong Nuojia
Published: June 2024

Slang plays an important role in cross-cultural communication. It is frequently used in spoken language and constantly updated. Under the drive of new needs, intelligent integrated retrieval system came into being. Based on information platforms such as the Internet, big data network and cloud computing, intelligent retrieval technology classifies and integrates English slang and develops an "English slang translation retrieval system", which greatly reduces the search cost of users and provides convenience for English learners and cross-cultural communicators.
Research on Risk Assessment of Vietnam EPC Wind Power Projects based on Fuzzy Analytic Hierarchy Process
Authors: Trinh Thi Linh
Published: June 2024

In the context of burgeoning renewable energy initiatives worldwide, wind power projects have emerged as pivotal players in the realm of clean energy. This is particularly pronounced in emerging markets like Vietnam, where rapid economic growth and escalating energy demands have spurred a surge in wind power endeavors. Focusing on the risk landscape of Engineering, Procurement, and Construction (EPC) wind power projects in Vietnam, this study endeavors to pinpoint and evaluate key risk factors impacting project execution while proposing tailored risk mitigation strategies. Through exhaustive literature reviews and consultations with industry experts, 18 principal risk factors spanning policy, social dynamics, natural conditions, and construction management were identified. Through the Fuzzy Analytic Hierarchy Process (FAHP) for quantitative evaluation, the study quantifies the impact of risk factors, ultimately determining a moderate overall risk level for a selected 130MW onshore wind farm project in Vietnam. Subsequent to risk assessment, the study advocates for a suite of responsive measures aimed at guiding project management teams in navigating operational challenges, encompassing strategies like enhanced stakeholder communication, financial risk hedging, shared risk allocation, and fortified contract management.
Risk Mitigation Strategies in the Post-Pandemic Supply Chain Era: A Case Study of Food Cold Chain Logistics (FCCL)
Authors: Gui Yuyang
Published: June 2024

The COVID-19 outbreak has had great impacts on traditional trading activities and lifestyles. More and more consumers choose to shop on online platforms, which requires more efficient management of supply chains. Sellers face real problems, such as maintaining a stable and reliable supply chain and avoiding the risk of supply chain disruption. There has been some research on supply chains, but they mainly focus on upgrades, digitalization, business collaboration efficiency improvement, etc. Few have paid attention to the causes of supply chain disruption and how to avoid the risk. In this regard, this article aims to summarize the actual risks that can be found in the operation of a supply chain, taking a cold chain in the food supply as an example, in the background of the digital economy, and to put forward some ideas and suggestions for avoiding such risks. The research presented in this article will help to reveal the potential risks of supply chain disruption and provide some inspiration for improving the resilience and anti-risk capabilities of the supply chain.
The Influence of Cultural Difference Cognition on the Entrepreneurship Process of International Students in China
Authors: Sytdyhov Begench
Published: June 2024

This study focuses on the entrepreneurial activities of Chinese students studying abroad, and explores in depth the impact of cultural differences on the entrepreneurial process of international students. Through literature review and theoretical analysis, a theoretical model was constructed to investigate the impact of cultural differences among international students on the entrepreneurial process. This reveals the significant impact of cultural differences on the entrepreneurial process of international students, providing useful insights for them to overcome cultural differences and smoothly carry out entrepreneurial activities. International students can enhance their awareness of cultural differences, explore unique business perspectives and innovative inspirations in the market, and utilize economic and social differences to seek opportunities for cross-border entrepreneurship. At the same time, universities and all sectors of society should also pay attention to entrepreneurship education for international students, provide necessary support and guidance, and promote the healthy development of entrepreneurial activities for international students.
Comparative Study on Economic Benefit Evaluation Methods for Power Transmission and Transformation Construction Projects Under DB Mode
Authors: Ye Minquan , Xiao Fangshun , Liu Mengzhe , Zhu Xuemei
Published: June 2024

By introducing and comparing the commonly used economic benefit evaluation methods for power transmission and transformation construction projects under the Design and Build(DB) mode, the paper investigates which method should be used for different purposes of economic benefit evaluation. On this basis, the advantages and disadvantages of these methods and their application conditions have been discussed in depth so as to provide useful references for the economic evaluation work.
Integration of In-Class and Extracurricular English Reading in Elementary Schools under the "Double Reduction" Policy
Authors: Chen Qinxuan
Published: June 2024

In the context of the full implementation of the "Double Reduction" policy, elementary English teachers are urged to update their teaching concepts and methods in the daily teaching process. The goal is not only to help reduce the burden of learning English knowledge for elementary students but also to alleviate their psychological stress. Traditional teaching methods, which are relatively outdated, have not been successful in extricating elementary students from the heavy academic workload. This requires elementary English teachers to focus on cultivating students' abilities to learn English theoretical knowledge efficiently within the limited teaching time and to enhance their practical skills. English reading instruction is a crucial component of elementary education. To ensure the practical implementation aligns with the requirements of the "Double Reduction" policy, teachers need to develop comprehensive teaching plans that integrate in-class and extracurricular reading. This approach aims to guide students correctly in learning English and to boost their enthusiasm for learning, thereby enabling them to master English knowledge precisely within a limited time. This paper explores the importance of integrating in-class and extracurricular English reading in elementary schools and discusses how to effectively carry out this teaching method under the "Double Reduction" policy.
Integration of Reinforcement Learning and Deep Learning in Path Planning Games
Authors: Li Xinjian
Published: June 2024

This paper explores the dynamic intersection of Reinforcement Learning (RL) and Deep Learning (DL), emphasizing their collaborative strength in the realm of Deep Reinforcement Learning (DRL). The fusion of RL's strategy optimization through agent-environment interactions and DL's advanced perception and decision-making abilities results in DRL's powerful framework. This framework is extensively utilized to tackle intricate decision-making challenges across diverse fields. The paper begins by laying a solid theoretical foundation, explaining the core principles of both reinforcement learning and deep learning, and highlighting their synergistic potential. Further, the focus shifts to the practical implementation of the Deep Q Network (DQN) algorithm, particularly in the context of elementary path analysis problems. This segment starts with an accessible introduction to deep neural networks, paving the way for a deeper understanding of DQN. It then explores key aspects such as the utilization and accumulation of experiences, a critical component of the learning process in DRL. Additionally, the paper addresses the inherent limitations of the DQN algorithm, suggesting avenues for potential improvements and enhancements.
Acceleration System for Single-Precision Floating-Point Arithmetic Based on IEEE754 Standard
Authors: Yang Junxuan
Published: June 2024

In recent literature, there has been a heightened interest in the algorithms underpinning artificial intelligence. The crux of this research is the integration of these algorithms into embedded systems. Fundamental to these algorithms are arithmetic operations such as addition and multiplication. This study introduces an implementation of single-precision floating-point arithmetic in compliance with the IEEE754 standard. Adopting a modular approach, the system is deconstructed into distinct modules for addition, subtraction, multiplication, and division, each with its own unique implementation. Within an individual module, components such as sign, exponent, and mantissa are distinctly treated. Delving into the mathematical intricacies of the exponent and mantissa allows for the formulation of the subsequent programming. This study proposes a rounding operation to facilitate diverse rounding modes for the data. Advanced techniques such as the over-advancing adder and Zero judgement are employed to enhance the adder's speed, and constructs like Overflow and Error are introduced to evaluate the output data's status in adherence to the IEEE754 standard. Functional tests of the modules were conducted on a designated platform. A timing simulation was performed using ModelSim, corroborating the robust performance of the proposed system.
Design of MoO3 Porous Back Contact for High Efficiency CZTSSe Thin-film Solar Cells
Authors: Zhang Zhilu , Luo Zhengjun , Sun Xudong , Ge Lin , Li Yan
Published: June 2024

The introduction of in-situ anodized MoO3 porous arrays with tailored structural parameters as the rear interface contact has a positive impact on enhancing the solar cell performance. The optimized device efficiency increased from 6.31% to 9.00% (in reference to molybdenum-based cells), resulting in a 32% increase in JSC and a 64% increase in FF. The results indicate that at a 10V oxidation voltage, the MoO3 pore size is relatively larger, facilitating the formation of a well-interpenetrating structure and contact interface with CZTSSe. In turn, assists in carrier interface separation and transfer, effectively suppressing the recombination of separated carriers. It extends carrier lifetime, reduces band tailing effects, and lowers urbach energy, thus improving the overall performance of CZTSSe devices.
Returning to One's Hometown for Employment: A New Option for "Homecoming" Students
Authors: Feng Xiaolong
Published: June 2024

With the increasing number of graduates year after year, the difficulties of working and living in first-tier cities are also on the rise. Returning to one's hometown for employment has emerged as an alternative option for graduates. By examining the characteristics of this trend, this paper analyzes the factors influencing graduates' decisions to return home for work, including local sentiment, hometown return policies, and levels of development. Furthermore, it provides insights into choosing a university location based on employment opportunities and pressures, quality of life and cost of living, as well as the sense of regional belonging.
Workspace solution of 6-DOF mechanical platform based on imaginary support
Authors: Li Yuzhou
Published: June 2024

In this paper, by analyzing the farthest and nearest critical conditions that the platform center can reach on a 6-DOF mechanical platform, the maximum space area that the platform center can move to, that is, the working space, is studied. In this paper, through mechanism analysis, the above platform moves along the direction of the actual support, the three-dimensional model is converted into a two-dimensional plane model by selecting a section, and the respective constraints under five different motion processes are analyzed. Then, the degree of freedom is reduced by defining the unknown, the coordinates of the center of the platform are solved, and the function image is obtained. Then, the concept of "imaginary support" is introduced to ensure the consistency of the model. Finally, the maximum space region that the center of the platform can move to on the 6-DOF mechanical platform is roughly shaped as a quasi-hemispherical structure with symmetry. The working space of the platform center on the 6-DOF mechanical platform obtained in this paper is relatively simple and the model is unified, which can provide data and scientific reference for the manufacture of related instruments in the field of mechanical manufacturing.
Unveiling the Mental Toughness and Performance Resilience of Table Tennis Athletes
Authors: Guo Zhen , Chang Liza
Published: June 2024

This study examined the psychological resilience and mental fortitude of Chinese table tennis athletes, specifically analyzing their demographic characteristics. The sample comprised predominantly of athletes aged 18 to 24, with a majority of female participants and a notable proportion having less than one year of expertise in the sport. Athletes assessed their mental toughness dimensions, such as commitment, control, confidence, and challenge, as being of average level. Noticeable disparities in mental resilience evaluations were noted among various age cohorts, genders, and levels of professional expertise. In terms of age, athletes between the ages of 18 and 24 demonstrated greater dedication and self-regulation, whereas female athletes had higher levels of confidence and dedication. The performance resilience tests indicated that the scores were moderate to slightly above average in many categories, indicating a well-balanced impression of their skills to withstand challenges. Significantly, the components of performance resilience, including awareness, physiology, emotions, and mastery, exhibited notable variations depending on age, gender, and years of experience. Moreover, a significant correlation was discovered between the characteristics of mental toughness and the ability to bounce back from setbacks, underscoring the significance of mental conditioning in improving athletes' capacity to surmount challenges and attain peak performance. These findings highlight the necessity of customized mental training programs to improve psychological resilience and performance among Chinese table tennis athletes. When developing interventions, coaches and sports psychologists should take into account the age, gender, and level of experience of players.
Research on the Optimization Strategy of Last-Mile Distribution under the E-Commerce Logistics Model
Authors: Niu Haohan , Jia Jiyuan , He Yunqi
Published: June 2024

With the rapid development of e-commerce, last-mile delivery, as a key link in e-commerce logistics, is essential to provide efficient and punctual delivery services. This study aims to explore the optimization strategy of last-mile delivery under the e-commerce logistics model to improve delivery efficiency, reduce costs, and provide a better user experience. This study adopts the method of literature review and case analysis, combined with the actual e-commerce logistics operation, to conduct an in-depth study on the problem of last-mile delivery.
Financial Asset Allocation and Fertility Intention: Evidence from Chinese Families Using CFPS Data
Authors: Yan Jiali
Published: June 2024

China faces a structural-demographic crisis characterized by low fertility rates, an aging population, and ecological imbalances. Despite policy interventions, fertility intentions remain a concern. This study explores the complex relationship between household financial asset allocation and fertility intentions using CFPS data. The findings reveal a significant negative association between investing in financial products, total financial assets, and fertility intentions. Urban-rural disparities, gender differences, and educational gradients further shape this relationship. Mechanism analysis suggests that while financial assets boost income, they also influence households towards smaller family sizes, reflecting changing societal values.
Pedagogical Reform in Applied Chemical Technology in Shaanxi Province, China
Authors: Li Yang , Ramir S. Austria
Published: June 2024

China is vigorously developing higher vocational education, and cultivating high-skilled and high-quality compound talents is the goal of higher vocational education. The Applied Chemical Technology major offered by Shaanxi Polytechnic Institute is a typical three-year higher vocational major. In order to better achieve the goal of professional talent training, it is necessary to carry out pedagogical reform for the major of Applied Chemical Technology. Therefore, the pedagogical reform of Applied Chemical Technology needs to explore a suitable teaching mode according to the characteristics of vocational education itself, according to the teaching content, teaching resources, teaching objectives and teaching effects to be achieved in each course.
Application of Functional Analysis in Solving River Crossing Problems under Dynamic Water Flow Conditions
Authors: Zhang Zhe
Published: June 2024

Considering the urgent need for efficient and safe river crossing strategies in natural disaster relief and outdoor sports, in-depth research on river crossing strategies based on mathematical modeling and optimization theory is of great significance for improving river crossing safety and efficiency and guiding practical operations in related fields. Aiming at the goal of "rushing across the Yangtze River", based on the variational method and functional analysis theory, the Hamilton-Lagrange multiplier method is used to solve the constrained functional extremum problem. By solving the Euler equation, a universal continuous-time optimal control model is established. Using dichotomy and numerical analysis, the optimal trajectory and direction control law of swimming speed is solved, and the optimal path scheme to reach the endpoint is proposed, which contributes to the efficiency and safety of river crossing and provides practical suggestions in related fields.
Deformation and Force Analysis of Utility Tunnel joint under Longitudinal Uneven Foundation
Authors: Zhu Liwen , Zhang Xinsheng , Wu Jinglong , Li Ben
Published: June 2024

To study the regularity of force and deformation of utility tunnels under longitudinal uneven foundations, considering the traffic load, the authors established a finite element model based on pipe-soil interaction to analyze the effect of different working conditions on force and deformation of utility tunnel joints. The results indicated that different stiffness of the foundation can lead to different mechanical properties of the utility tunnel top plate, bottom plate and socket joints. The deformation of the bell joint which on the undisturbed soil and located 2 to 3 sections pipes to the replacement junction changes most obviously, meanwhile, as the longitudinal stiffness difference increases, the maximum horizontal opening on the top plate shifts closer to the replacement junction, and the maximum opening up to 3.561mm; the phenomenon of axial stress below the waterproof requirement exists in the interface of the top plate on the undisturbed soil and the interface of the bottom plate on the replacement soil at the difference in stiffness of the foundation is greater; the maximum differential settlement of joint is located the first corridor interface to the replacement junction which on the undisturbed soil, that is characterized by ‘decreasing from the replacement junction to both sides’.
Preface: 5th International Conference on Electronic Science and Automation Control (ESAC 2024)
Authors: Alerander Martina , Tong Yang
Published: June 2024

The 2024 5th International Conference on Electronic Science and Automation Control (ESAC 2024) was held during January 27-28, 2024 in Bangkok, Thailand. The objective of this conference was to provide a common platform to engineers, practitioners, scientists and researchers across the globe for exchanging their knowledge and views to deal with global challenges. The theme of this conference was not only the fundamental technology in the fields of electronic science, information technology, signal processing, communication technology, mechanical automation, and control technology, but also can change our society by exploring new horizons and continuous progress.
This scientific event brings together more than 60 national and international researchers. The conference model was divided into three sessions, including keynote sessions, presentations and Q&A discussion. All accepted papers were strictly selected based on originality, significance, relevance, and contribution to the area after being peer-reviewed.
We would like to acknowledge all of those who supported ESAC 2024. The help and contribution of each individual and institution was instrumental in the success of the conference.
The ESAC Scientific Committee
Bangkok, Thailand
Research on Stock Price Prediction Model Based on LSTM
Authors: Nie Junrong
Published: June 2024

Stock prices are a non-linear, long-term series of data. The research topic of this paper is to use the Long Short-Term Memory Network (LSTM) model to analyze the historical stock price data of BYD (BYD) to predict the future stock price trend, and to provide intelligent reference for investors by evaluating the model performance, aiming to improve the accuracy of stock price prediction. The accuracy and consistency of stock price prediction can be increased by using this method, which successfully takes advantage of the time characteristics in historical data. After explaining the idea and architecture of LSTM, this article creates a stock price prediction model based on it, using Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) as evaluation metrics. At the same time, network structures with different layers were designed to verify the effectiveness of the model, and the experimental results were shown. The advantages and limitations of the model are highlighted, and the feasibility of deep learning in the stock financial market and the credibility and advantages of strategic decision-making are demonstrated.
Artificial Intelligence Background Corporate Financial Management Transformation Study
Authors: Hu Huijie
Published: June 2024

This paper aims to explore the trends of corporate financial management transformation under the backdrop of Artificial Intelligence (AI). With the rapid development of AI technology, corporate financial management is facing unprecedented opportunities and challenges. Through an in-depth analysis of the basic concepts, key technologies, and application cases of AI technology in financial management, this paper reveals the revolutionary impact of AI technology on financial management. Combined with practical cases, this paper discusses the success factors and challenges faced in the AI-driven financial management transformation process, including issues such as data privacy protection and human resources training. Finally, this paper outlines the future development trends of AI in financial management, including more intelligent decision support systems, and the widespread application of blockchain technology in the financial sector. Through this research, it is hoped to provide practical guidance and decision support for enterprise leaders and decision-makers on how to effectively utilize AI technology to optimize financial management.
A Study Based on the Factors Influencing Irrational Consumption
Authors: Li Wenyi
Published: June 2024

It is becoming increasingly common to conduct research on irrational consumption as one of the predominant topics of research nowadays. There is growing awareness of the development of smart consumption among scholars, but there are no comprehensive theories to explain how to influence people to make irrational purchases decisions, although researchers have identified this phenomenon. This study is therefore intended to synthesize previous findings and offer targeted recommendations by utilizing the findings of previous studies. That is why as part of this investigation, we collected and evaluated relevant past research that was conducted so as to determine which factors result in unhealthy consumption decisions. According to the research, a few external factors would have an impact on a consumer's frequency of consumption in addition to their own personal experiences when it came to the frequency of consumption. The use of ethical marketing will increasingly become the norm, with customers rationalizing their excess consumption in the context of reinterpreting the meaning of the marketing messages as a result of ethical marketing.
Credit Issues and Regulatory Strategies in Platform Economy
Authors: Wei Zhixin
Published: June 2024

Platform economy is an important part of digital economy. With rapid development in recent years, platform economy has a series problem which has definitely hindered the normal operation of platform economy because of lax supervision of regulators. It's necessary to focus on building regulatory strategies: platform enterprise credit file, platform enterprise credit evaluation system, platform enterprise access mechanism and platform enterprise exit mechanism to realize the healthy and sustainable development of platform economy.
Situational Leadership Practices of Higher Education in China as Correlates to Organizational Commitment
Authors: Liao Junjie
Published: June 2024

This study delves into the relationship between situational leadership practices and the organizational commitment of faculty members within Chinese higher education institutions. Through a survey and in-depth interviews with 352 in-service teachers from three universities in Jiangxi Province, this research collected data on situational leadership practices and organizational commitment. The findings indicate that the seven dimensions of situational leadership practices—supportive behavior, leadership behavior, members' maturity level, teaching guidance behavior, academic exchange and collaboration, personal growth and self-management, and technology application—are significantly and positively correlated with the organizational commitment of faculty members. Specifically, supportive behavior and leadership behavior play a crucial role in enhancing the affective commitment, continuance commitment, and normative commitment of faculty members. Additionally, the study discovered significant differences in the situational leadership practices related to academic exchange and collaboration among teachers from different academic backgrounds. This research underscores the pivotal role of situational leadership in enhancing the organizational commitment of faculty members and the effectiveness of higher education institutions, and it offers targeted suggestions for improvement.
Petrarch's Love for Laura: Compare to Qu Yuan's Vanilla Beauty
Authors: Song Zixuan
Published: June 2024

The "Love for Laura" condensed in Petrarch's Canzoniere is a rare story in the history of literature, and to his lifelong love "Laura", whom he could not love, it is worthwhile to explore the spiritual implication under it; similarly, in the history of classical Chinese literature, there are a large number of literati who share the same ideal bitterness with him, represented by Qu Yuan. Qu Yuan's use of "Vanilla Beauty (vanilla represents all fragrant herbs and flowers)", which was to express his political bitterness and personal feelings, is a precedent of a cultural tradition. The purpose of this paper is to deeply interpret Petrarch's "Love for Laura" and Qu Yuan's "Vanilla Beauty" as ideal archetypes and to analyse and compare them from a comparative literary perspective. Laura is a kind of deified imagery, and "Vanilla Beauty" is also a symbol, a collection of characteristics; but "Vanilla Beauty" in the history of classical Chinese literature opened up a precedent for literati to use things to symbolise their dreams of returning to politics and to a certain extent opened up a tradition of literature. There are certainly similarities between them, but they are fundamentally different because of the differences in social systems and cultural traditions.
Storage and Data Processing Technology in the Era of Information Explosion: from Traditional to Edge Computing
Authors: Lin Longhan
Published: June 2024

Data-intensive IoT gradually occupying the market, and efficient and reliable storage algorithms of signals and information are becoming increasingly important. The old-era storage algorithms no longer meet the needs of digital and intelligent cloud storage due to large space usage and low operating efficiency. One of the important topics in IoT cloud computing is to find a turning point from traditional storage methods to develop data-intensive and efficient storage methods. This research analyzed the principles, features, advantages, and disadvantages of many classic storage algorithms, including RS code, EVENODD code, Pyramid code, etc. It is to find storage algorithms suitable with higher storage efficiency in the IoT. Finally, Pyramid code is leading in data recovery efficiency and scalability and is suitable for higher and faster storage needs of the IoT. However, the shortcoming of Pyramid code also has challenges in the large number of failures that occur, due to its slower recovery speed.
Can the Establishment of Free Trade Zones Promote Carbon Emission Reduction? ----Based on Multi-period Double Difference Model
Authors: Wu Sunishan , Chen Yining
Published: June 2024

As the Shanghai Free Trade Zone (FTZ) celebrates its 10th anniversary, it is crucial to examine the impact of the FTZ's construction on regional carbon emissions under the dual carbon targets of carbon neutrality and carbon peaking. Based on panel data from 282 prefecture-level cities between 2006 and 2021, this article aims to provide insight into the impact of the Free Trade Zone (FTZ) pilot policy on urban carbon dioxide emissions levels. By constructing a difference-in-differences (DID) model, this study aims to investigate the effects of the Free Trade Zone (FTZ) policy on carbon emission reduction. In order to perform a mechanism test, two more mechanistic variables—namely, technical advancement and upgrading of the industrial structure—are incorporated. According to the findings from experiments, the policy of free trade zones can effectively reduce carbon emissions from urban areas. This is primarily achieved by optimizing the industrial structure and scientific and technological mechanisms.
Banks and Financial Institutions: Assessment of Risk Management Strategies
Authors: Qin Yimeng
Published: June 2024

Taking the banking sector as a perspective, this article comprehensively analyzes risk management from four perspectives: liquidity, credit, market, and systemic risk. This paper points out that banks need to closely monitor these risks and ensure their stability and continuity of operations during the epidemic through effective risk management measures. In terms of liquidity risk, banks need to ensure adequate liquidity reserves and maintain funding flexibility through the establishment of an effective management framework and regular stress tests. The key to controlling credit risk lies in rigorous credit review and assessment to ensure that loans are in line with sustainability and repayment capacity. It requires active risk hedging strategies to reduce the market volatility shock to the portfolio by countering market risk. Systemic risk is guarded against by complying with regulations, maintaining adequate capital buffers, and cooperating with regulators. The further research could delve into specific programs to combat these risks.
The Impact of COVID-19 on Different Human Systems and Related Research Progress
Authors: Zhou Chen
Published: June 2024

The coronavirus, also known as SARS-COVID-19 was a global pandemic that created an enormous impact on the world. Some of which include the economy, isolation for long periods of time, and most importantly the health of the people. The COVID-19 has created long term effects on the central nervous system (CNS), respiratory system, and digestive system. The virus's major target is the respiratory system, with symptoms similar to a sinus infection, which causes serious respiratory disorders including pneumonia, ARDS, and sepsis, which can cause considerable damage to the body. Central nervous system damage may result in delirium, the three types of this are hyperactive, hypoactive, and mixed. In addition, some patients mainly present with digestive symptoms such as diarrhea, loss of appetite and so on. Currently, there are many ways to intervene and prevent the disease. This is achievable through following COVID-19 safety measures, so the disease won’t further spread.  While there are still many challenges and shortages when it comes to COVID-19. Some of which include shortages with a weak healthcare system, research difficulties, healthcare equities, and vaccines. This paper mainly discusses the relationship between COVID-19 and different systemic diseases, and provides new ideas for finding effective prevention with different systems in the future.
Wave-driven Friction Nanogenerator Based on PDMS/Fe3O4 Composite Nanomaterials
Authors: Yin Zhirao , Sun Rui , Zhang Qianyong , Zhao Chun , Niu Tianxiang , Wang Chenglei
Published: June 2024

Wave energy is a widely available renewable energy source with a lot of potential for self-powered sensing applications. However, wave energy density is low, and most wave sources in the natural environment are low- to medium-frequency wave sources. In order to improve the collection efficiency of wave energy in low and medium frequency bands, a wave-driven overlapping cube friction nanogenerator (OC-TENG) based on polydimethylsiloxane/ triiron tetroxide (PDMS/Fe3O4) composite nanofilm materials is designed. PDMS/Fe3O4 composite nanomaterials as the negative friction layer, polyamide 11 (PA11) as the positive friction layer, and copper foil (Cu) as the electrode, combined with the overlapping cube structure. With varying wave frequencies, the OC-TENG can produce peak voltages between 57.35 and 86.32 volts as well as short-circuit currents between 4.61 and 9.83 μA, significant improvement over pure PDMS-based TENG at the same wave frequency. Due to its extremely effective wave-to-electricity conversion properties in the low and medium frequency ranges, the OC-TENG might be used as a low-power device power source.
Exploring the Influence of the Project-Based Learning Strategy on G9 Students' Motivation to Learn Academic Writing in a Beijing International School
Authors: Liu Xinlei
Published: June 2024

This study investigates the impact of project-based learning (PBL) strategies on high school students' motivation to learn academic writing. Employing a mixed-methods approach, the research spanned two weeks. Quantitative data was collected using. Kempler's (2006) adaptation of the Internal Motivation Measurement Survey. Qualitative data was gathered through an open-ended questionnaire exploring intrinsic motivation, extrinsic motivation, and self-efficacy components. Descriptive analyses were conducted on motivation and self-efficacy measures. The findings revealed a lack of motivation among students in their traditional academic writing class, suggesting a need for pedagogical change to enhance student engagement. Additionally, interviews and classroom observations highlighted the importance of careful design and planning when implementing PBL strategies in an academic writing course.
Impact of digital economy development on labor force employment
Authors: Ma Yilin
Published: June 2024

Since the first year of the commercial application of big data, the digital economy has become an important driving force for global economic development and has had a huge impact on the labor employment market. This paper aims to explore how the development of the digital economy reshapes the employment pattern of the labor market. By analyzing the core features of the digital economy, which is highly informative, networked, and intelligent, it reveals the dual effects of the digital economy on the total and structural employment of the workforce and puts forward policy recommendations to address the employment challenges posed by the digital economy. The study finds that, on the one hand, the application of automation technology and artificial intelligence has reduced the demand for traditional low-skilled labor, triggering employment reductions in some industries; on the other hand, emerging digital technologies have created new career opportunities, especially in the fields of data analysis, software development, and digital marketing, which have brought more employment opportunities for high-skilled labor. In addition, the digital economy has given rise to numerous flexible forms of employment.
Examining the Influence of Psychological Factors Toward Positive Outlook on Health: Basis for Physical Fitness Behavior Model for Adolescents
Authors: Song Xiangxiang
Published: June 2024

The researcher examined the psychological factors that influences the physical fitness behavior of adolescents in terms of predisposing factors, enabling factors and reinforcing factors. It also assessed how these factors affect the level of exercise behavior as regards to knowledge, attitude and practice. Data were collected using a self-made survey questionnaire subjected to reliability testing and validation. Data revealed that psychological factors such as predisposing, enabling and reinforcing factors are influential to physical fitness behaviors. Additionally, factors such as knowledge, attitude and practice is affects exercise behavior as to great extent. Hence, as perceived by the respondents, there is “very strong positive correlation” between psychological factors and the level of exercise behavior among adolescents. Results served as a basis for the formulation of physical fitness behavior for a better and positive outlook among adolescents.
Exploration on the Application of Digital Gamification Learning in Second Language Education
Authors: He Min
Published: June 2024

This paper aims to explore the application of digital gamification learning in second language education. As a popular educational tool, digital games are interactive, interesting and motivating, and are widely used in the field of language education. This article first introduces the advantages of digital games in education, and then discusses the importance and benefits of digital game learning in second language education. Next, the paper discusses the design principles and methods of digital gamification learning, and puts forward some relevant implementation strategies. Finally, it summarizes the application prospects and challenges of digital game-based learning in second language education. This research aims to inspire teachers and deeply explore the effective application of digital gamification learning in second language education, so as to improve students' language learning effect and interest.
Research on the Influencing Factors of Corporate Credit Default Risk
Authors: Guan Shuyin , Hu Yuang , Xu Ziyi
Published: June 2024

This paper takes corporate financial indicators and the impact of corporate credit risk as the research object. This paper firstly introduces and analyses the relevant literature on enterprise financial indicators and credit risk, then classifies and analyzes the financial indicators of enterprises, and establishes the assessment model of enterprise financial indicators and credit risk on this basis. By analyzing the financial indicators of enterprises, this paper finds that the financial indicators of enterprises, such as quick ratio, cash flow position and net interest, have an important impact on the assessment of enterprise credit risk. Finally, this paper takes most of the enterprises in the world as an example and applies the established assessment model to empirically assess the credit risk of enterprises, and analyses and explains the assessment results. The findings of this paper have certain reference value for enterprises, banks and other institutions in credit risk assessment and decision-making.
Research on Green Supply Chain Decision-Making Considering Consumers' Low Carbon Awareness and Cost Sharing
Authors: Dai Yunjie , Huang Yao
Published: June 2024

With the global vigorous promotion of the development of green economy, advocating the practice of green concept, sustainable development has become a new problem that the world attaches great importance to. This paper considers the factors of consumers ' low-carbon awareness, discusses the pricing decisions in different situations, and looks for the optimal decisions of manufacturers and retailers. It is found that the enhancement of consumers ' low-carbon awareness is conducive to the increase of supply chain profit, and the retailer 's cost sharing ratio can improve the supply chain profit within a certain range.
Deep Ultraviolet Light Emitting Diode Based on Aluminum Gallium Nitride
Authors: Sui Xinyi
Published: June 2024

AlGaN-based deep ultraviolet LED has gradually attracted people's attention, because it can be used in sterilization, secret communication and other fields. According to the research report of nearly twenty years, there are still many shortcomings in the external quantum efficiency, internal quantum efficiency and light extraction efficiency of AlGaN-based deep ultraviolet LED. For this reason, researchers have made many efforts at the chip level, including epitaxial and doping technology. In recent years, more and more researchers have studied packaging technology with low light efficiency caused by Fresnel and total reflection. In epitaxial technology, this paper mainly introduces the material selection of substrate and the use of buffer layer. In this paper, the most commonly used substrate selection and the existing problems and solutions of substrates are summarized. The current process of buffer layer is also introduced. On the doping level, the present situation and development of N-type doping and P-type doping are introduced respectively. The use of the latest doping elements is introduced in this paper. Packaging technology explains the choice between organic materials and inorganic materials, and how the packaging structure can avoid the reflection loss of light to the maximum extent. Finally, the article predicts the future development direction.
Leadership Style and Social Behavior of Social Workers in China
Authors: Wu Liyue
Published: June 2024

This study examined the influence of leadership style on the social behave of social workers across different districts and organizations in China.  The empirical measurement involved the participation of social work stations and associations, which included the Social Workers Association and various district social work stations in Hunan.  The study sample consisted of 488 individuals who were social work learners and professionals.  These participants were picked from various districts and training sites, and they were required to undergo self-evaluation tests.  Findings reveal that while social workers generally exhibit average levels of empathy, professionalism, ethical decision-making, collaboration, and resilience, significant variations exist based on ae and educational background. Older social workers demonstrate higher levels of these traits compared to younger counterparts.  However, barriers such as burnout, limited resources, organizational constraints, and lack of recognition hinder leadership development and positive social behavior. The study seeks to enhance leadership development initiatives and foster positive social behavior in the field of social work in China through a holistic strategy.