bluuebunny/crossref_metadata_2025 huggingface dataset:
Image-Based Fitness Guidance and Recording System
Authors: Xu Shuyue
Published: December 2024

This study proposes a fitness guidance and recording system design based on computer vision, aiming to provide users with personalized, real-time and efficient fitness guidance and training, as well as dietary record services through advanced computer vision algorithms. The system integrates a variety of technologies such as image processing, action recognition and body analysis, which can automatically capture the movement posture of users in the process of fitness, and compare it with the standard action library, so as to accurately evaluate the accuracy of action and provide immediate feedback and suggestions. At the same time, the system can feed back the user's diet and nutrition matching suggestions according to the user's dietary records, body data and training goals, and develop a personalized diet plan for the user. The development of this system can solve the problems existing in the traditional way of fitness guidance, and increase dietary guidance and record module, fitness is to provide a full range of support. At the same time, the research and development of this system can provide new ideas and methods for the research in the field of fitness, and promote the development and innovation of related technologies.
Analysis of the Impact Effect of Corporate ESG Performance
Authors: Gense Zhuma , Zhang Huimin , Wang Zhengrong , Peng Guoju , Zhao Xialei
Published: December 2024

ESG, as a projection of the concept of sustainable development in the corporate world, is a powerful tool for implementing the concept of high-quality development and realizing the goal of "double carbon". As the importance of stakeholders to enterprises is becoming more and more prominent, enterprises need to pay attention to the effects of ESG performance on different stakeholders in order to realize long-term sustainable development. This paper empirically analyzes the effects of corporate ESG performance based on different stakeholder perspectives using panel data of A-share listed companies in Shanghai and Shenzhen from 2011 to 2021. It is found that better ESG performance can significantly reduce the inefficient investment of enterprises; high ESG scores can significantly enhance the reputation of enterprises; and enterprises carrying out ESG practice activities are conducive to achieving better environmental performance. Therefore, firms should improve ESG governance and fully consider stakeholders' expectations and needs when making strategic and operational decisions to achieve long-term sustainable development; governments and regulatory agencies should strengthen the supervision and incentives for firms' ESG performance.
A Big Data Discriminatory Pricing Strategy for Takeaway Platforms Considering Different Attributional Behaviors of Users
Authors: Xiong Gege
Published: December 2024

To address the big data discriminatory pricing problem of two takeout platforms with different attribution behaviors of platform users, the equilibrium pricing of the two platforms under different attribution behaviors is analyzed and compared based on the Hotelling model, and the effects of switching costs and network effects on pricing strategies are examined. The results show that: in the single-attribution-single-attribution model, the network effect affects the user scale of the platform, and then the pricing of the platform is affected by the switching costs and the network effect, and the pricing of the platform in the first stage affects the pricing decision in the second stage; in the single-attribution-partial-multi-attribution model, the pricing of the platform is affected not only by the switching cost and the network effect but also by the switching costs and the network effect of the user base. In the single-attribution-partial-multi-attribution model, platform pricing is not only affected by switching costs and network effects but also by users' base utility, and the platform's pricing in the first stage partially affects the pricing decision in the second stage.
The Influence of Positive Growth Experience of Craftsmen on Vocational Education of Automotive Inspection and Maintenance Technology and Mental Health
Authors: Dong Hongxing , Wen Zhengbao , Xue Jiao
Published: December 2024

Since 2014, in China, there has been a principle to divert the graduating junior high school students to regular high schools and secondary vocational schools in an orderly manner, with a ratio of 50%. Vocational education serves as an important foundation for cultivating technical and skilled talents, as well as craftsman talents. However, vocational education, as a distinct type of education, has not yet gained widespread recognition in society. And it is a very meaningful thing to explore how their teachers’ positive growth experience influence these students to become successful and feel pleasure. Using a qualitative methodology, we interviewed ten Zhejiang craftsmen specializing in the automotive field, who work as full-time or part-time teachers in technical colleges and vocational schools, to explore the relationship between their growth experiences and the impact of teacher education on the cultivation and development of craftsmen. The study not only focused on their professional development but also delved into the psychological aspects of their journey. By examining the interplay between professional growth, educational impact, and psychological factors, this results provide valuable insights into the holistic development of skilled craftsmen. The findings reveal that the growth characteristics of Zhejiang craftsmen can be categorized into four stages: aspiration, enjoyment, dedication, and innovation. These stages are reflected in various aspects such as career aspirations, professional identity, and collaborative innovation, which are further subdivided into 29 factors. Moreover, the analysis demonstrates how these self-growth experiences can be effectively transferred to the student training process, thereby stimulating students' enthusiasm for learning vehicle inspection, testing, and repairs. The development of vocational education can draw insights from the growth process of Zhejiang craftsmen, with a specific focus on fostering workplace learning, integrating theoretical instruction with practical skill development, and nurturing both technical expertise and personal qualities. And the comprehensive strategy focuses on the areas, such as fostering workplace learning, integrating theoretical instruction with practical skill development, nurturing both technical expertise and personal qualities, promoting psychological health and so on. By implementing these strategies, vocational education institutions can help students grow into healthy, skilled, and psychologically robust professionals.
Research And Enlightenment of China's Environmental Protection Policy on The Development of Carbon Finance: A Case Study of The New Energy Vehicle Industry
Authors: Liu Jiarui , Liu Yinuo , Zhao Lingling
Published: December 2024

In recent decades, environmental problems continuously interfering with people's daily lives, and the new energy automobile industry has thus risen among big countries. Despite the rapid development of China's new energy vehicle industry, there are still many problems that need to be solved. By reading and collecting a large number of literatures, this paper comprehensively studies and summarizes a number of papers using the TRIZ theoretical research model, based on the research and analysis of the development status of BYD, a well-known industry in the field of new energy vehicles in China, discusses the methods and shortcomings of China's environmental protection policies to promote the development of carbon finance market in the context of the development of new energy vehicles in China in recent decades. The paper puts forward some feasible solutions to these problems, as well as some inspirations for the future development of China's new energy automobile industry in the carbon financial market.
Research on key technologies for construction of steel structures in ultra large span cold storage
Authors: Xie Junfeng , Guo Jiankun , Rong Chao
Published: December 2024

Taking the 100,000-ton automatic cold storage construction project of Weizhou Investment Holding Co., Ltd. as an example, this thesis systematically analyzes the main difficulties in the construction of super-large-span steel plant in terms of material transportation and handling, large-size components lifting, joints handling and welding, foundation reinforcement, and puts forward corresponding solutions. It not only provides practical suggestions for solving the difficulties in the construction of super-large-span steel structure plant, but also has guiding significance for improving the construction quality and safety management level of the whole industry.
“Less is More”: Simpleness and Richness in “Why Don’t You Dance”
Authors: Wen Xu
Published: December 2024

In 1981, the publication of What We Talk About When We Talk About Love, a famous collection of short stories by Raymond Carver, saddled him with the term “Minimalist”. Based on former academic achievements on Carver's minimalist writing, this research analyzed the minimalistic techniques in “Why Don't You Dance” in order, namely omitted narration, line drawing sketch and repetitive narration and decoded their textual effects and author’s intention. Under minimalistic and detached narration of the story, Carver reveals implicitly the situations of lower working-class lives, expressing deep empathy for those who lost in alcohol, vulgar culture and indifferent humanity.
Research on Transformation and Upgrading of Equipment Manufacturing Industry and Optimization of Tax Policy Discrepancy: Case of Hebei Province
Authors: Xiao Yilin
Published: December 2024

Operating income of Hebei equipment manufacturing industry exceeded one trillion yuan. In order to further promote the transformation and upgrading, in recent years, the Hebei Provincial Tax Bureau of the State Administration of Taxation has implemented and continued a series of national tax support policies and achieved phased results. However, due to some objective and realistic factors, Hebei equipment manufacturing industry is still lacking. This research takes different stages of enterprise operation as nodes, and gradually sorts out, studies and analyzes the current tax policies according to the links. The results highlight the effectiveness mechanism of the current tax policies for the development of equipment manufacturing industry based on the research. Moreover, based on a variety of real data found in this paper, the data of Hebei equipment manufacturing industry is compared in multiple dimensions to objectively present problems and shortcomings. This paper focuses on the transformation and upgrading of Hebei equipment manufacturing industry and tax policy in a small-cut view and makes policy optimization suggestions based on the tax policy gap, in order to provide reference for the better development of Hebei equipment manufacturing industry.
Research on the Communication Path of Domestic High-quality Variety Shows
Authors: Jiang Ying
Published: December 2024

As a gathering place for popularity and traffic in today’s society, variety shows play an important role in cultural communication. This article takes the Magnolia Award-winning domestic high-quality variety show "Sound into the Heart" as the research object. Based on the media dependence theory, it discusses from the three dimensions of communication content, communication method, and communication effect, and analyzes the path for variety shows to drive the development of the cultural industry. Analyze variety show content, production strategies, and commercial marketing, and seek new ways to spread niche culture and art.
Enhancing Security in CNN-Based Travel Recommendation Models Using CKKS Homomorphic Encryption
Authors: Chen Tianhao
Published: December 2024

This study explores the integration of CKKS homomorphic encryption with convolutional neural networks (CNNs) to enhance the security of travel recommendation systems. By adapting CNN architectures to operate efficiently on encrypted data using CKKS, we address the challenge of maintaining the users’ privacy without compromising system performance. Key results indicate significant improvements in data security with minimal impact on recommendation accuracy.
Food and the Habitus: Imaginary Homeland in Jhumpa Lahiri’s Interpreter of Maladies
Authors: Ni Luyi
Published: December 2024

This study explores the role of food as a cultural borderland in Jhumpa Lahiri’ s Interpreter of Maladies. Drawing on Pierre Bourdieu’s concept of habitus, it analyzes how food functions beyond mere sustenance to reflect the complex identities of Indian immigrants navigating between tradition and assimilation. Food serves as a semiotic tool, revealing cultural nostalgia and the "struggle of memory against forgetting," as Salman Rushdie describes. Through characters like Mrs. Sen, food is shown to embody class distinctions and national identity while highlighting ambivalent feelings toward cultural adaptation. The preparation and sharing of food emerge as powerful expressions of belonging, yet simultaneously underscore the alienation experienced in a foreign land. This project suggests that foodways in Lahiri’s stories not only mark ethnic and social identities but also act as a poignant symbol of immigrants' fragmented sense of home, underscoring both collective memories and personal struggles within their adopted communities. By situating food as a central theme, the study reveals its significance in shaping social interactions and sustaining an imagined homeland, bridging past and present, familiar and unfamiliar, within the immigrant experience.
The influence and development of artificial intelligence on automobile emergency system
Authors: Ji Linyan
Published: December 2024

In the automobile industry, the application of artificial intelligence is more and more extensive, among which the emergency hedging system of automobile is one of the important fields of artificial intelligence application. With the increasing growth of automobiles, traffic road safety has become a topic often talked about in People's Daily life. With the rapid development of artificial intelligence, many automobile companies begin to use artificial intelligence to help the car emergency hedging system. Artificial intelligence will greatly enhance the timeliness, accuracy and safety of the automobile emergency system. This paper aims to discuss the influence and development of artificial intelligence on automobile emergency avoidance system, and analyze its advantages and disadvantages and future development trend. Which has a very obvious help to the automatic driving technology, but also laid the development of automatic driving technology.
Empirical Analysis of the Impact of Math-Gender Stereotypes on Girls' Self-Efficacy
Authors: Ma Yingzhi
Published: December 2024

The purpose of this paper is to explore the influence of mathematical-gender stereotype on girls' sense of self-efficacy, so as to reveal the essence of this phenomenon comprehensively and deeply. The study selected female students from junior high school to senior high school as samples, and collected data through questionnaires. The correlation between mathematical-gender stereotype and female students' sense of self-efficacy was analyzed by statistical method, and the moderating effects of family support, teachers' encouragement and the visibility of female mathematical role models were investigated. The results show that math-gender stereotype has a significant negative impact on girls' math self-efficacy, and family support and teacher encouragement can alleviate this impact to some extent. However, although the visibility of female mathematical role models has a positive trend in improving female students' sense of self-efficacy, it has not reached a significant level. The findings provide empirical evidence for educators, parents and policy makers, and emphasize the importance of eliminating stereotypes and strengthening support and role models.
Research on Production Decision Modelling Based on Sequential Testing and Minimum Objective Planning
Authors: Wei Yuan , Chang Zhenjia
Published: December 2024

In this paper, the decision-making problem encountered by an enterprise in the production process is studied in depth by using the sequential test and the minimum objective planning method. The study begins with a sampling and testing model for spare parts, simplifies the model based on normal distribution, and applies the sequential test technique to reduce the number of necessary samples and effectively optimize the cost of sampling and testing. Immediately after that, we constructed a minimum objective planning model to model the production process of spare parts and finished products and their related costs in detail. We solved the optimal production cost for each of the six real production scenarios faced by the enterprise. The results show that our model can not only effectively reduce production costs, but also significantly improve decision-making efficiency.
Innovation and Practice of Vocational Skill Appraisal Management Mode in the Electric Power Industry
Authors: Fang Yuan , Zhao Jie
Published: December 2024

In response to the current situation and existing problems of the vocational skill appraisal management mode in the electric power industry, a new practical scheme is proposed in this paper. By constructing a diversified evaluation system, implementing intelligent management methods, and strengthening the effective connection between vocational skill training and appraisal, an innovative management mode is constructed. Combined with practical case analysis, the practical effects and significance of the new management mode in the electric power industry are elaborated.
Study on surface subsidence law in mining area based on SBAS-InSAR technology
Authors: Liu Guangchun
Published: December 2024

In view of the problems of traditional mine monitoring technology, which is time-consuming, laborious, small amount of monitoring data, and affected by weather, this paper selects radar satellite earth observation technology, adopts SBAS-InSAR image processing method, obtains the surface settlement changes in the study area, and analyzes several typical settlement funnels in the mining area: the data results show that the maximum settlement in the Fengyuan Village mining area is more than -30mm, and the maximum settlement in the Loess Temple mining area and Shagou mining area is more than -50mm. The Kentielinggou mining area and the Heishiyan mining area have the fastest settlement at two points, with a maximum settlement of more than -90mm.
Legal and Ethical Boundaries of Company Refusing Service Considering Individual's Public Statements
Authors: Yin Zihan
Published: December 2024

As the impact of public discourse on the relationship between individuals and corporations becomes increasingly pronounced, this paper examines the legal and ethical issues surrounding when a company may refuse service based on an individual's public statements. The field of study has its deficiencies, particularly in the lack of clear guidelines at the intersection of freedom of speech and corporate rights. This paper aims to clarify the boundaries of rights between companies and individuals by analyzing specific legal cases, such as 303 Creative LLC v. Elenis and Masterpiece Cakeshop v. Colorado Civil Rights Commission and discusses the potential damages that may arise from refusing service. The study finds that companies can refuse service in specific circumstances without violating the law, especially when service provision may harm the company or its clients. This conclusion emphasizes the importance of respecting freedom of speech and protecting corporate rights. The significance of this research lies in providing legal guidance for companies dealing with service refusals based on public statements and offering a reference for future legislative and judicial practices, contributing to a deeper understanding and respect for freedom of speech and corporate rights.
Major Social Media Response Under Covid-19 Pandemic in China
Authors: Hao Zimo
Published: December 2024

Social media has played a key role in China, including marketing promotion, making new friends, and acquiring news. The increasing role social media plays in Chinese people’s daily life has significantly shown after the outbreak of the covid-19 pandemic. This research has studied and compared three major Chinese social media: Weibo, WeChat, and TikTok role during the covid-19 pandemic and how the users as well as the government utilized social media to share information. The study finds that social media has changed its role in making new friends to information sharing. Therefore, the user of social media and the time they have spent on social media also increase significantly. The research also finds that fake news and misinformation related to the covid-19 have been increasing and even breaking the trust between the government and the users. The research strongly recommends the government should take action in response to fake news, rumors, and the negative consequences that those pieces of news brought to people. Despite the punishment of those people who promote misleading information, the government should also work with technology companies to carefully monitor and control fake news in order to limit the sharing of panic among users. Lastly, I also recommend that future scholars and researchers study more about the violent behaviors, and misperceptions of social media bring to audiences.
Analysis of Financing Channels of Real Estate Companies in China
Authors: Cui Shang
Published: December 2024

With the continuous development of China's economy, the real estate industry plays an important role in it, which witnesses booming growth. However, with its rapid development, it has also brought great problems and challenges, such as blocked funding sources and high financing costs. Therefore, this article will study the financing channels of several listed real estate companies, China Fortune Land Development CO, Poly Development Co., Ltd. since 2014 to 2018, comparing and analyzing the financing channels of private and state-owned enterprises. By extracting information about funding costs and risks from financial and public debt information, the differences in WACC values, cash flow status, and debt structures under different companies' financing plans will be compared. Accordingly, this study investigated possible reasons of choices made by these two enterprises. Enterprise decision-makers still need to make sufficient understanding and weigh the pros and cons before making financing decisions and should not finance blindly. These results of this article have reference significance for the financing of future real estate companies.
Preface: 6th International Conference on Global Economy, Finance and Humanities Research (GEFHR 2024)
Authors: Gree Gwendolyn , Wan Peng
Published: December 2024

The 2024 6th International Conference on Global Economy, Finance and Humanities Research (GEFHR 2024) has been successfully conducted in New York, USA during October 26-27, 2024. This conference aims at summarizing recent research activities relevant to the advanced development in the global economy, finance management, innovation management, business management, electronic commerce, humanities research, and social science, and facilitate communication among relevant experts.
More than 70 persons have been participated in GEFHR 2024. About 40 presentations including 4 invited talks were presented. The presentations are grouped into 5 areas of particular interest: (1) Global Economy, (2) Finance Management, (3) Business Management, (4) Electronic Commerce, and (5) Humanities Research. We are indebted to all of authors for submitting their original papers. We would like to thank all members of International Board, members of Organizing Committee, and my gratitude to all those who help the success of this conference.
GEFHR Organizing Committees
New York, USA
Analysis of the Impact and Mechanism of Financial Technology Levels on Green Productivity
Authors: Ren Ziyan , Han Li
Published: December 2024

This paper selects the data of A-share listed companies in Shanghai and Shenzhen from 2013 to 2023, and explores the impact and mechanism of enterprise financial technology level on green productivity based on the perspective of green technology innovation. It was found that improving enterprise financial technology levels significantly promotes enterprise green technology innovation, and this conclusion is still based on the discussion of endogeneity issues and a series of robustness tests. In terms of the mechanism of action, the increase in the level of enterprise financial technology increases the investment in scientific and technological innovation, which in turn effectively promotes the green technological innovation of enterprises. At the same time, the strengthening of market competition in the industry further enhances the green innovation effect. Heterogeneity analysis reveals that both the property rights and the industry have a significant impact on the improvement of the financial technology level to promote enterprise green technology innovation. This paper reveals the key role of financial technology in enterprise innovation strategy. It provides empirical evidence for the promotion of financial technology innovation and the optimization of green productivity development path.
Analysis of Dual Listing: Evidence from Tencent
Authors: Du Yu
Published: December 2024

With the vigorous development of the Internet industry, the fierce competition among many Internet companies is constantly promoting the innovation and progress of the industry. This competition has given birth to novel models and sales systems, promoting the rapid development of the whole industry. In this context, Tencent, with its excellent performance and unique strategic vision, has successfully stood out and become a leader in the Chinese Internet industry. With the gradual relaxation of the Chinese government's policy on foreign investment entering the domestic capital market, Tencent was able to list in both China and the United States, which not only brought huge development opportunities for Tencent itself, but also marked the formal integration of China's Internet industry into the tide of international competition. The dual listing has brought Tencent a stable foundation for the Chinese market, and attracted global capital and investment, greatly improving the company's market liquidity and international recognition. This important milestone not only lays a solid foundation for Tencent's future development, but also opens a door to the world for China's Internet industry. Through the dual listing, Tencent can not only expand its business and optimize the allocation of resources in the global scope, but also better participate in international competition and promote the rise of China's Internet industry on the global stage.
Based on SICAS Model: Research on New Media Marketing Strategy of Cotti Coffee
Authors: Du Meixuan
Published: December 2024

With the development of people’s living standards and changes in habits, people’s demand for coffee continues to expand. And more and more coffee brands enter the market. In such a fierce market competition, Cotti Coffee quickly entered the market with its price advantage, and adopted some new media marketing strategies to expand its market share. Although its new media marketing strategy has achieved initial results, there are still some shortcomings. So this paper studies the current situation of new media marketing based on the SICAS model and puts forward corresponding optimization suggestions. Fristly, paper analyzes the background of the coffee consuming industry, and then analyzes the theory of SICAS model. Secondly, based on the SICAS model, a consumer questionaire was designed to investigate the new media marketing effect. Finally, according to the survey result, the SICAS model was built and targeted measures were proposed to solve the problems in the new media marketing process of Cotti Coffee. The purpose of paper is to provide improvement measures in new media marketing for Cotti Coffee, and further enrich the content of new media marketing.
Acquisition Analysis: Evidence from Microsoft’s Acquisition of Activision Blizzard
Authors: He Jiahao
Published: December 2024

As a matter of fact, the Internet era is evolving quickly these days, and the video game business in particular has a lot of room to grow in recent years. To be specific, a number of technology companies are continually purchasing and merging to increase their market share. At this point, Microsoft revealed the shocking announcement that Activision Blizzard would be acquired by the company for a whopping $68.7 billion. In the end, this acquisition helped Microsoft establish a strong foothold in the gaming industry, making it one of the top three gaming companies and facilitating its faster entry into the meta-universe, despite the company facing numerous challenges and risks during the process. On this basis, this study will select the target to carry out a detailed case study. The analysis of this purchase case in terms of background introduction, acquisition process, motivation for acquisition, financial analysis will serve as the basis for this article, and the findings will offer guidance on the mergers and acquisitions of technological companies.
Research on Teaching Reform of Smoke Control and Exhaust Course under the Background of New Engineering
Authors: Zhu Simin , He Kaiqiang
Published: December 2024

A large number of fire cases have proven that smoke is the main cause of casualties in fires, with over 80% of victims dying directly or indirectly due to smoke. Scientific and rational design of smoke control systems is crucial for slowing down the spread of fires and ensuring safe evacuation time. At present, the process of smoke exhaust in fire scenes is still the main way of fire rescue utilization, and industries related to smoke exhaust are also one of the main employment areas for undergraduate students majoring in fire engineering. However, traditional smoke exhaust engineering courses have outdated teaching content, teaching methods, and assessment methods, which cannot meet the demand for cultivating technical talents in energy engineering majors under the background of new engineering construction. This study first starts from the characteristics of smoke control engineering courses and the problems existing in teaching. Using advanced online teaching platforms, advanced teaching aids, mature commercial software, and computer programming language design environments, the teaching content of smoke control engineering courses is upgraded and transformed towards modular computing, intelligent design, and other directions. In the context of new engineering disciplines, students' learning interests are enhanced, and their practical, innovative, and comprehensive computing abilities are exercised.
Explore Global Fashion Trends and Cultural Influences
Authors: Lin Xuanzhu
Published: December 2024

This paper discusses the relationship between cultural identity and diversity, cultural export and import, social values and behavioral patterns in global fashion trends, as well as the challenges and future prospects. It emphasizes that culture, as the core of fashion design, is spread globally through commercial operation, but it is necessary to balance cultural protection and commercialization to avoid cultural distortion. Meanwhile, changes in social values and behavioral patterns drive fashion innovation, while the application of technology such as AI accelerates the intelligence of the industry. In the future, the fashion industry will pay more attention to diversification, intelligence and sustainability, balancing the needs of culture, commerce and environmental protection, and jointly promoting the fashion industry to a better and sustainable future.
Developing A Risk Control System for Fintech Products Using Big Data and Real-Time Analysis Technology
Authors: Gao Yingsong
Published: December 2024

Big data technology has revolutionized the financial sector, significantly impacting the design and operation of future financial products. This paper explores the use of big data technology in risk control in financial products, examining its potential benefits and challenges in product design. By briefly introducing the operation logic of big data, this paper analyzes the application of big data in financial products for risk control and the challenges it faces. The study reveals that big data technology enhances the efficiency of financial technology companies in internal management and decision-making, while significantly reducing systemic risk in their financial product design. Big data technology has exacerbated the conflict between traditional financial institutions and fintech companies, as well as the interest conflict between fintech companies, users, and regulatory authorities. Therefore, Big data financial products not only need to improve their information processing methods and information analysis methods internally, but also need to deal with the conflicts between their users, issuers, and financial regulatory authorities and with the traditional financial sector.
Under the Background of New Media, Shenyang Red Resources Are Integrated into The Teaching and Research of Ideological and Political Theory Course for College Students
Authors: Song Bo
Published: December 2024

General Secretary Xi Jinping stressed that "make good use of red resources, carry forward the red tradition, and pass on the red gene", which points out the direction for the integration of red resources into ideological and political teaching. The red cultural resources highly condensed the revolutionary history and the indomitable struggle history of the Communist Party of China. It highlights the heroic epic of the Communists staying true to the original aspiration and fulfilling the grand mission in the course of China's revolution, construction, reform and even the development of the new era, and has the precious significance of The Times. In recent years, the teaching research of red resources into ideological and political theory course mainly focuses on the regional red resources into ideological and political course teaching.
A Study of Animal Narration in Mo Yan's Life and Death Fatigue
Authors: Yang Li
Published: December 2024

Mo Yan masterfully employs the distinctive narrative device of animal perspective throughout "Life and Death Fatigue," which endows the novel with a rich tapestry of profound content and distinctive formal qualities. This innovative approach transcends the traditional narrative constraints that confine the narrative voice to human experiences, and instead, it crafts a literary realm that oscillates between the realms of reality and surrealism. By bestowing animals with human-like rationality and insight, while simultaneously preserving their intrinsic animalistic instincts and irrational behaviors, Mo Yan creates a multifaceted narrative that challenges and expands the boundaries of storytelling. This article aims to delve into the intricacies of the animal narrative within the book and to further investigate the metaphorical depth that the author conveys through his portrayal of animals.
Analysis of the Current Development Status and Prospects of Solar Charging Piles for Electric Vehicles
Authors: Lyu Mingxu
Published: December 2024

In the context of sustainable development in the world, various clean energy products have emerged, among which electric vehicles have rapidly developed and received great attention from people. This article investigates the principles and types of solar charging stations for electric vehicles, as well as the innovative research and practical design applications of previous researchers. Through research, it has been found that using sunlight to generate electricity, solar charging stations provide clean and sustainable power for electric vehicles. New energy sources such as solar energy have also been favored by the general public. In addition, solar charging stations are constantly being improved and optimized under people's research. However, at the same time, it also faces challenges such as high costs and high technological requirements. Therefore, continuously optimizing and improving the use system of new energy is of great importance to human development. People still have a long way to go in the development of new energy.
Analysis of Current Situation of Green Finance and Sustainable Development in China
Authors: Shi Yinuo , Zhang Feier , Zhang Shengchong
Published: December 2024

Amidst escalating global environmental challenges, green finance, serving as a pivotal instrument for advancing sustainable growth, is garnering heightened interest from the international arena. This financial mechanism seeks to channel societal capital into eco-friendly sectors including environmental stewardship, energy efficiency, decarbonization, and renewable energy, all the while adeptly mitigating ecological hazards and fostering harmonious development dynamics. The primary objective of this piece is to delve into the conceptual framework, historical evolution, predominant operational paradigms, hurdles, and prospective growth trajectories of green finance. Moreover, it seeks to dissect the interplay between green finance and pertinent governmental strategies, alongside its influence on various facets of the economy. Through this approach, the endeavor seeks to furnish both theoretical benchmarks and practical insights that can propel the development and refinement of the global green finance framework. Moreover, it intends to catalyze more profound investigation and hands-on experimentation within this domain, thereby accelerating the evolution and enhancement of green finance mechanisms to more effectively support the overarching objective of global sustainability.
A Neutrosophic Multicriteria Analysis of Economic Recovery Systems
Authors:   Regional Autonomous University of the Andes, Ecuador, Carlos Carlos ,   Luis Leoro Franco Educational Unit, Ecuador,   Luis Leoro Franco Educational Unit, Ecuador,   Tashkent State University of Economics, Uzbakistan, Campoverde Maria Fernanda Jara , Ponce Maria Belen Carlosama , Abdurashidova Marina
Published: December 2024

The article investigates the neutrosophic multicriteria analysis of the post-pandemic economic recovery, an intricate and multi-dimensional problem, which persistently affects several nations in a globalized setting with high levels of uncertainty. This study delves into how recovery measures including policies and strategies should be developed and implemented considering the newly emerging complexities that characterize the mod-ern world and its politics. The main concern is the absence of any tools that may seek to correlate the various factors that are necessarily involved in any recovery process, all of which have variable post- pandemic eco-nomic, social, and political conditions. In addition, there is clearly an importance of this issue since it has been so timely for governments andor organizations to look for strategies and policies that would ensure a just and environmentally sound reconstruction phase. By providing a neutrosophic multicriteria analysis that has not been applied before in this context, the paper contributes to the existing literature by outlining various factors involved in economic recovery such as fiscal policy and health and social measures. This study takes the neu-trosophic perspective and forms of analysis to explore the various uncertainties and heterogeneous views con-cerning economic strategies, thus enabling an intricate analysis of the strategic options put forth. The findings emphasize the necessity for a creative and cross-cutting strategy towards the reconstruction of the economy, emphasizing the fact that the solutions must be dynamic to the changing circumstances. Making an academic contribution, this research not only proposes a new theoretically based framework for the understanding of recovery, but also has practical recommendations that may help in formulating policies that are more robust and effective in times of crises.
Leveraging Advanced Machine Learning for Pioneering Monkeypox Diagnosis: A New Paradigm in Infectious Disease Detection
Authors:   School of ICT, Faculty of Engineering, Design and Information  Communications Technology (EDICT), Bahrain Polytechnic, Isa Town, Bahrain, El-Sayed El
Published: December 2024

Artificial intelligence (AI) is revolutionizing the problem solving of medical diagnosis, which has enduring issues, including early-stage disease, insufficient voluminous data, and diagnosis process ineffectiveness. This review demonstrates considerable progress in developing ML technologies, including monkeypox detection, Tuberculosis, and cancer diagnosis. CNNs have shown high efficiency in diagnostics; even InceptionV3, a transfer-learning model for clinicians, can reach 99.87% diagnostics. As privacy-preserving solutions, federated learning models work to improve diagnostic accuracy without increasing the exposure of individual data, and synthetic datasets derived from high-resolution techniques such as HiP-CT help deal with data scarcity by improving model construction and assessment. The hybrids of genome and metabolome integration helped enhance diagnostic accuracy measures, particularly for complex diseases like COVID-19, due to increased prognostic performance metrics using multiple biological information. However, few issues crop up even in modern society: Generalization of the model is an issue due to a lack of data, especially for rare conditions, and increased computational power requirements for most ML models pose a problem for implementation in low-resource environments. Prominent ethical issues incorporating algorithm prejudices and the ‘black box’ concept spotlight the requisite of an explainable AI (XAI) framework to provide visibility and credence in the medical facility. Possible directions in development, such as the standardization of frameworks, enhancing computational support, and integration of different fields, provide ways to address these challenges. When tackled, these challenges create the possibility of revamping global healthcare through suitable and scalable approaches informed by ML technologies that align with the patient’s needs, leading to better practices and, consequently, better health.
Improving Tuberculosis Diagnosis and Forecasting Through Machine Learning Techniques: A Systematic Review
Authors:   Telecommunications and Smart Systems Laboratory, University of Djelfa, PO Box 3117, Djelfa 17000, Algeria, Abdelaziz Abdelaziz ,   Amity University Kolkata, India  Amity School of Engineering and Technology, India, Dutta Pushan Kumar
Published: December 2024

Tuberculosis (TB) is ranked as one of the leading causes of death from infectious diseases in the present world, causing important health and economic consequences in the different developing countries. The practices of traditional diagnostic approaches, although still expected, are associated with relativity, slowness, and organs, besides being confined to visual observations and touch. The new and increased capacity in advanced machine learning is a promising area that has shown potential in improving the diagnosis of TB, as well as identifying drug resistance and disease management. This review presents various aspects of using ML in diagnosing and managing TB disease based on its various categories of models, including deep learning, hybrid approach, and the metabolomics approach. Some of these methods have been very effective, with high diagnostic performance improvements in sensitivity, specificity and accuracy; Furthermore, ML has been used to analyze the molecular picture of TB and to find drug targets of the disease toward future targeted therapies. As seen with the integration of ML, substantial benefits are provided by the solutions proposed. However, questions concerning the quality of data, interpretations of ML models and ethical problems hinder further application. This review concludes with the idea that ML can transform the diagnosis and management of TB and calls for more investment in developing this field to overcome these barriers to global health.
A Review of Machine Learning Techniques for Early Detection of Alzheimer's disease
Authors:   School of ICT, Faculty of Engineering, Design and Information  Communications Technology (EDICT), Bahrain Polytechnic, Isa Town, Bahrain, El-Sayed El
Published: December 2024

This review aims to discuss the use of AI and ML in diagnosing and managing neurodegenerative diseases, with particular emphasis on AD and MCI. Emerging innovations present in depth the effectiveness of using ML models such as SVM, random forests, CNNs, and new frameworks such as quantum-classical neural networks on data obtained from MRI imaging, EEG signals, genetic makers and sociodemographic data. Widely used research findings demonstrate that these tools offer seemingly higher detection rates, sensitivity, and specificity than traditional diagnostic techniques for identifying and diagnosing early-stage illnesses. Some of them are techniques based on analyzing EEG time-frequency bands, combining MRI and PET data integration approaches, and creating telemedicine services to overcome geographical barriers. Furthermore, interpretable AI models improve clinical relevance by providing decision and trust support among practitioners. While these achievements are notable, the following limitations need to be noted, thus making it easier to establish the generalizability of the results and ways of using datasets that are free from bias and difficulties associated with applying AI in clinical settings. There are pressing questions regarding patients' rights and privacy, the issue of homogenization and standardization of data, and the distribution and accessibility of AI tools across industries as well as within the same region. More studies should be conducted to expand AI applications, use a more diverse dataset, and promote cooperation between representatives of various fields of science to ensure that technological advancement meets clinical demands. It also includes new methods like Vision Transformers and Quantum Computing Enhanced Deep Learning to overcome diagnostic issues in time-consuming and multi-parametric data analysis. These gaps can be closed with the help of AI and ML to enhance diagnostic accuracy, select the right treatment strategy, and risk assessment for the long-term management of NDs. In conclusion, this review similarly reaffirms how stunning AI's role is in improving future neurodegenerative disease care. For this reason, the deployment process must be done sensibly to enhance the patient's value most appropriately.
Assessment of Bacterial Contamination in Locally Manufactured Cheese from Selected Factories in Tripoli City
Authors: Samira Jarad
Published: December 2024

It is now a new tomorrow in the food industry, where food materials are available, but can be exposed to threats from microbial contamination that may affect its quality and safety. This study aimed to evaluate bacterial contamination in local honey from four different factories in Tripoli, Libya. Twelve samples of cheese were collected, three samples from each factory, and were analyzed for microbial contamination. The results showed microbial contamination of the cheese, as the production of the first factory and the third factory had a large bacterial record, especially with Proteus spp. and Staphylococcus aureus Two types of bacteria cause food poisoning.,. In contrast, the second factory showed new production, while the fourth factory showed the presence of bacteria in low levels. These results indicate the importance of adhering to good hygiene practices, pasteurization protocols, and optimal storage conditions in cheese making and food safety. The study also highlights the ongoing need for quality control in monitoring and preventing microbial spoilage. In addition, the standard study emphasizes the importance of Libya Specification 354 of 1992 regarding microbial limits in cheese making and consumer safety.