bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Extrinsic and Intrinsic Rewards on Employee Satisfaction: Towards a Reward Management Plan
Authors: Wang Caifen , Villanueva Lizelle Eugenio-
Published: June 2024

This study evaluated how extrinsic and intrinsic could potentially impact the levels of employee satisfaction at Y College, in order to suggest inputs for reward management strategies. The study involved 69 non-teaching staff members from Y College, representing the entire population of interest. The researcher employed total enumeration, ensuring ethical standards and rigorous data collection and analysis for all participants involved in the study. The goal of this research was to propose a reward management plan incorporating Herzberg's Two Factor Theory of Motivation that could enhance employee satisfaction. Based on the conclusions derived in this study, the following are the recommendations: (1) Offer flexible work arrangements, considering the significant number of female employees balancing work and family responsibilities. (2) Implement diverse recognition programs alongside cash rewards, including employee of the month awards, team-based incentives, and non-monetary rewards like extra time off or professional development opportunities. (3) Maintain consistency and transparency in reward systems across all employees, irrespective of demographic variables. (4) Foster a culture of appreciation by celebrating achievements, milestones, and performance -based incentives. (5) Address gender gaps in job satisfaction through gender-sensitive policies, support resources, diversity promotion, regular monitoring, training, and leadership commitment to gender equality. (6) Align reward systems with organizational objectives and values, acknowledging individual preferences and career goals. (7) Adopt the proposed Rewards Management Plan to integrate both hygiene and motivator factors, optimizing intrinsic and extrinsic rewards for enhanced employee satisfaction.
Simulation and Analysis of Temperature and Pressure Fields in the Wellbore of Self-Injection Well
Authors: Zhang Bao , Jing Hongtao , Wang Chongfeng , Yu Xiaotong , Yang Zhongwu , Li Wei , Zhang Yinglin
Published: June 2024

Aiming at the problem of wellbore waxing in high-temperature, high-pressure and highly-waxed deep gas condensate reservoirs, a wellbore temperature/pressure field prediction model for self-injection wells was established with the site parameters of the Bozi gas condensate field in the Tarim Basin of China using the OLGA software. With the help of the parameters of example wells on site in the Bozi, wellbore temperature and pressure in the process of gas extraction from 10 self-injector wells were predicted, and the following findings were obtained: the temperature decreases gradually in the process of condensate gas well lifting, and the slopes of the temperature profile shown an overall The overall slope of the temperature profile shown a trend of gradually becoming larger, indicating that the temperature drop was increasing, and the single wells in the block reflect similar wellbore temperature profile characteristics. During the lifting process, the pressure gradually decreases, and the slope of the pressure profile does not change significantly, indicating that the pressure drop along the way was relatively constant, and the single wells in the block reflect similar wellbore pressure field distribution characteristics. Combining the temperature gradient and pressure gradient interpretation data of different wells and time interfering test wells in Bozi, and using them as the basis for temperature and pressure profile regression, the above 10 condensate wells in Bozi block were classified according to different temperatures and pressures, and the temperature and pressure profiles were regressed and fitted to fit the actual working conditions, which lays a data basis for the analysis of wax formation in the example wells in Bozi.
Numerical Investigation of Guide Vane Hydraulic Torque Characteristics of a Pump Turbine in Pump Mode
Authors: Hu Haiping , Xia Ming , Qiao Mu , Zhao Weiqiang , Wang Jiaze , Wang Zhengwei
Published: June 2024

This study performs numerical simulations to investigate the hydraulic torque characteristics of a pump turbine at different guide vane openings in pump mode. The SST k-ω turbulence model is utilized to simulate the flow field at guide vane angles from 1° to 21°. The simulation results reveal that the overall hydraulic torque shows a decreasing trend as guide vane opening increases. However, significant asymmetry of hydraulic torque exists among different guide vanes at certain openings. This asymmetry highly correlates with the large vibration observed during pump start-up in the field test. By analysing pressure contours and velocity streamlines at openings of 3°, 9° and 17°, the causes for torque asymmetry are explored in depth. The primary factors are identified as circumferential flow non-uniformity, distinct flow discharge tendencies between boundary guide vanes, and reverse flow towards upstream stay vanes. The research findings provide important insights into the hydraulic torque characteristics of pump turbines at off-design conditions, and offer valuable guidance for the optimal design and stable operation of pump turbines in pump mode.
Research on Personnel Scheduling Optimization in Logistics Sorting Centers Based on Linear Programming and Heuristic Algorithms
Authors: Tian Zhiwei
Published: June 2024

With the rapid development of the logistics industry, the efficient operation of logistics sorting centers is crucial to the entire supply chain's efficiency. Staff scheduling, as a key aspect of the daily operations of sorting centers, directly impacts the control of labor costs and the job satisfaction of employees. To address the scheduling problem and enhance operational efficiency, this study proposes a personnel scheduling optimization model for logistics sorting centers based on linear programming and heuristic algorithms. Firstly, this paper analyzes the sorting center's cargo volume data and staffing requirements, clarifying the goal of scheduling optimization to meet workload demands while minimizing the total number of workdays, taking into account the different characteristics of regular and temporary workers, as well as legal regulations on working hours. Subsequently, a standard linear programming model is constructed, with the number of regular and temporary workers for each shift of every day as decision variables, to minimize the total workdays through linear optimization. However, due to the expansion of the problem scale, the solution time for the linear programming model has increased significantly. Therefore, a heuristic search algorithm is introduced to find an approximate optimal solution. Ultimately, through the analysis of actual cases, the effectiveness and practicality of the proposed model and algorithm are verified. This study's research not only provides a new method for personnel scheduling optimization in logistics sorting centers but also offers a reference for other industries requiring personnel scheduling optimization. Future research can further explore the applicability of the model in sorting centers of different scales.
Accounting treatment and impact of gambling agreement in Lianchuang Co., LTD
Authors: Zhang Han
Published: June 2024

With the full entry of China's capital market into the registration system, the merger and acquisition activities of listed companies will become more and more market-oriented. In order to reduce the transaction risk of the two parties, the listed companies will often attach a gambling agreement in the merger and acquisition business. This paper adopts the case study method, with Shandong Lianchuang Internet Media Co., Ltd. acquired Shanghai Pan Investment Network Technology Co., Ltd. as the research object, and the analysis of Lianchuang Company in 2017-2020 accounting treatment. Summing up the current business accounting standards related to the gambling agreement accounting treatment facing the dilemma. It can be seen from the accounting treatment of contingent consideration that there are still some misunderstandings in the listed companies' understanding of contingent consideration, which reflects the lack of professionalism in the accounting treatment regulations related to the gambling agreement.
The Recurrence and Transience of Random Walks
Authors: Liu Jiachen
Published: June 2024

This article reviews the research history and application fields of random walks and abstracts random walks into a time-homogeneous Markov chain to study their recurrent and transient properties. For one-dimensional and two-dimensional random walks, the likelihood of returning in  steps and the probability of returning for the first time in  steps of each state are first introduced, along with their relationship. Then the Stirling's formula is given, which is utilized to estimate the probability of returning in n steps, and the convergence and divergence of infinite series is used to prove that random walk in one dimension is recurrent. Random walk in two dimension has similar properties, which is a bit more complicated by using the relation between polynomials. Higher dimensional random walks need to consider special states first, and then generalize them to other states. Finally, this paper concluded that one-dimensional and two-dimensional random walks are recurrent, and random walks with dimensions higher than two are transient.
Research on the Impact Effect of Digital Finance on the Development of Low Carbon Economy
Authors: Yang Xi
Published: June 2024

The report of the 20th Party Congress pointed out that “promoting the greening and low-carbonization of economic and social development is the key link to achieve high-quality development”, and steadily promoting carbon peak and carbon neutral work is the proper meaning of promoting the development of low-carbon economy. Digital finance, as a fusion of digital technology and financial business, can form a long-term mechanism of governance of pollution, so the study of the impact of digital finance on the development of China's low-carbon economy has certain theoretical value and practical significance. Based on the panel dataset of 30 provinces from 2011 to 2021, this paper constructs a benchmark regression model and a mediation effect model to analyze the impact effect of digital finance on the development of low-carbon economy, and based on the theoretical analysis and the empirical results, it provides referable policy suggestions for promoting the development of low-carbon economy.
Optimizing Search and Rescue Strategies for Deep-Sea Submersibles Using the Monte Carlo Method
Authors: Wei Yuejie , Ye Yuxuan , Yang Xuankun
Published: June 2024

Deep-sea exploration is an important field where humans challenge the limits of nature. Improving its safety and efficiency is of great significance to deep-sea scientific research and resource development. In response to this, this study established a Monte Carlo-based motion model to predict the location of the crashed submersible. To truly simulate the distress environment of the submersible, this study introduced the Monte Carlo method to randomly generate 2,000 particles to reflect the uncertainty of the initial distress location, ocean current direction, and seawater density. Finally, it was combined with a six-degree-of-freedom kinematic model to generate All possible time-varying trajectories. This study also compared the effects before and after using the corresponding equipment and found that the equipment has a good effect on reducing uncertainties. This paper expands the field focused on floating objects on the sea surface to the search for underwater targets.
The Application of Nanomaterials in Medicine
Authors: Yu Zihao
Published: June 2024

With the advancement of nanotechnology, an increasing array of nanomaterials is being applied in the field of medicine, leveraging their unique size-related characteristics for various purposes including treatment and disease detection. This article aims to summarize the current applications of nanomaterials in medicine, delving into an in-depth exploration and summary of four specific types of materials including nano-biomaterials, nanocomposites, nanometal particles, and nanoporous materials, focusing on their functionality, characteristics, and prospects for development. This article intends to foster further advancement of nanomaterials in the medical field by summarizing their medical applications and encouraging cross-disciplinary inspiration and new ideas. This could lead to the development of more cost-effective and efficient nanomaterial applications in medicine, benefiting a broader range of patients. It is hoped that in the future, nanomaterials will enter a phase of rapid development, with reduced costs and expanded applications, gradually transitioning from experimental to practical clinical use.
Advancing Robotic Fruit Picking: Adaptive End-Effector Approach
Authors: An Chengxiuye
Published: June 2024

In modern agriculture, the demand for efficient fruit picking methods is constantly increasing due to labor shortages and the need to improve productivity. Traditional fruit picking methods often rely on manual labor, which is labor-intensive, time-consuming, and prone to inconsistency. This study aims to develop a novel end effector for agricultural fruit picking robots, which improves the efficiency and accuracy of fruit picking through highly flexible and adaptive design. It can effectively handle fruits of diverse types, shapes, and hardness. By adopting a three-finger scheme and independent servo motor control, the simulated movements of human hands are realized. Shape memory alloy (SMA) and electroactive polymer (EAP) as intelligent driving materials, as well as flexible materials such as silicone, are explored to optimize the grip performance and fruit protection of the actuator. High-precision visual and tactile sensors are also integrated to support the accurate identification of fruits of different maturity. The performance of the actuator is evaluated through advanced data analysis techniques, including descriptive statistics, hypothesis testing and regression analysis. The findings suggest that the proposed design optimization measures based on data analysis results can further enhance the adaptability and efficiency of the robot in future applications, thereby addressing the challenges faced in modern agricultural practices and contributing to increased productivity and sustainability in the agriculture sector.
Application and Challenge of CRISPR System to Mitochondrial Genetic Disorders
Authors: Zheng Yang
Published: June 2024

A distinct class of genetic illnesses known as mitochondrial genetic disorders is brought on by genetic mutations in the mitochondrial DNA. The lowest prevalence of mtDNA mutations is 1 in 5,000, leading to mitochondrial genetic disorders for which there are yet no economical diagnostic methods or therapeutic interventions. The CRISPR system is an immune defense system of prokaryotes that can recognize and cut foreign DNA, inhibit the expression of foreign genes, and fend off viral interference. It is because of its precise targeting ability that the CRISPR/Cas system has been transformed into a highly effective gene editing technique. Future treatments for mitochondrial illnesses may benefit from the CRISPR system, as well as the successful development of mitochondrial gene editing instruments. By referring to both domestic and international literature, this paper introduces Crispr/Cas technology and mitochondrial genes, summarizes specific cases of CRISPR system applied to mitochondrial gene, and focuses on the technical limitations of Crispr system for mtDNA modification. There is also discussion of the application prospect of CRISPR system in mtDNA modification. At present, it is found that the main challenge impeding the advancement of mtDNA editing technology within the CRISPR system is the technology for gRNA to gain entry into the mitochondria.
Research on the annual average thermal power of heliostat field in tower solar energy
Authors: Luan Tian , Wang Hongbo , Ren Jinxia , Ren Yujie , Su Hao
Published: June 2024

The concentrating mirror field is a concentrating and heat collecting subsystem in the tower solar thermal power station, and its optical performance directly affects the solar energy utilization efficiency of the power station. In this paper, the coordinate system of heliostat field and single heliostat is established, and the grid division technology is introduced to describe its reflection effect on sunlight and its occlusion. In this paper, the shadow occlusion loss that affects the optical efficiency is divided into three parts, including incident light occlusion loss, reflected light occlusion loss and absorption tower shadow occlusion loss. For any time, the output power of the heliostat near the solar direction is small, while the output power of the heliostat far away from the solar direction is large. Compared with other influencing factors, the cosine loss has the greatest influence on the heliostat field, and the center of the absorption tower installed in the circular heliostat field is obtained. The size of the heliostat is a square with a side length of 6m, the installation height is 4m, and the annual average optical efficiency is 0.6216 when the position of the heliostat is determined. The annual average output thermal power is 36.3958 MW, and the annual average output thermal power per unit mirror area is 0.5794 .
An Overview of Gut Microbiome Studies in Inflammatory Bowel Disease
Authors: Tan Siwei
Published: June 2024

Inflammatory Bowel Disease (IBD) is a complex disorder marked by ongoing inflammation in the gastrointestinal tract. Its intricate connection with the gut's microbial makeup is a significant aspect of its pathology. This detailed investigation delves into the interaction between IBD and gut microbiota, underscoring the crucial role of microbial imbalance in the development of this condition. A thorough comparative examination of the gut microbiota in individuals with and without IBD reveals notable differences. Special attention is given to Short-Chain Fatty Acids (SCFAs) for their influence on intestinal barrier function and immune regulation. The study also assesses the efficacy of microbial intervention strategies like probiotics, prebiotics, Fecal Microbiota Transplantation (FMT), and butyrate supplementation. These findings illuminate the potential of microbiome-focused treatments in reshaping gut flora, pointing to a new direction in IBD management. The paper concludes by proposing a holistic treatment approach that integrates dietary changes with novel therapeutic methods. This research significantly advances our understanding of the gut microbiome's function in IBD, offering novel insights and avenues for more effective management and treatment strategies.
A Low Frequency Power Amplifier Design Based on Output CapacitorLess Circuit
Authors: Ding Xijie , Huang Juan , Zhang Zuoli , Yu Yisen
Published: June 2024

This low-frequency power amplifier utilizes the AT89S51 microcontroller as the main control chip. The system can be divided into several modules: power amplification circuit module, pre-amplification module, band-stop filtering module, protection circuit module, volume control module, power supply voltage, AC voltage, and AC current testing module, A/D conversion module, power module, and single-chip microcomputer subsystem control module. We chose class AB audio power amplifiers. To ensure circuit stability and higher fidelity, we selected the TDA2030 integrated chip to build the OCL power amplifier circuit, preventing efficiency from being too low. Through the control of single-chip microcomputer subsystem, it can measure and display output power, the supply power of the DC power source, and overall efficiency. This system utilizes electronic switches connected with band-stop filters, with the band-stop frequency ranging from 40～60Hz.
Hallidayean Transitivity Analysis: ChatGPT in the Contrasting Headlines of Two National Newspapers
Authors: Chen Keyu
Published: June 2024

Conflicting national media positions are often reflected in the discursive patterns used in news headlines. By using the headlines collected from online articles in the Chinese national daily newspaper China Daily and the American national daily newspaper The New York Times, Halliday’s transitivity analysis is deployed to analyze these processes in the light of critical discourse studies. The study finds that while China Daily holds a moderate attitude toward ChatGPT, The New York Times tends to view this new technology critically. The results also highlight the cultural values and ideologies of the two newspapers from the choices of their news headlines.
Research On the Role and Influencing Factors of Momentum in Tennis Matches Based on Linear Conditional Probability Model and Support Vector Machine
Authors: Zhang Jiadong , Tang Kaifan , Zhu Xuanyi
Published: June 2024

This research investigates the role and influencing factors of momentum in tennis matches using a Linear Conditional Probability Model (LCPM) and Support Vector Machine (SVM). The study begins with data preprocessing to address outliers and standardize scoring notations, followed by an analysis of the momentum's role in tennis, which is defined in relation to consecutive points, games won, and service breaks. The principal component analysis (PCA) is employed to synthesize key factors reflecting momentum, including consecutive scores, untouchable shots, aces, and net points, with a focus on their Markovian properties. A momentum formula is constructed, accounting for the sliding average of scoring differentials and the mutual cancellation of momentum between players. The study further examines the stochasticity of swings in play and runs of success, challenging the notion that these elements are random. The results of the Wald Wolfowitz Run Test and Granger Causality Test indicate that momentum significantly influences the probability of winning points and is not a random phenomenon. A PCA-SVM-SHAP model is developed to predict momentum fluctuations, achieving an 81.26% accuracy rate in the validation set. The model identifies net skills, serving skills, and untouchable shots as the most influential factors on momentum changes. The research extends the model's application to unknown tennis matches and other sports events, demonstrating its generalization ability with varying degrees of accuracy.
Application of Multi-Type Sensor in Target Location: Principle, Method and Application
Authors: Wu Hao
Published: June 2024

With the continuous development of modern society and the continuous improvement of science and technology, precision science and technology put forward more and more high requirements for sensors, in the field of distance sensors, such as industrial manufacturing and aerospace, improve the accuracy of sensors and sensing efficiency has become the direction of scientific and technological development. The purpose of this paper is to emphasize the importance of distance sensors in social applications, while introducing the basic principles of mainstream sensors such as infrared sensors, laser sensors and ultrasonic sensors. The application of multiple laser distance sensors in real 3D space and the physical models of multi-sensor data fusion, such as triangulated laser method and WSN, are described, and the mathematical fusion models are categorized and synthesized. Finally, the fusion experiment of Kalman mathematical model in real multi-sensor distance measurement is presented to verify the fusion effect of Kalman filter. to achieve a deeper and better understanding of distance sensors and sensing disciplines.
Dialogue on Artistic Expression: A Study of Oriental Elements in 19th-Century Impressionism
Authors: Li Jie
Published: June 2024

As one of the most significant art movements in the 19th century, Impressionism broke down conventional boundaries, laying the foundation for today’s artistic styles to flourish. This paper aims to explore the integration of Oriental elements of Impressionism and to reveal the influence of cultural exchange on art movements. The introduction section provides a comprehensive overview of Impressionism, focusing on the research goals that revolve around Oriental aspects. The paper utilises an exhaustive approach, including a literature review, artwork analysis, and examination of historical records, ensuring a thorough exploration of Oriental influences. The structure of this paper acts as a guide for readers, highlighting unique contributions such as exploring little-known Eastern elements and interpreting artworks from new perspectives. By deeply studying the historical background of Impressionism, this paper discusses the interests in Eastern art and its influences on the Western art movement in the 19th century, examines the channels of cultural exchange, and analyses the reception of Oriental elements through case studies. At the same time, the influences of oriental traditions and elements such as brushwork, composition, and calligraphy on the natural depiction, colour application, daily life, symbolism, and character representation of Impressionist paintings are also discussed. In conclusion, this paper summarises the key findings and contributions and emphasises the importance of Oriental elements in Impressionist art.
Exploring Cross-Cultural Learning in Serious Games through Cognitive Strategies
Authors: Mao Yuhao
Published: June 2024

Technological advancements are pushing the boundaries of educational exploration, giving rise to innovative teaching models. Among these, serious games have emerged as a popular choice due to their unique blend of interactivity and educational value. Drawing inspiration from the popular board game “Who’s the Spy,” this article proposes the design of a serious game tailored for language education and cross-cultural learning. This game not only offers an engaging and enjoyable experience but also incorporates diverse cultural elements, enabling learners to enhance their language skills and cross-cultural awareness in a relaxed atmosphere. At the same time, this article will also explore the application of cognitive strategies in serious games, helping learners to organize game content more effectively through strategies such as rehearsal, elaboration, and organization, to enhance learning effectiveness. Through the design and implementation of this serious game, it hopes to provide learners with a novel learning experience that seamlessly integrates language, culture, and technology.
Academic Buoyancy: The Necessary Ability for Teenagers to Succeed in School
Authors: Liu Weiguang
Published: June 2024

With the continuous reform of the education system, the academic problems of teenagers are increasing. In recent years, academic buoyancy has attracted the attention of most scholars. At the same time, it plays a positive role in solving the academic problems of teenagers as the adaptability and coping ability shown by students in the face of academic challenges and difficulties. This paper aims to explore the influence of academic buoyancy on the academic success of adolescents. First, the relevant concepts of academic buoyancy are expounded. Secondly, it introduces the relationship between academic buoyancy, academic emotion, academic achievement and learning engagement. Finally, the author puts forward corresponding strategies to guide teenagers to cope with academic pressure from four aspects: themselves, families, schools and society, which is of great significance for teenagers to improve their academic performance.
Automated Pricing and Replenishment Decisions for Vegetable Products Based on Data Analysis
Authors: Shen Yefan , Zhao Yongkang , Hao Xinwei
Published: June 2024

This study delves into the critical factors for the successful operation of vegetable products supermarkets: efficient inventory management and accurate market demand analysis. Given the perishability of vegetables, their variety, and the complexity of supply chains, a linear regression model and the method of least squares have been developed to estimate model parameters. Additionally, the ARIMA model is utilized to forecast the unit prices of commodities. In a more comprehensive approach, considering various influencing factors, a combinatorial optimization algorithm (integrating linear regression and greedy algorithm) is employed to determine the optimal replenishment strategy. Based on this, the study forecasts the sales volume and unit prices for various categories over the next seven days, and accordingly, establishes the pricing strategy and predicted replenishment volume for each category. The research underscores the necessity for retailers to precisely analyze sales data and market trends, optimize supply chain management, and formulate effective pricing strategies to cope with seasonal variations and limited sales space. These measures are essential to satisfy consumer demand and enhance profitability.
Research On Integrated Charging Station System Based on Photovoltaic Storage and Charging Microgrid
Authors: Liang Mingyin
Published: June 2024

In order to respond to the call of Carbon Peaking and Carbon Neutrality and promote the integrated development of electric vehicles and green energy, this paper puts forward a green charging technology for electric vehicles based on the principle of photovoltaic storage and charging microgrid, specifically introduces the structure of this system, development status and future trend of photovoltaic storage and charging integrated charging station, and analyzes the case of specific projects. This study found that the photovoltaic storage and charging integrated charging station can balance energy production and energy consumption, output more stable external energy, reduce the pressure of the grid effectively, and improve power supply security. At the same time, it can reduce energy costs and improve energy efficiency. In the future, photovoltaic storage and charging integrated station is expected to be applied to business parks, residential communities, and other places on a large scale to achieve energy-saving and emission reduction effects and achieve the transformation of electric vehicle power sources to low-carbon and zero-carbon energy sources.
An Analytical Study on the Logic of Tourism Consumption Policies under the Perspective of Multi-Stream Theory in the Post-Epidemic Era---Taking Harbin City as an Example
Authors: Guo Ziqi
Published: June 2024

In recent years, the tourism industry was one of the first sectors to be seriously affected by the New Crown epidemic. Therefore, in the post-epidemic era, China has introduced a series of policies to promote tourism consumption. Based on a multiple streams perspective, this paper explores the internal logic behind the formulation of tourism consumption policies by taking Harbin City as an example, which involves issues, policies, and political perspectives. The study finds that there are problems, policies, and politics behind the formulation of a policy and the setting of an agenda at the social level. Problem streams such as the single structure of tourism consumption and poor service quality are the main sources of policy change; the research results of experts and scholars are the policy stream of policy change; and social opinion and the direction of national sentiment are the political stream of policy change. The three streams converge at a certain point in time and open the window of policy. To further promote the development and improvement of the tourism consumption market, Harbin City should establish a sense of the problem and adhere to the problem orientation in the future; widely solicit suggestions and adhere to the policy formulation from multiple angles; and uphold the concept of service and create a good public opinion environment.
Exploration of Case Teaching Mode in Software Engineering Course
Authors: Wang Yan
Published: June 2024

Software engineering is a highly practical core course in computer related majors. The traditional teaching model focuses on teaching theoretical knowledge, while the case teaching model introduces practical cases and drives teaching activities with actual project cases, combining practice with theory to cultivate students' practical and problem-solving abilities. The paper analyzes the background and necessity of teaching reform in software engineering courses, and designs a software engineering case teaching mode, and provides practical suggestions. This teaching mode helps to enhance students' interest and understanding of the knowledge they have learned, cultivate their innovative thinking and comprehensive qualities.
Geochemical characteristics and sources of heavy metal elements in the southern and western surface soils of Fengdu County, Chongqing
Authors: Luan Jinhua , Chen Fei , Hu Feng , Zhang Ruigang , Ning Mohuan , Tian Heming , Duan Jiahui , Mao Lingling , Zhao Haitong , Cui Yachuan , Cui Zhiwei
Published: June 2024

In order to explore the current situation and sources of heavy metal element pollution in the surface soil of the southern and western parts of Fengdu County, Chongqing. In this paper, the test and analysis results of 2955 surface soil samples collected from the project of "Chongqing Jiaoshi Dam Width, Liziwan Width, etc. a total of five 1:50,000 Land Quality Geological Survey" project were carried out. The single pollution index method and the land accumulation index method were used to evaluate the current status of heavy metal pollution in crops and soil. At the same time, correlation analysis and principal component analysis were performed. The results show that: (1) Compared with the soil heavy metal background in the Three Gorges Reservoir area, the average values of As, Cd, Cr, Cu, Hg, Ni, Pb and Zn in the study area are enriched to different degrees, except that the average content of Cr is lower than the background value. Among them, As, Cd and Hg elements were obviously enriched. (2) The calculation results of the single index of heavy metals in the surface soil showed that Cd pollution was the main in the area. Cu was only slightly to slightly polluted, and the number of lightly polluted samples accounted for only 0.07%. (3) The average Igeo trend of heavy metals in surface soil in the region was Cd>Hg>As>Pb>Zn>Cu>Ni>Cr. As, Pb, Zn, Cu, Ni and Cr were mainly non-slightly polluted. Cd and Hg elements were heavily polluted, but the sample accounted for a small proportion. The overall display area is dominated by Cd element pollution. (4) The source analysis results show that As, Cu, Pb, Ni, Zn and Cr in the study area are mainly derived from the earth's crust. Its content is related to the geological setting. The pollution of Hg and Cd is likely to be affected by human activities, mainly from atmospheric deposition.
The Impact of Tariff Increases on Agricultural Exports in Guangdong, Hong Kong and Macao Greater Bay Area Based on the Perspective of China-US Trade Friction
Authors: Zhang Kefan
Published: June 2024

Both the international economic scene and trade between the United States and China have been significantly impacted by the trade tension between the two nations. In light of these circumstances and potential trade threats, the author investigates the policy implications of the US tariff increase on China's agricultural products as well as the consequences of trade friction between the US and China on the agricultural exports of the Guangdong, Hong Kong, and Macao Greater Bay Area. The study combines qualitative and quantitative analyses, selecting China's agricultural export trade data from 2010-2022 and the Greater Bay Area's agricultural export data to major countries or regions, and uses the double-difference method to assess the current state of China-US trade in agricultural products. The study summarises the effects of tariff increases on China's agricultural exports, and puts forward revelatory recommendations sat the government, industry and enterprise levels respectively to help agricultural exports from the Guangdong, Hong Kong and Macao Greater Bay Area to embark on a path of high-quality growth.
Research on Global Market Competition and Activation Impact of China's New Energy Vehicles
Authors: Zhao Houcheng , NAMJIL D. , OCHGEREL B.
Published: June 2024

With the shortage of global energy resources and the increased awareness of environmental protection, in recent years, China's new energy vehicle industry has developed rapidly and become a major player in the global electric vehicle market. This paper will discuss the competitive situation of China's new energy vehicles in the global market and its impact on the activation of the global new energy vehicle market. By analyzing the policy support, technological innovation, market expansion and international competitiveness of China's new energy vehicle industry, this paper aims to reveal China's important position in the global new energy vehicle market and its far-reaching impact on the global industrial structure. In recent years, China's new energy vehicle industry has sprung up and developed rapidly, and has become a powerful force in the global electric vehicle market. In this ever-changing era of science and technology, the new energy vehicle industry is regarded as an important driving force for future global economic growth, and countries have increased investment and competed for market share. In terms of technological innovation, China's new energy automobile industry continues to increase investment in research and development, breakthroughs in key technologies, and has achieved remarkable results. From the perspective of policy support, the Chinese government attaches great importance to the development of the new energy automobile industry and has introduced a series of policy measures to encourage and promote the rapid development of the industry. From the perspective of market expansion, the market of new energy vehicles in our country shows a rapid growth trend. In terms of international competitiveness, China's new energy automobile industry has gradually risen, and has the strength to compete with developed countries such as Europe, America and Japan. With the continuous growth of China's new energy automobile industry, the export business has also achieved remarkable results, and the international market share has gradually increased. On a global scale, China's new energy automobile industry has formed a new pattern of competition with major economies. The competitive situation of China's new energy automobile industry in the global market has become increasingly prominent, which has a positive activation effect on the global new energy automobile market. Under the joint promotion of policy support, technological innovation, market expansion and international competitiveness, China's new energy vehicle industry will continue to play an important role in the global market and have a profound impact on the global industrial pattern. With the increasingly fierce competition in the field of new energy vehicles, the development of China's new energy vehicle industry will have a greater impact and influence on the global market.
Research on Superstore Vegetable Pricing and Replenishment Prediction Based on ARIMA Time Series and Particle Swarm Algorithm
Authors: Chang Xiaoxiao
Published: June 2024

With the development of digitalization, it is important to provide accurate and reasonable pricing and replenishment strategies for superstores through market demand and data information. In this paper, we first preprocess the relevant data and draw line graphs to compare the correlation between multiple individual items through Spearman correlation analysis. Secondly, Random Forest feature importance analysis is used to explore the relationship between total sales and cost-plus pricing of each vegetable category, and finally, the target data are tested for grade ratio and a gray model is constructed, and model prediction is carried out by using spsspro, and then the particle swarm algorithm is used to derive the optimal pricing strategy. Meanwhile, by updating the pricing regularly and making accurate replenishment decisions, we can better adapt to market fluctuations, obtain better sales opportunities, and maximize the benefits gained by the superstore itself.
Analyze and Evaluate the Method Used as Well as the Fallout of OpenAI's Board of Directors Decision to Remove Sam Altman as CEO of the Company
Authors: Liu Zihao
Published: June 2024

Formed in December of 2015 by such leading lights as Elon Musk and Sam Altman, OpenAI has become a major player on the AI research stage. The OpenAI is committed to developing and Artist, researching investing in creating a technology beneficial for all of mankind. As such, the organization's primary visionaries are working creatively on artificial General Intelligence This latter type refers to systems which would be able perform better than humans at economically significant tasks. OpenAI and my future This study focuses on the course of this endeavor to develop artificial general intelligence, but more important than that is emphasis which Security matters the most fundamental consideration in infusing ethical principles into AI technologies is safety. The most recent in the line--GPT 3.5 -- has been offering impressive abilities related to a wide range of language processing tasks and is reflected by improvements in fields like computer-assisted translation services, automated content generation applications or even virtual assistants. Not only do the GPT models promise a transformative change for natural language processing, their announcement and reception--both within the community of artificial intelligence researchers, as well by people in various sectors of technology industry -- deserve an academic examination.
The Three-dimensional Characteristics of The Modern Chinese National Civilization
Authors: Zhou Min
Published: June 2024

The Communist Party of China leads the Chinese nation through the modern national crisis, set foot on the historical journey of national rejuvenation, in the practice of building socialism to continuously promote the "two combination", born the modern civilization of the Chinese nation. The modern civilization of Chinese nation is the new form of human civilization, with the triple characteristics of Chinese civilization, socialist civilization and modern civilization: the dimension of Chinese civilization is the modern growth of Chinese civilization; the dimension of socialist civilization is the first construction of socialist civilization; and the dimension of modern civilization is the new pattern of modern civilization. The modern civilization of the Chinese nation is the modern development of the Chinese civilization that actively integrates into the history of the world and constructs the Chinese discourse system. The Chinese modern civilization breaks through the definition of the civilization of "private ownership", eliminates the shielding of the subjectivity of capital to people, and jumps the so-called "Thucydides trap", showing the new style of modern civilization.
Machine Learning-Based Loan Default Prediction in Peer-to-Peer Lending
Authors: Yang Ruyi
Published: June 2024

The peer-to-peer (P2P) lending market has recently undergone significant growth, transforming traditional lending practices. However, this evolution brings with it unique challenges, particularly in managing credit risk and ensuring the reliability of loan approvals. Accurate prediction of loan defaults remains a pivotal aspect of risk management in this sector. This study introduces a comprehensive approach to improve bad loan prediction in peer-to-peer (P2P) lending, sourcing Lending Club data. In the face of challenges posed by imbalanced datasets and risk management in the loan industry, our methodology significantly enhances prediction accuracy, particularly in identifying bad loans. The study implements a comprehensive process that includes data cleaning, feature engineering, feature selection, balancing the dataset and machine learning models, achieving a noteworthy accuracy rate over 92% and recall rate above 87%. This research advances academic understanding of loan prediction and generates real-world impact. The accurate models identifying explanatory provide a valuable framework for improving decision-making and strategic planning in P2P lending platforms.
The Role of Business Negotiation in Business Cooperation--Analysis Based on Cultural Differences
Authors: Ren Siqi
Published: June 2024

In the context of economic globalization, the cooperation of enterprises is becoming more and more extensive and important. At the same time, based on cultural diversity, different cultural backgrounds and negotiation customs will have an impact on the outcome of negotiations. This paper analyzes the influence of different regional cultural backgrounds on their negotiation habits and illustrates the importance of paying attention to cultural differences. This paper argues that business negotiation plays a great role in bridging cultural differences in corporate cooperation. Based on this, the following suggestions are put forward in this article. Enterprises should pay attention to the importance of cultural differences, respect each other's cultural and language customs, and be fully prepared. In addition, it is necessary to do a good job of professional plan formulation before negotiation, flexibly adjust communication strategies during the negotiation process, and take the initiative while respecting the other party. At the same time, enterprises should focus on providing professional training for relevant personnel to improve their negotiation skills.
Study of Chinese Wine Consumers Behavior: Marketing Mix Model
Authors: Song Yanlin , Dr. Felina Young  , Dr.Chery B Cabading
Published: June 2024

This study delves into Chinese wine consumers' buying behavior, exploring the marketing mix strategies. The researcher brings a unique blend of practical insight and academic rigor to this study. The research methodology employs a quantitative survey to gather data from a diverse sample of Chinese wine consumers in Shandong Province. Statistical analyses provide a systematic framework for examining the relationships between various influencing factors and buying behavior patterns. Key findings delves into the impact of marketing mix elements, including product attributes, pricing strategies, promotional activities, and distribution channels, on consumer perceptions and purchasing intentions. Notably, the research highlights the importance of aligning marketing strategies with the unique preferences and consumption patterns of Chinese wine consumers.
An Overview of Research on Multimodal Teaching and Learning
Authors: Lv Yan , Ni Wenqian , Tan Yujiao
Published: June 2024

With the development of modern information technology, there emerges an increasing trend of multimodal teaching and learning. Teachers are required to employ a wide range of materials such as textbooks, diagrams, photographs and drawings to facilitate students’ learning. Thus, the significance of applying multimodal textbook discourse into classroom setting is also becoming increasingly pronounced. This article takes a retrospective look at the related previous studies on multimodal teaching and learning, which cover a wide variety of perspectives, including the multimodal discourse analysis, the multimodal classroom teaching and the multimodal textbook analysis. Based on the literature review, the deficiencies of current multimodal studies and suggestions for further research have been proposed in the last part of the article. The current study can give important enlightenment to the research and practice of multimodal teaching and learning, especially with the aid of the multimodal textbook discourse analysis.