bluuebunny/crossref_metadata_2025 huggingface dataset:
Conversas à deriva: expressões da Educação Comunitária Ambiental para uma sociedade sustentável integral
Authors:   Universidade Nova de Lisboa, Franco Sílvia , Raposo Maria Albertina ,   Instituto Politécnico de Beja, Santos Mário Pedro ,   Associação de Pesca Local e Artesanal e de Apoio Social aos Pescadores (ALA-ALA), Gonçalves Rita ,   Associação de Pesca Local e Artesanal e de Apoio Social aos Pescadores (ALA-ALA), Morais Teresa ,   Instituto de Conservação da Natureza e Florestas (ICNF), Vasconcelos Lia ,   Universidade NOVA de Lisboa, Mesquita Mônica ,   Universidade NOVA de Lisboa
Published: February 2024

A diversidade de saberes e olhares, que as diferentes formações académicas e experiências profissionais fazem convergir, promovem o diálogo, a reflexão e discussão complexa e integrada das temáticas, e enriquecem o conhecimento e a investigação à escala individual, de grupos de trabalho e de organizações. Assim, um grupo de cinco representantes de diferentes organizações e formas de conhecimento, integra o projeto Educação Comunitária Ambiental: ações colaborativas para um desenvolvimento costeiro sustentável integral. O grupo reúne, num formato que promove o colocar “à deriva” ideias resultantes do diálogo sobre colaboração e sustentabilidade, buscando a implementação dessas ideias nas práticas individuais e do coletivo. A metodologia dos encontros, com recurso a dinâmicas participativas promotoras do desenvolvimento holístico, visa a participação de todos, o confronto de ideias, a reflexão, a partilha de conhecimento e a aprendizagem, potenciando a educação que cada um carrega em si. Este artigo pretende dar a conhecer o papel da Educação Comunitária Ambiental para um pensar coletivo, crítico e gerador de ações concretas, bem como a metodologia processual dos encontros. O processo evidencia a relevância do elevado sentido de pertença dos membros do grupo que se traduz em aprendizagens individuais e partilha de diferentes saberes.
Visão Integrada do Ensino-Aprendizagem: aplicação do modelo da Universidade Aberta
Authors:   Universidade Aberta, Cavique Luís
Published: February 2024

A educação aberta e em rede da Universidade Aberta é composta por um conjunto de idiossincrasias que não são percetíveis de imediato pelos novos docentes vindos de universidades presenciais ou por avaliadores da A3ES (Agência de Avaliação e Acreditação do Ensino Superior). Neste trabalho apresentam-se os conceitos essenciais da Educação a Distância (EaD) com o menor de vocábulos e evitando sinónimos. No processo de ensino-aprendizagem o papel do professor em contexto digitais é detalhado e a noção de aprendizagem é discutida. Apresenta-se uma taxonomia do ensino com ênfase na prática em comunidades virtuais.
Educação Social no continente americano: o caso da Rede Dynamo Internacional de Educadores/as Sociais de Rua
Authors:   Associação De Educadores/As Sociais De Maringá, Müller Verônica Regina , Natali Paula Marçal ,   Universidade estadual de Maringá, Labigalini Ana Paula Vila ,   OSC-APMIF Sistema de Apoio a Saúde São Rafael, Rodrigues Patrícia Cruzelino ,   Prefeitura Municipal de Maringá
Published: February 2024

Este texto trata da educação social no continente americano, a partir da conexão de organizações da sociedade civil que se interrelacionam por meio de uma rede internacional originalmente nomeada Dynamo International-Street Workers Network. As informações, acompanhadas de reflexões das autoras, pretendem apresentar uma prática singular de relações entre países das Américas que durante anos têm persistido na valorização da educação social com ênfase na busca da visibilidade das populações em situação de rua e dos/as profissionais que com elas trabalham.
Pedagogía antifascista. Construir una pedagogía inclusiva y democrática frente al auge del fascismo y la xenofobia.
Authors:   Universidad de Léon, Rodriguez Benjamín Mallo
Published: February 2024

Análise crítica da obra Pedagogía antifascista. Construir una pedagogía inclusiva y democrática frente al auge del fascismo y la xenofobia, de Díez Gutiérrez e Enrique Javier (2022).
Assessing the Durability of COVID-Era Capacity Gains Among Community-Based Organizations: Lessons from the Emergency Rental Assistance Program
Authors:   Federal Reserve Bank of San Francisco, Kneebone Elizabeth
Published: February 2024

To better understand the impact of the Emergency Rental Assistance Program’s conclusion on community-based organizations and on their scope and scale of work after ERAP, this brief draws on interviews conducted with practitioners involved with nearly two dozen ERA programs across the country. These interviews help shed light on how the dwindling and, in many cases, cessation of ERAP funds is affecting organizations’ capacity along multiple dimensions as they scale back, reorient, and move on post ERAP.
Pelatihan Peningkatan Penjualan Produk Jambal Roti Asli Bahari Pangandaran dengan Penerapan Desain Kemasan yang Menarik
Authors: Natari Sari Usih , Mutaqin Bambang Kholiq
Published: February 2024

Pangandaran sebagai salah satu daerah pariwisata di Jawa Barat, memiliki potensi besar untuk menjadi tujuan wisata kelas dunia. Salah satu pendekatan yang dapat digunakan dalam mengembangkan daerah Pangandaran adalah kewirausahaan sosial. Kewirausahaan sosial merupakan konsep yang memungkinkan pengusaha untuk memberdayakan masyarakat setempat dalam mengatasi masalah sosial dan meningkatkan kesejahteraan warga. Tujuan pengabdian pada masyarakat adalah untuk pemberdayaan masyarakat nelayan khususnya pada hasil tangkapan nelayan, terutama ikan manyung (juga dikenal sebagai ikan jambal). Produk makanan khas Kabupaten Pangandaran, seperti ikan asin jambal roti, memiliki potensi besar untuk dikembangkan. Metode pemberdayaan dengan pelatihan dan pengalian literatur untuk peningkatan usaha dengan peningkatan branding produk. Salah satu contoh kesuksesan dengan brand image dalam menghadapi dampak pandemi Covid-19 adalah UMKM Jambal Roti Asli Bahari, yang telah berdiri sejak 2007. UMKM Jambal Roti Bahari berhasil meningkatkan penjualan produknya selama pandemi. Pengetahuan tentang penjualan secara digital dan pelatihan desain logo produk berkontribusi pada kesuksesan ini. Identitas merek, yang terdiri dari desain logo dan nama merek, memainkan peran penting dalam membentuk citra merek dan memperkenalkan produk kepada pelanggan. Pendekatan kewirausahaan sosial dan penguatan identitas merek dapat terus mengembangkan potensi wisata dan meningkatkan kesejahteraan masyarakat setempat.
The Effect of Work Hardening on the Structure and Hardness of Hadfield Steel
Authors: Bańkowski Damian , Młynarczyk Piotr S. , Depczyński Wojciech P. , Bolanowski Kazimierz
Published: February 2024

The article aims to characterize Hadfield steel by analyzing its chemical composition, mechanical properties, and microstructure. The study focused on the twinning-induced work hardening of the alloy, which led to an increase in its hardness. The experimental data show that the material hardness at the surface improved considerably after solution heat treatment and work hardening, reaching more than 750 HV. By contrast, the hardness of the material core in the supersaturated condition was about 225 HV. The chemical and phase compositions of the material at the surface were compared with those of the core. The microstructural analysis of the steel revealed characteristic decarburization of the surface layer after solution heat treatment. The article also describes the effects of heat treatment on the properties and microstructure of Hadfield steel. The volumetric (qualitative) analysis of the computed tomography (CT) data of Hadfield steel subjected to heavy dynamic loading helped detect internal flaws, assess the material quality, and potentially prevent the structural failure or damage of the element tested.
Research and realization of computer image recognition system based on digital projection technology
Authors: Ma Qian
Published: February 2024

In this paper, the image Gabor features extracted by Gabor wavelet are fused with the image grayscale map to construct the enhanced Gabor features, and then combined with the characteristics of Gabor wavelet and convolutional layer, the Gabor feature extraction module, parallel convolution module and spatial transformation pooling module are designed. The corresponding Gabor convolutional layer and Gabor convolutional neural network are constructed using the appropriate module in accordance with the image recognition task application scenario. The convex set projection image super-resolution reconstruction method is used in this paper to improve the resolution of images with low resolution. The construction of a computerized image recognition system involves combining a Gabor convolutional neural network and a convex set projection method. This system has been tested and found to have a recognition accuracy of 93.5% for object images. This system’s ability to accurately recognize low-resolution shadow-obscured face images is possible thanks to using the convex set projection method to reconstruct the image and recognize it accurately with an accuracy of up to 93.85%. This system’s recognition performance for complex images has been proven through experiments.
Development trend and strategic positioning of China’s digital trade in the context of the Internet
Authors: Chu Xiwei , Wang Jingbu
Published: February 2024

In the context of the rapid development of the Internet, the digital economy pattern and the rule game of digital trade are becoming more and more intense. This paper constructs a competitiveness analysis model through the development of digital trade and combines the entropy value method and gray correlation to construct a comprehensive measurement model of the development level of digital trade. Similarly, it utilizes the Tel index as a gauge of the development space difference and develops a global autocorrelation model to examine its influences. An analysis of the positioning of China’s digital trade development trend is performed based on this basis. The average annual growth rate of digital trade development is 0.133, and through the correlation test of regression analysis, the per capita GDP is significant at 5% significance level with a coefficient of 0.0961. while the digital trade export value is significant at 1% significance level with a coefficient of 0.358, however, the degree of openness to the outside world is significant at 1% significance level, but the value is a negative one as −0.1585, which validates that Digital trade is carried by the Internet, and its transaction process is relatively less dependent on the logistics of goods in reality. By measuring the development level of digital trade, it is possible to propose better strategies for strategic development planning.
Analyzing the efficacy of Higher Vocational Online-Offline Blended Teaching using Koch’s Model
Authors: Yang Xingbo
Published: February 2024

With the development of the Internet, the traditional offline teaching mode cannot fully meet the current teaching needs, and mixed-mode teaching with informationization characteristics has received widespread attention. By combining the BTS subjective empowerment method and fuzzy comprehensive evaluation method, this paper creates the BTS-entropy weight-fuzzy comprehensive evaluation model for online and offline hybrid teaching. Based on Koch’s model, the evaluation index system of online blended teaching is constructed from four levels: reaction, learning, behavior, and result. On this basis, the four levels of Koch’s model were empirically analyzed to calculate the online and offline blended teaching effect of the school, taking six majors of School J as an example. The results are as follows: from the point of view of the coefficient of variation of the reaction layer, the coefficient of variation of each index is less than 15%, and the consistency is high. From the learning layer scores, the coefficient of variation of the learning layer indicator scores of each major is 10% < 15% and the coefficient of variation of the behavior layer indicators from each major is 19% > 15%, which indicates that the degree of dispersion of each major in the behavior layer is higher, and the variability of the total scores of each major is larger. The coefficient of variation of the outcome layer indicators is 3.8% <15%. To sum up, Koch’s model can provide more exact assessments of the effectiveness of mixed teaching in higher vocational education and provide effective feedback in real-time.
The Construction of Online Education Quality Evaluation System Based on Intelligent Algorithm
Authors: Xiao Xianfang
Published: February 2024

With the development of the network, online education breaks the defects of time and space, and becomes a way that more and more students choose to learn. This paper combines grey correlation analysis, optimizes BP neural network using PSO particle algorithm, and constructs GRA-PSO-BP model. The initial education evaluation indexes are improved by this intelligent algorithm model to construct an online education quality evaluation system, and then the optimized index system is used as a guide to evaluating the online education quality using this model. The results show that: the dispersion of the data of each index is R
2 = 0.92, which is greater than 0.75, and there is a strong connection between the indexes. The results show that the dispersion of the data of each index is greater than 0.75, and there is a strong connection between the indexes. The 10 colleges and universities scored 3.77, which is a satisfactory grade. The online education quality of these 10 colleges and universities are ranked from high to low as G5, G10, G9, G4, G6, G1, G3, G2, G7 and G8. The intelligent algorithm model and online education quality evaluation index system constructed in this paper can provide help for online education quality evaluation.
Innovation of Marketing Supply Chain Management Model Based on SICAS Modeling
Authors: Mao Rui , Liu Youwei , Yang Yida
Published: February 2024

The marketing service system is not perfect enough to highlight the competitive advantages of enterprises, and improving the marketing supply chain management mode is an inevitable trend under the change of the market economic environment. The marketing supply chain management model proposed in this paper is based on the SICAS model to respond quickly to market and customer demand. A collaborative optimization model of the supply chain based on virtual inventory management is constructed to ensure the normal operation of the whole supply chain by deploying flexible inventory in the hands of customers, and the constructed model is solved by using an evolutionary algorithm based on indexes and an optimal solution sorting method based on regret theory. The feasibility and scientificity of the proposed management model are verified by analyzing the effect of applying the management model to J and S e-commerce companies and analyzing consumer evaluation. The results show that from 2014 to 2022, the purchasing cost of J e-commerce enterprises decreased by 0.0307 as a proportion of operating income, the inventory turnover ratio increased by 0.0869, the marketing cost and logistics cost increased by 189 million yuan and 3,878 million yuan, respectively, and the supply chain cost was effectively managed. At the same time, the consumer evaluation score of the marketing supply chain management model based on SICAS model is 3.608±0.043 points; the user experience is good, to a certain extent, to enhance the competitive advantage of the enterprise.
Financial investment risk analysis and countermeasures research based on CVaR-GARCH model
Authors: Wang Yongsheng , Yu Wanrong
Published: February 2024

In this paper, based on the vector autoregressive algorithm, the conditional value-at-risk algorithm is used to compute the optimal portfolio, and the mean-CVaR model oriented to portfolio optimization is established based on the mean-variance model. To explain the volatility accumulation characteristics of financial asset return series, the autoregressive conditional heteroskedasticity model with CvaR is designed. After the design and optimization of the algorithm are completed, the daily closing price of a commodity futures contract, CSI 300 and the stock situation of different companies, and the daily closing index data of the financial index of a city are collected, and the three major groups of data are tested for the model of this paper. The results show that the maximum value of the CVaR-GARCH model at 95% and 90% confidence levels is generally 4000~6000, which is higher than that of the VaR model alone at 1000~2000. The difference between the actual loss and the loss predicted by the model in this paper is 88.618~279.181. The number of failures at 90% confidence level is 44. The number of failures at 95% confidence level is 31, while the number of failures at 99% confidence level is 1,000~1,000. The number of failures at 99% confidence level is 1,000~1,000. Number of times is 31. At a 99% confidence level, the number of failures is 11. This results in a generalized failure rate of 6.03%. Investors can make program adjustments with more accuracy due to the model in this paper’s ability to predict stock market risk.
Precision Management of Agricultural Products Wholesale Platform Based on Big Data Technology
Authors: Liu Xiaoxiao
Published: February 2024

In today’s big data-driven information technology development, the use of algorithms for platform management to achieve more accurate and efficient user services has become a trend. In this paper, from the two aspects of platform recommendation and route delivery of agricultural products wholesale, combining platform recommendation algorithms and delivery route optimization algorithms, the accurate management of the agricultural products wholesale platform is studied. Taking the dataset collected from the X agricultural products wholesale platform as the experimental sample, it can be seen by comparing the experimental results of this paper’s recommendation algorithm and the traditional collaborative filtering algorithm that this paper’s platform recommendation algorithm is more effective. Among them, the recommendation algorithm based on user similarity performs better than the recommendation algorithm based on user location in terms of accuracy, coverage, and recall, with optimal values of 36.42%, 50.84%, and 17.17%, respectively. Taking the route distribution study of 10 customers on the X agricultural products wholesale platform as an example, comparing the original planned distribution routes and the optimized routes, the total distance of the optimized routes is 84.97km, which is 21.29% less than that of the original planned routes under the condition of meeting the customer’s demand volume, distribution time and truck loading capacity, which verifies the effectiveness of the distribution route optimization algorithm. Effect validation shows that customer stickiness, relationship quality, and conversion cost are significantly correlated with platform recommendations and delivery route optimization.
Innovative Teaching of Japanese Language in Colleges and Universities with the Aid of Natural Language Processing Technology
Authors: Shi Liangliang , He Xiaoting
Published: February 2024

In this paper, the Japanese sentences are processed by using the participle technology for participle and syntactic analysis, on the basis of which different weight values are assigned to different Japanese sentence components, and at the same time, the optimal sentence tree searching calculation method is applied in the process of calculating the maximum semantic conformity of the discourse linkage. According to the results of Japanese sentence segmentation processing, the weights of keywords in the Japanese teaching content are set, the synonyms and near-synonyms of each keyword are found, and the binary tree with weighted paths is used to compute the similarity between Japanese interrogative sentences and Japanese title sentences. Combining natural language processing technology with Japanese language teaching, we develop an assisted Japanese language teaching system based on natural language processing technology and analyze examples of unfolding Japanese language teaching. The results show that on the basis of high-level anxiety level, the average value of Japanese language teaching based on natural language technology are the lowest, and their values are (23.57), followed by medium anxiety group (45.56), low anxiety group (68.45), based on the assisted Japanese language teaching system in order of increasing, which indicates that the lower the anxiety state of the students, the effect of the application of the assisted Japanese language teaching system based on natural language processing technology is The higher the level of anxiety. This study provides theoretical analysis and experimental basis for assisted Japanese language teaching with natural language processing technology, which is of great significance for promoting the development of innovative Japanese language teaching in colleges and universities.
Emotion Appreciation Strategy in College Music Teaching Based on Improved Multimodal RCNN
Authors: Jin Fenglin
Published: February 2024

People’s judgment of music emotion is highly subjective; how to quantify the music emotion characteristics is the key to solving the music emotion recognition problem. This paper utilizes the Fourier transform method to preprocess the input music sample signal. A digital filter accomplishes the pre-emphasis operation, and the number of frames in the music signal is determined by splitting and windowing through a convolution operation. By utilizing the Mel frequency cepstrum coefficient and cochlear frequency, emotional features of music can be extracted. Improve the multimodal model based on the RCNN algorithm, propose the TWC music emotion framework, and construct a music emotion recognition model that incorporates the improved multimodal RCNN. The proposed model’s impact on music emotion appreciation is evaluated through experiments to identify music emotions and an analysis of college music teaching practices that emphasize emotion appreciation. The results show that 1376 songs belonging to the category of “relaxation” are assigned to the category of “healing”, which is only 4 songs short of the target, and the labeling of the songs is not homogeneous, and the emotional recognition of the model is consistent with the cognition. The mean value of the empathy ability of college students in music emotion appreciation is 69.13, which is in the middle-upper level, indicating that the model proposed in this paper has a good effect on the cultivation of students’ music emotion appreciation.
The application of information fusion technology in the cultivation of talents in fine arts majors
Authors: Wang Zuochuan
Published: February 2024

In this paper, we use information fusion technology to describe the problem formalization of art major talent cultivation and obtain the similarity coefficients and probability matrices of art major talent cultivation by calculating the ability level of art majors. On this basis, the art major talent cultivation path is proposed from two aspects: the planning of the art major cultivation path and the recommendation of a personalized art major academic talent cultivation path. The data set is selected, the experimental environment is determined, and the data analysis software is used to analyze the example of the ant colony optimization algorithm-based talent cultivation path planning for fine arts majors and the CNN-based talent cultivation path recommendation for fine arts majors. The results show that the teaching effect of mastering knowledge points is poor, and the duration has a more obvious change (598s), which confirms that the ant colony optimization algorithm can optimize the teaching duration of video knowledge points according to the situation of talent cultivation path of fine arts majors. CNN, in solving the problem of recommending the talent cultivation path of fine arts majors, compares with the genetic algorithm GA (0.662) and the original ant colony algorithm ACO (0.665); the most personalized learning path recommended is not only more suitable for the user’s learning style, but also in line with the actual learning sequence, and thus can help users efficiently achieve their career goals.
Research on the application of virtual reality technology in the teaching of art sketching
Authors: Tan Zongbin
Published: February 2024

In this paper, we use Bayesian model to calculate color probability, train Bayesian classifier using a skin color training set of different gestures, and realize full skin color foreground object segmentation. The rendering of depth texture is established throughout to realize the unified scene rendering of art sketching teaching space and combined with a deep convolutional neural network to realize the interactive operation of virtual reality sketching teaching. Sampled students of T1 and T2 groups of art majors in Q College were analyzed for the acceptance of the virtual teaching scene of art sketching and explored the usability of virtual teaching of art sketching. Analyze and test the application effect of virtual teaching of art sketching from the two aspects of student’s learning motivation and the results of sketching work innovation assessment. The virtual simulation course of art sketching is designed to meet demand innovation by combining the total score of SUS and the application results. Based on the total SUS score of 62.325 for virtual teaching of art sketching, we added expert scoring data in the course design and obtained the difference between student scoring and expert scoring in terms of ease of operation, R42, and smoothness of operation and interaction, R23, which are only 0.01 and 0.06 respectively, which indicates that the virtual simulation course of art sketching should pay more attention to ease of operation and smoothness of operation. It shows that the virtual simulation course for art sketching should pay more attention to the ease of teaching and smoothness of operation and interaction.
Construction of Ideological and Political Education Innovation and Development Platform of Colleges and Universities Based on Big Data Technology under the Concept of Green Ecological Development
Authors: Hao Wenjia , Zeng Honghu , Pan Hongxu
Published: February 2024

This paper combines association rules and collaborative filtering algorithms to build a course recommendation method that considers personalized learning characteristics on the innovative development platform of Civic and Political Education in colleges and universities. The related algorithms in the association rules are used to visualize and analyze the association of the 10 main contents of the Civic and Political courses and give the combination of the contents of the Civic and Political courses. By analyzing the mastery and interest of students on the platform, we push the combination of courses that meet the personalized needs of students according to their knowledge, ability and interest. The constructed personalized teaching platform is used in actual teaching, and the application of association rules in course analysis and personalized push function is analyzed to prove the effectiveness of the platform. The impact of the platform on teaching is evaluated by comparing the students’ performance under platform learning to that under traditional teaching. The results show that the average scores of the Civics course content of group D1 are all above 80, and the significance value of the difference between group D1 and D2 is 4.21% < less than 5%, indicating that there is an obvious achievement difference between the two groups. In the recommended course content of Student 2, the score of the combination course A4 and A7 was 8.2158, and the learning interest rating was 17.326, which was 0.769 higher than the sum of the interest ratings of the two courses alone.
Psychological Needs Analysis of Urban Tall Building Landscape Design Based on Affective Computing
Authors: Qin Wenyong
Published: February 2024

Landscape design is a human-centered service industry, which is bound to be improved according to the psychological needs of users. This paper starts from the graphical emotion dictionary, constructs the dictionary containing a three-part graph structure, calculates the positive and negative probability of the emotional tendency of , and judges the emotional extreme value of the text. According to the emotional extreme value to establish a theoretical model of implicit psychological needs of urban high-rise landscape design, combined with natural language processing and causal inference theory, to identify the causal relationship and psychological needs of the user’s emotional expression obtained, and to utilize the emotional correlation to weight the distance calculation, to ensure the relevance of the sample. Using the constructed emotional calculation model, calculate the psychological needs of users for urban high-rise landscape design, compare the emotional value of the design needs of different high-rise landscapes, and select the landscape design program that best meets the needs of users. Users’ psychological emotional needs are taken into account in the adjustment of their existing landscape design, and the impact of the improved design is evaluated. According to the findings, the landscape lake has the highest degree of aggregation for six psychological behaviors, with a degree of more than 80, and it reaches 93 when walking. Among the 21 subdivided psychological demand elements, only the quality grades of spatial sequence construction, maneuverability, and architectural involvement are other than average and poor, and the remaining 18 of them are all over good, which is a good effect of analyzing the psychological demand of users.
Parametric Modeling Applied to the Construction of a Competency Hierarchy Model for Teaching Early Childhood Gymnastics
Authors: Hao Shengli , Zhao Ling
Published: February 2024

The healthy development of physical quality in the growth process of young children is an important prerequisite for their happy learning, and the effective teaching of gymnastics for young children can realize the effective improvement of young children’s physical quality and various functions. This paper constructs a hierarchical structure model to assess the teaching ability of early childhood gymnastics using the hierarchical analysis method. In order to effectively analyze the degree of influence of each index in the hierarchical structure of gymnastics teaching ability of young children, the quantile regression model under the parametric model is used for verification, and the model parameters are estimated by penalized regression and two-stage regression. Taking the teachers of ten public kindergartens in S city as an example, the relevant influencing factors of the hierarchical structure model of early childhood gymnastics teaching competence were analyzed in depth. The results show that under the τ = 0.5 quartile, instructional design ability has the most significant effect on the hierarchical structure of young children’s gymnastics teaching ability, and its coefficient value fluctuates around 0.45, whereas the degree of influence of teaching research ability teaches and the coefficient estimate fluctuates between [0,0.15]. The ability to teach gymnastics to young children is related to the healthy development of young children’s physical fitness, and early childhood teachers need to strengthen their teaching-related skills with a view to better ensuring the happy growth of young children.
Construction and practical research on the model of college students’ psychology education and training based on PBL theory
Authors: Song Yingjia
Published: February 2024

Improving the mental health of young people is an important task in the construction of spiritual civilization in the new era. The main purpose of this paper is to construct a psychology education and training model for college students that is based on PBL theory. Then, the subjective perception of students under this teaching mode was studied through statistical analysis and significance test, and the impact of psychology education on students’ communication ability, self-efficacy and emotion regulation ability was analyzed based on the analysis. Finally, the regression analysis model was used to test the intervention effect of psychology education on students’ psychological crises and explore the influence factors of each dimension of psychology education. The results showed that the standardized regression coefficients of the dimensions of psychology education and the level of students’ mental health were −0.013, −0.155, −0.34, −0.113, and −0.022, respectively, and the significance test result of the regression equation was F=35.757, P<0.05, which indicated that psychology education had a significant effect on students’ mental health. This study holds great significance in enhancing the quality of school education and establishing a comprehensive and diverse psychology curriculum system in schools.
The application of multivariate data chain network in the design of innovation and entrepreneurship teaching and learning in colleges and universities
Authors: Yan Lijuan , Wang Yanlei
Published: February 2024

At present, although colleges and universities are actively exploring the construction of innovative and entrepreneurial teaching classrooms, they do not have the expected effect in practice. In this paper, based on the compressed perception technology, the complex data in the multivariate data chain network is sparsely represented, and multiple linear subsets in the data matrix are calculated by similarity. Statistical inference is used to generate the recommendation module after describing the encoding of innovation and entrepreneurship information packages in the data. Acquire the characteristics of students’ interest in innovation and entrepreneurial learning, create an interest graph module, and integrate the multi-perspective attention network to overcome the issue of recommendation bias. The analysis of teachers’ competence and students’ learning effectiveness involves the use of empirical testing methods. The results showed that among the 20 teachers, the teacher numbered 11 had a good performance with a competency of 0.8632 on entrepreneurship resources. The students’ 4 dimensions of innovation and entrepreneurship competence improved by more than 2 points, and the standard deviation was within the acceptable range. In the effect of the teaching model application, the mean value of students’ scores after improvement is more than 28. Teachers’ competence and students’ innovation and entrepreneurship ability are improved according to the model constructed in this paper.
Design of Neural Network-based Intelligent Extraction Method for Key Electronic Information
Authors: Wang Boye , Yang Zi
Published: February 2024

At present of rapid development of information technology, it is of great practical significance to extract and analyze electronic information. This paper combines ORB features and an improved convolutional neural network, establishes ORB feature extraction by fast key point extraction and rBRIEF, and also improves the data layer, convolutional layer and loss layer of convolutional neural network to construct the information extraction network model, and images the electronic information to obtain more key information. Taking the forest resources of land M as an example for application research, remote sensing data are collected, and the research is carried out in terms of the dynamic changes of different levels of forest resource information extraction. The results can be obtained that the forests in the middle and eastern parts of Land M have a low degree of depression, with an average diameter at breast height (DBH) of less than 18 cm and a stock volume of less than 100 m3/ha, while in the western part, the degree of depression and the average diameter at breast height (DBH) are higher, and the density of the forest stands in each region is concentrated at 500-1000 plants/ha. The overall forest cover of the land showed an increasing trend from 2016 to 2020. In general, from 2019 to 2020, the area of broadleaf forests, coniferous forests, and non-forested land increased, while the area of bamboo forests decreased. Broadleaf and coniferous forests saw an increase of 14.25% and 3.11% respectively. The area of bamboo forest decreased by 15.42%. The effectiveness of the constructed method for intelligent extraction of key electronic information was verified through application analysis.
Exploring English Translation Strategies Oriented by Big Data Technology
Authors: Fan Jinping
Published: February 2024

English translation is not a simple task, and it needs to be translated on the basis of different languages and cultures in order to get the ideal translation effect and promote cross-cultural communication between different languages. In this paper, with the help of web crawler technology to crawl the Chinese-English translation corpus data, and use the inverse document frequency and dynamic planning ideas to align the corpus data, the Chinese-English translation corpus is established. The LDA model is used to mine subject information in the Chinese-English translation corpus, and edge distribution estimation is used to construct the English translation model. For the application of the translation model and the Chinese-English translation corpus in improving the quality and effect of English translation, the word and sentence features, target word blocks, and the comparison of language features of human-computer translation from the Chinese-English corpus are verified in various aspects. The results show that the class/formant ratio of the source language in the corpus is between 56.73% and 75.84%, its average word length fluctuates in the range of [3.91,5.62], and the target word chunks of the English text are mainly based on nominal and verbal structures. The English translation model has a less significant discrepancy in other language features than human translation, except for the difference of 4.526 between sentence lengths. English translation needs to adopt a reasonable annotation method, semantic conversion, and technical tools to improve the quality of English translation.
Research on Clothing Art Innovation by Integrating Traditional Graphics and Intelligent Design in the Age of Intelligence
Authors: You Lingli
Published: February 2024

With the progress of the times, the aesthetics of the public have gradually become diversified, and clothing art design should also keep pace with the times, and carry out the innovation of clothing art design under the integration of traditional graphics. In this paper, the RGB and HSV values of traditional graphics are extracted by the method of color feature extraction, and each pixel is detected by scanning pixel by pixel, and the color characteristics of the graphics are judged according to the pixel points. The roughness and sharpness of the graphic texture are characterized by the gray symbiotic texture features. Combined with the central moments reflecting the distribution of gray levels in the object area relative to the gray level center of gravity metric, the size, shape, and other details of the image are described with the help of higher-order moments of more than three orders. The main direction of clothing art design innovation is analyzed by integrating different features of traditional images into clothing pattern design. The results show that the RGB values in the color design of sweet style clothing should be similar to (255,192,203), (135,206,250), (0,51,0), the entropy value of the graphic texture in the design of clothing art should be >1, and the degree of regularity should be >0.9, so that the regularity and regularity of the graphic is reflected as much as possible. The shape characterization value Φ6 and Φ7 of the image in clothing art design should be 0 to prevent the deformation caused by image scaling and rotation.
Research on Diversified Diversified Teaching Strategies for Music Courses in Colleges and Universities under the Background of Artificial Intelligence
Authors: Wan Lei
Published: February 2024

This paper proposes a music course resource recommendation algorithm by combining the similarity calculation of music courses with the user interest model. The ID3 algorithm in data mining is used to process the collected music course resource data, combined with the machine learning method to realize the parsing of the music course resource files and build a music course resource-sharing platform for colleges and universities based on artificial intelligence technology. Using the platform data, the correlation analysis of the factors affecting the learning effectiveness of music courses in colleges and universities was conducted, and the impact of the number of exercises on the learning effectiveness of music courses was explored. Ten colleges and universities in Guangdong Province were selected to conduct descriptive analyses of college music curriculum resources and music education teaching effectiveness based on the results of music curriculum resources development and utilization, respectively. The results show that the mean values of the dimensions of curriculum resources, text resources, and environmental resources of music education in Guangdong Province are close to the theoretical median, in which the minimum value of human resources is 1.24, the maximum value is 4.27, and the mean value is 2.765. The human resources situation is not good. Diversified teaching should focus on strengthening the human resource component, to improve the teaching effectiveness of music course resources in colleges and universities.
Combined with the Internet technology of college student training mode innovation and student management mechanism optimization
Authors: Yang Xiaolan , Zeng Xinyong
Published: February 2024

Based on the current situation of student cultivation mode and student management in colleges and universities, this paper puts forward six basic assumptions on student cultivation and management, and combines the assumptions to obtain the game payment matrix of student cultivation mode and student management. The dynamic equations of the cultivation and management process are reproduced by using mathematical calculus to derive the game payment matrix. Under the constraints, the game evolution model equilibrium point is tested for stability, the game evolution state is derived, and the game evolution model is completed to optimize the innovation of college student training mode and student management mechanism. Numerical simulation analysis is performed on the evolutionary game of college student cultivation and management based on the parameter settings of the evolutionary game model. The results show that the evolutionary game model will converge to a stable strategy point when the ratio of managers (teachers) and students’ initial participation in cultivation and management activities is set to (0.05, 0.95), (0.05, 0.05), (0.95, 0.05) or (0.95, 0.95). This study has a beneficial impact on cultivating exceptional talents, and it also provides a solid resource for society to deliver top-notch talent.
Research on the Path of Enhancing Students’ Political Identity in Teaching Ethics and Rule of Law in the Information Age
Authors: Zhang Jia , Bian Kaihong
Published: February 2024

Political identity directly affects the implementation of the nurturing function of politics and the enhancement of the teaching effect, this paper proposes a path to enhance students’ political identity in the teaching of Daofa based on the multimodal fusion model. The TF-IDF method is utilized to identify political emotions contained in students’ classroom expressions, and LBP is used to extract students’ facial expression features. Based on the above-extracted results, a multimodal feature learner emotion data model is designed, which is also combined with a deep RNN model to identify and analyze students’ learning behaviors in the actual Daofa classroom. Evaluating students’ political identity from five dimensions, the results show that all students have significant differences in the five dimensions, P<0.05, and their political identity is above 60, of which the highest political identity in the fourth year of college reaches 78.586. Among the states of political identity, the state of maturity type has the highest frequency of occurrence, which is 132 times. The results of the study provide data support for improving students’ political identity.
Enterprise Industrial Structure Transformation and Upgrading and Regional Innovation Capability Enhancement Strategies - An Empirical Analysis Based on VAR Models
Authors: Cui Hongkai
Published: February 2024

The transformation and upgrading of enterprise industrial structure and regional innovation ability are the concerns of social development in recent years. This paper introduces the global entropy method and VAR model to construct the indicators of enterprises’ industrial structure transformation and upgrading and regional innovation ability with the enterprises in X place as samples. The development level is measured through weight calculation and comprehensive evaluation, and after the smoothness test, the impulse response function and variance decomposition are applied to study the dynamic relationship between the two variables, to research the transformation and upgrading of enterprise industrial structure and the enhancement of regional innovation capacity. The study shows that the level of industrial structure transformation and upgrading of enterprises in the cities of X place has increased steadily from 2016 to 2020 as a whole, but only the level of the eastern cities is all over 0.3, which still needs to be further improved. Through the variance decomposition, the variance contribution rate of changes in regional innovation capacity to changes in the transformation and upgrading of enterprise industrial structure increases from 13% to 26.16%, and the variance contribution rate of changes in the transformation and upgrading of enterprise industrial structure to changes in regional innovation capacity decreases from 99.14% to 74.42%. The level of transformation and upgrading of the enterprise industrial structure can be improved to continuously promote the enhancement of regional innovation capacity and further promote the construction and development of the city.
Research on the coupling and coordination index of green finance and high-quality economic development based on matrix modeling
Authors: Hao Yao
Published: February 2024

The traditional way to calculate the coupling index of green finance and high-quality economic development has the problems of ignoring spatial spillover effects and regional heterogeneity. Based on the spatial measurement matrix, this paper calculates the coupling index of the two. Firstly, the index system is established according to the characteristics of green finance and high-quality economic development, then the entropy weight method is used to calculate the weight, combined with the Moran index to calculate the regional differences, and finally, the spatial measurement matrix is used to derive the final results. After the model was established, data on China’s green finance and high-quality economic development from 2016 to 2022 were collected as samples, and the coupling analysis was launched and tested using Granger causality. The calculation results show that Shanghai has the highest level of high-quality economic development from 2016 to 2022, steadily increasing from 0.635 to 0.819 in 2022. The global Moran index has been maintaining a level of 5% for all years. The LR index of SDM/SEM is 51.39. The coupling index of the measure of green finance is 0.1395, and the coupling index of the level of high-quality economic development is 0.1873. The Granger causality assumption chi-square for the uncorrelation of the two is 6.382 and 3.085, respectively, with p-values of 0.004 and 0.091. There is a correlation between them that is positive.