bluuebunny/crossref_metadata_2025 huggingface dataset:
The Media Influence on Men’s and Women’s Willingness to Vaccinate against HPV - A study based on the Theory of Planned Behavior
Authors: Tang Shuyue , Wang Zitong , Zhang Siyu
Published: April 2023

According to previous studies, HPV vaccination is very effective in protecting against the HPV virus. The media attention to the HPV vaccine has increased greatly in recent years, and people's attitudes and behaviors toward HPV vaccination have changed significantly. This study was based on TPB theory and used a questionnaire survey to understand the influence of media communication on audience attitudes and behaviors toward HPV vaccination and the differences between men and women. The analysis of the data results showed that there was a positive correlation between media attention to HPV and audience vaccination with HPV, and its effect on women was slightly less significant than that of men. This discrepancy is due to the different attention paid by the media to HPV vaccination for men and women, and also due to the fact that the impact of this virus on women is much greater than that of men in the perception of the audience, which is also largely due to media information. Overall, the authors suggest all the audiences should pay more attention to these HPV viruses in order to protect their health.
New Changes in the Traditional Image of the Saints in European Literature in the 20th Century
Authors: Wang Leilei
Published: April 2023

Because of the profound influence of religion, especially Christianity, on the development of European literature, the saint has always been an important figure in traditional literary works. European literature has gone through different stages of development, and the image and status of the saint in literature are constantly undergoing new changes. As European society entered the 20th century, a number of social and intellectual changes took place, which also led to many new changes in literature. This paper focuses on new changes resulting from the deconstruction and reconstruction of the image of the saints in 20th-century European literature. Thus, efficient approaches are needed to explore the definition of saints in traditional European literature, show new changes in the image of saints, and analyse the reasons for these changes. The results obtained in this research include the definition of the original concept of sainthood, the new changes in the image in the 20th century, and the reasons for the changes. These results suggest that the figure of the saint in 20th-century literature transcends the confines of traditional religious contexts and exists more as an absolutely sacred individual.
How Parenting Styles Influence Adults’ Social Anxiety
Authors: He Xinyue
Published: April 2023

Causes of social anxiety come from a variety of sources, and one of the earliest causes is parenting styles. Children’s consistent development of social anxiety may result from the use of different parenting styles by parents and social anxiety can persist into adulthood and even affect a person's whole life. In this paper, the author uses a questionnaire consisting of the s-EMBU-C scale and the Shyness Scale to examine the interaction between parenting styles and social anxiety in adults. A total of 420 effective data were collected in this study, after analysis, it was found that the age group of the respondents in this survey was still concentrated in their 20s overall, although some were individually higher. In the s-EMBU-C, no significant difference was found between the scores of the paternal factors and the maternal factors in the same dimension. In the Shyness Scale, more respondents selected low-scoring items, but the number of extremely high scores was high, so the overall scores were moderately high. Age was significantly associated with all factors in both s-EMBU-C and Shyness Scale. s-EMBU-C was significantly correlated with several factors in Shyness Scales. No clear regression prediction was found for the present survey data after regression prediction by SPSS. Although the findings of this study show a correlation between Parenting Styles and adult social anxiety, the author concludes that there are many other factors may influence adult social anxiety. Parenting Styles only partially affect adults’ social anxiety levels.
From Lady Lazarus to the Thanatopsis of Plath: Interpretation of Images about Death
Authors: Huang Chun , Wang Chengyao , Xiong Ruobing
Published: April 2023

Sylvia Plath is a widely read and prominent poet in the field of feminism. Moreover, Lady Lazarus is one of her most complicated and representative poems, which has been widely concerned by the academic circle. This paper is for the purpose of interpreting the "Death" theme and the thanatopsis of Plath in the method of Archetype criticism theory and close reading, hoping to make a small contribution to the growing field of research and discussion of the image of death in Plath's poems through the analysis of the text. The poem reveals the perspective of the death of Plath: Death and rebirth are the process of female regeneration and a way of power replacement. In the sense of feminism, Plath's cognition of women's "death" is divided into three aspects: a kind of free will that rejects any interference, a kind of common unfearful ending of everyone's fate, and the ultimate expression of her art. Plath's cognition of women's "rebirth" includes the subjective enhancement of women's strength and the resistance of compelling force from male society. In terms of social and historical criticism, her thanatopsis originates from her tragic personal life, which develops a kind of obsession with death. This obsession also forms her view that death is art, and Lady Lazarus is the statement that death is an art that best describes her thoughts and life.
“Negative Capability”: Imagination in Ode to a Nightingale
Authors: Tang Yizhi
Published: April 2023

Keats was one of the most famous English Romantic poets of the 19th century. Although he had a difficult life and died young, Keats still produced many unsurpassed works in his short life, and even today, his achievements shine like a star in the world of poetry. In addition to his poetic achievements, Keats also put forward many aesthetic ideas, and this essay will focus on the concept of “Negative Capability”, which requires that the poet should extinguish his inherent consciousness and empty himself, and be comfortable in difficult situations and negative emotions and not be anxious to find answers and reasons, which is the best way to release his imagination. The “Negative Capacity” is one of Keats’s most widely known aesthetic theories, which fully reflects his profound thoughts on truth and beauty and his pursuit of the capacity to be a poet. In order to analyze and deconstruct this concept more specifically, this paper will take Ode to a Nightingale as an example and explore the deeper meaning and application of “Negative Capability” while analyzing the poem. This paper concludes that Keats’s pursuit of “Negative Capability” is perfectly reflected in Ode to a Nightingale - he lets his imagination go free by emptying himself and uses a lot of rhetorical techniques to show his lament for the fickleness of life and his pursuit of eternal joy. The ode to the nightingale is a perfect embodiment of this.
Racial Identity in American Literature of the 1930s: Three Examples
Authors: Tu Yi
Published: April 2023

Views of racial identity have shifted greatly throughout American history and are a crucial part of American culture. The 1930s was an era in which national policies redefined what it meant to be “white”, and the great depression impacted the poor disproportionally. This paper explores the development of racial identity in the 1930s by focusing on three particular literary works from this time in the United States using both textual analysis and qualitative analysis. By analyzing these three novels, John Steinbeck’s The Grapes of Wrath, Zora Neale Hurston’s Their Eyes Were Watching God, and Pearl S. Buck’s The Good Earth, it can be found that not only the larger social and economic background of the time affected and even created these works, but authors’ personal experiences played important roles. The proportion of the effect of the social environment to the effect of unique personal circumstances in these novels varies greatly—it can be found that while The Grapes of Wrath can almost be entirely attributed to what happened in real life (thus the use and development of realism), Their Eyes Were Watching God and The Good Earth have personal experiences integrated into the lines that have close connections to the author’s personal identity as a member of a certain cultural group. These differences might stem from the difference between being in the majority or minority racially.
Exploring the Influence of Family Factors on Junior High School Students' English Proficiency in the Context of the Double Reduction Policy
Authors: Cai Simin , Li Nanxuan , Xiong Xinzhu
Published: April 2023

In the year 2021, the General Office of the CPC Central Committee announced a policy: Opinions on further reducing the burden of homework and off-campus training for students in compulsory education. Facing this newly announced policy, different parents and students have various actions towards it. Some parents lower their requirements on students' academic performance. However, other parents still keep a high standard for their studies. And English, as one of the compulsory courses, has been given great attention. This paper tries to find out appropriate guidance on what to do under this new policy. Through analyzing data collected by CEPS (China Education Panel Survey), a nationwide data collection, the following points have been found: students' academic performance in English study is closely and positively related to parents' economic resources, social relation resources, and family education. It is better for parents to react actively to this policy.
A Quantitative Analysis of the Relationship between Education Level and Income
Authors: Mou Wanru
Published: April 2023

Since entering the 21st century, China has been paying more and more attention to academic qualifications. Some posts have set academic qualification thresholds, and people are often willing to improve their academic qualifications to obtain better remuneration. In this case, it is necessary to carry out corresponding research on the income relationship between academic qualifications and wages. This research and conclusion will help students to enhance their learning awareness and deeply understand the important impact of academic qualifications on wages and salaries so as to encourage students to continue their studies and lifelong learning so that they can have more choices in their future life. The topic of the study is whether there is a significant difference in the salary of students with different degrees. The research method is linear regression in quantitative analysis. The results are as follows: Students’ different educational backgrounds have an impact on their wages and salaries, and the highest educational background has a positive correlation with their income.
Research on the correlation between the level of education of the residents and the level of regional economic development
Authors: Yang Huanyu
Published: April 2023

The continuous development of the economy requires the participation of highly qualified people, and the development of highly qualified people requires financial investment and support. To study the correlation between the educational attainment of the population and regional economic development, this study used the gross regional product of China, the number of postgraduate graduates by province, the number of specialist and undergraduate graduates by province, and the population by province from 2016 to 2020 as the data for the study. This study used StataSE software for regression analysis and passed the F-test and Hausman test to finally select the fixed effects model from the mixed OLS model, fixed effects model, and random effects model for data analysis. The results indicate that the educational attainment of the population has a significant impact on regional economic development. China's economy has been growing in recent years, and investment in education has been increasing. Support for education needs to continue to be strengthened to provide stronger and better intellectual support for economic development.
How Gender Stereotype in Education Impact Female Students’ Development in Secondary School
Authors: Jin Xilin
Published: April 2023

Currently, gender equality has gained considerable development across the world. However, gender issues did not really disappear. Gender bias and gender discrimination still widely exist in society and the field of education. The achievement of gender equality will always be an unavoidable key issue in education. Because secondary school students are in a critical stage of socialization, the educational environment can readily influence their gender preconceptions. Finding gender stereotypes that harm secondary school girls is crucial for reducing their effects. The research on gender stereotype of female teenagers in the secondary school setting is reviewed in this paper. By analyzing research done previously, the author aims to determine the effect of gender stereotypes on female adolescents’ development. This paper summarizes stereotypes from three aspects: the family, the school and society. Females were likely to grow up with negative influences from the three perspectives above, resulting in lower self-confidence and more mental health problems, hence catering to a rigid social identity rather than choosing a future path based on their interests and abilities. The findings highlight that educators, parents and public media need to support both male and female students in all academic areas.
A Comparative Study of Reforms on Language Policy in Persian and Qin Empire
Authors: Yang Yi
Published: April 2023

After establishing a territory extensive, multicultural and diverse ethnic empire, in order to consolidate power, Darius I and the First Emperor of Qin carried out a quite similar reform, but they took the opposite approaches to language policy: Darius adopted a loose language policy, allowing people who lived on the conquered lands to remain their languages and scripts, while the First Emperor of Qin adopted the “unification of scripts and pronunciation” policy, abolished the paleography in the former six countries and formed a consolidated official character based on the Qing characters named “seal character”. Therefore, this paper uses the comparative historical analysis approach to compare the historical background, influential factors and results of the two different language policies adopted by Darius and the First Emperor of Qin; it reveals that the “unification of script” policy was the key or at least one of the key, to not only increase effectiveness and accuracy in decree passing but also to form cultural memory of the polity which was the foundation of national identity to increase the stability and continuity of an empire.
Development of Electric Power Networks Inspection Information Management System Based on MapWorld API
Authors: Zhong Jingran , He Bi , Geng Chuanzhi
Published: April 2023

According to the management requirements of a large number of spatial data and attribute data generated by daily inspection of power system, the power inspection information management system is developed by using WebGIS (Web Geographic Information System) technology. Firstly, the user layer of the whole system is developed by using HTML and CSS as tools, and then the basic data is managed by using sky map API and JavaScript as tools, combined with the relevant functions of sky map API, the functional modules of the system are developed to realize the functions of visual information management and two-way query. The system can provide corresponding solutions for the management of Power Patrol information.
Study on Typical Aerodynamic Faults of Variable Pitch Wind Turbine
Authors: Liu Simin
Published: April 2023

The variable-speed variable-pitch wind turbine is an important part of China's power and energy systems, and is also the main conversion form of wind energy utilization. Aiming at the problem that the traditional blade element-momentum theory cannot achieve the modeling and simulation of wind turbine plane wind unbalance caused by wind shear and tower shadow effect, the modeling and simulation numerical calculation method of aerodynamic load of wind turbine actuation disk with different blade wind unbalance pitch angles is proposed, This method can derive the analytical expressions for solving the key variables of load calculation, axial induction factor and tangential induction factor, and realize the aerodynamic load solution. At the same time, it is also verified that the characteristic vibration component of 3 times the low speed shaft rotation frequency (3P) is a typical dynamic load feature of tower shadow effect, and is also the most important aerodynamic load fluctuation feature of variable-speed variable-pitch wind turbine, However, under normal conditions, the wind shear effect has little effect on the wind turbine load fluctuation.
Research on	Speech Emotion Recognition Analysis Based on Deep Learning
Authors: Yin Ailiang , Li Chunhao
Published: April 2023

This paper combines two aspects of feature selection and building deep neural networks to carry out targeted research to improve recognition accuracy. Firstly, speech preprocessing techniques are introduced to extract the speech spectrogram and lay the foundation for building the speech emotion recognition network model study. The focus is on building a speech emotion recognition network model based on residual network improvement and comparing experiments with AlexNet model network and ResNet-18 network model.
UAV 3D path planning based on improved grey wolf optimization algorithm
Authors: Liu Qunjie , Wang Hongxing
Published: April 2023

In this paper, an improved grey wolf optimization algorithm is proposed for the research of UAV path planning in a complex 3D environment. Firstly, a new nonlinear convergence factor is proposed to balance the performance of global search and local development. Secondly, a cubic chaotic mapping is adopted to initialize the wolf population, diversifying the population while improving the uniformity of the population distribution. Finally, a mutation operation is introduced to mutate the individual gray wolf, which enhances the ability of the algorithm to jump out of the local optimum. Three-dimensional environment model is established by elevation data. The simulation results show that the optimal fitness of the improved algorithm is improved by 2.34% compared with that before the improvement, which proves the effectiveness of the algorithm in this paper.
Social recommendation algorithm based on collaborative filter algorithms
Authors: Tan Jingwen , Hu Youxin , Luo Jianqiu
Published: April 2023

For traditional collaborative filter recommendation algorithm technology, this paper combines the collaborative filtering recommendation algorithm with the community division technology of social networks, use the Louvain community to divide algorithms, divide the recommendation users to a community of similar users, and use the collaborative filter algorithm based on the user similarity formula within the community to recommend. In order to verify the effectiveness and accuracy of the algorithm in this paper, based on the introduction of the Douban dataset and the evaluation criteria used, a variety of comparative experiments are carried out on the Douban dataset with a variety of recommendation algorithms to verify the effectiveness of the proposed algorithm
Research on the Cuckoo Algorithm for Flexible Workshop Scheduling Problems
Authors: Huang Changlong , Pei Ling , Ouyang Qi
Published: April 2023

As a typical combinatorial optimization problem, the essence of the solution to the scheduling problem is to formulate a reasonable scheduling scheme to arrange and allocate production resources, thereby obtaining the optimal scheduling result. The Cuckoo Search Algorithm (CS), a revolutionary meta-heuristic, is based on the cuckoo's breeding behavior and combines Lévy flight and random walk strategies to more efficiently attain the search goal. CS algorithm has been extensively employed in a variety of intricate combinatorial optimization issues, with its few parameters, precise resolution, random search path optimization, robust search aptitude, and uncomplicated implementation leading to satisfactory outcomes. After in-depth research, we found that the cuckoo search algorithm excels in dealing with flexible workshop scheduling problems. We conduct a series of comparative experiments to further confirm the efficacy of this algorithm. The results show that the cuckoo algorithm performs well in global search and can be used to solve complex flexible workshop scheduling models.
Research on Pulse Shaper Based on Trapezoidal Function
Authors: Han Zhenwei , Song Kefei , Liu Yang
Published: April 2023

In order to improve the time resolution and spatial resolution of photon-counting imaging system, the pulse shaper based on trapezoidal function is studied. The signal with an exponential decay shape from charge sensitive amplifier is converted to digital discrete signal by ADC and then the discrete number sequence is filtered and shaped by digital signal processing technology. The amplitude linearity and time width of the trapezoidal shaper are simulated and verified using software-generated single exponential signals and double exponential signals. While the continuous pulses are applied to the trapezoidal shaper, the separation characteristics of the trapezoidal algorithm for pulses pile-up is verified, and the setting method of the rise edge and fall edge parameters of the trapezoidal shaper is proposed, which can realize the high counting capability of the system.
MMC circulating current suppression strategy based on improved quasi-PR control
Authors: Fu Guangjie , Lu Zhiwei
Published: April 2023

The internal circulation of modularized multilevel converter will affect waveform quality and increase system loss. In this paper, the basic principle and topological structure of MMC as well as the causes of the internal circulation are briefly analyzed. A method of harmonic component extraction based on the second-order generalized integrator and the suppression strategy of MMC circulation based on feedforward compensation quasi-proportional resonant control are proposed. The feasibility of this strategy is verified in MATLAB/Simulink, and the simulation results show that the circulation and capacitor voltage fluctuation are controlled within a reasonable range.
Transformer fault text classification model based on double feature channel
Authors: Guan Fujun , Wang Dewen
Published: April 2023

The power transformer plays a key role in the power distribution and transmission of the power system of the equipment, if the transformer fault leads to unexpected outage of the power system, then it will have a great threat to the whole power system, through the analysis of the transformer fault text can better guide the procurement of the transformer and fault maintenance. This paper proposes a classification method of transformer fault text based on two feature channels. This method extracts useful text emotion information from different aspects and levels by using two feature vectors, namely word vector and pinyin vector, and inputs it into Bilstm network to extract local and global semantic features. Then the features are fused through the attention mechanism. Finally, the features output by softmax function are classified and predicted. Experimental results show that the proposed method greatly improves the accuracy of transformer fault text classification.
Research on No-reference Image Quality Assessment Algorithm Based on Generative Adversarial Networks
Authors: Zhao Wenqing , Chen Haoyang
Published: April 2023

Currently, with the massive generation and transmission of digital images, especially the rapid development of the Internet and mobile Internet industries where images are widely used, the study of reference-free image quality assessment has attracted much attention in academia and practical applications, and is a popular research direction in the field of computer vision. In response to the low performance of existing reference-free image quality assessment algorithms in the face of real distorted images, a reference-free image quality assessment algorithm based on generative adversarial networks is proposed. Firstly, the generator structure is changed, the U-Net structure is improved, and the channel attention mechanism SeNet structure is introduced to update the feature map after down sampling. Secondly, a feature similarity measurement system is incorporated and a dual discriminator structure is used to discriminate multiple groups of images. The FPN structure is combined in the feature extractor to produce a multi-scale feature representation. Experiments are conducted on KonIQ-10k dataset and LIVEC dataset, and the experimental results show that the algorithm exhibits good prediction accuracy as well as good generalization performance in the face of real distorted images.
Quantum fuzzy neural network based on fuzzy number
Authors: Yang Xin
Published: April 2023

Neural network is one of the AI algorithms commonly used to process data, and has an extremely important position in scenarios such as image recognition, classification, and machine translation. With the increase of data volume explosion, the required computing power of neural networks is also significantly increased. The emergence of quantum neural networks improves the computational power of neural networks, but the accuracy of neural networks and quantum neural networks is not high in the face of the complexity and uncertainty of big data. In order to improve the efficiency and accuracy, the cross-fusion of "fuzzy number theory + quantum neural network" is proposed to study the quantum fuzzy neural network (FQNN) based on fuzzy number. The Gaussian fuzzy function is used to generate the corresponding fuzzy affiliation matrix to describe the uncertain information in the data. The fuzzy independent variables are trained through the FQNN model, and the model is output after changing the parameters of the quantum forward propagation layer. Simulation experiments show that the quantum fuzzy neural network model based on fuzzy number is more efficient and accurate in this study compared with the quantum neural network model.
Patient-oriented online healthcare services platform: development based on Vue3 and Ts
Authors: Wang Shuaina , Yin Hang , Wang Xiangkun
Published: April 2023

This paper presents a patient-oriented online medical service platform. The aim is to be able to alleviate the problem of shortage of medical resources and inadequate supply of services, and for patients to be provided with more convenient medical services. The platform uses Vue3+Ts technology to develop the front-end, and uses Elements-plus for optimising the front-end interface, and Piana for status management. In addition, the platform uses SignalR technology to enable real-time communication between patients and doctors. This makes it easier for patients to use. Platform functionality includes drug purchasing, patient question posting, doctor answering and patient-doctor one-to-one consultation functions. This paper describes in detail the technical approach to the platform and the system implementation. The platform has also been tested. The results show that the platform is easy to maintain and simple to operate and is expected to play a more important role in future healthcare systems.
Deep learning in drug discovery: applications and limitations
Authors: Tang Yuxuan
Published: April 2023

Drug discovery is a complex and challenging process that requires a significant amount of time and resources. The application of deep learning in drug discovery has the potential to revolutionize the field by offering more efficient and accurate methods for predicting drug-target interactions, designing new drugs, and predicting toxicity and side effects. However, there are also several limitations and challenges associated with the use of deep learning in drug discovery, including the lack of high-quality training data, overfitting and generalization issues, interpretability and explainability of deep learning models, and legal and ethical considerations. In this review article, we discuss the various applications of deep learning in drug discovery, provide examples of successful applications, and explore the potential benefits of using deep learning. We also discuss the limitations and challenges associated with the use of deep learning and suggest ways in which these challenges can be addressed. Furthermore, we discuss the future directions of research in this area, identify areas where more research is needed, and provide recommendations for future research. Overall, this review article highlights the potential of deep learning in drug discovery and provides insights into the challenges and opportunities associated with its use.
A Distributed Streaming Computing Model Management System
Authors: Zhao Shangyu , Lin Ping
Published: April 2023

IoT big data has many dimensions, many business types and many customized requirements, and each business needs to be implemented using a stream computing model with a wide variety of stream computing models. This paper proposes a management method for streaming computing models, which can dynamically manage streaming computing models and achieve hot loading of streaming computing models. This makes it easier to manage computational models in a streaming computing cluster.
Live Streaming in A Long-term Uncertain Situation: Evidence from China’s Listed Company
Authors: Wang Jiaqi
Published: April 2023

Since the outbreak of COVID-19 on December 2019, various industries have been affected to some extent. Due to the government's quarantine policy, much of the non-essential work has shifted from face-to-face to online, and more and more people are trapped at home. In the uncertain environment of the spread of COVID-19, the live streaming industry with many random factors is a suitable research object. This paper selects two well-known live streaming platforms in China, Douyu, and Huya. The stock data since January 20 and the new number of confirmed COVID-19 in China and overseas were captured. The ARMA-GARCH model is used to model and analyze the data to study how the yield and volatility of this kind of industry change in the long-term uncertain environment. By experimental comparison, in the long run, the spread of this epidemic in China still has a significant positive impact on this live streaming industry. While there is little impact by overseas outbreaks.
Research on Transformation Strategy of Energy Industry: Taking China as an Example
Authors: Cui Xinyu
Published: April 2023

Energy is the material basis of people's life for a long time, and the energy issue has become an important influencing factor for the economic development of every country that cannot be ignored. Over the past few decades, China’s economy has achieved remarkable growth and progress and has formed a set of energy structure system with Chinese characteristics. However, many energy problems have emerged in the process, which have a negative impact on the future sustainable development of China's economy and environmental protection. The transformation and upgrading of the energy industry will be of great importance to China today. This paper starts from the condition of China's energy in today, starting from China's energy structure, energy use ratio, the direction of new energy utilization, focusing on the problems of serious imbalance of energy ratio, excessive reliance on imports of oil and gas resources, low efficiency of energy use, and low proportion of new energy resources development and utilization. By combining domestic and foreign academic research and the successful methods of the United States and other countries, this paper propose corresponding transformation methods and strategies: vigorously developing new energy sources, implementing structural upgrading of energy use in some industries, promoting innovative research in the energy industry, and promoting international cooperation.
Study on the identification of risk paths for financing small and medium-sized technology enterprises based on ISM-MICMAC model
Authors: Liang Jingwen , Huang Xiner , Niu Yuanni
Published: April 2023

To reduce the financial risk of small and medium-sized technology companies and to identify the risk surface. This paper constructs a system of 12 indicators affecting the financing risk of small and medium-sized enterprises from 3 aspects, secondly, ISM (explanatory structural model) and MICMACM (cross-influence matrix multiplication method) models are constructed respectively; the hierarchy is carried out by ISM and the MICMAC model is used to carry out the influence and dependence relationship between factors. The results show that: the influencing factors of financing risk path of small and medium-sized technology enterprises are divided into dependent factors, linkage factors and independent factors; no influencing factors exist in the quadrant of spontaneous factors; the operation of financial institutions, profitability level and internal accumulation level are dependent factors with high dependence and low driving force, which are the key factors directly affecting the financing risk of small and medium-sized technology enterprises; the legal system, construction of financial institutions, circulation of monetary funds, Independent factors include only government policies, which have a high driving force and will affect the whole body when they occur, and are the key factors to reduce the financing risks of small and medium-sized technology enterprises. They should be carefully considered when making decisions.
Eco-efficiency study of vegetable industry based on super-efficient SBM model
Authors: Miao Wendi , Liu Kaige
Published: April 2023

In recent years, China has vigorously promoted the development of industrial ecology. Vegetable industry, as a key industry in rural areas, takes the road of ecological development is the general trend. Based on the background of poverty alleviation and rural revitalization, this paper establishes a comprehensive evaluation index system of vegetable industry ecology based on ecological efficiency. This paper use super efficiency SBM model to analyze the ecological development of vegetable industry in Shouguang City from 2005 to 2019. The study found that : The overall ecological efficiency showed an upward trend.
A Review of Research on the Influence of TMT Heterogeneity on EP
Authors: Zhou Xiangyu
Published: April 2023

With the strengthening of specialization and division of labor, the differences among top management team (TMT) gradually increase. The existing literature has explored the relationship between TMT heterogeneity and enterprise performance (EP). Secondly, the intermediary variable of the relationship between TMT heterogeneity and EP is introduced to explore the intermediate process of the influence of TMT heterogeneity on EP. The moderating variables that influence the relationship between the two processes are introduced to explore whether the intermediate process will be affected by other factors and present different characteristics. This paper sorts out and analyzes the existing literature, and puts forward some problems that may need to be paid attention to in the future, so that readers can understand the current situation of the development of this field and the possible future research direction, it also has certain reference value to the construction of the TMT, the cultivation of human capital and the economic upgrading and transformation in China.
How to develop the Time Bank for Old-Age Service in Less Developed Areas: A Comparison of Nanning and Nanjing
Authors: Wang Xiaoying
Published: April 2023

With the rapid economic growth, China has officially entered into an aging society and is facing the severe challenge of a population aging crisis. China has begun implementing the Time Bank for old-age service to address the aging problem better. However, Time Bank is usually developed in economically developed regions, and Time Bank is not set in less developed areas. This paper compares and analyzes the operation mechanism of the Time Bank in Nanning from five perspectives: policy support and funding sources, operation model, volunteer team construction, Time Banking platform construction, and service projects. The proposed measures for developing Time Bank in less developed regions fill a problem gap. China needs to address the risk of population aging actively. This is important for China to solve its pension problem and deepen the understanding of Chinese academia on the development of time banking in less developed regions.
Re-employment’s Fluence on the Mental Health of the Elderly
Authors: Li Xuanyi
Published: April 2023

Under the global aging trend, the re-employment of the elderly has become a hot topic full of controversy. This paper uses the case study method to study the influence of re-employment on the mental health of the elderly and finds that re-employment benefits the mental health of the elderly. On the one hand, the re-employment of the elderly can subsidize family expenditures through re-employment. They do not want to be a burden to their children and want to do their best for the family. On the other hand, older adults also yearn for a better life. They hope to obtain higher incomes, meet higher consumption demands, and realize self-worth and spiritual satisfaction through re-employment. Therefore, society must be more open, face up to and respect the actual needs of the older adults’ requirements for re-employment and the objective facts of economic and social development, and provide more employment security for the willing and able elderly.
Research on the application of formal beauty in patchwork art in contemporary women's wear design
Authors: He Chuchu , Ouyang Mingding
Published: April 2023

The patchwork art has a long history and was mainly used to meet people's basic living needs in the early stage. With the development of the times, the aesthetic value and environmental protection value of patchwork art gradually attracted the attention of major brands and trendsetters. At present, the relevant theoretical research on the origin of patchwork culture has been relatively perfect, but there is still a need for in-depth research on the aesthetic form of modern patchwork art and its application in modern women's clothing. By summing up the formal beauty expression of patchwork art and its expression in clothing, this paper explores the application of the formal beauty of patchwork art in contemporary women's clothing design, and provides new ideas for the development of patchwork art in clothing design.
The Manifestation of Gamification in App Content Design
Authors: Chen Yan , Wu Dandan
Published: April 2023

This article reviews historical research on game from the perspective of culture, psychology and philosophy, as well as modern research on gamification. Under the background, the article analyzes the reasons for introducing gamification into App content design, and selects three Apps to illustrate how game thinking, game mechanics and game elements are manifested in the content design of Apps.
Discussion on the color design of kindergarten interior space
Authors: Qing LiuGuo
Published: April 2023

Kindergarten is mainly for 3-6 years old children to live and study in kindergarten, kindergarten bears the important responsibility of children's physical and mental health development. However, in the design of children's interior space, due to the influence of traditional education, many times always ignore children's psychological characteristics and psychological development needs, in such a case cannot give full play to the kindergarten education of children's work. Color in interior design, as the most direct visual element, plays a very obvious role in different Spaces and spatial functions. Because we do not fully realize the importance of color for children's growth, it leads to a variety of adverse to the growth of children. Therefore, this paper focuses on the application of color psychology in kindergarten interior space design research and analysis.
Current art to help rural education revitalization of the main problems and reflections
Authors: Wang Cheng , Ge Ziwei
Published: April 2023

In the implementation of rural revitalization strategy, cultural revitalization reflects the connotation and characteristics of rural construction and development. Through the observation and investigation of the development status of Dingan Primary school in Dingan Village, Bengbu, Anhui Province, it is found that there are serious assimilation phenomenon, not obvious cultural characteristics, and lack of operation mechanism of literary and artistic activities in the development process of Dingan village. Therefore, at present, it is necessary to establish the cultural form of Dingan Village, find the weak points, target the campus of Dingan Dingan Primary school, and give full play to the advantages of team culture and art to promote the revitalization of rural culture. First, promote the "three going to the countryside" (intelligence to the countryside, works to the countryside, talents to the countryside) to solve the shortage of rural cultural talents; It is to broaden and improve the effective way for culture and art to go to the countryside, and comprehensively help the revitalization of rural culture.
A Study of Tang Sancai Art under the Influence of Hu-Han Cultural Interaction
Authors: Xia Chenxi , Yu Yingwei
Published: April 2023

In the 5,000 years of Chinese history, the Tang Dynasty, with its self-confidence, openness and tolerance, widely absorbed the essence of various ethnic groups and foreign cultures, realized a high degree of intermingling of Hu and Han peoples and cultures, and forged the Tang culture with a strong vitality based on the local Han culture and the intersection and fusion of various cultures. Tang Sancai, as a unique art emerging from the Tang Dynasty, is a unique flower in the history of Chinese ceramics, with a vivid cultural gene, and is known as an "encyclopedia" of the Tang Dynasty society, and a mirror reflecting the intermingling of Hu and Han cultures in the Tang Dynasty. The raw materials, production and aesthetic style of Tang Sancai were all influenced by the intermingling of Hu and Han cultures to varying degrees, and contained distinctive marks of exchange and interaction between the Hu and Han peoples, which provided the driving force for the formation of its artistic style representing the meteorology of the Tang Dynasty. This paper focuses on the study of the application of Tang Sancai art under the influence of the intermingling of Hu-Han cultures, firstly by collecting, organizing and summarizing various books and documents, and then by using history, archaeology and design to cross-analyze the research. In terms of content arrangement, firstly, the historical history of the intermingling of Hu and Han cultures is explored, and the process of intermingling is analyzed; secondly, the reasons for the spread and interaction of Hu and Han cultures during the Tang Dynasty are analyzed, and the specific expressions in terms of social customs and arts and crafts are discussed; and then an overview of the Tang Sancai is given, including the development, craftsmanship, and decoration, and the expressions of the influence of the intermingling of Hu and Han cultures in the Tang Sancai are explored.
Research on Cultural tourism Resources of Developing "Intangible Cultural Heritage"
Authors: Sang Yuqing , Yang Jian
Published: April 2023

Cultural tourism development is one of the important ways to protect and inherit intangible cultural heritage. However, the development of intangible cultural heritage tourism is faced with many difficulties. Taking Huaihe Culture as an example, the development of intangible cultural heritage tourism is faced with such difficulties as the disconnection between planning and resource integration, the disharmony between resources and brand construction, and the incompatibility between utilization and creative development. The specific path of the development of intangible cultural heritage tourism is to strengthen resource integration, pay attention to brand operation, and adhere to creative development.
Research on the design strategy and application of cultural IP in museums
Authors: Zhao Yaling , Zeng Jiaying , Zhang Yuanhang , Yu Jingyi
Published: April 2023

Research into the development of cultural and creative products for museums will not only help to pass on the best of Chinese culture, but will also enable more people to trace their roots. With the development of time and technology, museums are eager to increase their visibility among the public and receive public subsidies as one of their sources of income. Increasingly, museums are striving to develop cultural and creative IP products. Despite the wide variety of cultural IP products, few products reflect the characteristics of museums, mainly due to excessive profit-driven and lack of standardised design management, making museum cultural and creative products outdated and homogenised. Taking the Henan Museum as an example, this paper analyses the excellent cultural creative products and their current problems, and proposes innovative methods on cultural IP design to encourage the further development of cultural creative products in museums.
Study on Using Linear Regression Modeling to Better Estimate Total Surgical Procedure Time
Authors: Chen Siji
Published: April 2023

To make the most of the resources available in the operating room, careful planning of the available block time and the patient case sequences is required (OR). These planning methods will only help if the forecasts provided by TPT can be relied upon. This study makes use of linear regression models to improve TPT forecasts. These models are given estimated surgeon-controlled time (eSCT) in addition to other parameters of relevance. Surgical procedures at six Dutch institutions between 2012 and 2016 were evaluated using data from a benchmarking database. There were 79,983 contributors, which resulted in 199,772 hours of OR being reported. We analyzed the risk variables for TPT, which revealed that eSCT, patient age, surgical type, ASA physical status category, and anesthetic procedure were all contributors. During calculating the projected TPT for each file, the eSCT was multiplied by a fixed ratio model (discussed in further detail elsewhere) by a factor of 1.33. According to the findings of the research conducted by van Veen-Berkx et al., a conservative estimate of the period during which anesthesia is stable is around 33 percent of the SCT (ACT). In conclusion, we analyzed different linear regression models to predict TPT. These models included eSCT as one of the independent factors among the other covariates. In the end, each of the regression models was retested, this time to see whether or not it was possible to predict ACT reliably without using eSCT as a covariate (which leads to TPT by adding SCT). The most accurate projections of TPT were generated by a linear regression model that used eSCT, the kind of operation, the ASA classification, and the type of anesthesia. Compared to the fixed ratio model and the ACT prediction approach, the performance of this model was very satisfactory. Significant cost savings and increases in overall productivity may be realized if more accurate estimates were included in the planning and sequencing algorithms used to enhance operating room usage.