bluuebunny/crossref_metadata_2025 huggingface dataset:
Challenges and Opportunities of Fintech Innovation for Traditional Financial Institutions
Authors: Chen Qingle
Published: April 2024

The rapid rise of fintech innovation has ushered in an era of change in the global financial services industry, presenting traditional financial institutions with a complex mix of challenges and opportunities. The dynamic interaction between fintech advances and the traditional banking system marks a pivotal moment in the financial industry, where the convergence of digital technologies with the financial services structure is reshaping the traditional banking business model. FinTech innovations, characterised by their flexibility, innovation and customer-centric solutions, are challenging the established models of traditional banks, forcing them to rethink their strategies, operations and services. These challenges are multifaceted, including the need for digital transformation, increasing competitive pressures from fintech startups, evolving consumer expectations for instant and seamless financial services, and the need to find a balance between innovation and financial stability and consumer protection in a changing regulatory environment. At the same time, fintech innovations offer unprecedented opportunities for traditional financial institutions to redefine their roles in the financial ecosystem, improve operational efficiency, and expand the scope of their services. By adopting blockchain technology to enable secure transactions, artificial intelligence technology to provide personalised customer service, and data analytics to improve risk management, traditional banks can open up new avenues for growth and innovation. In addition, fintech can enable traditional banks to offer convenient and affordable financial products to underserved or unbanked populations, thereby promoting financial inclusion. The intricate relationship between fintech innovation and traditional financial institutions embodies a dual narrative of disruption and convergence, highlighting the need for traditional banks to take a strategic and adaptive approach to navigating the fintech revolution. As traditional financial institutions endeavour to address the challenges posed by fintech and embrace the opportunities it presents, they will play a crucial role in shaping a more inclusive, efficient and resilient financial system of the future. The need for a nuanced understanding of technological, regulatory and market dynamics in the evolution of fintech underscores the importance of innovation, collaboration and customer-centricity in the development of the financial services industry.
"View Wisps of Smoke Rising from The Stove Again"
Authors: Fu Jiao , Zhong Jian , Deng Keying , Wu Yuqian , Yang Xia
Published: April 2024

Chinese calligraphy is the carrier of cultural heritage and has profound cultural connotations. The origin of Chinese calligraphy can be traced back to the ancient oracle bone inscriptions and Chinese bronze inscriptions period, which has a history of several thousand years. It is a key element of Chinese culture and an important means to inherit China's excellent traditional culture in the new era. Under the impact of information technology and “fast food ” culture, various computer fonts and personalized fonts have emerged, and people tend to use some "odd" fonts, and their cultural awareness is gradually weakened. In the new era, Chinese calligraphy culture is full of vigor, which requires us to deeply understand the essence of calligraphy culture, respect history and culture better, enhance cultural identity, and firmly believe in culture. We should adapt to the development of science and technology, using artificial intelligence technology to add new energy to traditional culture, inherit the historical context better, create an atmosphere where everyone strives to be a cultural inheritor, and carry forward the spirit of writing.
Research on the Influence of Artificial Intelligence on the Employment and Its Countermeasures
Authors: Liu Haibo
Published: April 2024

Artificial intelligence is the main front to build new quality productive forces and is leading the fourth revolution of science and technology of human beings. The wide application of artificial intelligence technology has triggered people's concerns about unemployment. However, we do not have to worry too much. Artificial intelligence technology will not only replace human work, but also create more job opportunities and higher value-added work. It is imperative to conduct special research on labor force training and re-employment for industries and positions that may be replaced by artificial intelligence in the future, and take the initiative to respond in advance and take comprehensive and effective measures as soon as possible, so as to better adapt to the application and development of artificial intelligence technology.
Rainbow Capture Based on Underwater Gradient Phononic Crystals
Authors: Zhong Jialin
Published: April 2024

Waves of different frequencies are located and captured at different positions, giving rainbow capture a wide range of potential applications in filtering, buffering, energy collection, and other fields. In this paper, we design a rainbow capture structure based on gradient phonon crystals. The edge states change due to the different structural parameters. By designing a gradient structure, the sound waves of different frequencies are separated and trapped at different boundary positions to form the acoustic rainbow effect. Incident waves from different directions produce significantly distinct rainbow trapping effect. The distance sound propagates when excited from the left is increasingly further, while the distance when excited from the right is increasingly shorter. Besides, the symmetrical rainbow effect has also been demonstrated in symmetrical gradient phonon crystals. This work provides a theoretical reference for achieving diverse multiwavelength devices in acoustic systems.
Research on the Functional Mechanism of EDI, Media Attention and Enterprise Development under the Background of "Double Carbon"
Authors: Cheng Zhengqiu , Wu Qinqin , Yu Hui , Zhu Lingrui , Zhu Jiaming
Published: April 2024

Building an ecologically civilized environment, building a green financial system, and improving corporate management are of great significance to the long-term development of the capital market and the country. This article starts from the perspective of corporate environmental information disclosure, introduces media attention, and conducts an empirical study on the operating performance of China's heavily polluting enterprises. The research results show that there is a negative correlation between environmental information disclosure (EDI) and corporate operating performance. When companies conduct environmental information disclosure (EDI), it will lead to a decrease in corporate operating performance, while increased media attention will improve corporate operating performance. At the end of the article, the article summarizes the research content of this article and puts forward relevant prospects to provide relevant ideas for other scholars' follow-up research.
Optimization and Improvement of Recurrent Neural Networks in Stock Price Prediction
Authors: Xu Tianyou
Published: April 2024

Recurrent Neural Networks (RNNs) are a significant branch of deep learning, particularly suitable for handling data with temporal dependencies. In the financial domain, stock price prediction is a highly focused problem. Traditional stock price prediction methods, often based on linear models, fail to fully capture the nonlinear dynamics of stock prices. RNNs, with their memory capabilities, can capture the long-term dependencies of stock prices, hence offering great application potential in stock price prediction. However, RNNs also face challenges when processing stock price data, as stock prices are influenced by numerous factors and are highly complex and uncertain. Additionally, stock price data often contains noise and outliers, impacting the model’s predictive performance. To address these issues, incremental improvements in prediction accuracy and model generalization capabilities are achieved through optimizing the model structure and improving data preprocessing methods. As technology advances and algorithms continue to innovate, the application of RNNs in stock price prediction will become more widespread and in-depth.
Analysis of Tourism Attraction Based on SPSS: A Case Study of Tangcun Village in Xi'an
Authors: Li Qian
Published: April 2024

Although China's urbanization process continues to advance, the vast majority of the post-80s and post-90s grew up in the traditional villages, and the traditional villages still have a natural attraction for them. Even if they become a new generation of city residents, due to the hustle and bustle of the city, urban residents yearn for a peaceful and leisurely pastoral life with the beauty of nature.The current academic research on traditional villages focuses on the development of rural tourism industry under the background of rural revitalization, and the high-quality development of rural tourism industry.With the change of consumption subjects and consumption structure, this paper takes China Tangcun Chinese Agricultural Park as an example to explore the influencing factors of Tangcun tourism attraction through questionnaire survey and interview method, in order to explore the influencing factors of traditional village tourism attraction in the experience economy era, and provide strategies for the development and optimization of traditional village tourism products.
Research on the Differences Between the Willingness and Behavior of Rural Homestead Withdrawal
Authors: Zhang Shuoyuan , Feng Chengxiao
Published: April 2024

In the process of urban-rural integration in China, rural homesteads have a significant impact on farmers' basic rights and the long-term development of the national economy. Therefore, the withdrawal of rural homesteads has received high attention from government departments and grassroots farmers, and the economic value of rural homesteads is also increasing. Currently, there is no perfect legal regulation for the withdrawal of the right to use rural homestead, and the pilot work in some areas cannot effectively protect the rights and interests of farmers. Therefore, while increasing the research efforts on relevant topics, Chinese scholars pay more attention to improving the withdrawal effect by combining specific problems. This paper, based on understanding the basic concept of homestead withdrawal, mainly explores the research process of homesteads and the differences in willingness and behavior of withdrawal, analyzes the main models and future prospects of homestead withdrawal and reuse, in order to fully protect the basic rights of farmers and realize the economic value of homesteads.
Research on the Impact of Internet Sales on the Rate Determination of Commercial Insurance in China
Authors: Liu Weisen
Published: April 2024

In the dynamic landscape of the Chinese commercial insurance market, the escalating prevalence of Internet sales has triggered a comprehensive exploration into the intricacies of premium determination. This study delves into the multifaceted influence of Internet sales on commercial insurance rates, employing a blend of theoretical analysis and empirical investigation. The research unveils substantial effects on market competition, consumer behavior, and strategic decisions of insurers. The insights derived not only contribute to the refinement of regulatory frameworks but also offer valuable guidance to insurers, empowering consumers in navigating the evolving complexities of commercial insurance in China.
Decision Considerations in Labor Market Flexibility under the Phenomenon of “Valley Circle”
Authors: Jiang Youfei
Published: April 2024

The “Valley Circle” refers to a group of enthusiasts passionate about derivative products related to characters from fiction, animation, and games. This phenomenon has, to some extent, reshaped the consumer market and also impacted the labor market. Under the influence of the “Valley Circle” phenomenon, individual decision-making considerations in the labor market have become more complex. The phenomenon has enhanced labor market flexibility. With the development of internet technology, many professions related to “Valley Circle” have emerged, such as character designers, illustrators, and game developers. These professions often emphasize individual creativity and skills rather than geographical location, offering more opportunities for remote work. This flexibility not only helps individuals better balance work and life but also provides a wider geographical choice when choosing a job. Therefore, in decision-making considerations, individuals should fully assess their interests, skills, and long-term career planning, weighing the pros and cons comprehensively to make the most suitable choice for themselves.
Research on High Efficiency Charging and Mechanized Sealing Technology of Deep Hole Presplitting Blasting in Roof
Authors: Rong Hao , Li Le
Published: April 2024

In order to solve the problem of long sealing time and poor effect in the deep-hole presplitter blasting technology, the inorganic two-component blasting sealing material with a fixed water-cement ratio of 0.8:1, with "cement, gypsum and lime" as the main, "quick-setting agent, water-reducing agent and early-strength agent" as the auxiliary, and the matching double-bag sealing device were developed, and a set of rapid sealing process suitable for deep-hole blasting was designed. The field test was carried out in 43153 multipurpose roadway of Chengzhuang Mine. The application results show that the blasting sealing material with fast setting speed and high strength can meet the needs of sealing holes, and the perforation rate is far less than 4-8% of the blasting mud sealing hole. The fast sealing process designed and developed to complete a hole sealing operation only takes 14min, which not only improves the sealing efficiency, but also reduces the labor intensity of workers and realizes the mechanization of the sealing operation.
Advancements in the Research of COF-Based Materials for Uranyl Enrichment
Authors: Gao Peng
Published: April 2024

As a critical fuel for nuclear power operations, uranium plays an important role in ensuring the sustainable development of nuclear energy. In China, the demand for uranium resources is expected to reach 1.0-2.0 million tons per year by 2030. Currently, the principal methods employed for the enrichment of uranyl ions include photocatalysis, electrocatalysis, and adsorption. Covalent organic frameworks (COFs) have emerged as a popular choice for uranyl ion enrichment due to their suitable pore size, substantial specific surface area, and exceptional electrical conductivity. This review primarily focuses on the evaluation and characterization methods pertaining to uranyl enrichment, as well as the utilization of COFs-based materials for uranyl enrichment.
Part-of-Speech Tagging for Traditional Chinese Medicine Clinical Pulse Feeling and Palpation Information Based on Hidden Markov Model Prompt-Tuning
Authors: Dai Linfeng
Published: April 2024

This paper proposes a Traditional Chinese Medicine Clinical Pulse Feeling and Palpation Information part-of-speech tagging method based on Hidden Markov Model Prompt-Tuning, aimed at addressing the challenges of scarce annotated samples and the issue of words with multiple parts of speech in Traditional Chinese Medicine Clinical Pulse Feeling and Palpation Information part-of-speech tagging tasks. By designing specific prompt templates, this method transforms the downstream task into a cloze task for the pretrained language model during its pretraining phase, thereby bridging the gap between pretraining and fine-tuning objectives and enhancing the knowledge representation ability of the pretrained language model for downstream tasks. This approach also integrates the part-of-speech information of adjacent words into the prompt templates and uses the Hidden Markov Model to model the dependencies between adjacent words' parts of speech, effectively improving the overall performance of the model in the Traditional Chinese Medicine Clinical Pulse Feeling and Palpation Information part-of-speech tagging task, particularly in identifying words with multiple parts of speech. Furthermore, empirical evidence demonstrates the outstanding performance of the proposed method in this part-of-speech tagging task, achieving an F1 score of up to 85.52%.
Research on the Teaching Reform of Economic Analysis Methods and Means Experimental Course from the Perspective of New Liberal Arts
Authors: Zha Huachao , Zhang Xinyue , Liu Jian
Published: April 2024

The construction of new liberal arts in China requires continuously deepening the teaching reform of economic experimental courses and giving better play to the application advantages of experimental courses. Anhui University of Finance and Economics is one of the early financial and economic universities to practice the construction of "new liberal arts". Although its experimental course teaching reform has achieved certain results, it is also faced with many difficulties. For this reason, this paper takes the teaching reform of the experimental course of the methods and means of economic analysis as an example, and makes a research on the existing problems, such as the construction of the ideological and political integration of the curriculum is not deep enough, the level of the development and utilization of the curriculum resource platform is not high, the teaching characteristics of the curriculum are not distinct enough, and the transformation level of the practical training achievements of the curriculum is low. Then it puts forward some positive countermeasures and suggestions from the aspects of improving the mechanism construction, integrating teaching resources, updating teaching methods and optimizing the assessment process.
Research on the Microbial Community Structure and Evolutionary Changes During the Industrial Fermentation Process of Cigar Tobacco Leaves
Authors: Li Zhixing
Published: April 2024

Cigar tobacco leaves host a diverse bacterial community on their surfaces, playing a vital role in the fermentation process. This study aimed to investigate and analyze the bacterial community dynamics during the artificial fermentation of cigar tobacco leaves, recognizing the advantages of artificial over natural fermentation. The research focused on elucidating the structural composition of the bacterial community on the leaves, exploring their metabolic activities, understanding how they influence the characteristics of the leaves during artificial fermentation, and identifying potential metabolic pathways. Significant shifts in the microbial community were observed post-fermentation, with a marked increase in diversity. Notably, genera like Oceanobacillus, Terribacillus, and Corynebacterium exhibited substantial growth during the mid-phase of fermentation, suggesting their importance in the process. The insights derived from this study shed light on the artificial fermentation process of cigar tobacco leaves, offering opportunities for enhancing safety and quality.
Effect of Liquid Plastic Steel and Epoxy Resin on Pipes
Authors: Xu Chenkang , Li Xiaohong
Published: April 2024

Using different materials to repair mechanical parts in cold state (non-fire repair), the mechanical properties of the repaired materials have different effects. In order to explore the advantages and disadvantages of liquid plastic steel repair agent and epoxy resin repair agent, the repair effects of two cold repair materials were compared. The mechanical properties of L245 pipeline steel before and after repair, such as tensile properties, shear properties and bonding properties, were tested with small size samples. The test results show that the average tensile strength of the reinforced tensile sample of plastic steel is 2MPa higher than that of the ordinary epoxy tree, and the tensile strength is increased by 0.4%; the average yield strength of the reinforced tensile sample of plastic steel is 5Mpa higher than that of the ordinary epoxy tree, and the yield strength is increased by 1.5%. The shear strength of the reinforced tensile specimen of plastic steel is 1.67MPa higher than that of the ordinary epoxy tree reinforced tensile specimen, and the shear strength is increased by 22%.
Research on Real Estate Batch Evaluation Based on Spatial Econometric Model
Authors: Yang Yi , Huang Songmei
Published: April 2024

This article studies the real estate batch evaluation model in Yuzhong District, Chongqing City. By analyzing 350 real second-hand housing listing data in October 2023 as sample data, a feature price model is established and a spatial econometric model is constructed based on the regression results to seek the most suitable model for batch evaluation of second-hand housing in Yuzhong District, Chongqing City. The results show that there is a significant spatial correlation between sample data, and both the spatial error model and spatial lag model in the spatial econometric model have improved the evaluation results of the traditional feature price model. However, the spatial lag model has the best performance in all indicators. Applying the spatial econometric model to real estate batch evaluation can improve the accuracy and fairness of the evaluation results.
Research on the Integration of Xiangxi Miao Butterfly Patterns and Modern Cultural and Creative Designs
Authors: Min Anqi
Published: April 2024

The Miao people's traditional dress designs in western Hunan strongly reflect their distinct cultural qualities as well as the local community's lifestyle. These patterns are both aesthetically pleasing and culturally significant. As the cultural and creative industries have grown, an increasing number of designers have begun to incorporate these historic motifs into modern cultural and creative items in order to promote and conserve national culture. This research will look at the butterfly pattern of Xiangxi Miao, a representative ornamental feature, and how it might be used to contemporary cultural and creative design. The essay will go into detail on how traditional themes can be blended with modern design aspects, and how this fusion improves the cultural worth and market attractiveness of the items.
Characterization of Surface Pressure Accuracy and Spatial and Temporal Variations of The GPT3 And HGPT2 Models in The Chinese Region
Authors: Li Sen , Wang Kai , Ban Haofei , Xue Chen , Guo Yongxiao
Published: April 2024

The accuracy of surface pressure is crucial for obtaining high-precision zenith hydrostatic delay(ZHD). In order to verify the accuracy of the Global Pressure and Temperature model (HGPT2 ) and the Global Pressure and Temperature (GPT3) in obtaining ground air pressure in China, as well as the spatiotemporal variation characteristics of the errors of the two models, this paper uses the ERA5 reanalysis dataset and combines it with actual meteorological data from weather stations to evaluate their performance. The results show that the results show that the HGPT2 model has better accuracy in simulating atmospheric pressure in China than the GPT3 model, with atmospheric pressure bias of -0.54 hPa and -2.09 hPa, and RMS of 4.42 hPa and 4.91 hPa, respectively. This article analyzes the spatial and temporal characteristics of model errors based on China's climate types. The performance of the GPT3 and HGPT2 models varies in different regions, and their accuracy in simulating atmospheric pressure changes is poorer in northern and northwestern China.
Preparation and Properties of Spinel LiMn1.90 Ni0.05 Cu0.05 O4
Authors: Li Yonggen , Liu Yin
Published: April 2024

Spinel LiMn2O4 and LiMn1.90Ni0.05 Cu0.05O4 cathode materials were synthesized by a simple solution combustion method. The structure, morphology and properties of the two samples were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), battery test system and electrochemical workstation. The results show that the two samples are spinel lithium manganate structure, which can be indexed as Fd3m space group. Ni Cu co doping effectively reduces the particle size and agglomeration, improves the crystallinity of the materials, and makes LiMn1.90Ni 0.05 Cu0.05O4 samples show good crystal structure stability and magnification properties. The capacity retention rates of 64.53%,79.52%and 69.47%were obtained after 1000 cycles at current densities of 1 C,5 C and 10 C,respectively, which were higher than 43.75%,55.74%and 44.38%of the corresponding undoped LiMn2O4 samples.
Anti-heroism in Nineteen Eighty-Four
Authors: Zhang Yuting
Published: April 2024

George Orwell’s dystopian masterpiece, Nineteen Eighty-Four is one of the most pervasively influential books of the twentieth century. Many previous researchers have explored its profound themes and cultural implications. Starting from a different perspective, this thesis approaches the story in the light of anti-heroism. By analyzing the image of Big Brother and the protagonist, the anti-heroic spirit shown in the transformations of the protagonist presents the glory of humanity under the pressure of totalitarianism. The suffering of the protagonist especially when he is under arrest shows readers how humanity will be tortured by totalitarianism in a world which is dominated by traditional heroism. Orwell expresses his comprehending of the freedom and concern for the future of mankind and gives his answer about hero and freedom after a close reading. A true hero is not the one who maintains the leadership of the party, but a man with independent thought, identifying the beauty and ugliness. And the right of freedom is the freedom of ideology on the basis of history.
Improving Business Strategies Can Increase Economic Recovery in The Later Stages of The Epidemic
Authors: Zong Wuxuan
Published: April 2024

At the beginning of 2020, the occurrence of COVID-19 had a great impact on the operation of fitness clubs. Through the analysis, this paper explores the ways for fitness clubs to resolve risks and reduce losses during the epidemic period, and puts forward suggestions for the management transformation of fitness clubs, in order to help fitness clubs turn risks into opportunities in the post-epidemic era of epidemic prevention and control, and improve their management ability and anti-risk ability.
The Dimension of Medium: The Transcendence of Technology in Digital Printmaking
Authors: Xia Yuqing
Published: April 2024

The visual presentation of digital printmaking has long appeared, and it is indeed a new technical means in the creation of printmaking. Starting from the generation of the concept of digital printmaking, we will investigate the technical view of digital printmaking in detail, and then examine the linkage between digital printmaking technology and the modern media, and ask what the digital printmaking has to do in the art context of the present time, and how this new language of printmaking can complete the transcendence of the digital technology so as to realize the intervention of the artist in the real life. How this new printmaking language can surpass the digital technology and thus conform to the trend of media communication, change the creative thinking of artists and realize the intervention in real life.
The Status Quo and Countermeasures of College Students' Academic Style Construction
Authors: Jian Rui
Published: April 2024

The academic style construction of college students is an important content of college education, which is of great significance for cultivating students' comprehensive quality and improving the quality of education. This paper analyses the problems in learning attitude, learning method, learning environment and learning habits through the investigation and research on the current situation of college students' academic style construction, and discusses the personal and environmental factors that affect college students' academic style construction. On this basis, countermeasures for the construction of college students' academic style are proposed, including measures at the school level and individual level. This study aims to provide targeted guidance and suggestions for the construction of college students' academic style, and to promote the comprehensive quality improvement of college students and the improvement of education quality.
Fatigue Driving Detection Based on Driver Facial Temporal Sequences
Authors: Qian Yonglin , Zheng Guoqiang , Xie Yifan , Lv Xiangshuai , Zhang Weizhen
Published: April 2024

Addressing the issues of low real-time performance and high false positive rates in driver fatigue detection methods based on deep learning, this paper proposes a temporal sequence Transformer-based fatigue detection method grounded in the localization of facial landmarks in drivers. Initially, the facial positions are obtained using the single-stage face detection algorithm RetinaFace. Subsequently, a lightweight GM module is designed as the principal feature extraction module for constructing a multi-scale fusion facial landmark detection network, and facial fatigue feature parameters based on temporal sequences are calculated according to the facial landmarks. Finally, a fatigue driving classification method based on temporal sequences Transformers is developed for classifying the sequences of fatigue feature parameters. Experimental results demonstrate that the inference time required for facial detection and landmark detection is merely 16.8 milliseconds, with the per-frame inference time for facial landmark detection being only 2.5 milliseconds, thus fulfilling the real-time requirements of fatigue driving detection during the feature extraction phase. A temporal sequence of fatigue feature parameters built on the NTHU-DDD dataset and the trained temporal sequence Transformer model resulted in an accuracy rate of 91.4% for the proposed method.
Research on Green Production of the Iron and Steel Industry Based on DDF-BML Model
Authors: Li Qinyu
Published: April 2024

Although the iron and steel industry serves as the pillar industry of national economic development, the negative effects of its high emission and high pollution characteristics on the environment cannot be ignored. In order to achieve the carbon peaking and carbon neutrality goals at an early time and implement five priority tasks, including cutting overcapacity, reducing excess inventory, deleveraging, lowering costs and strengthening areas of weakness, it is urgent to realize the green production of the iron and steel industry. This paper takes listed iron and steel companies from 2016 to 2019 as research samples, and applies the two-stage Malmquist index based on the directional distance function (DDF) to measure the green total factor productivity (GTFP) of iron and steel enterprises. From macro and micro perspectives, the empirical model is used to explore the main influential factors of gtfp. The empirical results show that the overall gtfp growth rate of iron and steel enterprises is not ideal, falling behind at the end of the manufacturing industry. The promotion effect of R&D investment is limited, and the environmental carrying capacity of the production cluster area is approaching the limit. Based on the above empirical results, this paper proposes the following workable implementation path to the realization of the green production of iron and steel industry: On the one hand, the iron and steel enterprises should pay attention to improve technical efficiency, constantly improve low-carbon production process, optimize industrial layout. On the other hand, the government should guide the digital and intelligent development of the iron and steel industry and strengthen supervision to ensure the safety and stability of the supply of resources in the iron and steel industry.
Application of Hydrogel in Skin Repair
Authors: Li Baixue , Yi Liu
Published: April 2024

Skin repair has been one of the greatest challenges in human history. Today, with the dramatic increase in chronic diseases and surgical procedures, the demand for wound dressings has gradually increased. Hydrogel, due to their excellent hydrophilicity, biocompatibility and three-dimensional (3D) porous structure, are widely used in wound dressings. In this paper, the process of skin wound healing, the application of hydrogel in skin repair and other applications of hydrogel are introduced. Finally, the development of hydrogel materials in the field of wound healing is prospeced.
Digital Inclusive Finance, Household Leverage Ratio and Economic Growth
Authors: Bi Fucong
Published: April 2024

In this paper, from 2011 to 2020 part of the provincial panel data in China as a research sample, using the system GMM model discusses the digital inclusive finance, residents leverage and the relationship between the economic growth. Through the research found: digital universal financial and economic growth between a "U" type of nonlinear relationship, residents between leverage and economic growth presents a "inverted U" nonlinear relationship. In the background of the rapid development of digital informatization, it is necessary to strengthen digital financial supervision, strictly control the leverage of the household sector and stabilize the expectations of the real estate market, coordinate the development of digital finance in the region, and promote steady economic growth.
Research Progress of Optical Biosensing Technology for Alpha-fetoprotein Detection
Authors: Du Yongdong
Published: April 2024

Alpha-fetoprotein (AFP) is intimately associated with the incidence and progression of liver cancer and various tumors. AFP exhibits elevated concentrations in various tumors, making it a viable positive detection marker for these malignancies. Consequently, the development of precise, ultra-sensitive, and highly selective AFP detection methods is crucial for the early detection and effective monitoring of these life-threatening diseases. Optical biosensors rank among the most efficient detection techniques currently available. These biosensors   possess features such as low cost, high sensitivity, real-time monitoring, and non-invasiveness, making them more suitable for AFP detection compared to other methods. This article reviews the role of this novel biosensor in the early detection of AFP, which holds significant implications for cancer diagnosis.
Research on Private Domain Traffic Operation Link Based on D2C Lead Marketing
Authors: Cao Ying
Published: April 2024

This project aims to build an online platform, open up an integrated link integrating brand building, mental planting and effect transformation, obtain user leads through various marketing methods such as content creation and channel delivery, and establish a social customer relationship management system for the third-party automotive industry based on artificial intelligence technology. To carry out the link operation after retention collection, data cleaning, hierarchical screening, AI intelligent customer service, etc., to establish high-quality brand user clues database information. On the basis of exploring the realization of live streaming clues, this project will cooperate with the media operation room to build the mini program platform for users of Zhongqi Media, complete the introduction of the platform for prospective users of online and offline projects of Zhongqi Media, and conduct user operation through the modular construction of the platform. Build a complete private domain operation system of "public domain drainage, content planting, attracting and retaining funds, label classification, private domain precipitation, guided purchase, activation, potential customer tracking, and data duplication".
Study on Identification Method of Sand Production Type in Unconsolidated Sandstone Reservoir
Authors: Zhou Zhemin
Published: April 2024

Sand production refers to the phenomenon in the production process of an oilfield where sand grains from the formation flow into the wellbore and block the flow channels due to excessive production pressure differential, loose cementation of rocks, and other reasons. The sand production from formations is influenced by various factors and exists in multiple forms simultaneously: based on the microstructure of weakly cemented sandstone, the rock particles of sandstone are classified into skeletal sand and loose sand. However, existing research methods can only study the mechanism of sand production from loosely cemented sandstone from a macroscopic perspective. In order to achieve a refined classification of sand production types from loosely cemented sandstone during water flooding processes, this study proposes an experimental method for identifying the types of sand production from loosely cemented sandstone reservoirs. While quantitatively calculating the types of sand production from loosely cemented sandstone reservoirs, this method also fundamentally reveals the microscopic mechanism of sand production from loosely cemented sandstone reservoirs, obtaining accurate analytical results of sand production types.
Medication Recommendation System Based on Natural Language Processing for Patient Emotion Analysis
Authors: Zheng Haotian , Xu Kangming , Zhou Huiming , Wang Yufu , Su Guangze
Published: April 2024

Natural Language Processing (NLP) is an interdisciplinary field of computer science, artificial intelligence, and linguistics that focuses on the ability of computers to understand, process, generate, and simulate human language in order to achieve the ability to have natural conversations with humans. The underlying principles of natural language processing are at multiple levels, including linguistics, computer science, and statistics. It involves the study of language structure, semantics, grammar and pragmatics, as well as the statistical analysis and modeling of large-scale corpora. In the process of concrete implementation, it is necessary to process natural language at multiple levels. Based on this, this paper combined deep learning and natural language processing technology to conduct sentiment analysis on patients' comments, so as to recommend drugs that are more suitable for patients, thus achieving accurate drug prescribing and personalized recommendation.
Simulation Analysis of Single-tooth Rock Breaking Process
Authors: Chun Yang , Li Bin
Published: April 2024

In this paper, the rock breaking process of the cutting teeth is analyzed, firstly, based on the rock constitutive model and damage law, the simulation model is established by finite element software, and the cutting load of the cutting teeth in the plane rock, rock ridge and rock ridge root is analyzed, and on this basis, the load of the rock and the cutting tooth during scraping is analyzed through the cloud map. The effects of camber angle, depth and cutting speed on cutting force and crushing ratio were analyzed.
Art Education Institutions Update the Business Model: A Study of Painting La with Business Analysis
Authors: Liu Fangfang
Published: April 2024

This article uses new business model and quantitative analysis to solve the recruitment problem of the company. Painting La Company is an art education training institution for children. Couse most customers are not familiar with online course products and internal problems of the company lead to low customer viscosity and less enrollment of the company. The company upgraded the product and made a new business model to solve the above problems. The success of the new business model is analyzed in detail with data. UE models show high margins and a significant increase in monthly GMY. In addition, the management of the company is inseparable from the full cooperation of the leaders. There is no doubt that the new business model has successfully solved the company's problems.
Research on the Influence of Busy and Productivity Orientation on Consumers' Anti-hedonic Consumption Preferences
Authors: Wang Shibo
Published: April 2024

Based on the social background of the rise of anti-hedonic consumption, this paper conducts a study on the factors affecting consumers' anti-hedonic consumption preference. This study used the empirical research method, through the literature combing found that productivity orientation and busy vs leisure state interaction affected consumer emptiness, and then affect anti-hedonic consumption preference. The high productivity makes consumers feel empty in their leisure state and prefer anti-hedonistic consumption. Subsequently, this paper verifies the hypothesis by data analysis methods including experiment and variance analysis, simple slope analysis and regulatory mediation analysis. The conclusions of this study enrich the studies on the anti-hedonic consumption dependent variables. It also provides a reference for the government departments to improve the well-being of different productivity-oriented groups and the anti-pleasure consumption marketing of enterprises. It has a high theoretical value and practical value.
Promoting Age-friendly Finance and Bridging the "Digital Divide"
Authors: Dou Baoting
Published: April 2024

With the rapid development of mobile Internet and artificial intelligence, young and middle-aged people are enjoying the convenience of online shopping, ordering food, buying groceries, transferring money and so on, while at the same time the elderly are suffering from difficulties in payment, traveling, medical care, shopping and so on, which has become a "digital divide" in front of the elderly. According to the data released by the National Bureau of Statistics at the end of 2022, China's population aged 60 and above is 28,040,000, accounting for as much as 19.8% of the total population, of which 209,780,000 are aged 65 and above, accounting for nearly 15%, which means that China is facing the problem of deep aging. Therefore, how to promote the reform of aging and provide financial services suitable for the elderly has become a new opportunity for commercial banks to enhance their market competitiveness and overtake in the "silver economy".
Research on the Transformation and Upgrading of The Education and Training Industry Under the Background of "Double Reduction".
Authors: Shi Danyi
Published: April 2024

On July 24, 2021, in order to standardize off-campus training institutions and reduce the excessive homework burden and off-campus training burden of students in the compulsory education stage, the General Office of the Central Committee of the Communist Party of China and the General Office of the State Council issued the "Opinions on Further Reducing the Homework Burden and Off-campus Training Burden of Students in the Compulsory Education Stage" (referred to as the "Double Reduction" Policy). The "double reduction" policy directly limits the scale of academic off-campus training institutions, reduces the duration of extracurricular training, and has a huge impact on the education and training industry. In order to help the education and training industry in Hubei Province solve the current practical problems, this paper conducts an in-depth analysis from the perspectives of internal environment and external environment, explores the influencing factors of the transformation and upgrading of the education and training industry in Hubei Province, and on this basis, constructs a structural model, further analyzes the mechanism between the influencing factors, and clarifies the relationship between the factors.
A Literature Review on Pricing Decisions for Complementary Supply Chains Considering Social Preference Behavior
Authors: Peng Xinmiao
Published: April 2024

In practice, many enterprises have achieved better market results through the implementation and continuous optimization of the complementary products strategy. Although complementary products can bring higher value and utility to customers' consumption experience, thus affecting the production operation and sales price decisions of enterprises, the strategic choices of complementary supply chain members will be affected when facing the different social preference behaviors of the members in the complementary supply chain and the complex supply chain structure. Based on this, this paper considers the vertical altruistic preference of the manufacturer over the retailer and the horizontal altruistic preference of the manufacturer over the manufacturer of the complementary product under different altruistic preference dimensions for a two-level supply chain system consisting of two manufacturers producing complementary products and a common retailer, and analyzes the optimal pricing strategies of supply chain members under different altruistic preference levels, which is of great significance for the stable operation of the supply chain.
Analysis of Chinese Patents on Cathodic Protection by Applied Current Method in Marine Sector
Authors: Jia Jin , Sun Liang , Han Pengyue , Huang Yidan
Published: April 2024

The resource problem is the top priority of China's current development, while the ocean is an inexhaustible treasure. The development and utilization of marine resources has always been the key direction of development. The characteristics of offshore engineering operation equipment are: first, the scale of the platform is particularly large, and second, it is long-term in the harsh environment such as moisture and salinity [1]. Therefore, the anti-corrosion of offshore platforms is the research hotspot of relevant technicians, this paper systematically summarizes the patent application of external current in cathodic protection of anti-corrosion technology. It analyzes the patent type, affiliated institution, important applicant, application field and other related contents. The results show that enterprises prefer to actually invent devices, while scientific research institutions, universities and colleges are more about the creation of technical methods.
Research on Business Environment Issues in Guangdong Qianhai Free Trade Zone
Authors: Ren Zifeng
Published: April 2024

At a time when China's economy is entering a new normal and realizing high-quality medium-speed growth, it is inextricably linked to the forty-two years of reform and opening up. As a pioneer of reform and opening up, Guangdong Province has been at the forefront of domestic economic development, demonstrating courage and practice in response to the changes of the times. As China's relationship with the world economy grows closer, changes in the international economy have prompted the deepening of regional economic integration and international trade. The application of free trade in international trade has been increasing, and FTAs have been widely practiced globally. As the world's second largest economic complex, China is still in the developing stage of free trade zone reform and practice compared with other developed countries. Wang Linghao (2019) pointed out that China's value and status in the global economy is increasing, and the development of free trade zones can help to enhance China's position in the global industrial chain. He emphasized that the influence of free trade can be enhanced through the development of free trade zones and the influence of the "Belt and Road" policy. Wang Under the guiding ideology of deepening reform and opening up of FTZs, China has promoted the experimentation and construction of Guangdong Qianhai FTZ and Hainan FTZ. Although the specific research on the business environment of Guangdong Qianhai FTZ has not yet formed a scale, it can be seen from the development research of other domestic FTZs that the business environment has an important impact on the construction of free trade zones. Therefore, this paper will deeply analyze the current situation and relevant initiatives of the business environment in Guangdong Qianhai FTZ from various aspects.