bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on The Influence Mechanism of Live Streaming Atmosphere on Consumers' Willingness to Spend Impulsively
Authors: Shi Hanyue , Zhang Shuping
Published: December 2024

With the advent of the Internet live broadcasting era, e-commerce live broadcasting has become a hot topic that has received widespread attention. The purpose of this paper is to find the factors affecting consumers' willingness to make impulse purchases and to provide improvement suggestions for live marketing platforms, in order to guide e-commerce live platforms to create a better live atmosphere and promote the benign development of the live marketing industry.The study adopts the literature research method, questionnaire survey method and empirical analysis method, firstly combing the current research status of atmosphere cues at home and abroad, and reviewing the SOR theory and social presence theory, and then constructing a research model and putting forward hypotheses. Relevant data were collected through questionnaire survey method and empirically analyzed using SPSS27 software. The results of the study show that ambient cues such as background music, anchor's ability, page design and online service in live broadcasting room significantly enhance consumers' impulse consumption. Meanwhile, social presence and identity play a mediating role between ambience cues and consumers' impulse consumption, and there is a chain mediation relationship between the two. Therefore , in the future, live marketing companies should emphasize the creation of good ambient cues to enhance consumers' sense of social presence and sense of identity, so as to increase their impulse consumption.
Research on Digital Transformation Strategies of Small and Medium-Sized Enterprises
Authors: Jiang Hao
Published: December 2024

This article delves deeply into the strategic paths of small and medium-sized enterprises (SMEs) in their digital transformation journey, focusing on the unique challenges and unprecedented opportunities they face. Comprehensive data analysis uncovers specific difficulties faced by SMEs in areas such as digital technology adoption, resource constraints, and market adaptability. At the same time, it highlights the vast potential of cutting-edge technologies like big data, cloud computing, and artificial intelligence to reduce costs, enhance efficiency, and expand market reach for these enterprises. By reviewing relevant literature from both domestic and international sources, this study paints a picture of the current landscape of digital transformation among SMEs in China and offers practical strategic suggestions tailored to their unique circumstances. These include customized technology solutions, leveraging government policy support, and fostering digital ecosystem collaborations, all aimed at empowering SMEs to overcome obstacles, fully embrace the digital age, and achieve sustainable growth and enhanced market competitiveness.
Analyzing on The Impact of Celebrity Endorsements in Non-professional Fields on Brand Image
Authors: Wang Shuye
Published: December 2024

Jia Ling, a renowned actress and director in China, showcased her pursuit of a healthy lifestyle over the course of a year during the preparation for the move “Yolo.” During the film’s promotional events, she frequently wore Lululemon’s clothing line. This summer, Lululemon officially announced Jia Ling as its brand ambassador. The study's goal was to investigate how celebrity endorsements in non-professional fields influence brand image reshaping. This research uses Jia Ling’s appointment as Lululemon’s new brand ambassador as a case study, analyzing it through the lens of social identity theory and brand repositioning theory. The study discovered that celebrity endorsements in non-professional fields can effectively increase brand awareness and acceptance, enabling Lululemon to produce more environmentally friendly products. Furthermore, endorsements can influence brand image diversification and repositioning. At this point, Lululemon can cooperate with a Chinese local brand. Finally, Lululemon can enhance its emotional connection with consumers by choosing specific locations for brand events, thereby strengthening its relationship with potential customers.
Research of Influence of Blue on Appetite
Authors: Wu Yixuan
Published: December 2024

This essay will analyze the effect of using the color blue to influence appetite and address the rising obesity epidemic. By researching the psychological impacts of color on eating behaviors, it highlights how blue environments can suppress appetite and encourage mindful eating. Historical context shows colors have long influenced moods, with blue promoting relaxation and red stimulating hunger. Research, including studies by Charles Spence and Brian Wansink, indicates that blue, being rare in natural foods, can reduce food consumption. This could be due to evolutionary conditioning and its calming effects. Practical applications in schools, cafeterias, and homes can leverage blue decor to discourage overeating and support healthier eating habits. Although cultural perceptions of color may vary, the current evidence positions blue as a viable, cost-effective tool in public health strategies to combat obesity. Future research should focus on longitudinal studies to better understand the long-term effects of blue environments on eating habits and their potential role in comprehensive weight management programs.
The Effects of Human Feeding Activities on Animal Behaviors
Authors: Yang Runyu
Published: December 2024

Human interaction with animals, both domestic and wild, dates to millions of years ago, in ancient times when early humans formed symbiotic relationships with wildlife for survival, which eventually led to the domestication of certain species for food, labor and later companionship. This review essay will focus mainly on human feeding behaviors and their consequential influence on animal species. I would discuss different aspects of the influences with case studies from different research teams to evaluate both the positive and negative impacts and how can we utilize them to improve animal welfare and sustainability. After my review work, I found out that pros and cons come hand in hand in most situations. For example, human feeding behaviors can disrupt animal’s natural behaviors and lead to ecological imbalances. On the other hand, proper feeding behaviors can sometimes reduce the stress levels of animals and improve both their physical and mental health. Going into greater depth with the application of the advantages of human feeding, there are still considerations about whether such an act is ethical since it alters animals’ natural behaviors or if there would be any unknown long-term effect on the animal population. This review article aims to provide insight into how human feeding behaviors can affect animal behaviors so related workers and staff can have a clearer view of their behaviors and the potential consequences.
Research on the insurance underwriting model based on catastrophic risk
Authors: Zhong Runyu , Li Kaixin
Published: December 2024

The frequent occurrence of extreme weather events has led to significant property damage, and at the same time, the amount of natural disaster claims received by insurance companies has also increased dramatically. In order to more accurately assess insurance companies' underwriting capacity and coverage of catastrophe risks, since catastrophe risks in Los Angeles and Guangzhou are more frequent and more representative, this paper takes these two places as examples and establishes catastrophe risk assessment index and catastrophe risk severity scale based on the time series method. Next, We comprehensively consider the time value of money, and based on the insurer's surplus model, we aim to assist insurance companies in underwriting judgment and risk sharing decisions such as reinsurance, so as to provide a reasonable measurement standard for insurance companies.
Used Car Market in the USA---The Existing Problems and Solutions
Authors: Wu Yiwei
Published: December 2024

The used car market in the USA is a huge and stable market while some problems still exist in. This essay aims to find out these problems and provide sellers, buyers and government possible solutions to solve the problems. This essay analyses the behavior of the seller and the buyer in some cases and discovers the strategies used by them. By conducting social surveys and learning from previous essays, the author finally reaches a conclusion of the strategies for both sides in a negotiation. The research is of great significance because it is a real-life situation that many will face while they may be at a loss of what to do. The real cases inspire the author to reflect on the long-standing and built-in problems of the enormous market and study the benefits of both sides from their point of view so that the author can give suggestions that can reach a win-win situation.
The Rise of China National Medicines: Strategy and Financial Analysis of Medical industry
Authors: Wang Yueru , Yin Jie
Published: December 2024

China’s ageing population is becoming increasingly severe, so the demand for social medical and health services is growing. This also means that the demand for pharmaceutical consumption is promoting the market expansion of pharmaceutical circulation. This phenomenon has also promoted the continuous development of China’s pharmaceutical circulation industry. China National Medicines is one of the largest and most comprehensive pharmaceutical and health industry groups in China and has made great contributions to China’s pharmaceutical industry. This paper focuses on the factors affecting the existing business and future development of China National Medicines. First, it adopts PESTEL’s non-financial analysis of China’s National Medicines. Then, the profitability and liquidity indicators are taken as the means of analysis in the financial indicators. Thus, the value of selecting China National Medicines as an investment object is determined. The research found that China National Medicines has a strong ability to make profits and pay debts and has a better performance than other companies in the same industry, and some of the company’s drugs have certain advantages in the Chinese market. Therefore, the company has a specific investment value for investors.
An Empirical Study on The Impact of Host Countries’ Environmental Regulations on Chinese OFDI
Authors: Fang Chen
Published: December 2024

With the widespread adoption of green and low-carbon development concepts globally, economic growth has also been imbued with more elements of green development. Thus, the environment protection factors take more and more important role in the evaluation system of foreign investments all around the world, which raise the question of whether and how the escalating environmental regulations of host countries can affect Outward FDI (OFDI). Using a uniquely merged dataset of Chinese firm-level OFDI and country-level environmental regulations data over the sample period 2009–2019, this paper investigates the impact of host countries’ environmental regulations on Chinese OFDI from both host countries’ and multinational enterprises’ perspectives, and adds evidence from developing countries with weaker regulations to the 'pollution haven theory'.The conclusions show that Chinese multinational corporations are easily attracted by lax environmental regulations in alternative countries when choosing overseas locations, while strict environmental regulations in host countries reduce the investment probability of Chinese multinational corporations . Overall, the 'pollution haven effect' exists in the process of Chinese enterprises' overseas investment location choice, and several robustness checks confirm our findings. Heterogeneous tests indicate that non-OECD countries are more likely to become pollution havens than OECD countries who have more stringent environmental regulations. Mechanism analysis indicates that the natural resource rent of each country could moderate the impact of host countries’ environmental regulations on Chinese OFDI. Implications for both policy and managerial decision-making are also discussed.
The Impact of Human Activities on Corals
Authors: Yang Yucheng
Published: December 2024

Coral reef ecosystems are one of the most vital and dynamic ecosystems on earth, teeming with a diverse array of marine life and playing a crucial role in maintaining the health of the oceans. By delving into the multifaceted impacts of human activities on coral reef ecosystems, this paper examines the devastating consequences of various anthropogenic factors, such as the booming tourism industry, the pervasive microplastic pollution problem, and oil spills and other forms of marine pollution. The protection and restoration of coral reef ecosystems through a wide range of measures provides a safer and healthier habitat for coral reefs, thereby ensuring that coral reefs can continue to play an important role in the marine ecosystem. Only by adopting such a comprehensive and proactive approach can humankind ensure the sustainable use of coral reefs. Furthermore, this article proposes a series of protective measures and strategic improvement plans designed to rehabilitate and restore coral reef ecosystems to their former glory, ensuring their survival for future generations to marvel at and benefit from.
Applications of Remote Sensing and Sensor Technology for Unmanned Aerial Vehicle
Authors: Liu Zheyu
Published: December 2024

As a relatively new remote sensing means, unmanned aerial vehicle (UAV) remote sensing has been widely used in the fields of agriculture, forestry, and urban construction surveying and mapping because of its low cost, high efficiency, and flexibility. This paper introduces UAV remote sensing sensor technology and its applications in different fields. First, the core role of sensors in UAV remote sensing systems is introduced, including the development of multispectral, hyperspectral, and LiDAR sensor technologies and their applications in UAV remote sensing. Then, the working principles, technical characteristics, and application scenarios of multispectral, hyperspectral, and LiDAR sensors are discussed. Then, multi-sensor integration techniques in UAV remote sensing are discussed in terms of their importance and challenges. Finally, through the application cases of agricultural monitoring, forestry resource management, and urban construction mapping, the practicality and potential of UAV remote sensing technology are shown. This paper provides a reference for the research and application of UAV remote sensing and its sensor technology in several fields. With the continuous progress and innovation of technology, UAV remote sensing technology is expected to play a key role in more fields and promote the sustainable development of related industries.
Empirical Analysis of the Portfolio Theory
Authors: Yang Rui
Published: December 2024

As financial markets expand rapidly, investors face complex challenges while pursuing high returns. Therefore, it is necessary for investors to have knowledge of investment theory so that they can take a more rational approach to the actual investment process and decision-making. Portfolio theory, proposed by Markowitz, emphasizes the reduction of risk through diversified investment and becomes the basis of modern financial theory. This paper introduces the basic principles and assumptions of portfolio theory and shows how to apply this theory to portfolio optimization in Excel. Three stocks, Tesla (TSLA.O), Mediea Group (000333.SZ) and Wuliangye (000858.SZ), were selected as examples in this research. It is found that the Markowitz model performs well in reducing risk and increasing the Sharpe ratio, but there are problems with high computational complexity and ideal assumptions in practice. It can be found that portfolio theory plays a key role in asset allocation and risk management, providing some reference for investors and improving direction for future research.
Impact of Climate Change on the Emergence and Decline of Ancient Civilizations-Historical Climate Reconstruction from Earth Science Perspectives
Authors: Dai Qixin
Published: December 2024

The impact of climate change on ancient civilizations is an important research topic. Ancient societies were extremely dependent on natural resources and climatic conditions due to their constraints, and climate fluctuations often had far-reaching impacts on agricultural production, resource management, and social stability of ancient civilizations. The aim of this paper is to investigate the impact of climate change on ancient civilizations using geoscientific reconstruction of historical climate. The study includes an analysis of the information provided by ice core data and sediments, and then describes how climate change affected ancient civilizations from different perspectives. In addition, the essay summarizes how modern geosciences and technology have provided useful tools for related research fields. Through historical climate reconstruction, this paper deepens the understanding of how historical climate change affected ancient civilizations and provides valuable lessons for other researchers to follow.
Research on the Development Level of China's Agricultural Rural Modernisation Based on Delphi, Entropy Weight and Topsis Methods
Authors: Zeng Yijie , Cai Ying , Tang Mohan , Dan Haoluo
Published: December 2024

This paper proposes a comprehensive assessment model through the Delphi, entropy weight and Topsis methods to address the complexity and diversity of China's agricultural and rural modernisation development. Firstly, the relative weights of each indicator in the modernisation of agriculture and rural areas were determined through expert surveys and weighted averages, and consistency tests were conducted to verify the credibility of the results. Secondly, the use of the entropy weight method is detailed, where the weights are determined by calculating the information entropy value of the indicators, and the final weight results are normalised. Further, the application of the Topsis method in assessing the development level of agricultural and rural modernisation in each province and city is described, and the comprehensive scores of each region are derived and graded by comparing the distances from the ideal solution and the negative ideal solution. Finally, the degree of realisation of agricultural and rural modernisation in China's provinces and cities is assessed and analysed based on the scores, demonstrating the differences and trends in the modernisation process in different regions.
Research on the Optimization of Crop Planting Strategies Based on a Multi-Factor Comprehensive Analysis Model
Authors: Hui Honglin , Gong Hao , Gao Jiawen , Hu Xiuye , Wang Shaowen
Published: December 2024

This paper examines crop planting strategies from 2024 to 2030 in a rural village in the mountainous areas of North China to address the challenges posed by climate change and market volatility. Due to its special geographical location and climatic conditions, crop cultivation in the mountainous areas of North China is susceptible to drought and water shortage, which puts forward higher requirements for the optimization of planting strategies. The study considers two market scenarios: Scenario 1 assumes that the excess crop is completely unsalable, and Scenario 2 considers the excess crop being sold at half price. By simulating market fluctuations through the Monte Carlo algorithm and finding the optimal planting combination combined with the greedy algorithm, this paper seeks the optimal planting plan under different market conditions to maximize the net return. The results show that the optimization strategy can significantly improve the net income of crop planting, reduce the risk caused by market fluctuations, and help promote the sustainable development of rural economy. These optimization strategies have important theoretical and practical significance for improving the economic benefits of crop planting, enhancing the ability of agriculture to resist risks, and promoting the sustainable development of rural economy. Analyzing and optimizing crop planting strategies through scientific methods can not only ensure food security, but also promote agricultural modernization and achieve harmonious development of agriculture and the environment.
Relationship Between Sex Ratio and Ecosystem in Lampreys Based on Logistic Model
Authors: Gao Yujun , Zhang Bin
Published: December 2024

In order to clarify the ecological ramifications of adaptive sex ratio fluctuation in lampreys, this study explores the dynamics of the population and its sex ratio using a logistic model. With the use of simulation methods and observational data, the study builds a comprehensive model to evaluate how changes in the sex ratio affect the ecosystem. With skill, the logistic model is used to forecast changes in the population of lampreys, accounting for the impact of food supply on the larval stage and subsequent determination of sex. Using MATLAB for data processing and visualization, the study further combines agent-based modeling (ABM) to replicate lamprey behaviors and their environmental interactions. Through an analysis of how sex ratio affects resource competition, predation, and population dynamics, the study sheds light on the ecological implications of changes in sex ratio in lampreys. The consideration of the ecosystem's stability in light of changes in the sex ratio and the possible advantages for parasitic ecosystems in the paper's conclusion lays the groundwork for further ecological and conservation research.
Enhancing the Efficiency of Pig Production by Utilizing Advanced Breeding Techniques
Authors: Wang Yuran
Published: December 2024

Since the farming society, people have begun to cultivate land and raise animals at the same time to provide a stable source of food. As one of the earliest animals raised by humans on a large scale, pigs are still the most purchased meat per capita today, occupying a large part of animal husbandry system. In modern animal husbandry, pig breeding is of utmost importance, as it relates to pork production and quality, as well as the economic benefits of the livestock industry.  Selection, genetic marker technology and gene editing techniques assist in pig breeding, such as removing key genes that contribute to the pathogenicity of PRRS viruses. In this paper, after analyzing the stress resistance of different pig breeds, it was found that local pig breeds have potential advantages in disease-resistant breeding research. Crossing them with introduced pig breeds can improve production performance and economic benefits. These research achievements not only provide a scientific basis for pig breeding but also offer new directions for the genetic improvement of global pig breeds and the development of new breeds, thus promoting the sustainable development of the animal husbandry industry.
The Impact of Top Management Team Diversity on Corporate Decision Making and Performance
Authors: Zhang Wenfeng
Published: December 2024

This paper examines the impact of diversity in top management teams on corporate decision-making and performance, analysing the role of diversity on information processing capacity, decision-making efficiency, financial performance and innovation capacity. It is found that diverse management teams can enhance the quality of decision-making and innovation by providing diverse perspectives and experiences. However, team diversity may also raise issues such as communication barriers and culture clashes, which may have a negative impact on the decision-making process and teamwork. Through case studies, this paper explores the successful experiences of Google and IBM in diversity management and proposes strategies to address the challenges, such as building an inclusive culture, optimising communication mechanisms and adjusting assessment systems. Meanwhile, this paper also discusses the relationship between diversity and CSR, pointing out that diversity helps companies fulfil their social responsibility and enhance their social image. Finally, this paper proposes future research directions, including the impact of diversity on long-term decision-making, diversity research in different cultural contexts and the relationship between diversity and CSR. Overall, although diversity management faces challenges, the potential for innovation and performance enhancement it brings makes it a key factor in corporate strategy.
CSU's Predictive Power for Stock Expected Returns
Authors: Yuan Shu
Published: December 2024

This paper aims to investigate the predictive power of cross-sectional uncertainty (CSU) on expected stock returns. Building upon the research of Deshui Yu and Difang Huang, this study extends the sample period to December 2022 and empirically finds that CSU has a strong predictive ability for expected stock returns, outperforming the 13 macroeconomic variables and 4 measures of economic uncertainty proposed by Goyal and Welch (GW). The results show that CSU's predictive power strengthens as the forecast horizon lengthens and passes tests both in-sample and out-of-sample. Moreover, the combined forecast of CSU with macroeconomic variables and economic uncertainty variables can produce better out-of-sample forecast results, especially over longer periods. Economic tests indicate that using CSU to predict stock returns can bring higher economic utility to risk-averse investors. Therefore, this paper concludes that CSU is an effective forecasting tool that can provide investors with additional information for predicting market excess returns.
Navigating the Corporate Interview Negotiation: Strategies and Insights
Authors: Zhang Junsheng
Published: December 2024

This study investigates the critical role of effective negotiation in job interviews and presents tactics to refine interviewees' negotiation capabilities. The research underscores that negotiation extends beyond obtaining a job position; it is instrumental in molding one's professional trajectory and financial destiny. The paper advocates for comprehensive preparation, encompassing insights into industry norms and corporate financial, to bolster interviewees' negotiation leverage. It also accentuates psychological tactics, such as the anchoring effect and demonstrating passion, as pivotal in swaying negotiation results. Additionally, the paper discusses the value of considering non-salary benefits, including health insurance and retirement plans, in the negotiation process. Candidates are recommended to scrutinize employment contracts and seek legal counsel when required. Furthermore, the study emphasizes the importance of practicing active listening and empathy to build rapport with interviewers, which can further enhance the negotiation process. Ultimately, the paper concludes that proficiency in negotiation can markedly enhance job seekers' prospects of achieving improved employment terms and career progression.
The Impact of Investor Sentiment on Stock Returns
Authors: Chen Xin
Published: December 2024

This paper aims to explore the relationship between investor sentiment and stock returns. An investor sentiment index was constructed using principal component analysis, and its reliability was verified. The empirical research results indicate that the returns of the CSI 300 Index are significantly positively correlated with investor sentiment, meaning that when the sentiment index increases, returns also rise; conversely, when the sentiment index decreases, returns fall. Similarly, a significant positive correlation exists between investor sentiment and the returns of the SSE 50 Index, CSI 500 Index, Shanghai Composite Index, and Shenzhen Component Index. Further construction of a VAR model and impulse response analysis revealed the mutual influence between SENT (sentiment index) and stock returns. The study found that SENT has a more substantial impact on the indices in the short term, but this effect gradually weakens and converges to zero over time. This suggests that investors are more influenced by sentiment in the short term, but as market information increases, the impact of sentiment on the market diminishes. This research is of great significance for understanding the influence of investor sentiment on the stock market.
Preface: 5th Asia Conference on Geological Research and Environmental Technology (GRET 2024)
Authors: Melville Renata , Yu Lin
Published: December 2024

The organizing committees are honored to present the proceedings of the 2024 5th Asia Conference on Geological Research and Environmental Technology (GRET 2024), held in Kamakura, Japan during October 26-27, 2024.
GRET 2024 aims to bring together outstanding scholars, researchers, and students to exchange and share their experiences and research results about all aspects of earth science, geological research, natural resources, energy engineering, and environmental technology. We also provide the keynote address and several plenary invited speeches for the discussion of most recent innovations, trends, concerns, practical challenges encountered, and the various solutions.
In everyone's efforts, GRET 2024 was successfully held as scheduled. The conference model was divided into two parts, including keynote speeches and discussions. In the first part, keynote presentations were delivered in 30 minutes for each talk. The second part was held lasted nearly an hour in a communication group for experts and scholars to discuss more about the talks and presentations.
We do believe your great participation will make our conference success and we would appreciate your participation. Hopefully, all participants and other interested readers will benefit or find inspirations from this proceeding.
With our best regards,
GRET 2024 Conference Organizing
Kamakura, Japan
The harm of difficult to degrade plastics to animals and the surrounding environment
Authors: Gu Sicun
Published: December 2024

Littering or the disposal of plastic products and particles in the environment is a current global concern. Because plastics are long-lasting and are used extensively, productivity has increased dramatically to 400 million tons per year, and only a small fraction of them is recycled or disposed of correctly. This research aimed at examining the impacts of plastic pollution on soil and marine environment especially on the changes in physical and chemical properties of the soil, the effects on plant growth and marine organisms through ingestion and entanglement. The study also notes that microplastics have negative impacts on the physical characteristics of the soil including fertility and permeability as well as the behavior of macro-organisms like earthworms, and marine life is impacted by species entanglement and ingestion of plastics leading to extensive ecological risks. Furthermore, while biodegradable plastics are more environmentally friendly, they decompose at varying speeds depending on the conditions and microorganisms. The study also highlights the importance of improved waste management, reduction in the use of plastics, enhancement of recycling and biodegradation studies to minimize the adverse effects on the environment in the long run. This work assists in increasing the public’s understanding of the global problem of plastic pollution and promotes the need for a universal approach to minimizing the negative impact on the environment.
Analysis of Block’s Merchant Credit Assessment Model
Authors: Chen Junyu
Published: December 2024

This study examines the merchant credit assessment model of Square Capital, a Block subsidiary, representing an innovative approach to small business financing in the fintech sector. Traditional credit assessment methods often fail to effectively serve small businesses due to information asymmetry and lack of collateral. Square Capital utilises real-time transaction data and advanced machine learning algorithms to provide more accessible and efficient financing solutions. The research methodology comprehensively analyses Block’s annual reports, industry data, and relevant academic literature. The study explores Square Capital’s unique data sources, assessment factors, and machine learning algorithms, highlighting the differences between this model and traditional lending practices. Results indicate that Square Capital’s model has demonstrated excellence in loan growth, risk control, and customer satisfaction, facilitating $1 billion in loans in 2023, an 18% year-over-year increase. This paper argues that Square Capital’s data-driven approach represents a significant innovation in small business financing, potentially setting new standards for the fintech industry. However, challenges remain in balancing innovation with regulatory compliance and risk management as the business scales. The study also discusses future research directions and implications for traditional financial institutions.
Optimisation of Crop Planting Strategies Based on Dynamic Planning Models
Authors: Wu Jiaqi , Cao Zhe , Zhai Weidi
Published: December 2024

In today's society, agricultural production faces many challenges, including population growth, resource scarcity, climate change and changes in market demand. In order to meet the growing demand for food, farmers need to optimise their cropping strategies to improve the efficiency of land and resource use for sustainable development. In this context, the optimisation of crop cultivation has gradually attracted extensive attention from academics and agricultural producers. Through the use of modern data analysis techniques, researchers can better understand the economic benefits of different crops and their interrelationships, and thus provide farmers with practical planting advice. In order to study to get the optimal strategy of crop planting in a certain countryside, this paper proposes a dynamic planning model to determine the optimal planting scheme of crops. In this paper, firstly, we take the profit as a clustering index, and use the K-means++ clustering algorithm to classify crops into three classes of high profit, medium profit and low profit. It is found that mushroom, vegetable and grain crops almost exactly correspond to these three profit classes, which provides effective theoretical support for the development of optimal planting strategies. Subsequently, for many problems in real life, this paper establishes a dynamic planning model, systematically solves a variety of practical constraints, and proposes the optimal planting scheme. Finally, this paper finds the optimal planting programme from 2024 to 2030 and the maximum profit to provide guidance for practical agricultural production activities.
Modelling of the Interrelationships Between Population Sex Ratio and Food Content and Ecological Niches in the Marine Lampreys
Authors: Yang Xinxin , Ren Huitao , He Jiaxin
Published: December 2024

In this paper, a model related to sex ratio and food content was developed and solved. Through logistic function fitting, it was found that the sex ratio of the Marine lampreys was affected by environmental conditions, with approximately 56% males when food was plentiful and up to 78% when conditions changed. A correlation function model between sex ratio and food content was developed and the normality and absence of autocorrelation of the model was verified by residual analysis (Shapiro-Wilk and Durbin-Watson tests).In order to further explore the interrelationships between sea sevengill eels and their ecological niches, this paper extends the classical Lotka-Volterra model to include competitor and predator equations, and analyses the changes of the various populations under the initial conditions by numerical simulations. Through Spearman correlation analysis, it was found that sex ratio significantly affects the number of predators, competitors and prey in the ecosystem, where an increase in the proportion of males suppresses the growth of the number of prey and competitors, and promotes the increase of the number of predators.
Research on Forest Fire Prognosis based on Multi-Source Data
Authors: Su Jinglan
Published: December 2024

The occurrence of forest fires not only destroys the ecological balance and devours valuable natural resources, but also threatens the safety of human life and property, so the prevention and control of forest fires is of great significance. At this stage, the technology for forest fire monitoring is very mature, but there is a lack of systematic research on the prediction of fire probability for the time being. Therefore, this paper provides a study of forest fire prognosis by comprehensively analyzing multi-source remote sensing data and natural factor data. Firstly, this paper begins with an overview of the types of multi-source remote sensing data and their applications in forest fire research, including optical remote sensing, thermal infrared remote sensing, radar remote sensing, and LiDAR data. These data provide critical information for fire risk area identification, fire behavior simulation, and post-disaster assessment. Secondly, this paper analyzes the influence of natural factors such as vegetation characteristics, topography and soil conditions, and climatic conditions on the occurrence and spread of forest fires. Further, this paper explores the application of multi-source data in fire risk assessment, behavioral analysis and simulation, and post-disaster assessment and recovery planning, and demonstrates the potential of UAV remote sensing data in fire monitoring through a case study. Finally, this paper summarizes the research findings, discusses the advantages and limitations of the forest fire prediction methods based on multi-source data, and proposes suggestions for future research directions. This study expects to provide a scientific basis for forest fire prevention and response and to contribute to the sustainable management of forest resources and ecological environmental protection.
Tiktok Short Video Realization Mode and Business Value Analysis
Authors: Fan Hua
Published: December 2024

TikTok short videos not only transform the modes of entertainment and social interaction, but also reveal significant commercial potential. By viewing a brief video lasting just a few seconds, users can quickly form an initial impression of a brand or product. Furthermore, through the sharing capabilities of social networks, this information can disseminate rapidly and broadly, facilitating viral marketing effects. It is evident that TikTok's short video platform has emerged as a crucial tool for enterprises to conduct marketing communications and enhance brand awareness, yielding substantial traffic benefits and commercial value. This article mainly discusses the commercial realization model and commercial value of TikTok short videos. First of all, analyses TikTok's strong commercial potential through diversified realization models such as advertising revenue, user payment, live streaming, etc. Subsequently, evaluate the commercial value of TikTok on the user basis of a large base, as well as the diversified content ecology and accurate recommendation algorithms. At the same time, this article will address the challenges of commercial realization. Finally, optimization suggestions such as improving content quality, optimizing advertising, and innovating e-commerce models are put forward to further enhance TikTok's commercial realization ability and platform competitiveness.
Automatic Pricing and Replenishment Decision for Vegetable Commodities Based on Support Vector Regression
Authors: Liu Yiqi , Yi Siyu , Song Boxu
Published: December 2024

Automated pricing and replenishment decisions for vegetable merchandise play a critical role in the retail industry. Accurate pricing and replenishment forecasts can effectively improve operational efficiency, reduce inventory costs, and increase customer satisfaction. In order to accurately realize the automatic pricing and replenishment decisions, paper use the recent 30-day data to forecast the future based on the cost-plus pricing method, taking into account the seasonality of vegetable commodities, and at the same time, taking into account the cyclicality of vegetable commodities, paper use the sales volume of the previous year in the same month to fit the sales volume of the coming week, and combine the weighting of ARIMA time-series forecasting results to get the final forecasted sales volume, and employ the SUPPORT VECTOR REGRESSION theory to calculate the pricing, using the loss rate to calculate the replenishment, and finally constructed the automatic pricing and replenishment decision model for vegetable commodities applicable to big data, and the results show that the choice of cost-plus ratio is relatively stable, and the standard deviation of the sample is 0.24, which can help hypermarkets to achieve better decision-making.
Research on the Impact of Digital Finance Development on Commercial Credit Financing Between Enterprises
Authors: Zhao Zhuoran
Published: December 2024

Digital finance has effectively solved the financial exclusion dilemma and eased the financing constraints of enterprises, but its impact on business-to-business commercial credit financing remains to be tested. Taking China’s A-share non-financial listed companies from 2011 to 2019 as the research object, we empirically test the impact of digital finance development on inter-firm commercial credit financing. The results show that the development of digital finance inhibits inter-firm commercial credit financing behavior. The lower the degree of industry competition, the higher the supplier concentration, and the higher the customer concentration, the stronger the inhibitory effect of digital finance on inter-enterprise commercial credit financing. Bank credit based on supply chain plays a partial intermediary role in the process of digital financial development affecting inter-enterprise commercial credit financing; digital financial technology promotes the development of supply chain financial services of banks, inhibits the demand for inter-enterprise financing through commercial credit, and is able to alleviate the problem of inter-enterprise occupancy.
The Impact of Excessive Species Density in An Area on The Local Ecology
Authors: Xiang Zhuoran
Published: December 2024

“Biodiversity overabundance” is a term used to describe a situation where species densities (the number of species in a given area) have become unsustainable and localized species densities have exceeded the carrying capacity of the ecosystem as a whole. As urbanization compresses wildlife habitats, excessive species density can lead to ecological imbalances, including competitive exclusion and declines in less competitive species. This study explores the impacts of high species density on biodiversity, resource competition, and human-wildlife interactions in Malaysia. The findings highlight intensified resource competition, increased disease transmission, and heightened human-wildlife conflicts, particularly in urban areas. Notable examples include the rise of zoonotic diseases linked to dense wildlife populations. To address these challenges, effective management strategies are proposed, including restoring predator-prey dynamics, implementing population control measures, and integrating urban planning with environmental protection. By balancing species density and fostering coexistence between humans and wildlife, Malaysia can promote sustainable biodiversity management and enhance ecosystem health. The study emphasizes the need for ongoing research and collaboration among stakeholders to mitigate the adverse effects of excessive species density and ensure long-term ecological stability.
A GIS-Based Study of the Distribution of Settlements in Roman Britain in Relation to Environmental Factors
Authors: Yao Yikai
Published: December 2024

This study utilizes Geographic Information Systems (GIS) technology to conduct an analysis of the relationship between the spatial distribution of settlements during the Roman Britain period (43-410 AD) and environmental factors. This study employs the ArcGIS software to process archaeological data and integrate it with natural geographic information. A variety of spatial analysis techniques were utilized to explore the impact of multiple social and natural factors on the distribution of settlements. The research findings indicate that the majority of settlements are concentrated in the southern and central eastern regions of the British Isles, particularly in plain areas near water sources. Nucleated settlements in Roman Britain held significant economic and cultural status. There exists a strong correlation between the economic and cultural activities at these archaeological sites. Furthermore, the distribution of archaeological sites is directly associated with local ecosystem and hydrological features. A multitude of environmental factors collectively determine the distribution characteristics of archaeological sites.
Case Study on The Operational Optimization of The Financial Shared Services Center at Huahe Real Estate
Authors: Ling Meng
Published: December 2024

During the period of reform and opening-up in China, the real estate industry has experienced rapid development. Since the housing system reform began in 1998, an increasing number of enterprises have entered the real estate sector. Most well-known large real estate companies emerged during this time. Until 2007, the real estate market was in its "golden era," where companies could enhance their profits solely through land appreciation. However, as more companies entered the market, available land for construction became scarcer, competition intensified, and the government's regulatory policies on the real estate industry increased, making it more challenging for real estate companies to earn profits as easily as before. In recent years, the government has introduced the concept of "housing is for living, not for speculation," strengthening its control over the real estate sector. Consequently, real estate companies have begun to transform their profit models in an effort to continue generating profits.This article analyzes the operations of the financial shared services center at Huahe Real Estate and identifies issues such as a high core business order cancellation rate, low internal operational efficiency, a high employee turnover rate at the shared center, and problems related to information technology. The third section analyzes the causes of these issues from both internal and external perspectives. Internally, the factors include strategic structure, business processes, personnel management, and information systems. Externally, the primary causes are related to national policies and technological changes. The fourth section proposes corresponding policy recommendations based on the identified issues and their causes. It is hoped that this analysis will provide insights for the ongoing operations of the financial shared services center at Huahe Real Estate, as well as offer case support for other real estate companies looking to establish financial shared services centers.
Study on the Effects of Ginger Extract on the Degree of Hydrolysis, Sensory Evaluation, Color Difference, and Volatile Flavor Components of Oyster Enzymatic Hydrolysate
Authors: Lin Yijun , Pan Fengqiong , Chen Xueren , Chen Xueren , Huang Jiating , Lu Yuhua , Yang Zhao
Published: December 2024

To investigate the impact of ginger extract on the quality of oyster enzymatic hydrolysate (OEH), the effects of adding 4% and 8% ginger juice on hydrolysis degree, sensory evaluation, color difference, and volatile flavor components were analyzed. The results indicated that the highest hydrolysis degree of OEH, achieved by adding 8% ginger juice, was 25.27%, and the highest sensory score reached 85.6. Furthermore, 24 and 36 compounds were identified in OEH with 4% and 8% ginger juice added, respectively.