bluuebunny/crossref_metadata_2025 huggingface dataset:
The Application and Optimization of Machine Learning in Big Data Analysis
Authors: Wang Zehan
Published: July 2024

As a branch of artificial intelligence, machine learning enables computers to learn rules and patterns automatically from massive data by training and optimizing algorithms. This paper discusses the important role of machine learning in big data analysis, paying special attention to the application comparison between neural network algorithm and support vector machine (SVM) algorithm. This paper first introduces the close relationship between machine learning and big data analysis, and then compares the differences between neural network and SVM in calculation time and prediction performance through experiments. The results show that when dealing with complex data, the neural network shows higher operating efficiency and prediction accuracy, and its accuracy is improved by more than 20% compared with SVM. This discovery provides a powerful basis for algorithm selection in the field of big data analysis, and indicates the great potential of neural network in processing large-scale data sets.
Exploring the Potential of CRISPR/Cas9 Technology in Autoimmune Disease Management
Authors: Wang Jue
Published: July 2024

Autoimmune diseases are a group of diseases caused by the immune system mistakenly attacking its own tissues and cells. Autoimmune diseases are marked by the binding of autoantibodies to self-antigens, where the immune system mistakenly recognizes its own proteins, DNA or RNA as foreign substances and produces autoantibodies. There is a large inter-individual variation in the detection of autoimmune diseases, and in terms of treatment it is still only possible to alleviate the disease. But the development of gene editing technology, especially the CRISPR system, has made it possible to treat autoimmune diseases by gene editing using the CRISPR/Cas system. This research focuses on the application of CRISPR/Cas9 technology for the detection and treatment of autoimmune diseases. Relying on the high affinity of the dCas9 protein-sgRNA complex for specific sequences, abnormal nucleic acid sequences can be detected, and the use of the Cas12 system with exogenous ssDNA as a signal can make the results more obvious. In terms of therapy, according to previous experimental reports, the CRISPR/Cas9 system shows its potential in treating autoimmune diseases in three ways: directly knocking down the relevant disease-causing genes, modulating enhancers to activate or silence them by using CRISPR/dCas technology, and editing CAR T-cells to attack B-cells and plasma blasts by using CRISPR/dCas technology. This research will provide an in-depth discussion of these three aspects and their rationale, and make a discussion based on the current challenges of treating autoimmune diseases.
Use the Time Series Model to Analyse the Situation of Health Expenditure and Financing in the United States
Authors: Lu Congyu
Published: July 2024

As the GDP per capita continues to rise, the economy is developing rapidly. The demand for healthcare has increased accordingly, leading to a change in healthcare-related spending. Consequently, this paper collects data published by the Organisation for Economic Co-operation and Development on US health spending and pharmaceutical spending between 1987 and 2021 and conducts a time-series analysis of the data. It explores the changes that have occurred in health expenditure and financing in the U.S. and makes related forecasts. The analysis results find that health and pharmaceutical related expenditure in the United States shows growth and stability. However, there is a significant issue for these two huge costs, which is unsustainable spending on healthcare. In addition, the results of the predictive model show the United States will experience growth in the next decade to meet the increasing demand of people for health care and to promote a high-quality health care system in the country. Therefore, it is recommended to improve the management of the healthcare system and try to rationalize the allocation of healthcare-related expenses.
Risk Factors Associated with Depressive Symptoms Among High School Students in China
Authors: Liu Sitong
Published: July 2024

Addressing the problem related to increasing rate of depression and high suicide rates among teenagers in China, the aim of this research is to examine the potential risk factors associated with depressive symptoms among Chinese high school students that is a special age group within China’s population. The goal is to let more people realize this problem and better for schools and communities to come up with suitable or appropriate solutions for it. This can benefit the high school students’ group as a whole. In this research, qualitative research method was being used. By doing a detailed literature review, I specifically put all the results into three category that are representative and determined three risk factors which include academic pressure, family relationship problems and lack of social supports.
Vincenz Hundhausen and the Spread of Chinese Opera in the German-Speaking World in the 1920s and 1930s
Authors: Huang Yuxuan
Published: July 2024

In the 1920s and 1930s, German sinologist Vincenz Hundhausen devoted himself to translating and staging Chinese operas. The poetic translation method makes the translation more understandable to audiences in the German-speaking world, and the performance form that is gradually closer to the opera itself has made Chinese opera successfully appear on the stage in the German-speaking world and received a good response. This paper draws on cross-cultural communication theory and from a historical perspective, conducts an in-depth study of the background, situation and impact of the spread of Chinese opera in the German-speaking world in the 1920s and 1930s. It demonstrates the important role of Vincenz Hundhausen’s translation and performance in promoting the progress of Chinese and Western dramatic art and cultural exchanges, and expanding the international influence of Chinese culture. It also provides certain reference and inspiration for the current overseas dissemination of Chinese opera and its own development.
Research and Practice on Project Teaching of Electrical Control and PLC Course based on Engineering Innovation Ability Cultivation
Authors: Ding Lingmei
Published: July 2024

In response to the wide knowledge coverage and strong practicality of the course "Electrical Control and PLC", this paper proposes a method to cultivate students' engineering innovation ability, explains how to use specific project-based course tasks as carriers, how to cultivate innovative thinking and abilities, how to combine teaching with practice, and finally uses the course design content as a specific example to demonstrate the practical teaching process in the classroom.
Beauty without Wisdom from Esmeralda: Another Dimension under the Principle of Comparing Beauty and Ugliness in Notre Dame de Paris
Authors: Liu Junyang
Published: July 2024

In the French literary giant Hugo's work Notre Dame de Paris, Esmeralda is a prominent female protagonist who has also left an important mark in literary history. Her stunning appearance and pure, lovely heart deeply attracted the male protagonists Quasimodo, archdeacon Claude, and captain of the guard Fibbs. However, there is a soul deficiency in the body of this beautiful woman, that is, beauty without wisdom. This made her unable to distinguish good from evil, to see the beautiful soul beneath Quasimodo's ugly exterior, and to see the frivolity beneath Fibbs's handsome face. The soul deficiency represented by Esmeralda's unintelligent beauty makes Quasimodo's sincere devotion to her become an illusion. This, coupled with her death at the end, gives the readers a sense of great tragic emptiness.
Digital Finance and Corporate Social Responsibility: Empirical Evidence from Listed Companies in China
Authors: Junyan Li
Published: July 2024

Digital finance is of great significance in promoting corporate social responsibility. This paper empirically investigates the relationship between digital finance and corporate social responsibility based on the Digital Inclusive Finance Index compiled by Peking University. It is found that the development of digital finance has a significant driving effect on the fulfilment of CSR, and this conclusion still holds after endogeneity treatment. The paper further explores its mechanism of action and finds that digital finance promotes CSR mainly by relaxing corporate financing constraints and enhancing corporate investment efficiency. In addition, the paper also finds that there is heterogeneity in the impact of digital finance on CSR, with more significant effects on encouraging CSR in provinces with a relatively low degree of marketisation and among non-state-owned enterprises.
Exploring the Interactive Relationship between Computational Thinking and the Development of Artificial Intelligence
Authors: Tian Shenmeihao
Published: July 2024

This paper explores the interactive relationship between computational thinking and the development of artificial intelligence. It begins by defining computational thinking and highlighting its importance in problem-solving and fostering creativity. The overview of artificial intelligence technologies, their impact across industries, and future trends and challenges are then discussed. The paper delves into how computational thinking influences advancements in artificial intelligence and how AI, in turn, enhances computational thinking skills, emphasizing the synergies between the two concepts. Case studies are presented to illustrate the collaborative relationship between computational thinking and AI, showcasing successful applications and lessons learned. Lastly, the importance of integrating computational thinking into educational curricula, leveraging AI in teaching computational thinking, and recommendations for promoting their interactive relationship are provided.
Synergistic Integration of Self-Powered, Flexible Wearables with Advanced Gesture Recognition for Deaf-Mute Communication
Authors: Li Zhengju
Published: July 2024

This research confronts two pivotal challenges in advancing assistive communication devices for the deaf and mute community: enhancing the longevity of device operation through self-powered sensor technology and improving gesture recognition accuracy with sophisticated algorithms. The study introduces a novel design for flexible, wearable devices that harness kinetic and thermal energy, converting them into electrical energy to ensure continuous operation. This approach eliminates the need for frequent recharging, thereby increasing the autonomy of these assistive devices. In addressing the second challenge, the research refines deep learning algorithms to significantly boost the precision and accuracy of gesture recognition. These algorithms are trained on an extensive dataset that includes a broad spectrum of sign language gestures, captured by sensors on the wearable device. This methodology not only promises a breakthrough in the self-sufficiency of wearable assistive devices but also improves the effectiveness and usability of sign language to speech translation. Such advancements facilitate more seamless, barrier-free communication for individuals with hearing and speech impairments. Preliminary results demonstrate the potential of integrating self-powering capabilities with advanced gesture recognition technology, marking a considerable advancement in assistive technology.
Insurance Underwriting Decision Study Based on Analysis of Extreme Weather Intensity
Authors: Song Jialei , Wang Yueting , Li Bin
Published: July 2024

As global climate change intensifies and extreme weather events escalate in frequency and severity, the insurance industry faces significant challenges in risk assessment and underwriting strategies, highlighting the inadequacies of traditional approaches. This article presents a comprehensive study that addresses the urgent need to reconcile insurance companies' profitability with homeowners' ability to cope with increasing risks and losses. This study uses demographic and economic factors to assess the impact on insurance profitability and uses the TOPSIS algorithm to assess the profitability of insurance companies and formulate appropriate underwriting strategies. The analysis includes a comparative assessment of the forecast profitability and actual profitability of US and UK insurance companies in 2020. Their composite score index is greater than 0.2, and they all have the option of underwriting. Comparison with relevant data confirms the validity of the research. This article uses five indicators: population density, economic development level, the intensity of extreme weather events, community building resilience, and community service level to formulate decision-making plans. It uses the analytic hierarchy process (AHP) and consistency test to finally calculate a comprehensive scoring index. Determine the risk level of each region and provide targeted suggestions to insurance companies. In addition, a "property loss model" for future data prediction is developed to help insurance companies make profits and homeowners reduce losses, thereby achieving mutually beneficial results.
Research on the Development of French Phonetic Content in College French Textbooks
Authors: Zhou Chuyan
Published: July 2024

This paper aims to study the development of French phonetic content in university French textbooks. By introducing the basic concepts of French phonetics and analyzing the current status of university French textbooks, the teaching methods and development trends of French phonetic content are explored. A comparison between traditional and modern teaching methods, as well as the application of technological means in teaching, provides theoretical support for this study. Through an investigation of teaching philosophy, the perspective of textbook authors, and learner needs, the future development of French phonetic content is forecasted, and relevant recommendations are proposed.
Progress And Comprehensive Analysis of Intelligent Grasping Technology for Robotic Arms Based on Computer Vision
Authors: Shen Junjie
Published: July 2024

With the continuous progress of technology and the increasing demand, industrial robotic arms have gradually developed into an important production tool. The current research goal for the development and application of industrial robotic arms is to improve production efficiency, reduce costs, improve quality and safety, in order to achieve industrial automation and intelligence. The application of computer vision technology can improve the autonomy, flexibility, and intelligence level of industrial robotic arms, enabling them to play a better role in industrial production. This article first introduces several different visual systems, including Eye-in-hand and Eye-to-hand (monocular, binocular vision systems, heterogeneous perception systems) for robotic arms. Then, three algorithms for feature extraction of robotic arm grasping targets were introduced and explained: SIFT, SURF, and ORB. Finally, summarize the analysis of workpiece target feature extraction and matching techniques applied to industrial robotic arms. This article summarizes several technical research directions for improving the performance of industrial robotic arms. It has reference significance for improving the production efficiency and quality of robotic arms, achieving automation and intelligence, adapting to complex environments, and expanding the application fields of robotic arms. In the future, intelligent recognition and grasping control of robotic arms may be further integrated with other technologies such as artificial intelligence, machine learning, sensor technology, etc., to enhance the intelligence level of the system. The robotic arm can adapt better to different tasks and environments through continuous learning and adaptive adjustment, improving its versatility and flexibility.
Exploration of Deep Learning and Neural Network Course Teaching Reform in Finance and Economics Colleges under the Background of New Engineering
Authors: Li Qingxu
Published: July 2024

In response to the new challenges that economic development poses for talent cultivation, China is actively promoting the construction of new engineering disciplines. Under the new engineering background, fostering students' comprehensive cross-disciplinary abilities, entrepreneurial spirit, and practical skills has become one of the main objectives of talent development. This paper analyzes the current state of teaching the "Deep Learning and Neural Networks" course and, guided by the concept of new engineering construction, explores teaching reforms specifically from aspects such as optimizing teaching content, innovating practical teaching, faculty development, and optimizing course assessment indicators.
Exploration of Teaching Reform Practice of the Course “Sales Promotion and Business Negotiation” Based on Hybrid Teaching
Authors: Li Yi , Wu Jun
Published: July 2024

In the context of deep integration of the global economy, the importance of the marketing industry is increasingly prominent, and there is an urgent need for professionals with innovative thinking, commercialization promotion capabilities, negotiation skills, and communication execution capabilities. National policies have put forward clear requirements for higher vocational education, especially to promote the digital transformation and teaching reform of vocational education. The policy documents issued by the Ministry of Education and relevant departments emphasize the use of modern information technology to improve teaching methods, adapt to the new forms of "Internet plus" and "smart plus" education, and enhance the quality of vocational education. Against this backdrop, sales promotion and business negotiation, as core courses in the marketing major, are crucial for students' future career competitiveness. However, the current "Sales Promotion and Business Negotiation" course lags behind in terms of teaching content and teaching methods, and needs to keep pace with the times. This article takes this as a starting point to explore teaching reform through blended teaching models to adapt to rapidly changing business environments and market demands.
The History and Development Logic of China's Urban Housing Security System Since the Reform and Opening-up
Authors: Zhu Yuanyuan
Published: July 2024

Housing is an important issue related to people's basic needs for survival, social stability and development. Most studies have focused on the forms of protection and institutional improvement of the urban housing security system, but few have analysed it from the perspective of institutional change. Based on the paradigm of historical institutionalism analysis, it is found that since the reform and opening up, the system has gone through four different stages: strengthening government subsidies, emphasising provident fund services, emphasising demand-side reforms and returning to housing attributes. The obvious incremental benefit effect at the economic, social and political levels, stakeholder participation, the formation of interest inertia, the self-reinforcing mechanism caused by empirical inertia and the high exit costs have led to a strong path dependence in the change of the urban housing security system. The introduction of housing security policies, the movement of a large number of rural residents and the idea of "housing is not for speculation" are the key points in the evolution of the system, and the interplay of these internal and external contradictions has driven the evolution and progress of the urban housing security system.
Learning Environment as an Influencer of Students’ Performance in A University in China
Authors: Su Chang
Published: July 2024

This document investigates the impact of the learning environment on students' academic performance at Guangdong University of Technology in China. It underscores the crucial role of teachers in creating a supportive, inclusive, and engaging atmosphere that enhances student collaboration, motivation, and overall academic success. Key components of a positive learning environment—student cohesiveness, support, involvement, cooperation, and equity—are thoroughly examined. The study demonstrates how these elements contribute to a sense of belonging and academic achievement among students. By fostering strong relationships and promoting fairness, teachers can significantly influence students' academic experiences and outcomes. Using a descriptive-comparative-correlational design, the research collected data from 407 student respondents across various courses and year levels through survey questionnaires. The study identifies that while age significantly influences perceptions of student cohesiveness, other factors such as sex and course do not show significant differences in perceptions of support, involvement, cooperation, and equity. These findings highlight the importance of considering age-related dynamics in fostering a cohesive student community. The findings reveal that a well-established learning environment, characterized by strong teacher-student relationships and equitable practices, is crucial for fostering academic success and well-being. The study highlights the importance of teachers' feedback, classroom dynamics, and the educational context, especially during the COVID-19 pandemic, in shaping the learning environment. Recommendations for enhancing the learning environment include increasing teacher awareness and training, promoting collaborative learning, and ensuring consistent support and engagement opportunities for all students. The study emphasizes the need for continuous improvement and adaptation to meet the diverse needs of students, creating an environment conducive to their academic and personal growth. By implementing these strategies, universities can better support students in achieving their academic goals and preparing for future career success.
Exploring the Integration Path of Intangible Cultural Heritage into Higher Education Aesthetic Education from the Perspective of Experiential Education
Authors: He Yinping
Published: July 2024

From the perspective of experiential education, the integration of intangible cultural heritage into aesthetic education programs in colleges and universities is of profound significance. This approach not only enriches the educational experience but also fosters a deeper appreciation and understanding of cultural heritage among students. First of all, the intangible cultural heritage carries rich cultural connotations, has the functions of moral guidance, value inheritance and moral education shaping, and can provide students with unique cultural experience and value guidance. Secondly, the intangible cultural heritage integrated into the aesthetic education of colleges and universities is faced with difficulties such as insufficient recognition and inheritance dilemma, which needs to be solved by innovating teaching methods and improving the level of teachers. Therefore, it is suggested to follow the basic principles, such as respecting the tradition, paying attention to practice, openness and inclusiveness, etc., and to integrate the intangible cultural heritage into the aesthetic education in universities in an innovative way. Finally, in order to achieve this goal, we can provide students with more diversified cultural experience and promote the inheritance and development of intangible cultural heritage by creating path strategies to integrate the intangible cultural heritage into the aesthetic education of colleges and universities, so as to achieve better educational effects.
Research on Sailboat Sales Pricing Models Based on Random Forest and XGBoost Algorithms
Authors: Wang Xiaomo
Published: July 2024

As global trade grows, the increasing demand for sailboats, influenced by factors like manufacturing costs and economic conditions, highlights the need for accurate price predictions in a fluctuating market. This study leverages Random Forest and XGBoost machine learning models to predict sailboat pricing by analyzing a dataset collected from various economic sources. A robust data cleaning process was employed, followed by data normalization and dimensionality reduction through Principal Component Analysis. The models were optimized and evaluated using cross-validation techniques, with a focus on understanding feature importance through sensitivity analysis. The performance was quantified using metrics such as MSE, RMSE, and R². Ultimately, the XGBoost model outperformed Random Forest, providing a more accurate and reliable prediction of sailboat prices, attributed to its ability to handle complex variable interactions more effectively.
Exploring Big Ideas-based Holistic Unit Teaching Design from the Perspective of Ausubel’s Subsumption Theory
Authors: Wang Na
Published: July 2024

Big Ideas-based and Thematic Meaning-focused Holistic Unit Teaching Design (BIHUTD) is playing a significant role in cultivating students’ English core competences. In a Big Ideas-based Holistic Unit Teaching process, the inquiry of thematic meaning of a unit is literally the construction of big ideas. This thematic meaning is then closely connected with other sub-themes of each text by leading those subordinate discourses. The prominent role of this concept of association is in concordance with the relatability between new knowledge and cognitive structure in Ausubel’s Subsumption Theory. From the perspective of Meaningful Learning and Systematic Forgetting (Ausubel, 1968), more profound insights can be obtained regarding the underlying mechanism and practice strategies of BIHUTD. Through BIHUTD, meaningful learning can be achieved by building substantive association between thematic meaning and sub-themes of texts; long-term memory can be achieved by providing various meaningful texts and contexts related to both sub-themes and big theme; cognitive pruning can be achieved by incorporating specific and fragmented items and sub-themes in each text into the generalized thematic meaning of a whole unit. In BIHUTD, teachers can manufacture meaningfulness by setting objectives, organizing content and arranging activities based on the big theme, promote optimal pruning procedures by supplementing and integrating textbook discourses with different perspectives to construct thematic meaning, and facilitate communicative competence by providing production activities to deepen thematic meaning.
Examining The "Super-National Treatment" Of International Students in China: Current Situation, Reasons and Solutions
Authors: Liu Dake
Published: July 2024

After the 1990s, globalization has developed rapidly, and the connections between countries have become increasingly closer. Since the reform of the market economic system, China has greatly deepened its openness. The government and major universities have also introduced a series of preferential measures to strongly support the arrival of international friends. Of course, whether these measures are appropriate and effective remains to be discussed. This article mainly discusses the issue of "super-national treatment" for international students in China. How do the Chinese government and universities treat international students? How's the effect? Why should they be treated according to the principle of “super-national treatment”? How should they be treated? Drawing on the experience of other countries, this article gives various reasons and suggestions based on different subjects such as the country, universities, and society. It is concluded that to solve the problems caused by "super-national treatment", it is fundamentally necessary to start from quality control.
Quantitative Light Pollution Analysis Based On K-Means++ Cluster Analysis and Neural Networks
Authors: You Jiaying
Published: July 2024

The purpose of this study is to investigate the problem of light pollution, to quantitatively analyze a wide range of light pollution and to simulate the effect of regional control strategies. First, TANGY model was introduced to transform the light pollution evaluation from simple luminous flux calculation to comprehensive evaluation. TOPSIS evaluation method optimized by entropy weight method and BP neural network optimized by genetic algorithm were used to calculate the light pollution index. Secondly, three strategies to solve light pollution are proposed, and the implementation model is constructed by cluster analysis and regression modeling. The optimal strategy is determined by gradient enhanced decision tree algorithm, and the prediction model of light pollution intervention strategy is constructed. This study provides an effective reference for the formulation of light pollution prevention strategies in different regions, and is expected to have practical significance in the field of environmental protection.
The origin and evolution of primates
Authors: Wang Zirui
Published: July 2024

This study presents an in-depth exploration of primate evolution, with a focus on human ancestry, offering a multifaceted view of the progression of brain development, species diversification, the emergence of complex social structures, and the variation in genetics and disease-related genes. Through the analysis of fossil records, contemporary genetic data, and meticulous behavioral studies, we find that the intricacies of primate cerebral architecture and social interactions are underpinned by distinct genetic and evolutionary foundations. Interestingly, the research suggests that reproductive barriers among primate species are not insurmountable, despite pronounced ecological and morphological distinctions, evidenced by substantial gene flow among divergent groups. The rapid evolution of sex chromosomes and the influential role of regulatory sequences in the cognitive development of primates are examined, with particular attention to the critical function of these regulatory elements in the cerebral evolution of humans. Furthermore, the study unveils the promising use of DNA methylation profiles in the reconstruction of primate evolutionary relationships, underscoring a significant correlation between the conservation of epigenetic marks and the density of transcription factor binding sites, which may offer new insights into the phylogenetic connections among primates.
The Development of Operation Management in Industrial Enterprises Under Digital Transformation-Taking the Footwear Industry as An Example
Authors: Zhou Ruixin
Published: July 2024

With the development of Data Technologies, the digital transformation of industrial enterprises is imminent. The demand for individuation in the market also pushes enterprises for innovation. Thus, the realization of digital transformation has an important impact on supply chain cost management and labour resource management. Through empirical research, this paper uses empirical study and finds that new technology and the combination of the existing industrial chain and operation chain are the main problems in enterprises during digital transformation. Solving these problems can be achieved through the development of digital strategic planning, using digital operation, and optimism technological innovation operation management and technological production mode. At the same time, industrial enterprises should also pay attention to the balance between human costs, technology costs and industrial upgrading costs. Under the condition that the basic stability of the enterprises is granted, industrial enterprises should make digital exploration gradually to avoid the negative impact of high-tech enterprise management.
The Current Status and Strategies for the Professional Adaptability of Newly Hired Psychology Teachers
Authors: Dai Lin
Published: July 2024

Educators play a central role in the education system and are crucial for enhancing the national level of education. In today's era, an increasing number of young individuals are entering the education sector, with a considerable proportion being new teachers. The adaptation period for new teachers entering the profession is a key time for deepening their understanding of the educational career. Research through numerous literature reviews has found that while studies on kindergarten and primary and secondary school teachers are abundant, there is a relative lack of research on the professional adaptability of teachers specifically engaged in psychological education. This study aims to address the professional adaptation issues of newly appointed psychology teachers. It intends to provide a sustainable development platform for these new teachers through professional development and targeted solutions to specific problems, helping them to overcome obstacles in their professional growth process. Practical recommendations and strategies are proposed to fill the gaps in existing research.
The Relationship Between Financial Performance And ESG: Evidence from Bloomberg
Authors: Zhou Kaifeng
Published: July 2024

This study delves into the relationship, between Environmental, Social, and Governance (ESG) metrics and company performance. Through regression analysis, the research examines data from known companies across industries and regions to understand how ESG scores impact stock prices. The results reveal a link indicating that improvements in ESG practices often lead to stock values, especially in wealthier sectors and stable economic conditions.Of note is the emphasis on governance aspects within the ESG framework, which significantly influences performance indicators in banking and securities. This underscores the importance of ESG factors in decision-making and their growing significance as indicators of investor interest and market trends. The study shows that a company’s dedication, to practices, is now factored into its market worth with governance playing a role that demands attention from both corporations and regulatory bodies. The research findings have implications demonstrating that a company’s ESG performance reflects its ethical stance and contributes tangibly to its financial value. This valuable insight is crucial, for businesses looking to match their sustainability initiatives with investor demands and for industry analysts trying to grasp the impacts of social responsibility projects. From this perspective, the study provides advice, on how ESG strategies can be implemented to meet sustainability goals and improve outcomes promoting lasting stability and progress.
Different treatment for acute myeloid leukemia
Authors: Jia Shimei
Published: July 2024

Leukemia has become one of the major diseases endangering people's health, which is characterized by a low survival rate and high relapse rate. Although the cure rate of leukemia has been increasing year by year with the continuous improvement of medical technology, nearly half of the patients miss the optimal treatment period due to the failure of early detection and ultimately develop difficult-to-treat acute myeloid leukemia (AML). Due to various uncertainties affecting the treatment of the disease, such as age, degree of morbidity, and external environment, AML cannot be regarded as a homogeneous disease, and different treatment protocols need to be tailored to different individuals, which makes the treatment of AML even more difficult. The need to tailor different treatment regimens for different individuals makes the treatment of AML more difficult, so more detailed and in-depth research on AML is necessary. There are also new advances in the treatment of AML, such as the combination of venetoclax with other drugs and targeted drugs. In this article, the treatment of AML with NPM type 1 mutations and AML not targeting specific mutations will be described in detail.
Research on an optimization scheme for automated pricing and replenishment decisions for vegetable commodities
Authors: Cai Yiquan , Wang Zizheng , Wu Longyao
Published: July 2024

With the increasing competition in the fresh food market and the emergence of fresh food superstores, a reasonable pricing strategy has become crucial to the operation of superstores. This paper focuses on the relationship between sales volume and pricing as well as the impact of total replenishment and pricing strategy on vegetable sales. By analysing the sales data of the chilli category, a certain positive correlation between sales volume and pricing was found, which was quantitatively analysed using a polynomial regression model. The total replenishment and pricing strategy was analysed using the chilli category as an example, and a cost-plus pricing strategy was used to optimise the total replenishment and pricing, resulting in the total replenishment and pricing strategy for the week ahead. A linear regression model was developed and optimally solved using a simulated annealing algorithm to obtain the daily replenishment quantity and pricing strategy for each vegetable, considering the replenishment category and minimum weight constraints. Ultimately, the optimal replenishment quantity and pricing strategy for each vegetable item were obtained, providing a reference basis for vegetable sales.
The Dispute between "Problem and Doctrine" under the Perspective of Marxism
Authors: Wang Keqiong
Published: July 2024

The dispute between "problem and doctrine" is an important historical achievement of the spread of early Marxism in China, and it plays an important role in promoting the sinicization of Marxism. The discussion of the dispute between "problem and doctrine" is based on a debate among advanced intellectuals based on what path and what banner China chooses to take in the future under the changing domestic and international era background. In this debate, the two sides fully explain their views on the basis of maintaining friendly relations, but also gain more learning knowledge. Through this debate, advanced intellectuals have realized that they should firmly believe in Marxism at any time, and at the same time adhere to the principle of combining theory with practice, combine the basic principles of Marxism with China's actual situation in China, and draw on all the excellent and beneficial achievements of civilization. This debate opened a new situation of the spread of Marxism in China and opened up a new realm for the spread of Marxism in China.
A Preliminary Exploration of Practical Teaching Course Design for Ideological and Political Theory Courses in Vocational Colleges
Authors: Chen Zhiying
Published: July 2024

The practical abilities of students in vocational colleges are increasingly valued by the state. Practical teaching has become an essential component of ideological and political theory courses. However, domestic practical teaching in these courses is often subjective, occasional, and random, lacking a scientific and formal curriculum system. This article analyzes the teaching system of ideological and political courses, primarily from several aspects such as practical teaching concepts and policy basis, teaching organization forms and content design, and teaching assessment. It explores how to better implement practical teaching.
The Effectiveness Of COVID-19 Vaccination in Protecting Older Adults Against Emerging Infectious and Virulent Strains
Authors: Gong Yaping
Published: July 2024

Background: With aging, older people are more vulnerable to have a severe COVID-19 infection as their immunity weakens and they are likely having chronic illnesses. As the pandemic develops, more infectious and virulent strains emerge, vaccines are a significant tool to slow the spread of COVID-19, however, there are differences in the response to vaccines among different age groups. Objective: To evaluate the COVID-19 vaccine’s efficacy in protecting the elderly against emerging infectious and virulent strains. Methods: A literature search of PubMed, ScienceDirect, Frontiers and Springer Link databases was performed since the COVID-19 outbreak in December 2019 to the current time. The keywords "SARS-CoV-2", "older adults", "vaccination", "effectiveness", and "COVID-19" to filter out applicable articles and combined visual and numerical summaries to summarize the data. Results: Forty-four articles were found in the literature, and finally ten eligible articles were selected. The selected studies indicated that the elderly can be effectively protected against emerging infectious and highly virulent strains by the COVID-19 vaccination. Conclusion: The COVID-19 vaccination can reduce the incidence of serious disease and mortality in older persons, and booster shots can provide continued protection by increasing the effectiveness of the vaccine, significantly reducing infection rates, rates of serious illness, and mortality in older adults. It is necessary to prioritize the administration of COVID-19 vaccine to the elderly.
Research on Museum Evaluation Model Based on Emotional Perception Text Analysis
Authors: Ji Tongjuan , Wang Qiuya , Mao Jiawei
Published: July 2024

Museums are an important component of the public service cultural system. At present, the museum as a whole is in a state of overall prosperity. However, there is still a situation of supply homogenization in some local museums, which requires improving their own characteristics, carrying out supply side structural reforms, and achieving innovative transformation and creative development of public cultural services. This article establishes an emotion perception text model, identifies the emotional types of museum comments, calculates evaluation scores, and finally proposes feasible suggestions to help museums adhere to integrity and innovation, and alleviate awkward situations. This article uses user feedback data on Chaotian Palace, Zhanyuan, Ganxi Mansion, Jiangning Weaving Museum, and Six Dynasties Museum in Nanjing to establish an emotional discrimination model. By locating and quantitatively analyzing the emotional keywords in the comment content, calculate the corresponding emotional score of the user's comment content. Then, set a score threshold to determine the positive, neutral, and negative emotional types of user evaluations for each museum. Obtain the emotional distribution of each museum through statistical analysis.
Study on the Application of Cooperative Learning Based on Constructivism in Junior High School English Reading
Authors: Hu Wankun
Published: July 2024

As one of the basic forms of human interaction, cooperation has penetrated into every field of human life. With the continuous improvement of the level of economic development, the society has higher and higher requirements for the sense of cooperation and skills, and the social development has stronger and stronger requirements for the sense of teamwork and spirit of people. Cooperative learning can enable students to complete reading tasks more efficiently in the context of mutual help and communication, which is also in line with the cognitive law of students, and can strengthen the emotional communication and thinking collision between students and teachers. In junior middle school English reading teaching activities, the use of cooperative learning teaching method can not only improve the efficiency of English reading teaching, but also play the main role of students, cultivate students' interest in reading, and help students to participate in learning activities in a good state. This paper takes the cooperative learning based on constructivism theory as the research object, analyzes the problems existing in junior high school English reading teaching, and then explores the strategies of cooperative learning in junior high school English reading teaching.
Research on Damage Identification of Civil Engineering Structures based on CiteSpace
Authors: Zhao Haolan
Published: July 2024

With the continuous innovation of technology and building materials, civil engineering has been rapidly developed. However, due to various reasons, China's in-service building structure is or will usher in the peak of structural damage. This paper aims to study the development stage of structural damage identification in civil engineering, and find out the research hotspot and development trend in recent ten years. Based on Web of Science (WoS) platform, the damage identification methods of civil engineering structures in recent ten years are studied by CiteSpace software. The results show that: through the literature feature analysis, the words with the highest frequency are "damage identification", "model", "frequency", and "crack detection". The word with the strongest burst is "wavelet transform," and the word with the longest duration is "Kalman filter." This paper offers a theoretical basis and reference value for the research hotspot and development trend of damage identification of civil engineering structures.
Research On the Effect of Unconsciousness on Human-Computer Interaction in Web Interfaces
Authors: He Jieling
Published: July 2024

Unconscious interaction design can enhance the readability and learnability of web browsing to a certain extent, and it helps users achieve a natural and smooth interactive experience. At present, more and more researchers are involved in the study of unconscious interaction design. This paper argues that web interface design should focus on understanding the potential needs of users during the design process of human-computer interaction. It proposes researching the unconscious behavior of users while browsing and utilizing this research in combination with the design of the three modules in the interface. This will enhance and improve the conceptual model for human-computer interface design, by considering the impact of unconscious behavior. This paper delves into the shared characteristics and likenesses of the subconscious concepts within the user's psyche in web interfaces. Its objective is to uncover new and creative methods that will empower designers to explore human-centered and deconstructed design principles while navigating technological paradoxes.
The Impact of Environmental Protection Industry on Economic Development
Authors: Zhao Yiting
Published: July 2024

This study investigates the impact of the environmental protection industry on economic development, with a focus on sustainable practices and green technologies' contributions to economic growth. The environmental protection industry, integral in mitigating pollution and conserving natural resources, plays a pivotal role in sustainable economic development. The research utilizes case analysis to demonstrate the environmental protection industry's effect on GDP, regional development, and its variance in influence between developed and developing countries. Through comprehensive analysis, the paper reveals that investments in environmental protection not only foster job creation and GDP growth but also contribute to long-term economic sustainability by promoting energy efficiency, reducing healthcare costs, and stimulating innovative technologies. The study underscores the importance of integrating environmental sustainability into economic policies to balance growth with ecological preservation. Moreover, the paper delves into the social implications of environmental protection, emphasizing its significance in reducing environmental inequality and enhancing community well-being. Through case studies, including Morocco's renewable energy ambitions and Inner Mongolia's wind power industry, the study illustrates the tangible benefits of environmental protection efforts on employment, energy transition, and economic development.