bluuebunny/crossref_metadata_2025 huggingface dataset:
Prevention and Treatment of Alzheimer's Disease Through CRISPR/Cas Technology
Authors: Liu Jiachi
Published: June 2024

Neuronal loss and the stereotyped deposition of misfolded proteins are hallmarks of Alzheimer's disease (AD), A neurodegenerative disease related to age that is common, progressive, and fatal. The formation of amyloid β oligomers may contribute to the pathogenesis of multiple diseases, including the development of tau neurofibrillary tangles and oxidative stress. Between 20% and 40% of persons with AD go on to have severe dementia or pass away within three years. The only things that the current generation of Alzheimer's medications can do are postpone the onset of the illness and make a maximal difference in the lives of those who use them.Early diagnosis, management, and treatment of individuals with neurodegenerative disorders are crucial .But there are currently no relevant treatment options for the accumulation of amyloid beta and neurofibrillary tangles. CRISPR has been widely used in molecular biology research because it is fast, effective, cheap, and easy to operate compared to traditional gene editing methods, and thus has quickly become one of the most popular biological research tools. This article intends to use the gene editing CRISPR technology, which has the advantages of simple design, time period, and low cost, to knock out or edit the genes corresponding to Alzheimer's disease to achieve targeted treatment of this accumulation phenomenon.
A Comparative Analysis of Chinese and English Internet Popular Words in 2023 from a Sociolinguistic Perspective
Authors: Li Ziyi
Published: June 2024

This study conducts a comparative analysis of Chinese and English Internet buzzwords from 2023 using a sociolinguistic lens to explore their reflection and influence on respective cultural and social contexts. Internet buzzwords, as linguistic phenomena, encapsulate the dynamic interplay between language innovation and societal trends, offering insights into cross-cultural communication and the pervasive impact of digitalization. Utilizing a qualitative research methodology, the study analyzed data sourced from national and international digital media platforms. Findings reveal distinct cultural predilections: Chinese buzzwords largely underscore collective values and traditional sensibilities, while English buzzwords tend to highlight individualism and personal authenticity. The study underscores the role of language as a cultural artifact, shaped by and shaping social identities in a globalized discourse, thereby contributing to sociolinguistic theory by illustrating how language both influences and is influenced by socio-technological evolutions.
Precipitation pulses and intraseasonal drought in Northeast China
Authors: Chen Nina , Lauenroth William K. , Li Guohui , Mi Na , Zhang Yushu
Published: June 2024

30 years meteorological data were collected to analyze variations of precipitation amount, number of days, frequency and intervals using the Mann-Kendall (MK) and t test and relationships between rainfall patterns and climates over rainfed farmland. The results indicated that annual precipitation amount had a downward trend from 1989-2018. Whether in different years or months, small precipitation events(0<P ≤5 mm) are a dominating feature, significantly and positively related to annual total precipitation, which mainly occur in early or late growing seasons (May or September). The precipitation intervals decrease along with the category, and are longer in the drought years than in the humid years. Percent of intervals <6 days are more than 65%, the average dry days are 5. Short intervals(1-3 days) increase from May, get to the maximum in mid-growing season. Long intervals (>4 days) are opposite. While in growing seasons, the average dry days are <3 days.
Heritage and Reinvention: A Cultural Narrative Study of Han and Tang Ceremonial Ceramics from the Perspective of Cultural Memory
Authors: Liu Jing , Wang Wen
Published: June 2024

Cultural memory is the interactive expression of past historical memory, identity recognition, and cultural continuity. The cultural inheritance of Han and Tang ceremonial ceramics is not only a simple reminiscence and "replication" of the past culture, but also a cultural reinvention rooted in the present and future, aiming to remedy the erosion and dissolution suffered in daily life. Constructing cultural inheritance through cultural memory requires reshaping memory in the context of "living inheritance" combining the cultural connotation of Han and Tang ceremonial ceramics with the conditions of the times, and endowing them with new contemporary significance. Through the living inheritance and modern reinvention of Han dynasty ceremonial ceramics, cultural memory forms a cultural transmission chain, identifying the cultural genes of Han and Tang ceremonial ceramics applicable in contemporary China, and facilitating their creative transformation and innovative development.
Research on the Path and Regional Heterogeneity of Digital Economy Enabling New Quality Productivity Based on Provincial Panel Data
Authors: Li Xiaofeng , Li Ning , Zhou Luyao , Zhou Zejiong
Published: June 2024

The digital economy, as an emerging economic form, is a key force in promoting high-quality economic development, solving the current traditional mode of production that relies on a large number of resource inputs and highly consumes resource and energy development methods, and improving new-quality productivity. This paper analyzes the impact of digital economy from the comprehensive perspective of new quality productivity by using China's provincial panel data from 2010 to 2022, and panel fixed effect model and mediation effect model. The study shows that the development of digital economy has a positive impact on the improvement of new quality productivity. Industrial structure upgrading, factor optimization and improvement of innovation level are important mechanisms by which digital economy affects new quality productivity, while there is obvious regional heterogeneity. Our findings provide some insights into the mechanisms by which the digital economy affects new quality productivity.
The Influence of Family Nurturing Environment on Children's Emotions and Behaviors
Authors: Wu Shu
Published: June 2024

This paper explores the impact of family upbringing environment on children's emotions and behaviors, and analyzes its theoretical framework and research findings. Firstly, we delve into the concept of family upbringing environment, including factors such as family atmosphere, parenting styles, and family support systems. Subsequently, we systematically review relevant literature, discussing the mechanisms through which different family upbringing environments influence children's emotions and behaviors. We find that warm and supportive family environments typically promote healthy emotional development in children and contribute to the formation of positive behavioral patterns; conversely, hostile and indifferent family environments may lead to emotional problems and behavioral abnormalities in children. Further analysis indicates that the influence of family upbringing environment on children extends beyond emotions and behaviors, profoundly impacting their psychosocial development. Finally, this paper proposes suggestions for future research, aiming to deepen understanding of the comprehensive impact of family upbringing environment on children and provide more effective intervention strategies for promoting children's healthy development.
Research on the Development of characteristic Agriculture based on Block chain Technology
Authors: Yang Miaomiao , Chu Haoshu , Xue Lingrui , Huang Mengxin , Wang Yifei , Liu Junchi , Zhang Changjiang
Published: June 2024

By analyzing the problems and market situation of the development of characteristic agriculture, this paper puts forward the research on the development of characteristic agriculture based on block chain technology. This paper points out that there are some problems in China's agricultural production, such as the lack of specialization and scale. In order to solve these problems, this paper proposes to adjust measures to local conditions and develop characteristic agriculture according to the natural environment and development situation of different regions. In addition, this paper also puts forward some specific business, including product selection, Internet to help farmers, innovative marketing methods and singing characteristic brands and so on.
Advanced Plastic Electronics in Wearable Devices
Authors: Han Xiao
Published: June 2024

The rapid evolution of wearable technology, characterized by its integration into devices such as smartwatches, medical instruments, and smart clothing, has significantly expanded the functionalities of these devices, enabling sensing, energy harvesting, luminescence, and thermoelectricity generation. Central to this technological revolution is the development of plastic electronics, which combines the electrical properties of semiconductors with the flexibility and lightness of plastics, offering unprecedented opportunities for wearable applications. This article explores the pivotal role of conductive polymers, such as polypyrrole (PPy), polyaniline (PANI), and polythiophene (PT), in advancing wearable devices, focusing on health monitoring and environmental sensing. It first discusses the fundamentals of conductive polymers, their applications in wearable health monitoring devices for tracking body signals and fluids, and their use in environmental sensing devices for detecting gases and humidity. The integration of conductive materials with wearable devices, through methods like textile structure incorporation and tattoo-based sensors, is discussed, highlighting the challenges and future expectations in the field. The paper emphasizes the need for balancing aesthetic appeal with functionality, the pursuit of miniaturization, and the importance of addressing environmental concerns associated with the sustainability of conductive polymers. Through this comprehensive review, the transformative impact of plastic electronics on wearable technology and its potential to significantly advance the sensing industry is underscored, marking a promising direction for future research and development in wearable applications.
Research on the Vector Space and Its Linearity
Authors: Guan Yifei
Published: June 2024

A vector space is an abelian group over a field. From the viewpoint of group theory, the tangent space is a theoretical concept. Tangent space is similar to a vector space, particularly in terms of linearity. From a field's perspective, a subfield is a subset of the original field that shares the same properties as the original field. Subfield is logically similar to a subspace of a vector space. A vector is an element of a vector space. Weight vectors can be used to describe motion, which can be applied in pattern recognition. A linear combination of weight vectors can describe a sequence of motions. Kernel graph theory treats a graph as an element of its theoretical structure. Kernel graph theory can also be applied in pattern recognition. So, basically, this article presents a perspective on applying vector space in pattern recognition. The inherent logic of vector space can be applied to both motion synthesis and graph pattern recognition. The linearity of the vector space is the main focus of this article.
Research on Manufacturing Industry and Key Core Technology Breakthroughs
Authors: Tang Suchen , Li Yihao , Han Mengting
Published: June 2024

This project mainly studies how China's manufacturing industry can effectively coordinate with government, industry, academia, and research in the context of the traditional global trade system, in order to achieve breakthroughs in key core technologies and modernization of the supply chain. Focusing on the collaborative efficiency of manufacturing enterprises among multiple entities including government, industry, and enterprises, as well as the impact of various capabilities such as industrial agglomeration, capital investment, and institutional construction on key core technology breakthroughs. Secondly, further analyze the current innovation situation in China, taking into account the impact of the innovation environment on achieving innovation breakthroughs in the manufacturing and related industries. Furthermore, based on the relevant cases of key core technology innovation breakthroughs achieved by excellent enterprises in China and existing experience and theories, analyze and summarize new ideas. Finally, summarize the relationship between government, industry, academia, research, and enterprises in achieving key core breakthrough capabilities, as well as the mechanism of synergistic effects among various entities, and propose relevant suggestions based on the results.
Research on a Simulation and Prediction Method of Traffic Flow Information Based on PINN
Authors: Niu Muyao
Published: June 2024

Traffic flow prediction can help intelligent transportation effectively be carried out. This paper employs the Physics-Informed Neural Network (PINN) as a deep learning method and partial differential equation (PDE) multivariable methods to approximate solutions for the Lighthill-Whitham-Richards (LWR) traffic flow equation system. The relationship between traffic flow density function and time/displacement is obtained by setting different function conditions and initial boundary constraints. Furthermore, a series of three-dimensional graphics are generated during the research process through dynamic comparisons and evaluations of independent variables to intuitively display and analyze traffic flow trends and gradients. Additionally, before the commencement of the study, the authors propose specific initial condition combinations corresponding to real-world application scenarios to enhance the practicality of the research. Moreover, through the interpretation and reflection on the obtained images, the study identifies inconsistencies between actual situations and predictions, leading to necessary adjustments. Furthermore, the research explores the compatibility of the u(x) function and hard constraint conditions in different scenarios, aiming to accurately predict traffic information and ultimately enhance the utilization of traffic resources. By leveraging PINN and PDE technologies, this study contributes to advancing traffic flow analysis and optimization, potentially influencing urban planning and traffic management strategies positively.
Challenges and Opportunities for Journalism and Communication Education in the Context of Globalisation
Authors: Hao Yun , Lin Yuxin , Jin Yumeng
Published: June 2024

In the context of globalisation, journalism and communication education is faced with the challenges of technological advancement, cultural diversity, ethics and education systems, which require journalism education to continuously adapt and innovate in order to train journalism practitioners who are able to work effectively in a complex and volatile global environment, and at the same time globalisation has brought unprecedented opportunities for journalism and communication education, including international cooperation, technological innovation, At the same time, globalisation has also brought unprecedented opportunities for journalism and communication education, including international cooperation, technological innovation, cultural exchange and the enhancement of ethical standards. By seizing these opportunities, the quality and impact of journalism and communication education can be improved, and students can be provided with broader perspectives and richer learning resources.
Software Defect Prediction and Automatic Repair Based on Machine Learning
Authors: Tang Kung , Zhang Yutang , Xia Shengkai
Published: June 2024

Software defects can have a significant impact on quality, reliability, and development costs if not addressed properly. With the increasing complexity of modern software, traditional testing methods struggle to keep up. Machine learning and deep learning have emerged as promising new approaches for software defect prediction (SDP) and automatic repair. These approaches leverage historical data to identify patterns associated with defects. Deep learning models can automatically learn complex feature representations from raw code. However, imbalanced defect data can bias models, necessitating techniques such as data augmentation or cost-sensitive learning. Memory leaks are a common defect that can gradually deplete resources if left unrepaired. Long short-term memory (LSTM) networks are well-suited for sequential code analysis and can exploit long-term dependencies to learn complex patterns and identify leak scenarios. This research aims to advance SDP and repair through machine learning techniques.
Research on Innovative Paths of Art Education based on Virtual Reality Technology
Authors: Zeng Qingliang
Published: June 2024

With the continuous advancement of science and technology, virtual reality technology has gradually been integrated into the field of art education, injecting new vitality into traditional teaching methods. This paper explores the current application status of virtual reality technology in art education and analyzes its innovation path and future development direction. The study found that virtual reality technology has significantly improved the effect of art education by building an immersive learning environment, enhancing interactive teaching, and assisting distance education. At the same time, innovative paths such as integrating virtual reality technology into the traditional art education model, strengthening interdisciplinary cooperation and innovation, and meeting students' personalized needs are proposed to promote the reform and development of art education. Virtual reality technology still faces challenges in art education, such as technical costs, equipment penetration rate, and innovation in teaching content and methods.
A Comparative Analysis of Human Translation and Machine Translation in Diplomatic Languages under the Theory of Functional Equivalence: A Case Study of the US-China High-Level Strategic Dialogue in 2021
Authors: Jiang Xiaoyang
Published: June 2024

This paper presents a comparative analysis of human and machine translations of Yang Jiechi's 16-minute speech during the 2021 China-U.S. High-Level Strategic Dialogue. Guided by the functional equivalence theory, this study examines the lexical and discourse choices of the human translator, Zhang Jing, against three different machine translations. The analysis focuses on the differences in translation regarding political sensitivity, cultural and emotional undertones, and the irreplaceable role of human translators in political language translation. The paper aims to demonstrate how effective human translation contributes to improving China-U.S. relations and enhancing China's international influence.
The Impact of Fishing Ban Policy on Marine Ecological Environment
Authors: Zhao Hang
Published: June 2024

This study aims to explore the impact of implementing fishing moratorium policies on the marine ecological environment in the Bohai Sea region. The marine environment in this area has been long degraded, primarily due to excessive fishing and pollution. This study focuses on the before and after effects of the fishing moratorium policy on the marine ecological environment. Research methods include literature review and data analysis, analyzing the marine environmental conditions in the region prior to the implementation of the fishing moratorium policy. The results show that implementing the fishing moratorium policy can effectively restore the marine ecological environment, enhance species diversity, and stabilize the structure of marine biological communities. Additionally, the fishing moratorium policy provides guarantee for the sustainable utilization of fishery resources. However, there are still some issues in the implementation process of the fishing moratorium policy, such as reduction in fishermen's income and decline in fishery output. Future research needs to further explore how to optimize the fishing moratorium policy and balance marine ecological protection with the economic interests of fishermen. In conclusion, the impact of implementing fishing moratorium policies in the Bohai Sea region on the marine ecological environment is significant but still requires further improvement and optimization.
Design of a Neural Network Model for Point-Defect Microcavities in Two-Dimensional Silicon-Based Dielectric Column Photonic Crystals
Authors: Zeng Hanyue
Published: June 2024

Currently, circuits are becoming more and more highly integrated, but current electronic chip technology has difficulty in meeting the requirements for increased data transmission speed and capacity because of its characteristics of increased energy loss due to interactions between electronic components. In contrast, photonic technology is a promising solution due to its characteristics of high speed, wide bandwidth, and low interaction. Photonic crystals are materials with an artificial periodic dielectric structure, with photonic bandgap and localization properties that are critical to their performance. Photonic crystals, which use photons as an information transfer medium, allow flexible control of photon propagation, just as electrons are controlled in semiconductors, and the study of multifunctional photonic crystals is important for the construction of integrated optical circuits. This paper proposes a neural network-based model to analyze and predict the optical properties of point defect microcavities in 2D silicon-based dielectric column photonic crystals. By modeling the complex relationship between the structural parameters of the photonic crystal and its optical response, a theoretical approach for the design of 2D silicon dielectric column photonic crystals can be provided.
Digital Economy and Urban Green Innovation: Empirical Evidence from Chinese Prefecture-Level Cities
Authors: Fu Yuran
Published: June 2024

Fully utilizing the ecological advantages of digital economy is of great significance in promoting urban green innovation. This paper discusses the impact of digital economy on urban green innovation based on a two-way fixed-effects model with panel data of 282 Chinese prefecture-level cities from 2011 to 2021. The findings show that digital economy can significantly promote urban green innovation and pass a series of robustness tests such as substitution variables, panel quantile model, and instrumental variables. The heterogeneity test shows that eastern cities and southern cities are more capable of promoting urban green innovation by the digital economy. This paper provides research support for the theory of digital economy in green development and the practice of urban development transformation.
The Coordinated Development of Digital Inclusive Finance and the Real Economy
Authors: Yin Xueni
Published: June 2024

Through the use of modern information technology for digital inclusive financial services, its significance lies in promoting financial inclusiveness, lowering the threshold of financial services, promoting economic development, improving the efficiency of financial services, and supporting social equity and sustainable development. These effects make digital financial inclusiveness an important force driving social progress and economic development.
Strength Optimisation and Static Performance Analysis of Arch Ribs of Steel-tube Concrete Arch Bridge
Authors: Yang Qihao , Liu Shuping
Published: June 2024

By means of finite element simulation, the axial compressive stiffness of different steel-tube concrete short columns was imported into the finite element model, and the effects of adopting new steel-tube concrete arch ribs on the mechanical properties of the key components of steel-tube concrete arch bridges, such as internal forces and displacements, were analyzed. The results show that: with the increase of the axial compressive stiffness of the arch rib chord, under different load combinations, the vertical displacement of the arch rib chord will increase, and the structure will be lifted up, with a maximum of 31.85%; the vertical displacement of the deck slab will also increase, with a maximum increase of 6.8%, which is smaller than the vertical displacement of the arch rib chord; the absolute value of the downward and transverse displacements of the arch rib chord will be reduced, with a maximum reduction of 7.1% respectively. The absolute values of the transverse and crossover displacements of the arch rib chord tube will be reduced, with the maximum reduction of 7.1% and 6.8%, respectively. In the project of arch bridge, the deflection and deformation of the arch rib, deck plate and other components of the more stringent restrictions, especially the vertical displacement, it is recommended to use the higher axial compressive stiffness of the steel pipe concrete arch rib.
Research on Innovative Paths of Brand Marketing in the New Consumption Era from the Perspective of Brand Touchpoints
Authors: Lan Ruohan
Published: June 2024

The purpose of this paper is to explore the innovative path of brand marketing in the new consumption era, and to analyze and look forward to its future development trend. Firstly, through literature review, this paper summarizes the characteristics and trends of the new consumption era, the concept and significance of brand touch points, and the challenges and opportunities faced by brand marketing in this context. Secondly, the paper classifies and characterizes brand touch points, and focuses on the analysis of consumers' brand touch preferences and their influence on consumer decision making in the new consumption era. Then, the innovation path in brand marketing is discussed, including innovation strategies based on digital technology, social media, cross-border cooperation and user generated content. Finally, combining the influence of intelligent technology, consumer behavior change and new technology and new media on brand touch points, the paper makes an in-depth analysis of the future development trend of brand marketing in the new consumption era, and puts forward corresponding conclusions and suggestions. The purpose of this study is to provide effective guidance for brand marketers to meet the challenges of the new consumption era and achieve sustained brand growth and development.
Research on Vegetable Replenishment and Pricing Optimization Decision Based on SARIMA Model and Regression Analysis
Authors: Zeng Peixu
Published: June 2024

In the context of fresh supermarkets, which are confronted with the challenges of short shelf life and susceptibility to deterioration of vegetable products, these establishments require daily replenishment and careful pricing. To develop more rational pricing strategies, this study starts by using regression analysis to create a linear regression equation that correlates total sales volume with cost-plus pricing. Through a rigorous statistical analysis, a regression equation with heightened reliability is derived to better forecast the relationship between total sales volume and cost-plus pricing. Subsequently, a Seasonal Autoregressive Integrated Moving Average (SARIMA) model is implemented. Drawing on historical sales data, the study forecasts the daily replenishment quantities and pricing strategies for various categories of vegetables in the upcoming week.
Research on the Method of Identifying the Collapsed Angle Surface of Fine Punching Small Gear
Authors: Tang Lingzhi , Chen Yitao , Song Zhifeng , Cai Zhen
Published: June 2024

Aiming at the requirement of automatic assembly of automobile rear wiper for automatic identification of the collapsed corner surface of finely-punched pinion, this paper proposes a method based on the mean value of the area of multi-toothed region of finely-punched pinion as the characteristic parameter, which can better identify the collapsed corner surface. Firstly, the industrial camera is used to obtain the pinion image, and the Halcon operator is used to fit the circle in the pre-segmented region to obtain the pinion circle position parameter, and the parameter is used as the reference to accurately segment the toothed annulus ROI, and then carry out the dynamic thresholding of the region, merging the regions, shape convex package transformation, and the conditional filtering to obtain the multiple toothed regions, and then rank the toothed regions, and the maximum top three toothed regions area mean value is the feature parameter to achieve the fine blanking pinion surface automatic identification of the collapsed corner surface. The mean value of the area of the first three tooth-shaped areas is used as the characteristic parameter to achieve the identification of the collapsed angle surface of the fine blanking pinion gear. The application on the assembly line shows that the recognition accuracy of this method reaches 99.9%, with good robustness and stable operation, which meets the production requirements, and also provides a method for the recognition of collapsed corner surfaces of other fine blanking parts.
A Study of Replenishment And Pricing Strategies For Vegetable Commodities Based On Multiple Linear Regression
Authors: Luo Chujun , Min Hongtao , Hu Xiaohan , Wu Yining
Published: June 2024

Vegetables, which can provide the human body with rich nutrients such as vitamins, minerals and dietary fiber, are indispensable necessities in people's daily life. Therefore, on the one hand, in order to ensure the quality of vegetables to provide fresh vegetables, superstores need to replenish goods in a timely manner; on the other hand, in order to improve the revenue, superstores need to reasonable pricing. This paper takes 251 kinds of vegetables sold in fresh food superstores as the research object, firstly, using Pearson's correlation coefficient to explore the correlation between the sales volume of vegetable single product and category, and obtains that the strongest correlation in vegetable category is cauliflower and edible mushrooms, with a correlation coefficient of -0.9989, and that the strongest correlation in vegetable single product is Hericium erinaceus and fresh zongzi leaves, with a correlation coefficient of 0.9973. Then, this paper set up a multivariate linear regression model to solve the problem for each vegetable. Linear regression model to solve the relationship between total sales volume and cost-plus pricing for each category. Finally, for the total daily replenishment, through the total daily replenishment = total predicted sales / (1 - wastage rate) processing to get the total daily replenishment of vegetables for 7 days, to obtain the cost matrix and markup rate matrix, and then get the pricing of vegetables for 7 days. For example, the replenishment of cauliflower on Monday should be 268.7238 kg, and the pricing is $2.5179/kg.
Preface: 2nd International Conference on Portfolios, Economy and Enterprise Reform (PEER 2024)
Authors: Priestley Cornelius , Wang Jie
Published: June 2024

This book collects papers selected from the 2024 2nd International Conference on Portfolios, Economy and Enterprise Reform (PEER 2024), which was successfully held in Kobe, Japan from March 16-17, 2024.
PEER 2024 welcomes researchers, experts, economist, and industry professionals to an open forum where advances in the fields of portfolios, risk management, financial security, regional economic, marketing, business management, and enterprise reform can be shared and examined. The conference is an ideal platform for keeping up with advances and changes to a consistently morphing field. Leading researchers and industry experts from around the globe will be presenting the latest studies through papers and oral presentations.
PEER 2024 invites scholars and researchers all over the world to discuss the state-of-the-art and the development of the financial technology. The conference set up a variety of activities such as general report, session report, poster exchanging, technical exhibition and technological innovation contest. This conference provided delegates with a good opportunity to exchange new ideas, establish research and/or business contacts, and establish potential partnerships for global partnerships.
With best regards,
Organizing Committees of PEER
Kobe, Japan
Research on the Application of Linear Programming Model Based on Ant Colony Algorithm in Decision Making of Superstores
Authors: Feng Sibo , Gao Yuxiang , Yang Yuxin
Published: June 2024

In fresh food superstores, the freshness period of general vegetables is relatively short, and the quality deteriorates with the increase of the sales time.In additional,most of the varieties can not be re-sold on the next day if they are not sold on the same day. In this paper, under the premise of ensuring the maximization of supermarket revenue,the corresponding linear programming model is established, while introducting the heuristic algorithms ant colony algorithm to provide decision-making recommendations for supermarkets to replenish vegetables and pricing problems.
Self-Efficacy and Job Satisfaction of Primary School Teachers
Authors: Zhang Danfeng , Reynold P. Varela
Published: June 2024

This study presents an in-depth investigation into the predictors of job satisfaction among primary school teachers in China. The study is grounded in the theoretical framework of self-efficacy and job satisfaction theories, providing a comprehensive understanding of the factors influencing job satisfaction in the unique socio-cultural context of China. The research employs a descriptive-comparative correlational research design, utilizing a comprehensive questionnaire survey to collect data from a representative sample of primary school teachers in Wuhan, China. The questionnaire covers demographic information, self-efficacy in student engagement, instructional strategies, classroom management, and job satisfaction levels. Based on these findings, the study concludes that enhancing teacher self-efficacy, providing a supportive work environment, and improving classroom management practices are key to improving job satisfaction among primary school teachers in China.
The Impact of Artificial Intelligence on the Technological Complexity of China's Manufacturing Exports
Authors: Zeng Sini , Wang Meihua
Published: June 2024

Artificial Intelligence(AI) has become an important means to enhance the technological complexity of manufacturing exports. Based on the theories of comparative advantage, technological innovation, new trade theory, and skill-biased technological progress, this study empirically examines the relationship between AI and the technological complexity of manufacturing exports in 30 provinces(excluding Tibet) from 2012 to 2021. The results indicate that AI has significant positive impact on the technological complexity of manufacturing exports, which is robustly validated, especially in the eastern and central regions. Based on these findings, the paper suggests targeted recommendations.
Review and future prospect of enterprise strategic change from the cognitive perspective
Authors: Bi Yu
Published: June 2024

Strategic change is an important means to deal with the rapidly changing market environment and build a sustainable competitive advantage. In the process of shaping and realization of enterprise strategic change, cognition is the key pre-variable factor, which has the different influence mechanisms and effects. Currently, some progress has been made in the strategic change research from a cognitive perspective, but a systematic review on the topic is missing. By dividing the decision-making subjects in the context of strategic change into two levels: team and individual, this paper systematically combs and reviews the existing studies, and constructs the existing research framework of strategic change from the cognitive perspective. This paper finds that most of the existing studies focus on the issue of "how to promote strategic change", ignoring the importance of the way of action subject processing and processing information in the context. Therefore, this paper proposes that in the future, we should pay attention to the excavation of the unique situation of strategic change, deepen the understanding of different levels of cognitive representation, and build the cognitive basis of strategic change from the perspective of system dynamics.
Exploring the Infiltration Pathways and Methods of American Educational Philosophy in English Teaching for Disabled College Students
Authors: Li Zhenhao , Cui Yifan
Published: June 2024

This paper provides an in-depth analysis of the current status of English teaching for disabled college students through methods such as survey questionnaires and theoretical induction. It reveals the challenges and teaching needs in English learning for disabled college students, emphasizing the necessity of integrating American educational philosophy into English teaching. Drawing upon universal aesthetic theories, this study summarizes methods for applying aesthetic education in English teaching tailored to disabled college students. These methods aim to enhance students' perception of English language beauty, improve teaching efficiency, and cultivate their ability to appreciate, express, and create beauty.
Insurance Risk Assessment Model based on Game Theory-Combined Weighting-TOPSIS
Authors: Xie Haoran , Hu Jiabei
Published: June 2024

With the increasingly severe climate change and intensifying severity of weather events and natural disasters, ensuring the sustainable development of the property insurance industry becomes particularly important. The policy distribution of insurance companies has become a key issue. This paper proposes a novel Game Theory-Combined Weighting-TOPSIS model, which weights indicators using The Entropy Weight Method and the CRITIC method, combines the weights of the former two through game-based combined weighting, and leverages the advantages of the TOPSIS method in handling multi-criteria decision-making problems. Among them, taking China as an example and applying the model, it is found that southeastern China and coastal areas have higher scores and are suitable for insurance. Through this approach, we can scientifically and reasonably assess the risk levels in different regions, provide decision support for property insurance companies to optimize policy distribution, and promote the healthy development of the insurance industry.
Development Prospects for Nuclear and Solar Energy in The U.S.
Authors: Song Zeqin
Published: June 2024

Global-wise, Fossil fuels dominate the global energy mix currently with significant drawbacks, for example, increasing prices, harmful byproducts emissions, etc. Realizing this, the U.S. stepped their first step out towards a carbon neutrality world by introducing their ambitious plan of net-zero emissions by 2050. Since then, the development of Renewable Energy has been strongly promoted in the U.S. Two most potential energies, solar and nuclear energy, are aggressively evolving and spreading across the U.S. Solar energy favors the society's needs by its lower cost and higher efficiency while the nuclear energy leads the RE (renewable energy) mix according to its huge potential. This article will introduce you to all the significant knowledge that you need to know in order to compare them and get conclusions. It’s short but precise, advantages and disadvantages of each will be shown objectively and some subjective comparison in the end will enhance your thinking and help your understanding.
Selection of Cathode Materials for Lithium-Ion Batteries at Different Temperatures
Authors: Zhang Pengcheng
Published: June 2024

With the widespread application of lithium-ion batteries in more and more fields, selecting appropriate electrode materials in different environments has become a key issue in the research of lithium-ion batteries. In recent years, with the rapid development of science and technology, lithium-ion batteries have become a key point of development, and their applications in special fields have put forward higher requirements for the performance of lithium-ion battery cathode materials. At present, electrode materials are widely used in fields such as instrument testing equipment, vehicle-mounted equipment batteries, and vehicle-mounted canopy batteries. In these cases, precise control of the operation temperature of electrode materials is required, and it is necessary to ensure that the electrode materials used still have good performance at high or low temperatures. Therefore, it is crucial to study the selection of lithium-ion cathode materials at different temperatures. This article first introduces common positive electrode materials and the working principles of lithium-ion batteries, elaborates on the selection of lithium-ion positive electrode materials at different temperatures and the modification treatment of some positive electrode materials to adapt to corresponding temperature conditions, and discusses the reasons, principle, and significance.
Study of Jane Eyre’s Rebellion Spirit from the Feminist Perspective
Authors: Zhao Jiayu , Jian Chengyao
Published: June 2024

The novel Jane Eyre is a monumental work penned by the esteemed British female author, Charlotte Bronte. The present analysis delves into Jane Eyre’s indomitable spirit of rebellion and the underlying factors that fuel her defiance, adopting a feminist lens. The protagonist, Jane Eyre, owing to her orphaned status, education-induced intellectual awakening, and religious skepticism, and moral autonomy, experiences a burgeoning, stirring, and eruptive feminist consciousness. Thus, throughout her life’s journey, she persistently combats various social injustices, strives for her economic self-sufficiency and marital independence.
Scenarios and Promotion Ideas of Intelligent Sports Application in China
Authors: Sun Cheng
Published: June 2024

Intelligent sports is not only a tool support of sports superstructure, but also a core engine to drive the overall development of sports. Based on the interpretation of the connotation of intelligent sports, this paper analyzes the scene patterns and promotion ideas of intelligent sports application in China by means of literature and logical analysis. The research holds that the application scenarios of intelligent sports in China are intelligent sports training and competition in competitive sports, intelligent sports teaching and skill mastery in school sports and intelligent sports exercise in mass sports. The promotion ideas are as follows: on the cognitive level, people-oriented, physical exercise as the basic means and physical and mental health as the center, premise and mission of intelligent sports application respectively; On the action level, cultivating smart sports communities and villages, developing smart sports urban and rural areas and building smart sports ecosystem are regarded as the basic unit, powerful driving force and strategic goal of smart sports application respectively.
A Study of Huawei’s 5G Technology Innovation Ecosystem Based on Actor-Network Theory
Authors: Zhou Haiyang , Guan Xin
Published: June 2024

The 5G technology enables a more comprehensive satisfaction of individuals' varied requirements by capitalizing on its improved information transmission efficiency and stronger signals. Investigating the innovative development of 5G technology contributes to enhancing network security and stability, thereby furthering enterprise digital transformation. This paper analyzes all 55 texts from the “News” section of Huawei’s official website’s 5G topic, which contain descriptions of Huawei's 5G innovation ecosystem. Building upon the actor-network theory, the study employs text coding to discern and classify actors and other elements that participate in the enterprise innovation ecosystem, and describes the collaborative network construction process with Huawei as the central actor. The study finds that heterogeneity in actor network theory plays an important role in the study of corporate innovation ecosystems. The four links of "Problematisation", "Interesssement", "Enrollment" and "Mobilization" clearly describe the process of constructing a network of actors in STI activities. The actor network of Huawei's 5G technology innovation ecosystem is characterised by continuous openness and stable operation. Facilitating the digital transformation of the industry is the main reason for other actors to join Huawei's 5G technology innovation ecosystem actor network.
The Impact of the Different Types of Dance Cheerleading on the Physical Aspect, Adaptive Ability and Level of Resilience of Middle School Students
Authors: Chen Juanjuan
Published: June 2024

The purpose of this study is to compare the effects of different types of dance cheerleading on the physical fitness and health level of junior high school students in Kaili City, and to explore the relationship between its effects on physical fitness, adaptive ability and level of resistance to frustration. The subjects of the investigation included students in the Street Dance Cheerleading group, Jazz Cheerleading group and Flower Ball Cheerleading group, participating in the "Physical Education and Health" course. Through the research design of description-comparison-correlation, the data were collected by questionnaire method and analyzed using mathematical statistics software. The results showed that different types of cheerleading had a significant effect on secondary school students' physical ability, adaptability and level of resistance to frustration. It is recommended that schools and educational organizations should strengthen the promotion of cheerleading activities while paying attention to the differences in gender and types of cheerleading in order to improve the overall physical fitness of students and develop their teamwork spirit.
Research on the Teaching Mode of Innovation and Entrepreneurship Education Courses in Colleges and Universities based on Virtual Teaching Research Section
Authors: Peng Haibin , Lyu Yimiao
Published: June 2024

This paper takes four colleges and universities in Heilongjiang Province, the teaching mode of innovation and entrepreneurship courses as the object of study,and uses the virtual teaching and research office as a platform to explore how to effectively integrate the links between the employment guidance courses,innovation and entrepreneurship education courses and professional education courses to improve the quality of talent cultivation in the context of the new era. With the help of modern information technology, it breaks the limitations of space,time and geography,and realizes the efficient sharing and optimal allocation of teaching resources.
A Forecast of CO2 Emissions Based on the Fuel Consumption Rating of a Particular Vehicle
Authors: Chen Zikun
Published: June 2024

The accumulation of carbon dioxide will not only cause global warming but also cause a series of catastrophic consequences and cause irreversible damage to the earth's ecology. The prediction of carbon dioxide emissions from light-duty vehicles can provide decision-making support for consumers when purchasing cars and is beneficial to consumers in purchasing environmentally friendly cars. This paper constructs a vehicle carbon dioxide emission model based on a multiple linear regression model, using the four indicators of vehicle engine size, vehicle fuel consumption, Hwy (L/100km), and Comb (L/100km) as output variables. The quantity is the predictor variable. The correlation coefficient of this study is 0.9675. The regression equation of this linear regression model is Y=22.2344+2.7157X1+32.9843X2+26.6259X3-39.1429X4. The order of impact of the four indicators studied on carbon emissions is Comb (L/100km), vehicle fuel consumption, Hwy (L/100km), and vehicle engine size. The determination of carbon emissions of specific models of new light vehicles can refer to the multiple linear regression model proposed in this study.