bluuebunny/crossref_metadata_2025 huggingface dataset:
Research Process of Chia Seeds in the Fight Against Cardiovascular Inflammation
Authors: Yang Ye
Published: July 2024

Chia seeds have gained attention in recent years as a nutrient-rich superfood. Its rich content of protein, fibre, antioxidants and omega-3 fatty acids are all known to be useful in the treatment of inflammation. Cardiovascular disease is an important problem of chronic disease, and due to cardiovascular disease leads to inflammation and thus damage to the human organism, and through the treatment of chemical drugs are prone to side effects on the organism, causing adverse reactions. This paper analyses the study of chia seeds as well as cardiovascular disease in these two aspects of the study, and after the results of the study showed that the omega-3 fatty acids in chia seeds have anti-inflammatory effects, and can reduce the incidence of occurrence of cardiovascular inflammation. In addition, antioxidants in chia seeds were able to reduce vascular damage and atherosclerosis. The combined findings suggest that chia seeds have a role in cardiovascular inflammation and that their nutrient-rich content has a positive impact on cardiovascular health. However, further studies are still needed to verify its specific mechanism of action and clinical application prospects. It is hoped that this paper can provide some reference for further research on the application of chia seeds in the therapeutic field of cardiovascular inflammation.
Analysis of Huawei Smartphone’s Marketing Strategy and Future Prospects
Authors: Qi Ruize
Published: July 2024

In the Internet age, smart phones have become an indispensable part of everyone's daily life. In China's smartphone market today, Huawei takes a dominant position through continuous innovation of technology, novel design and more easy use. In the three years ago, COVID-19 effect the market sale of almost brands, because the market space occupied by other competing brands led to a steeply descending in Huawei's sales. Because Huawei has successfully occupied the dominant position in China's smartphone market through continuous innovation of technology, novel design and more convenient use. But the big competition such as Xiaomi, OPPO, VIVO and other domestic brands are gradually coming to the fore. Therefore, Huawei needs to change to its marketing strategy in the market. This dissertation will summarize the status quote, risks, advantages and disadvantages of Huawei in the Chinese smartphone market and put forward suggestions for its future development through literature and case analysis, STP marketing theory and SWOT analysis tool.
Research on the effectiveness of second-child subsidy policy in high-cold areas based on multi-level model
Authors: Li Mengze , Niu Dayong , Lin Yuxin , Li Shuwei , Wang Xiaojing
Published: July 2024

The number of births in China increased slightly in 2016-2017 after China implemented a two-child policy and provided certain subsidies for second-child births. However, since 2018, the overall number of births in China has begun to decline, reflecting the waning effect of the policy. High and cold regions, especially Heilongjiang Province, have seen their birth rates rise far below the national average despite adopting such policies. The passive response of the two-child subsidy policy in the northeast region in the high-cold environment reveals the underlying economic and social reasons. Then what economic and social factors have an impact on the effectiveness of the two-child subsidy policy in the high-cold region? For this reason, we have launched an in-depth investigation. To further analyze the effectiveness of the two-child subsidy policy, we further designed a more targeted questionnaire. The text selected Harbin City, Beijing City, Qingdao City and Nanning City to study the fertility intention, and carried out in-depth research online and offline. Since the questionnaires collected were targeted at four provinces in China, considering the multi-layer nesting of data, we adopted a multi-level model to analyze the changes of factors affecting the intention of having a second child before and after the introduction of regional variables, and then explored the differences of influencing factors among regions. Through the above research, we found that although the initial fertility policy promoted a certain degree of fertility intention and birth rate, the long-term impact was limited, and the effect of economic subsidies was eroded by high living costs, regional differences, and insufficient publicity and implementation. The increasing pressure on the cost of childbirth, education, medical care and housing further inhibits the willingness to have children. The second-child subsidy policy has significant differences in satisfaction and demand among provinces, and it is difficult to achieve the desired policy effect by relying solely on economic subsidies. It is necessary to consider regional differences and family personality differences to formulate comprehensive policies to encourage childbirth, including the implementation of economic subsidies, social support, career development, education and medical resources, maternity leave support and other comprehensive policies.
Brand Rejuvenation Strategies in the Age of Digital Media: A Case Study of Coca-Cola
Authors: Liu Xinyi
Published: July 2024

Today, with the rapid development of new media technology, people's consumption needs have gradually diversified. In order to meet the needs of the consumer market, rejuvenation has become the direction of transformation for many brands. Coca-Cola, as a leader in the army of generations that have completed one round of innovative interpretation of brand marketing concepts with rejuvenation strategies, studying its rejuvenation development strategy will certainly provide reference value for more brands. This study builds an analytical framework through case studies of Coca-Cola in different stages of Web 1.0, 2.0 and 3.0 development, comprehensively examines the brand rejuvenation practices in these three stages, and builds a structural equation model by adopting the ROI theory as an analytical tool, to reveal how Coca-Cola establishes a close relationship with consumers in each era through a more contemporary marketing strategy.
The Impact of COVID-19 for Agricultural Exports
Authors: Xu Zejin
Published: July 2024

The Covid 19 Pandemic in 2020 greatly impacted different countries’ economies as well as their various business sectors. One of the biggest concerns at the time among experts was the possibility that there was going to be a food shortage, as the widespread pandemic disrupted the global food supply chain. Thus, analyzing agricultural exports during the pandemic is extremely important because it provides valuable insights about the resilience as well as the weakness of the global food supply chain under disruptive circumstances. This paper decided to specifically study the pandemic's effects on China’s agricultural export, as China is one of the biggest countries in exporting agricultural products. Data on the value of China’s agricultural export before and after the pandemic is extracted. The ARIMA model was used to analyze and predict values of agricultural products if the pandemic did not occur. The predicted value is then compared with the actual value, and discussions as well as conclusions about the pandemic’s significant impact on agricultural export in China are drawn.
The Impact of Diversification in Strategic Management on The Catering Industry: A Case Study of Haidilao
Authors: Liu Mengyu
Published: July 2024

The catering industry began to stagnate as a result of COVID-19. Faced with the competitive environment, F&B brands began to adopt various strategic management methods, of which diversification was an effective strategy. This study mainly examines the impact of diversification strategies on the development of the catering industry, taking the well-known hot pot restaurant Haidilao as an example. Based on the theory of corporate strategy management, it analyzes the business situation and the implemented diversification strategies of the company. Firstly, this paper discusses the current situation of Haidilao’s restaurants, including the development status and business operations, and evaluates and analyzes the restaurant's sustainable competitive advantages using the VRIO model. Finally, it explores how the management of Haidilao implements diversification strategies, mainly including the analysis of the shortcomings of store growth strategies, how to apply diversification strategies to seek new growth points and provides recommendations for the currently implemented strategies. Through the case study of Haidilao, this paper provides insights into diversification strategies in enterprise management, which provides new ideas and methods for the management decisions of related enterprises.
Research Progress on the Mechanism of Action and Screening of Acid-lowering Yeast in Wine
Authors: Zhou Yunhan
Published: July 2024

The acidity of wine is a crucial factor affecting its quality and stability, serving as an important index for wine evaluation. The paper reviewed the application of acid-lowering yeast pathways and screening methods in wine, kiwi wine, and milone. As a biological acid-lowering method, acid-lowering yeast primarily relies on the lactose-lactate fermentation pathway and the malate-lactic acid fermentation route to reduce acidity. The method of acid reduction varies among the three types of beverages. Additionally, the paper explored the screening pathways for acid-lowering yeast. Beyond traditional screening methods, molecular biology techniques, gene editing techniques and adaptive evolution have further improved the screening efficiency and accuracy. By analyzing the fermentation conditions of different alcoholic beverages, different screening methods can be employed to improve the fermentation effect of acid reduction. Acid-lowering yeast has broad application prospects in the alcohol industry. Combined with gene technology to further study and innovate the yeast acid-lowering way, apply it to more alcohol, and promote the development and progress of the industry.
The Impact of Digital Banking Services on Customer Satisfaction
Authors: Chu Hongyang , Zhan Xuegang
Published: July 2024

With the rapid development of information technology, the banking industry is accelerating digital transformation, changing customer experience and reshaping the competitive landscape. This article explores the impact of digital banking services on customer satisfaction, focusing on the three core dimensions of convenience, security and personalization. Research is conducted through questionnaires and empirical analysis. The study found that the convenience, security and personalization of digital banking services have a significant positive impact on customer satisfaction. Through an in-depth analysis of these service characteristics, this article puts forward strategic recommendations to improve customer satisfaction, aiming to help banks remain competitive and achieve sustainable development in digital transformation. The research results provide empirical support for the banking industry, emphasize the importance of service quality improvement and innovation, and provide a reference for banks' market positioning and service optimization in the digital era.
Reconstruction and Protection of Industrial Building Area: A Case Study of Beijing Shougang Park
Authors: Mo Xiangrui
Published: July 2024

In the current era, the reconstruction and protection of industrial heritage has gradually attracted people's attention. Shougang Park, as an important representative of Beijing industrial base, has great research value. Therefore, this study focuses on the history and present of Shougang and explores the road to revival of Shougang from both material and cultural perspectives. From the cultural point of view, Shougang culture has the characteristics of fragmentation and stratification. In the upper planning, Shougang bears the dual responsibilities of building a new landmark for urban rejuvenation, serving the Winter Olympics, and transforming and upgrading into a new landmark for the vitality of West Beijing city. Shougang this big IP not only has an industrial culture but also has the Winter Olympics, Yongding River, and a series of multicultural cores. A large number of industrial production and living buildings have created a strong historical atmosphere for the base, which has been rebuilt and reused to bloom new vitality. To the investigation, Shougang still has many problems such as incomplete reconstruction, inadequate management, and so on. Through the field investigation and data analysis, the improvement plan of optimizing the visiting flow, tracing the history, and improving the service quality is obtained. Work on both physical and cultural ends to create a diverse, vibrant, green, and sustainable post-industrial site.
Synthesis of Ecosystem Impacts of Lampreys Sex Ratio Based on the Von Bertalanffy and Lotka-Volterra Models
Authors: Yang Xuan
Published: July 2024

This study focuses on investigating the impact of changing sex ratios within the lamprey population on the broader ecosystem. To achieve this objective, a Von Bertalanffy growth model is developed, considering resource availability, to analyze how alterations in the sex ratio of lampreys influence the ecosystem. Firstly, the growth model of lampreys is integrated with ecosystem components. Secondly, unknown parameters of the model are obtained by simulating a comparative lamprey dataset. Additionally, an improved system dynamics model and metacellular automata model are utilized to simulate the effects of lamprey sex ratios on both the inorganic environment and the biological community, respectively. Furthermore, the study conducts a comprehensive analysis of resource utilization and reproductive success trends under varying sex ratios within a region, achieving a relative error of 5.5% between calculated and actual resource utilization values. The findings demonstrate that changes in sex ratio significantly impact population size fluctuations and ecosystem stability, with a sex ratio close to 0.5 favoring population reproduction and ecosystem stability. The refined model facilitates the attainment of population equilibrium over time turnover for both species, reflecting the ecosystem's self-regulation ability. These results provide insights into species' adaptation strategies in response to resource availability and shed light on the broader ecosystem implications of sex ratio changes across different species. This research contributes to a better understanding of ecological dynamics and informs future analyses of ecosystem responses to species-specific demographic shifts.
Preface: 2nd International Conference on Company Management, Accounting and Marketing (CMAM 2024)
Authors: Bartholomew Rachel , Meng Zhuo
Published: July 2024

This is our 2024 2nd International Conference on Company Management, Accounting and Marketing (CMAM 2024) which was held in Munich, Germany during June 15-16, 2024. This conference is an annual conference in the fields of company management, business statistics, economic systems, entrepreneurship, finance, investment, accounting, and marketing strategies that provides researchers and industry practitioners with a broader international forum to share their new ideas, original research results and practical development experience.
We believe that the participants of CMAM 2024 have gained knowledge and built networking with all researchers in the same field. We also hope this collection of papers can benefit the readers and continue to play a large part in the future of conferences. We ensure that a thorough peer review process was carried out and administered by the proceedings editors.
The organizers would like to thank the technical committee and expert reviewers for realizing this proceedings publication. We also thank the local organizers and conference office. They were very committed and worked hard in making this conference a success. Last but not least, we wish to thank all the participants who contributed and attended the conference which made the conference a successful event.
CMAM 2024 Organizing Committees
Munich, Germany
The Combination and Application of Vehicle-Connected Vehicle Intelligence and Digital Twin Technology
Authors: Lu Zhongxu
Published: July 2024

LTE-V2X car networking technology has garnered significant attention from research institutions worldwide. This technology has undergone two active phases of technological evolution, with onboard operating systems gradually enhancing functionality to support intelligent control service platforms and integrated businesses, while automotive electronic systems facilitate advancements in autonomous driving, and 5G technology sees increasing application. Key technologies revolve around the integration of intelligence and networking in smart cities. Vehicle networking technology fosters collaboration and interaction between vehicles, roads, and individuals. As information related to people, vehicles, and roads grows increasingly vast, and the surrounding environment becomes more complex, timely, effective, and accurate processing of this data is essential to ensure traffic safety, enhance traffic flow, and improve the driving experience and comfort for both drivers and passengers. Therefore, this paper proposes the application of V2X vehicle networking technology and digital twin technology to enhance vehicle intelligence, creating a corresponding digital space where various scenarios are simulated and analyzed, and accurate results are reflected in the real world. This approach aims to enhance the maturity and reliability of vehicle intelligence and autonomous driving functions.
Research on Stock Price Prediction Model based on Clustering-Sliced LDA and Gaussian Process Regression
Authors: Jiang Kuan
Published: July 2024

Multi-factor prediction techniques based on machine learning models are crucial methods in the field of financial quantification. However, these methods often encounter challenges such as curse of dimensionality and unknown structural connections. To address these issues, this paper proposes an adaptive linear discriminant analysis based on clustering-sliced approach, which can be utilized for continuous response variables. It not only resolves the curse of dimensionality but also extracts local information of predictor variables regarding the response variables. For fitting the unknown structural connections between predictor variables and response variables, Gaussian process regression is employed due to the flexibility of kernel functions, enabling it to fit complex connection functions. Furthermore, Gaussian process regression can simultaneously consider factor information and stock price volatility information, and provide uncertainty interval estimation for predicted values. Simulation data analysis demonstrates that the proposed method exhibits smaller mean squared error, absolute error, and relative error compared to some classical quantitative stock price prediction models. Finally, this model is applied to the task of predicting stock price fluctuations, revealing its higher accuracy and robustness compared to the benchmark methods.
Study of the Effects of Personality Traits on Team Collaboration and Organizational Performance
Authors: Jia Wenhui
Published: July 2024

Based on the Big Five personality and leadership theory, this paper reviews the research on individual differences and their impact on team collaboration and organizational performance. Firstly, this paper introduces the theoretical framework of personal traits, including the Big Five personality trait theory and the leadership theory model. These theoretical frameworks provide a basis for scholars to analyze individual traits and help establish the connection between individuals and organizational performance. Secondly, this paper summarizes the impact of different individual traits on team collaboration and organizational performance. Communication skills, openness and leadership are positively related to team collaboration. Effective use of personal traits can improve employee satisfaction and organizational performance. Finally, the paper illustrates how personal traits can be used effectively in teams and organizations to provide effective advice and innovative solutions for personal development and organizational management.
Application and Research of Voltage-Controlled Oscillator in Phase-Locked Loop
Authors: Xu Tao
Published: July 2024

The first PLL chip in history was created by some researchers in the middle of the 1960s. PLL has significant uses in numerous industries, including communication and aerospace, because to its clear benefits. It can accomplish a wide range of tasks at a reasonable cost. This paper delves into the application and study of Voltage-Controlled Oscillators (VCOs) within Phase-Locked Loops (PLLs), crucial components in modern communication technology. Various VCO design techniques, including Colpitts, Clapp, ring oscillator, and CMOS VCOs, are analyzed with a focus on performance metrics such as phase noise and tuning range. The research also presents innovative high-performance VCO designs, showcasing advancements in frequency switching and phase noise reduction. Practical applications of VCOs within PLLs are explored through case studies, highlighting their role in aerospace sensorless control schemes and communication system distributed beamforming. The paper underscores the significance of VCOs in achieving stable frequency outputs and enhancing system performance, offering insights into future advancements in communication technology. Through detailed analysis and case studies, The goal of this research is to support the continuous improvement and enhancement of VCOs in PLL systems.
Study on Distribution Car's Mechanical Structure Design
Authors: Fan Nuo
Published: July 2024

Unmanned delivery services have become a part of everyday life as science and technology have advanced. In addition to reducing labor expenses, it guarantees food safety and addresses privacy concerns for users. As a result, more and more consumers are requesting unmanned delivery services. There are many food delivery cars available on the market these days, but the most of them suffer from issues like low load capacity, comparatively few service objects, and mechanical structures that need to be further improved. Customers will naturally sense if the delivery car is inefficient, particularly during prime eating hours, these issues require immediate attention. This article proposes an intelligent car that can considerably increase the load rate and simultaneously perform several food delivery services in order to address the aforementioned issues. Simultaneously, it will incorporate an active four-wheel steering system to guarantee that the vehicle can accomplish the meal delivery mission with greater agility and comfort. The rendering model of this new food delivery vehicle is the end product of designing the perfect model and using SolidWorks modeling to make the material requirements evident in relation to the environment. Ultimately, a thorough analysis of the trolley's mechanical construction is presented, along with a detailed description of its operation, potential exceptional scenarios, and appropriate operating techniques. The new distribution car greatly increases the load capacity and work efficiency by refining the mechanical structure. It can fulfill the majority of the distribution needs for smart automobiles, depending on the particular use environment and usage in conjunction with other smart plates.
Enhanced Small Target Detection Methodology via Optimized YOLOv8 Framework
Authors: Zhao Yingjun , Rodelas Nelson C.
Published: July 2024

In the grand palace of computer vision, object detection as a bright pearl, its research and practice value in automation, efficiency improvement and scientific and technological progress occupy a pivotal position. This paper takes YOLOv8 model as the cornerstone of research, and conducts in-depth optimization and exploration on its loss function, network structure and feature extraction mechanism, aiming at significantly improving the model's ability to identify small targets. Specific optimization measures are as follows: (1) The integration of a deformable convolutional module within the YOLOv8 backbone network represents a significant advancement. This strategic modification allows the model to adaptively tailor its receptive field in response to the unique attributes of small targets. Consequently, the model is endowed with the capability to concentrate more precisely on these targets, thereby substantially enhancing detection accuracy. (2) the incorporation of an attention mechanism into the neck structure of the model serves as a sophisticated enhancement. This mechanism functions akin to a discerning filter, adept at extracting salient features from a vast array of information. (3) this research introduces a groundbreaking method for calculating the Intersection over Union (IoU) loss function, termed HIoU. This innovative approach dynamically modulates the weights of the loss function components throughout the training process. The result is a more precise alignment of small targets with their corresponding ground truth bounding boxes, leading to a marked enhancement in the detection performance of small targets.
French event framework language structure analysis
Authors: Zhao Xinyue
Published: July 2024

Based on the Talmy framework language classification standard, Slobin language-thinking hypothesis and Kopecka type comparison study, different types of linguistic space expression and text coding paths differ significantly, focusing on the morphemes of expression paths in moving events under the French event framework. Through the corpus analysis of specific verbs, the paper presents a tripartite model of "starting window preposition, mid-window preposition and end-window preposition" based on window theory. This paper analyzes the different types of verbs in the representation path and the different ways of the representation displacement, and further discusses the language types.This highlights the distinctive features of language types.
Preface: 2nd International Conference on Financial Mathematics, Investment and Business Management (FMIBM 2024)
Authors: Ulysses Dominic , Wang Xun
Published: July 2024

The 2024 2nd International Conference on Financial Mathematics, Investment and Business Management (FMIBM 2024) offers a remarkable opportunity to the participants to discuss topical issues on applied economics, financial mathematics, investment, market structure and pricing, and business management.
FMIBM 2024 was held in Phoenix, USA from May 25-26, 2024. This conference aims to bring together researchers, scientists, engineers, scholars and students, exchange and share their experiences, new ideas and research results in various aspects, and discuss practical challenges encountered and solutions taken.
More than 50 participants attended the conference, and many of them were young scholars. FMIBM 2024 wishes to acknowledge the generous contribution from all authors. Their contributions to this conference were instrumental to its overall success.
Organizing Committees of FMIBM
Phoenix, USA
Sports Coaching and Adaptability of New College Student Athletes in A Medical College in Henan Province
Authors: Li Bihao
Published: July 2024

Sports coaching remains to be a challenging tasks from among coaches in any sports events, but the coaching process itself remains to be more challenging for athletes particularly those new athletes who are trying their luck as athletes and who have just entered in the realm of gaming and sports. The sense of their adaptability to such sports maybe a daunting task because it requires a positive results that is ultimately winning the said sports events. This study is deemed by the researcher because being a teacher in a medical college where sports is not the main agenda and not the main focus of the curriculum, it is quite interesting to note how do athletes basically the new ones adapt to the sports they are in and how they adapt to the sports coaching given to them. Sports coaching is currently encountering a notable challenge. Although the field of physical education and athletic coaching has transitioned from an informal, experiential practice to a formalized profession with established standards and certifications, there remains a prevailing lack of comprehension and acceptance regarding its professional status. The study will assess college students' assessments of the level of sports coaching professionalism exhibited by their instructors. It will also evaluate the current level of sports adaptability among these students. Furthermore, it will examine whether there is a significant correlation between these two variables and whether this relationship is influenced by the students' demographic profiles.
Mechanisms of Fire Disturbance Response to Forest Soils
Authors: Xia Liheng , Ma Chenguang
Published: July 2024

Forest soil microorganisms, as an indispensable component of soil ecosystems, play a key role in maintaining, regulating and promoting the process of material cycling, energy flow and natural succession in the whole forest ecosystem. Soil microorganisms are powerful promoters and participants in biogeochemical cycles, especially soil elemental cycles. Some fungi in soil can form a symbiosis-mycorrhiza with plant roots, which can help plants to absorb nutrients, resist diseases, and enable plants to stand in harsh environments such as barrenness, drought, or saline stress. At the same time, it can also decompose and utilize lignin, cellulose and macromolecules of organic matter in the soil that are difficult to decompose, providing nutrients for plants.
Optimizing human SIRT6 protein with deep learning of 3D structures based on maximum lifespan
Authors: Zhang Yanfei , Ruan Zhenchao
Published: July 2024

Aging is the largest risk factor for many diseases, and it is thus of great social and medical importance to delay the appearance of aging traits or promote healthy aging. The protein SIRT6’s function promotes longevity, but it is still unclear whether the function of SIRT6 can be further optimized through protein sequence engineering. Here, we developed a comprehensive framework of sequence optimization methods for functional proteins utilizing both sequence and structure. We used RoseTTAFold to predict the structural variance of SIRT6 sequences across 142 mammalian species and then analyzed the association between the maximum lifespan (MLS), sequence, 3D structures, and amino acid selection of SIRT6. By fine-tuning the ESM model, we developed a model that is capable of accurately predicting the MLS of the species from SIRT6 sequence (Pearson’s r = 0.818, MAE = 8.608 years). We further generated mutant sequences of the human SIRT6 using ProteinMPNN and analyzed different sites’ importance in longevity based on their impact on predicted MLS. 37 sites that play a key role in sequence function were identified. Among them, 20 sites located in the NAD+ binding area and β1-sheet, followed by 9 sites on the α1-helix, were found to have the greatest impact on MLS. We then tested the enzymatic efficiency of 2 novel SIRT6 sequences (with predicted MLS increase of 16.5% and 20.1%) in vitro, and showed that their DNA double-strand break repair efficiency is indeed higher than the human ortholog SIRT6 sequence. Our study demonstrates that despite being highly conservative in evolution, there is still room for optimization in human SIRT6. We not only found a high correlation between MLS and protein sequence or structure, generated experimentally-validated optimized strains, but also identified key sites affecting protein function that have varying importance, thereby providing novel insights into potential anti-aging interventions.
Analysis And Comparison Based on Multiple Uav Landing Gear Structures
Authors: Tan Litong , Yu Xinyang , Zhou Chengming
Published: July 2024

In recent years, the application of UAVs has become increasingly widespread, involving increasingly complex scenarios and environments. To ensure the safe takeoff and landing of UAVs in various environments, the landing gear plays a crucial role as an important mechanism to support the UAV fuselage. This paper aims to summarize and compare the advantages and disadvantages of various UAV landing gear mechanisms, and to discuss the future development trends of landing gear. Through analyzing various types of landing gears such as retractable structure landing gears, modular landing gears based on habitat principle, inflatable float water landing gears, and bionic remora fish suction cups, it is found that retractable and automatic retractable simple structures are characterized by light weight, and that inflatable float structures can help UAVs complete landing and takeoff on the water more smoothly and safely when they are involved in water work. However, bionic landing gears have significant advantages regarding development convenience and adaptability to special environments. For example, a modular landing mechanism based on the principle of habitat can help UAVs complete the landing and take off of street signs, street lamps, and branches in multiple scenarios by utilizing a simple gripping hand design. The future development trend of landing gear design will mainly focus on lightweight, multi-environment adaptability, and modular replaceability. Modularized and replaceable landing gear design ideas will provide UAVs with more abundant and flexible options, reducing maintenance and replacement costs.
From Evertoys to LEGO: Exploring Sustainable Development Models in the Toy Industry
Authors: Zeng Huazixi
Published: July 2024

In the context of global environmental challenges and resource depletion, this study focuses on sustainable development models in the toy industry. The study mainly explores Evertoys’ and the LEGO Group’s adoption and implementation of environmentally friendly business models. Through literature review and case study analysis, this paper examines in detail how these companies address environmental challenges in the whole process of toy production and consumption through innovative business models and sustainable development strategies. The findings indicate that Evertoys' subscription service model and LEGO's recycling program effectively reduce the demand for new toys, promote resource conservation and toy reuse, and provide consumers with more environmentally friendly toy usage options. In addition, these measures are conducive to mitigating the negative environmental impacts of toy production and disposal, driving the industry towards more sustainable development. To sum up, sustainable development in the toy industry requires collective efforts from industry participants, including the adoption of eco-friendly materials, improvement of production processes, increased consumer awareness of sustainable toy choices, and enhanced recycling and circular utilization of toys. Furthermore, policy support from governments and relevant institutions is a key factor in promoting sustainable development in the industry.
Analysis of treatment methods for liver cancer
Authors: Han Xi
Published: July 2024

Cancer is a challenging disease to treat and has resulted in numerous fatalities. Among these cancers, liver cancer accounts for an important proportion of deaths from cancer and has become one of the main causes of human death. To this end, the treatment of liver cancer is of utmost importance, and scholars worldwide are exploring ways to cure it. Currently, several liver cancer treatment methods have significantly advanced. Different regions have varying treatment methods for liver cancer patients, including targeted drug therapy like sorafenib and the use of viruses to destroy cancer tissue. It is crucial to summarize the advantages and disadvantages of different treatment plans as they are suitable for different patients. This research will analyze existing therapies used in the treatment of liver cancer, highlighting their present situation with deficiencies. The relevant achievements of scholars from different countries are discussed to function as a reference for the subsequent development of liver cancer treatment.
Research on Risk Management in Internet Finance under the Big Data Background
Authors: Hu Ying
Published: July 2024

With the rapid development of Internet technology, Internet finance models have emerged rapidly, becoming an indispensable part of the modern financial system. The widespread application of big data technology provides a new perspective and tools for risk management in Internet finance. Internet finance models cover various aspects such as currency payment, currency issuance, currency raising, and investment and financial management. These models have changed the way financial services are provided, promoting the diversification and popularization of financial markets. However, with the continuous emergence of Internet financial products such as crowdfunding, P2P lending, and third-party payment services, their risks and challenges have gradually surfaced. On one hand, small and medium-sized enterprises face many difficulties in the financing process, such as information asymmetry and imperfect credit systems. On the other hand, financial institutions also face significant challenges in risk control and regulation. To address the difficulties in small and medium-sized enterprise financing, bank risk control, and sector regulation, financial institutions need to continuously increase their technological investment, promote the implementation of robotic process automation, accelerate the use of AI technology in financial business, and reduce the probability of financial business execution errors.
Risk Analysis of Real Estate Enterprises Based on the Z-Score Model
Authors: Zhong Jun , Huang Ting , Cao Jing
Published: July 2024

In recent years, the news of China's real estate industry's violent thunder is endless, so it is more important for major real estate enterprises to identify, analyze and prevent financial risks. This paper takes Greenland Group as the research object, selects its financial data from 2015-2022, calculates the relevant financial indicators, adopts the method of combining traditional financial risk analysis and Z-score model, and researches that Greenland Group's solvency, operating ability and profitability are weak, and its financial situation has been in the bankruptcy zone, with high financial risk; and analyzes the reasons for the generation of financial risk. Feasibility suggestions are put forward to help Greenland Group reduce the overall financial risk and provide reference for the majority of real estate enterprises.
Password Strength Evaluation via Zipf's Law and Password Entropy
Authors: Zhang Jiajing , Xu Yang , Liu Hongda
Published: July 2024

Password strength assessment is pivotal for safeguarding information security. While conventional methods primarily emphasize password length and character diversity, they often overlook character distribution patterns. Our paper introduces a novel password strength evaluation method leveraging Zipf's Law and the password entropy model. Despite the importance of password strength evaluation in ensuring information security, current methods frequently rely solely on password length and character combinations, disregarding character distribution patterns. By integrating Zipf's Law, commonly observed in natural language and passwords, into our evaluation framework, we propose a more comprehensive and precise method. Through experiments utilizing diverse password datasets and comparative analysis with traditional approaches, we validate the superior accuracy and reliability of our proposed method in assessing password strength. This research holds significance in enhancing password security assessment methodologies and offers more effective support for password management and information security.
Digital Transformation of Enterprises and Corporate Financialization
Authors: Li Jianan
Published: July 2024

With the rapid evolution of digital technology, corporate digitization has emerged as a major strategy for accelerating China’s economic transformation. However, economic transformation is not without obstacles. Since the amount of financialization in firms increases during the digital transformation, compounding the issue of enterprises "moving away from the real economy." Based on data from Chinese listed non-financial firms from 2011 to 2022, this article explores the influence of digital transformation on non-financial enterprises' financialization. The results reveal that digital transformation promotes non-financial firms to increase holdings of financial products, boosting the extent of financialization. Through further theoretical analysis, it is found that digital technology facilitates enterprise access to capital markets and stimulates the motivation for financialization through the avenues of "reserve motive" and "investment substitution". This paper provides empirical evidence for the exacerbation of financialization in non-financial enterprises due to digital transformation, and theoretically elucidates the underlying mechanisms, offering valuable insights for the sound evolution of enterprise digital transformation.
Research on lake water level dynamic adjustment model based on ARIMA and pPSA
Authors: Wu Xinyi , Lu Huaizheng , Huang Kexin , Wang Ruoyu
Published: July 2024

The aim of this study is to construct a time-water level dynamic adjustment model to effectively manage lake levels and maximize the needs of relevant stakeholders. First, the time-series information was stabilized by constructing difference equations and using lagged differences, thereby eliminating data fluctuations. Second, by fuzzy modeling natural factors (e.g., evaporation and precipitation), we constructed an autoregressive integral moving average model (ARIMA) for fuzzy modeling of water levels. Finally, we use perturbed particle swarm algorithm (pPSA) for dynamic adjustment of water level to avoid local optimal solutions and improve model adaptability. Experimental results show that our model has better performance in stabilizing water level, accurate prediction and sensitivity analysis.
Study of the Environmental Ethical Responsibilities of Engineers
Authors: Xie Zihan
Published: July 2024

With the evolution of the times and the rapid development of science and technology, our living environment has undergone great changes, and these changes are inseparable from our engineering activities. While the development of modern engineering activities brings us convenience, it also brings many uncertainties to the current natural and social environment. Among them, engineers, as the most important part of engineering activities, have a more direct impact on the environment. This paper describes the current situation faced by engineers and the challenges of environmental ethics to engineers by investigating relevant background information. Immediately after that, it analyzes in depth the ways for engineers to realize their environmental ethical responsibilities and the significance of their formation, so that they can balance engineering activities and the environment and try to find the optimal solution.
An Analysis of Marketing Strategy for Cotti Coffee—Comparing with Luckin Coffee
Authors: Lu Yuehan
Published: July 2024

Luckin Coffee is a Chinese Coffee brand, dominating local coffee market recent years. As competition in the coffee market intensifies, Cotti Coffee has taken a series of strategic layouts at a remarkable speed. Based on the rapidly sinking coffee market in China, this article conducts a detailed investigation into the products, prices, and promotion of Luckin Coffee and Cotti Coffee. By summarizing the relevant articles written by predecessors, it is found that Luckin Coffee and Cotti Coffee both use low prices to increase sales and increase profits. Luckin Coffee has a more comprehensive marketing strategy than Cotti Coffee. Luckin Coffee has done an unparalleled job compared to Cotti Coffee. So that, Cotti Coffee requires to create a unique market competition strategy to improve its profitability. Cotti Coffee needs to create a unique marketing strategy by developing tea products, determining appropriate prices for tea products, and promoting the uniqueness of tea products.
The Impact caused by the COVID-19 Pandemic on the Price of Chemical Raw Materials: Take Butyl Acrylate (BA) for Example
Authors: Dong Leyao
Published: July 2024

The chemical manufacturing industry was deeply shocked by COVID-19 pandemic in the first half of 2020, however, the price change of chemical raw material didn’t present an apparent trend. This paper explores and analyses the situation of chemical raw material market in detail by collecting the weekly price offers for butyl acrylate in East China before and after the outburst of COVID-19 in China. After building an ARIMA model for the price and comparing its prediction with the actual value, it was clearly found the price of chemicals dropped severely because of the pandemic, and conclusion is made that the in-depth reason was the sharp drop of demands in downstream industry, which is also appropriate for most chemicals, especially those related to petrochemical industry. The study highlights its detailed research on the factors related to price fluctuation and the use of ARIMA model for simulating the price under the hypothetical situation with no pandemic happening, which is a new method for researches on chemical industry researches, and it provides subsequent researchers with a more effective perspective comparing with traditional chemical researches using quantitative experiment and comparison. And the study is also referential for policy makers in the government on making market regulation and macroeconomic control, as the interpretation for price change of chemicals in this study is important for all industry workers concerned.
Current Status and Advances for Polymers in the Active Layer of Organic Solar Cells
Authors: Zhang Haoxuan
Published: July 2024

Currently, the development and utilization of green energy is a hot research topic in today's society. Among the many new energy technologies, research on organic solar cell panels is receiving significant attention. In recent years, organic solar cells have made tremendous progress. They have evolved from their beginnings in 1839 to now achieving photoelectric conversion efficiencies exceeding 19%. They possess numerous advantages such as low cost, light weight, ultra-thinness, flexibility, and ease of large-area preparation. In the future, they have broad application prospects in fields such as flexible batteries and photovoltaic building power supply. The active layer in organic photovoltaic panels includes acceptors and donors, which are important factors determining the efficiency of photovoltaic cells. With the development of science and technology, many materials in the active layer have been significantly improved, such as thiophene compounds, graphene compounds, and non-graphene compounds. The development of these materials has expanded the spectral absorption range of the active layer, optimized energy level matching, and greatly improved device efficiency. Compared with traditional inorganic solar cell panels, their conversion efficiency is not yet outstanding, and there are still many problems to be solved.