bluuebunny/crossref_metadata_2025 huggingface dataset:
Bioconversion Progresses of Organic Solid Waste
Authors: Hu Jianxue
Published: June 2024

With the increasing shortage of global resources and energy, the green recycling and utilization of organic solid waste have become global research hotspots. As representatives of green and clean technologies, the application of bioconversion in organic solid waste has achieved remarkable progress. In this article, the research progress on the major biotechnologies utilized in organic solid waste in recent years is summarized, including landfilling, composting, anaerobic digestion, and anaerobic fermentation. Then, the achievements of bioconversion in the reduction, harmlessness, and resource utilization of different kinds of organic solid waste, such as agricultural and forestry solid organic waste, food waste, and activated sludge, are discussed. Finally, the article provides suggestions for the future development of organic solid waste.
Applications of Data Visualization Technology in Artificial Intelligence
Authors: Xia Yanyan , Wei Hang
Published: June 2024

This paper systematically explores the applications of data visualization technology in artificial intelligence (AI). Data visualization plays a crucial role in various stages of AI, from data preprocessing, feature engineering, model training, and evaluation, to result interpretation and presentation. By offering intuitive visual representations, data visualization aids in understanding and exploring complex high-dimensional data, thereby enhancing data processing efficiency and model reliability. In the data preprocessing stage, visualization tools effectively identify outliers and noise, assisting in data cleaning and quality control. During feature engineering, techniques like Principal Component Analysis (PCA) and t-SNE help in feature selection and dimensionality reduction, improving model performance. Model training and evaluation benefit from visualizing performance metrics, facilitating model adjustment and optimization. Explainable AI (XAI) methods, such as LIME and SHAP, use visualization to enhance model transparency and credibility by illustrating decision-making processes. Despite the advantages, challenges remain in visualizing large-scale, high-dimensional, and real-time data, requiring advanced computational power and sophisticated algorithms. User cognition and interpretation pose additional challenges, necessitating intuitive and interpretable visualization interfaces. Data privacy and security also need to be ensured in the visualization process. Future developments in data visualization will focus on enhancing user interaction through technologies like VR and AR, integrating automation and intelligent features, and leveraging efficient computing resources. Open data and open-source tools will promote cross-disciplinary collaboration and technological innovation. Overall, data visualization technology will continue to play a vital role in AI, enhancing the efficiency, transparency, and interpretability of AI systems while addressing the ongoing challenges through continuous technological advancements.
Research on User Behavior and Content Consumption Trends in the Era of New Media
Authors: Zhu Jianing
Published: June 2024

This article aims to delve into the research on user behavior and content consumption trends in the era of new media, providing valuable insights into understanding contemporary cultural, economic, and social changes. Firstly, by analyzing the characteristics of user behavior in the new media era, it is revealed that user behavior exhibits features such as diversity, real-time interaction, and personalization, exhibiting strong interactivity in the digital environment. These characteristics reflect users' behavioral patterns and preferences in the digital landscape, significantly influencing content consumption. Secondly, the article explores the trends in content consumption during the new media era, including content personalization, diversification of content formats, and the rise of User-Generated Content (UGC). These trends not only reshape the way content is produced and disseminated but also profoundly impact user behavior and consumption patterns. Furthermore, the relationship between user behavior and content consumption is thoroughly examined, uncovering the interplay and influence between the two.
Study on the Dynamic Relationship between Education Investment Policies and Income Distribution
Authors: Xu Rui
Published: June 2024

The core objective of this study is to deeply explore the complex interactive relationship between education investment policies and income distribution. The aim is to comprehensively analyze the specific mechanism of education investment in shaping the income distribution pattern, and to examine in detail how income distribution inequality issues feedback and affect the design, implementation, and effectiveness of education investment policies. To achieve this goal, the study will systematically review relevant theoretical frameworks and empirical research results, aiming to reveal the deep logic of mutual influence and causality between the two. The research will focus on the impact path of education investment on income distribution, including but not limited to: improving individual human capital, enhancing employment competitiveness, and thereby affecting individual income; By improving the overall education level of society, promoting the upgrading of industrial structure, indirectly affecting the overall income distribution structure; And the impact of the differential distribution of education investment between urban and rural areas and regions on income inequality. We will conduct a detailed analysis of how changes in education investment in dimensions such as scale, structure, and efficiency can be transformed into reshaping forces on income distribution patterns. We will delve into the reverse shaping effect of income inequality on education investment policies and propose targeted policy recommendations.
Research Progress on the Composition and Interaction of Microbes in Kombucha
Authors: Cao Aqi , Qiu Weihua
Published: June 2024

Kombucha, a fermented beverage produced by a symbiotic culture system of bacteria and yeast (SCOBY), is rich in bioactive compounds, thereby exhibiting various health benefits. In recent years, kombucha has gained global popularity as a healthy fermented beverage, leading to an upsurge in worldwide research interest. The diversity of microbial communities and the interactions between microorganisms play a vital role in the formation of unique flavor and health benefits of kombucha. At present, they have aroused widespread research interest worldwide. This review systematically summarizes recent achievements in research on the microbial composition and interactions in kombucha fermentation. Firstly, the progress obtained on the microbial species identification and the characteristics of their composition of kombucha were summarized. Then, the current researches on the interactions of the native microorganisms in Kombucha SCOBY were presented, as well as the interactions between additional microorganisms and native microorganisms. Finally, the dynamic changes observed during kombucha fermentation, including microbial species composition and key active substances such as organic acids and polyphenols, were reviewed. This article aims to provide valuable reference for using targeted microbial regulation to enhance the fermentation efficiency, and optimize product quality and efficacy of kombucha.
Research on the Implementation Path of Basic Training for Party Member in University
Authors: Li Jing , Yu Xuan
Published: June 2024

The main purpose of the research is to ensure that party members, teachers and students can receive the necessary basic training, so as to improve their ideological and political level, professional quality and education and teaching ability. The purpose of this research is to promote the construction of party members in colleges and universities and the improvement of the quality of teachers and students, so as to better adapt to and promote the development of college education. In this paper, from the purpose, implementation path, method and innovation of four parts of the basic training of university party members teachers and students to fully cover the implementation of the path.
Advancing Deep Learning: A Comprehensive Comparative
Authors: Wang Zien
Published: June 2024

This manuscript conducts an in-depth comparative analysis of three seminal works in the realm of Convolutional Neural Network (CNN) accelerators using Field-Programmable Gate Arrays (FPGAs). It meticulously evaluates the architectural designs, performance benchmarks, and innovative methodologies employed in each study. The analysis delves into the intricacies of these works, spotlighting their distinct and innovative contributions to the advancement of FPGA-based CNN acceleration. By critically appraising the strengths and limitations of each approach, this paper synthesizes key insights, shedding light on prevalent trends and identifying persistent challenges within this rapidly evolving field. It discusses how each work navigates the trade-offs between efficiency, flexibility, and computational power, which are inherent in FPGA-based systems. Moreover, this comparative study serves as a comprehensive resource that encapsulates the state-of-the-art in FPGA-accelerated CNNs. It not only benchmarks the current technological landscape but also charts potential pathways for future research endeavors. By amalgamating diverse perspectives and methodologies from leading research, the paper aims to inspire and guide ongoing and future investigations, driving innovation in the optimization and application of FPGA-based CNN accelerators. This endeavor is particularly timely, given the escalating demand for high-performance, energy-efficient computational models in domains ranging from autonomous systems to real-time data analytics.
Preparation and Properties of Temperature Resistant and Salt Resistant Lotion Fracturing Fluid Thickener
Authors: Gao Rongsheng , Cao Yiping , Yu Chen , Zhang Xianghui , Liu Qi , Wu Lanbing
Published: June 2024

In order to prepare fracturing fluid with excellent solubility, temperature resistance, salt resistance and shear resistance, acrylamide (AM), 2-acrylamide-2-methylpropanesulfonic acid (AMPS) and acryloylmorpholine (ACMO) were copolymerized, and anionic cellulose was introduced to synthesize a new type of polyacrylamide copolymer p (AM/AMPS/ACMO) through inverse emulsion polymerization. The structure and morphology were characterized by infrared spectroscopy and scanning electron microscope. The results showed that in 0, 5, 10, 20, 50, 100, 150 and 200 g/L NaCl, CaCl2, and MgCl2 solutions, the viscosity of p (AM/AMPS/ACMO) solution modified by PVA fiber was always higher than that of conventional PAM solution, and the polymer modified by PVA fiber had better salt resistance. The anionic cellulose modified thickener was sheared at 120 ℃ and 150 ℃ for 1 h at 170 s－1, and the viscosity after shearing is 89.92 mPa·s and 80.10 mPa·s, respectively, which is much higher than the viscosity required by the general technical conditions of fracturing fluid more than 50 mPa·s, indicating that anionic cellulose modified p (AM/AMPS/ACMO) has good temperature and shear resistance.
From Utopian Socialism to Modern Welfare States: The Evolutionary Trajectory of Social Welfare Thought
Authors: He Chaozhen
Published: June 2024

This study charts the progression of social welfare ideology from 19th-century utopian socialism to contemporary welfare state configurations. It initiates with a critical appraisal of utopian socialist tenets-advocated by Owen, Fourier, and Saint-Simon-underscoring communalism, social cohesion, and equitable resource allocation. The analysis then traverses the path towards practical reforms, such as Bismarck's insurance schemes and British liberal interventions, which set the stage for state involvement in welfare. A central inflection point, the Beveridge Report, is scrutinized for its blueprint of a comprehensive post-war welfare system in Britain, marking the advent of the modern welfare state era. Following this, adaptations in Europe, notably Scandinavian models, encounters with neoliberalism and globalization, and the rise of sustainability concerns and universal basic income discussions are elaborated. Employing historical, theoretical, and comparative methodologies, the research emphasizes the endurance of utopian principles amidst welfare model evolution, engaging with debates on dependency, state efficacy, and governance. The conclusion contemplates the future trajectory of social welfare amidst societal shifts, advocating for adaptable, inclusive, and environmentally conscious systems that harmonize utopian aspirations with practical realities.
The Implementation Strategies of MTI Translation Teaching from the Perspective of Cognitive Linguistics
Authors: Zou Liwei
Published: June 2024

This paper is mainly concerned with the implications of cognitive linguistics for MTI translation teaching, with an emphasis on the implementation strategies and teaching procedures. Cognitive linguistics sheds new light on translation teaching by focusing on the translation process itself and regarding translation as a cognitive activity of the translation subject. The three major steps of translation teaching include both the design of the framework structure and the handling of the details, reflecting the teaching philosophy of teachers as “guiders” and “facilitators” and students as “active constructors of knowledge meaning”, which provides practical ideas for the adjustment of translation teaching.
A Review of the Factors Affecting the Effectiveness of Corrective Feedback
Authors: Sun Xin
Published: June 2024

Corrective feedback, as one of the most important research topics in recent years, has attracted much attention in the field of second language acquisition. This paper will outline the factors affecting the effectiveness of corrective feedback based on nearly 20 pieces of high-quality literature in recent years. The results of the analysis show that the effectiveness of corrective feedback is mainly influenced by external pedagogical differences, which can be categorized into the different types of corrective feedback and the different targets of corrective feedback, and learners’ individual differences, which can be categorized into the learners’ language proficiency and learners’ emotions. In a number of studies, scholars have also expressed that corrective feedback will still occupy a significant position in teaching in the future, and more scholars still need to pay attention to its significance and conduct exploratory research.
Student Leadership Qualities through Academic Sports Diplomacy and Qualities
Authors: Gong Xiaoming , Chang Liza
Published: June 2024

This research investigates the field of academic sports diplomacy, with a specific emphasis on the leadership abilities and levels of involvement exhibited by student-athletes. By conducting a thorough analysis, this study reveals valuable insights regarding the evaluation of leadership skills in student-athletes across different dimensions. These dimensions encompass modeling the way, encouraging the heart, enabling others to act, challenging the process, and inspiring a shared vision. Furthermore, this study investigates the level of involvement of student-athletes in academic sports diplomacy. This includes activities such as student-athlete exchanges, international sports competitions, cultural sports exchange programs, international sports projects, and cross-country competitions. The research emphasizes a positive relationship between leadership abilities and involvement in sports diplomacy initiatives, emphasizing the significance of leadership training in promoting active engagement. Furthermore, this study illuminates important challenges encountered by student-athletes, including limitations on time, gaps in awareness, the necessity for skill development, the juggling of competing priorities, the importance of cultural comprehension, and the significance of collaborative efforts. The results of this study provide valuable insights for the creation of strategies and programs that aim to empower student-athletes in their role as effective representatives of sports diplomacy. These initiatives seek to foster cultural connections and inspire positive global transformations.
Relationship Between Different Ethnic Groups and COVID-19
Authors: Wang Xiaoying
Published: June 2024

Current studies on COVID-19 do not sufficiently investigate the link between various racial and ethnic groups and the pandemic, despite growing awareness of disparities in race in the United States. However, the current research findings showed a heightened incidence of COVID-19 among Black individuals in this country, suggesting an increased prevalence of infection within this specific demographic. The relationship between different ethnic groups and COVID-19 is complex and influenced by various factors, including genetic composition, socioeconomic factors, pre-existing health gap, and immune reaction. Furthermore, those are the indirect factors related to stress that may contribute to increased vulnerability to COVID-19 in certain populations, including African-American/Black People, Hispanics, and other minority groups. It's important to address the fact that these factors are complex, multifaceted, and influenced by biological, social, economic, and psychological factors. It's urgent to address these underlying issues to reduce health disparities to improve the overall well-being of marginalized communities. Public health efforts should focus on promoting equity in access to healthcare, education, and economic opportunities to mitigate the impact of stress on health outcomes.
Problems and Improvement of The Guardianship Supervision System for Minors in the Civil Code
Authors: Huang Wanhong , Zhou Xiaoqi
Published: June 2024

In recent year, the issue of supervision of minor guardianship has gradually become a hot topic of discussion. To a large extent, it is related to the frequent occurrence of cases of children's injuries due to the negligence of the guardians of minors in fulfilling their guardianship duties. At present, China has established a guardianship system which is mainly based on family guardianship and supplemented by state guardianship. However, this is only the relevant provisions of the juvenile guardianship system, and the system of juvenile guardianship supervision is still scattered in the Law on the Protection of Minors, the Civil Code, and the Law on Combating Domestic Violence, etc., which is most obviously manifested in the generality and limitations of the provisions of the juvenile guardianship supervision system, and the limitations of the scope of the adjustments have led to the passivity of the minors in safeguarding their rights. Modern society advocates "children's rights-based", under this trend, the custody of minor children will not only the family within the matter, but also should be included in the adjustment of society and the state, with the help of their power to safeguard the legitimate rights and interests of minors. In this paper, we will start from the existing system of supervision of minors' guardianship in China, discuss the lack of supervision system of minors' guardianship, and put forward some suggestions for improvement.
System Dynamics Simulation of China's Electric Vehicle Market Development Trends
Authors: Wang Yufei
Published: June 2024

The global new energy vehicle industry is currently in a phase of rapid development, with the growth of China's new energy electric vehicle sector being dynamically regulated by various factors within the overall market. Consequently, this study considers the competitive relationship with traditional fuel vehicles and the policy and economic factors present in international trade. Utilizing system dynamics models and dynamic simulations based on graph theory, the research analyzes the future development trends of the overall automobile market and China's new energy electric vehicles. The results indicate that electric vehicles globally will have a disruptive impact on the traditional fuel vehicle market. In situations where China's new energy electric vehicles significantly challenge the traditional fuel vehicle market, the market share of electric vehicles is expected to grow at a high rate over the next 30 years, rapidly increasing from 0.4 to 0.87. Different governmental guidance measures can create up to a 17% difference in market share. In foreign markets, under the global context of 'carbon peaking' and other low-carbon initiatives, or in scenarios where Chinese electric vehicles have a competitive advantage, the impact on the development of China's new energy vehicle industry is relatively minor.
Can Digital Transformation in Enterprises Improve Green Total Factor Productivity? An Empirical Study Based on Data from Chinese Listed Companies
Authors: Wang Meixi
Published: June 2024

The article is based on data from China's A-share listed companies from 2007 to 2022, empirically examining ow corporate digital transformation influences overall green productivity. The study indicates that the implementation of corporate digital transformation has a substantial positive impact on green total factor productivity (GTFP). This finding remains consistent even after undergoing rigorous robustness tests. Heterogeneity test results indicate that regions in the central and west the central, heavily polluting industries, and large-scale enterprise samples, the improvement effect of digital transformation among corporation on supply chain efficiency is more pronounced. Mechanism analysis suggests that digital transformation positively influences GTFP by promoting green innovation and enhancing supply chain efficiency. The research findings contribute to uncovering the inherent logic behind advancing the GTFP of companies through digital transformation, providing inspiration and reference for advancing high-quality development in businesses.
A Study on the Impact of Intellectual Property Protection on Regional Innovation Efficiency Based on Mediation Effects: Evidence from China
Authors: Guo Yunhao , Lin Kangzhe
Published: June 2024

In the context of escalating economic globalization, global scientific and technological endeavours have surged, catalyzing intensified competition among sovereign entities. Currently, human society is in the throes of transitioning to a new economic epoch characterized by a foundation in knowledge resources. Within this epoch, technological innovation and intellectual property emerge as pivotal in augmenting the core competitiveness of nations. This investigation, leveraging data spanning from 2011 to 2020 across 30 provinces, municipalities, and autonomous regions within China (excluding Tibet, Hong Kong, Macao and Taiwan), employs a moderating mediation effect model to scrutinize the mechanism by which the intensity of intellectual property protection influences regional innovation performance. The empirical findings elucidate that the enactment of pertinent policies not only reinforces the safeguarding of intellectual property, thereby amplifying regional innovation efficiency and the level of scientific and technological progress; however, it concurrently elevates the expenditures associated with scientific research and development. For small and medium-sized enterprises, the suboptimal ratio of investment return precipitates a deficiency in innovation impetus, subsequently exerting an adverse effect on regional R&D investment. Moreover, the influx of foreign direct investment (FDI) functions as a regulatory mechanism within this context, significantly moderating the correlation between intellectual property protection and innovation efficiency, in addition to exerting a positive moderative influence on the relationship between intellectual property protection and R&D investment.
Application of Interaction Chain based Curriculum Civics in the Core Curriculum of Accounting Major
Authors: Liu Jun , Li Tong , Huang Jingqi
Published: June 2024

In the context of higher education reform, the teaching of core courses of accounting majors not only needs to impart professional knowledge, but also needs to cultivate students' socialist core values. Interactive Chain Curriculum Civics refers to organically integrating the elements of Civics into the core curriculum teaching of accounting majors in the teaching content and teaching activities, so that students can master professional knowledge at the same time of ideological and political education. Interactive Chain Civic and Political Education Mode is an innovative teaching method of integrating Civic and Political Education in the core courses of accounting majors. The implementation of this model is a major initiative to implement the education policy of the Party and the State in the new period for colleges and universities to undertake the fundamental task of establishing morality and educating people. The Interactive Chain Civic and Political Programme help to cultivate students' correct outlook on the three concepts, enhance their sense of social responsibility and sense of mission, and are crucial to achieving the goals of higher education.The purpose of this paper is to explore the application of interactive chain curriculum Civics in the core curriculum of accounting majors, with a view to enhancing the comprehensive quality of students.
Current Status of Online Self-Learning Efficacy Level for High School Students
Authors: Yang Jin
Published: June 2024

Self-efficacy in learning is an individual's belief in their ability to effectively achieve learning goals during autonomous learning. Its measurement is typically conducted through self-report questionnaires, aiming to comprehensively assess students' levels of self-efficacy in learning. Factors influencing self-efficacy in learning include personal successful experiences, personality traits, social support, learning environments, task difficulty, among others. Self-efficacy in learning is closely related to online learning, as it not only affects students' attitudes, motivation, and strategies in learning but also predicts their behaviors and outcomes in online learning. Therefore, enhancing students' self-efficacy in learning is crucial for promoting their autonomous learning and academic success in online learning environments.
Influence of Social Media Short Video Marketing on Consumer Brand Attitude
Authors: Zhang Fengjuan , Landicho Bendalyn M.
Published: June 2024

More and more people favor short videos due to their short duration, high entertainment value, ease of production and sharing, increased network speed, and coverage of mobile terminals. Short video marketing has become the primary marketing tool for businesses owning to their strong interaction, high promotion efficiency, low cost of marketing, and positive user experience. In this context, optimizing the effectiveness of short videos for marketing has gained a lot of attention. Specifically, this study examined the influence of social media short video marketing on consumer brand attitude. This study employed three independent variables, one intermediate variable, and one dependent variable, totaling five variables. The three aspects of short video marketing—interesting content, scenario-based experiences, and user participation were also assessed. The dependent variable is brand attitude, while the mediator is brand perception. 385 people who used short videos from Beijing participated in this study. After analyzing with SPSS, the study revealed that interesting content, scene-based experiences, user participation, and interaction positively affect brand attitude. Likewise, brand perception acts as an intermediary between short video marketing and brand attitude.
The Impact of Temperature on the Triaxial Compression Characteristics of Cemented Paste Backfill
Authors: Zhu Pengyung , Zhang Zhihong
Published: June 2024

In deep well mining, due to the influence of the surrounding environmental temperature, the mechanical properties of the cemented paste backfill (CPB) will change. Therefore, studying the effect of temperature on the mechanical characteristics of CPB is of great research significance for the safety and stability of the mining stope. This article conducted triaxial compression tests on CPB at different temperatures, studied the effect of temperature on the shear strength characteristics of CPB specimens, and investigated the failure mechanisms and characteristics of CPB. The results show that: (1) The cohesion and internal friction angle of CPB specimens increase with increasing temperature. (2) As the temperature increases, the failure mode of CPB specimens changes from single oblique section shear failure to Y-type failure.
Study on the Engineering Application of LNG Accident Consequence Model in the Design of Terminal Sump
Authors: Gao Yuan , Zhang Luchao , Zeng Chunlei
Published: June 2024

In order to provide a theoretical basis for the design of the LNG terminal sump, this paper proposes a suitable mathematical model and solution method by analyzing the physical process of evaporation diffusion and thermal radiation of the sump. Combined with the engineering practice, a lot of calculations have been carried out on the vapor diffusion concentration and pool fire thermal radiation intensity of the terminal sump, and the correlations between the vapor concentration and thermal radiation intensity and their influencing factors have been quantitatively calculated. Based on the analysis of the calculation results, it is concluded that the vapor concentration and thermal radiation value at the fire control room of the wharf are strongly related to the equivalent diameter of the sump and the distance from the fire control room to the sump. Among them, the distance from the fire control room to the sump is more closely related to the vapor concentration, and the equivalent diameter of the sump is more closely related to the thermal radiation; Keeping 19.2~33.8meters between the fire control room and the sump can basically ensure that the vapor concentration at the fire control room does not exceed the standard; In order to ensure that the thermal radiation at the fire control room does not exceed the standard, the distance between the fire control room and the sump should not be less than 15meters, and the equivalent diameter of the sump should not be greater than 7meters. The research methods and conclusions proposed in this paper can provide useful reference for engineering designers, and also build a bridge for mutual reference and application for theoretical research and engineering practice.
Consumer Attitudes and Behavior towards Eco-Friendly Hotels in Yunnan Province
Authors: Gui Qiongfang , Abdul Rashid Abdullah
Published: June 2024

Based on the Theory of Reasoned Behavior (TPB) framework, this study deeply explores the attitudes and behaviors of eco-friendly hotel consumers in Yunnan Province. Using a mixed research design, including quantitative questionnaires and qualitative interviews, we analyze the impact of consumer attitudes, subjective norms and perceived behavioral control toward eco-friendly hotels, and the impact of these factors on actual choice behavior. Research results show that consumers generally have positive attitudes towards eco-friendly hotels, but actual choice behavior is affected by multiple factors, including environmental awareness, social expectations and perceived actual control. The TPB framework shows good applicability in explaining consumer attitudes and behaviors, but the influence of other factors still needs to be paid attention to. This research provides important market insights for the hotel industry in Yunnan Province and provides theoretical support for the development of eco-friendly hotels.
Simple Application of A* Algorithm on Robot path-planning for the Shortest Path
Authors: Yin Rongshen
Published: June 2024

When the robot encounters circumstances where it has to go from its current position to a given goal in an undetermined environment, it has to deal with the path-planning problem. The A* algorithm, as a classic algorithm for efficient path searching in robot engineering, is an interesting and precious topic to study. As part of a project to design a cargo-delivering robot which will operate in a multi-purpose stadium, considering the complex structure of the building, an efficient path-planning algorithm must be implemented to help the robot fulfil its delivery. The heuristic function and its parameters, which are important for the speed of making decisions, should be determined under tests in different situations. By using MATLAB, the detailed process of the A* algorithm using different heuristic functions and parameters can be clearly shown in a 2-D grid map simulating the scene, including searched areas and the final path. With the help of the images and the output path length, the heuristic function and the parameters are finally decided. The method is now good for the designed robot to operate in simulations with static obstacles, but it can be improved to deal with automatic obstacle avoidance in real-life cases, where people, balls, etc. are actually moving.
The Impact of Brand Loyalty on Consumer Purchase Decisions and Analysis of Sustainable Consumption Strategies
Authors: Zheng Yexin
Published: June 2024

Against the backdrop of rapid global economic development, public awareness of environmental protection is increasing, and the integration of brand loyalty with sustainable strategies is an inevitable trend for business development. Brand loyalty is an important indicator of the relationship between consumers and brands. It can enhance consumers' willingness to purchase, reduce consumers' perception of risk, and decision-making costs, bringing stable market share for enterprises. Moreover, due to the increasingly prominent global climate change and environmental issues, companies and society pay more attention to sustainable consumption strategies. Companies should keep pace with the times, emphasize the consistency of brand values with sustainable consumption concepts, provide environmentally friendly and energy-efficient sustainable products and services, and thus promote consumers' green consumption behavior. Therefore, the combination of brand loyalty and sustainable consumption strategies can meet consumers' demand for environmental protection and sustainable development, bring various benefits to enterprises, and is key to achieving long-term stable development.
The study of the effect of performance accountability on performance management
Authors: Sun Yuan
Published: June 2024

As performance management becomes more and more important in the workplace, performance accountability is receiving more and more attention from scholars. Currently, the research on performance accountability shows an upward trend, but at the same time, there is also the problem of research fragmentation and decentralization. This paper combs through the literature on (1) how the concept of performance accountability was proposed and developed; (2) what are the theoretical perspectives of performance accountability research; and (3) to sort out and summarize the antecedents, role results and mechanisms of performance accountability, as well as to provide an outlook on the future direction of research.
Application Research of BIM Technology in Bridge Monitoring
Authors: Li Xinran , Liu Bohua , Deng Can , Guo Qi
Published: June 2024

According to the development situation of BIM technology and the application of bridge monitoring methods, this article proposes the design and application of bridge monitoring platform based on BIM technology, integrating the collection, data analysis, data transmission, safety assessment and prediction of basic bridge data. Then, according to the bridge load, the overall structure and the local data, it conducts the overall prediction and evaluation of bridge safety status, which can provide the method reference for the later maintenance and operation of the bridge.
A Research of the Investment Weights of Technology Stocks and Traditional Stocks
Authors: Yu Shitao
Published: June 2024

This paper delves into the intricate realm of investment strategies, with a specific focus on navigating the dynamic landscapes of technology stocks and traditional stocks. The paramount considerations revolve around investor selection and risk management, pivotal elements for achieving sustainable growth. The study meticulously examines three distinct portfolio strategies: technology stocks, traditional stocks, and a synergistic hybrid of the two. In an innovative approach, machine learning algorithms are deployed to predict and optimize portfolio changes, adding a layer of adaptability to the investment landscape. A comprehensive analysis employs various financial indicators to gauge the performance of these portfolios, shedding light on their risk-reward profiles. The study not only caters to investors with different risk appetites but also underscores the significance of machine learning in dynamically adjusting portfolios to match the evolving market conditions. This adaptability is crucial for striking a delicate balance between growth and stability, aligning with individual risk preferences. Moreover, the research scrutinizes cumulative returns in contrast to holding period returns, providing nuanced insights into the efficacy of each strategy over time. In essence, the document offers a multifaceted perspective, leveraging machine learning to empower investors in navigating the complex interplay of technology and traditional stocks, fostering informed decision-making in an ever-changing financial landscape.
Green Supplier Selection for Small Enterprises without Impairing Earnings
Authors: Dang Yifan
Published: June 2024

In recent years, more and more studies have shown that sustainable development and competitive profitability don't need to be mutually exclusive, and as a result, not only governments and non-profit organizations, but also more and more companies have started to look at green procurement as an important part of sustainable development. However, as a major contributor to carbon emissions and a key implementer of green procurement, MSMEs have long faced internal and external disadvantages in the form of a lack of expert support and external information. To prevent green procurement from becoming a strategy of information monopoly for large enterprises, and to reduce the cost of green procurement and encourage more SME to join, this paper focuses on the core link of green procurement - supplier selection, and uses AI model to enhance the traditional AHP hierarchical analysis method to provide a set of convenient and cost-effective green supplier selection solutions for SME. high performance green supplier selection program, and provides some observations and suggestions based on the model. In the information age, for individuals or organizations that lack information, large language models such as GPT provide a fast track. The nature of the decision-making capability of large language models, such as machine learning, is increasingly proving to be effective in addition to the traditional function of information retrieval. In this paper, we used ChatGPT to generate a group of virtual experts as an AHP expert panel, and established the method of developing AHP top guides and consistency tests to ensure that their scores are effective. Finally, we determined the 5 first-level indicators and 16 sub-indicators to be considered by micro and small enterprises to make a green supplier selection with guaranteed benefits and no cost increase, as well as the weights of these indicators. The method is highly feasible and scalable, and micro and small enterprises can easily reproduce the programme in practice and add to the learning materials or objectives according to the actual situation or to the specific needs of the enterprise.
Research on Image Classification And Semantic Segmentation Model Based on Convolutional Neural Network
Authors: Li Muqing , Zhu Ziyi , Xu Ruilin , Feng Yinqiu , Xiao Lingxi
Published: June 2024

This paper investigates convolutional neural network (CNN)-based approaches for image classification and semantic segmentation, with a focus on addressing spatial detail loss and multi-scale feature integration issues prevalent in semantic segmentation. The introduced EDNET model tackles these challenges through the incorporation of spatial information branches and the design of efficient feature fusion mechanisms. It further enhances performance via the use of global pooling and boundary refinement modules. Evaluations on the PASCAL VOC 2012 dataset reveal an 11.67% increase in mean intersection-over-union (IoU) compared to standard fully convolutional networks, demonstrating substantial improvement over comparable techniques. These results confirm the efficacy and practicality of the EDNET framework.
A new method of image recognition based on deep learning generates adversarial networks and integrates traditional algorithms
Authors: Yang Yutian , Chen Zexi , Yan Yafeng , Li Muqing , Gegen Tana
Published: June 2024

This paper discusses an innovative image recognition method, which combines the advanced feature learning ability of generative adversarial networks (Gan) with the robustness of traditional image recognition algorithms. Based on small-sample training, Gan can generate high-quality image samples to expand the training set. Therefore, by designing and training a generative adversarial network, the real image data and its labels can be integrated into the training set. The GAN-generated images, together with corresponding labels, are input into SVM for training, and appropriate kernel functions and parameters are selected to optimize the SVM model to maximize classification performance. GAN is good at data generation and feature learning, while SVM is good at problems with clear classification boundaries, and this model combining the two methods is used in image recognition.
Study on Grouting Repair and Reinforcement Technology of soft Foundation of large diameter Highway Tunnel
Authors: Chen Xing , Zhai Kangbo
Published: June 2024

Taking the uneven settlement of the foundation of a two-way eight-lane large diameter highway tunnel as the engineering background, the joint grouting reinforcement technology of miniature steel pipe pile and steel sleeve valve pipe is put forward. based on the field measured settlement data and foundation core samples, the effectiveness of repair and reinforcement is analyzed. The research results show that the combined grouting of miniature steel pipe pile and steel sleeve valve pipe can effectively control the settlement of tunnel foundation, and significantly improve the RQD (Rock Quality Designation) value of tunnel foundation, which provides technical reference and basis for the construction of similar projects.
Analysis of the Investment Features of Stocks of Valuation System with Chinese Characteristics Based on Hierarchical Cluster Method
Authors: He Yinhao
Published: June 2024

The ultimate goal of stock investment is to achieve profitability, and risk avoidance is the most important foundation for achieving profitability. Accurately evaluating the value of stocks in the market is one of the key factors for successful investment. Under the background of proposing the Valuation System with Chinese Characteristics, a reasonable analysis of the investment features of stocks of Valuation System with Chinese Characteristics can bring opportunities to investors. To this end, first construct the characteristic indices of stocks of Valuation System with Chinese Characteristics — Price Earnings Ratio (PE), Price-to-Book Ratio (PB), and Dividend Yield Ratio. Then, based on the characteristic indices, use the hierarchical cluster method to perform clustering analysis on the stocks of Valuation System with Chinese Characteristics. Afterwards, by optimizing the clustering results, all stocks of Valuation System with Chinese Characteristics were classified into four categories. According to the classification analysis of the investment features of the stocks, it can be concluded that the issuing company of the first category of stocks has recently been operating poorly, so it is not recommended to invest; The value of stocks in the second category is overestimated and it is not recommended to invest; The third category of stocks are high growth stocks, and it is recommended to invest with caution; The stocks in the fourth category have the characteristics of undervaluation and high dividends, and it is recommended to invest.
Market Insight and Strategy of Outdoor Sports Brand for New Media Marketing
Authors: Tan Boren
Published: June 2024

This study studies different outdoor brands from the perspective of new media marketing. As the number of social media users and the impact on the market continues to expand, creating a new media marketing strategy that is more in line with the brand itself has become a decisive factor for the sustainable development of the brand in the future. In the process of analyzing these three brands, this study first introduces their brand positioning and consumer types, then analyzes the advantages and disadvantages of their new media marketing strategies, and provides measures to improve their current new media marketing according to each brand. By fully integrating the concept of new media marketing with the dynamic demand of the market, this study can not only provide reference for other outdoor brands, but also enable brands in other fields to develop more effective new media marketing strategies according to their own conditions. Finally, through the analysis of new media marketing, this study will once again emphasize the current influence of new media marketing in the market, and the trend of gradual expansion in the future market development process.
Research of Green GDP Evaluation System Based on AHP Model
Authors: Qian Yijia , Suo Yufei
Published: June 2024

GDP (Gross domestic product) is of extraordinary significance in measuring national economic development, while it tends to have inaccuracy. The concept of Green GDP (hereinafter referred to as GGDP), which introduces environmental factors into the accounting system, is more conducive to sustainable development and the building of a harmonious economy. This paper selects main factors and establish a GGDP evaluation index system using the AHP model, then conducts the robustness test by one-dimensional linear regression model and "children dropping out of school" model. Finally, a sensitivity analysis is carried out to prove the accuracy. The results indicate that GGDP system contributes to improving environmental conditions and promoting sustainable development.
Research on the Role of Investment Banks in the China’s IPO Market
Authors: Wang Chenhao
Published: June 2024

Investment banks are essential players in today's dynamic capital market, serving as intermediaries that facilitate a wide range of financial activities crucial for economic growth and development. These activities encompass venture capital, project financing, mergers and acquisitions, corporate restructuring, securities issuance, and investment analysis. Investment banks must establish robust developmental frameworks and adapt to changing industry dynamics to remain effective and resilient in the face of evolving economic and financial landscapes. This research explores the role played by investment banks in the Chinese Initial Public Offering (IPO) market while considering the nation's historical context. China's financial evolution has been marked by unique historical events and economic reforms, which have significantly influenced its IPO market and the involvement of investment banks. Examining the interplay between these factors is vital for understanding the broader dynamics of the global financial system. It provides valuable insights into the strategies and adaptations required for investment banks to thrive in this complex environment. This study aims to contribute to the existing body of knowledge and inform industry stakeholders, policymakers, and investors about the intricacies of investment banking in China's IPO market.