bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Online Interactive Teaching Platform of College English Combined with Semantic Association Network Modeling
Authors: Wu Fengqin
Published: June 2024

The emergence of semantic association networks has injected a new impetus for the development of online English teaching and provided a new model reference for the design of online education platforms. In this paper, the research and design of an online interactive teaching platform for college English draws on the algorithmic advantages of the semantic associative network model and utilizes the self-operation of the semantic associative network to realize the functions of autonomous addition, deletion, modification, and checking. The text semantic similarity is predicted by word embedding model, convolutional neural network, and other algorithms so as to better achieve the integration of teaching resources, connecting English knowledge and highlighting the teaching focus in the online teaching process of college English. Dynamic load balancing algorithms are used to solve the problems of short-term surges in the number of visits and the concentration of call requests, and the optimization of load balancing algorithms is further realized through genetic algorithms to finally complete the design of the online teaching interactive platform. Comparison experiments concluded that the semantic association network proposed in this paper could hold a more stable repair effect when cleaning inconsistent data in the dataset, highlighting the effectiveness of the semantic association network model in this paper. The online interactive teaching platform designed in this paper also performs well in the performance test, with only a 0.01% abnormality rate in the concurrency performance test, and the load balancing ability test also achieves the expected effect.
Research on the method of fine-tuning teaching quality improvement in higher education under digital empowerment
Authors: Xia Xiaotian
Published: June 2024

With the rapid development of information technology, digital technology is also continuously applied to the teaching of higher education, and colleges and universities more and more emphasize the application of intelligent teaching guidance systems. A feature-weighted Bayesian algorithm is constructed in this study by assigning different weights to each attribute depending on its influence on the Bayesian classification results. On this basis, combined with the error-reversing BP neural network algorithm, it realizes refined intelligent instruction and develops an intelligent instruction system for higher education based on the ternary model. The transaction success rate reaches 98% when the number of concurrent users is below 4000, and the transaction success rate is 90% at 8000, and the system has good stability. The average classification accuracy of FWNB algorithm in this paper is 84.95%, which is larger than SWNB and HCWNB, and the average classification time is 3.17s, which is smaller than SWNB and HCWNB. The FWNB classifier achieves high classification accuracy at a low computational cost. The system in this paper can better mobilize learners’ enthusiasm, drive learners to study diligently and inspire learners to improve their learning ability, which leads to improved teaching quality.
Construction and Evaluation of KPI Performance Appraisal Model in Personnel Management System of Higher Vocational Colleges and Universities
Authors: Zhao Nan , Su Hui , Wang Bing , Liu Ran , Yang Qin , Huang Tengjiao , Wu Xiaolong
Published: June 2024

In recent years, enhancing the overall instructional quality in higher vocational colleges and universities through robust performance management has emerged as a pivotal concern in educational discourse. This study delves into the challenges inherent in the existing personnel performance appraisal systems within these institutions, employing both questionnaires and interviews for data collection. To address issues such as the vague delineation of appraisal objectives and the diffuse focus of evaluations, we propose the development of a Balanced Scorecard (BSC) model tailored for assessing faculty performance. This model integrates the four dimensions of finance, customer satisfaction, internal processes, and learning and growth, establishing causal linkages among them. The appropriateness of performance indicators for faculty evaluation is subsequently quantified using the fuzzy comprehensive evaluation method. Experimental validation reveals that the prevalent appraisal systems suffer from indistinct objectives and a lack of clear focus, with 41.1% of respondents indicating that the performance appraisal index system for counselors is suboptimal. Consequently, this research underscores the significant role that the construction of KPI-based performance appraisal models plays in refining personnel management practices within higher vocational colleges and universities.
Identification of traditional settlement landscape areas in Hainan based on unmanned aerial remote sensing imagery
Authors: Xu Minghui , Chen Zhanchuan
Published: June 2024

To enhance the accuracy of recognizing traditional settlement landscapes in Hainan, this study introduces a landscape recognition model predicated on a full convolutional neural network (FCN). The research delineates the selection of specific types and sensors for Unmanned Aerial Vehicles (UAVs), employing UAV remote sensing technology to capture image data of Hainan's traditional settlement landscapes. The collected initial image data, laden with interference information, underwent a preprocessing step. On this foundation, the landscape recognition model for Hainan's traditional settlements was developed utilizing the FCN. The empirical results derived from deploying the model reveal the presence of ancient buildings within a 400-meter radius of the principal river. Notably, these structures predominantly span a distance ranging from 100 to 350 meters. The spatial distribution pattern of these ancient edifices notably centers around the Zong ancestral hall. Furthermore, when compared to other benchmark models, the proposed FCN model exhibits superior performance in recognizing forest, grassland, and farmland within the Hainan settlement landscape, achieving average recognition rates of 88.66% and 84.91%, respectively. This investigation underscores the significant potential for applying UAV remote sensing technology in identifying traditional settlement landscapes. It provides pivotal technical support and a reference point for the survey of forest resources and ecological monitoring, thereby enhancing the applicability and dissemination of UAV technology in landscape recognition tasks.
Human resource management and artificial intelligence integration development and innovation
Authors: Yu Yang
Published: June 2024

Artificial Intelligence is one of the important tools to realize the effective management of human resources. The article firstly investigates and finds out the problems of the current salary satisfaction status of the employees of column A of a news center, designs the job salary prediction model based on a collaborative filtering algorithm and the separation prediction model based on standard Logistic regression based on the results of the questionnaire, and finally calculates the economic benefits of the employees of column A of the news center. The performance bonus of column A of the news center in 2019 showed a steady upward trend as a whole, with 107,908 yuan in January and 198,320 yuan in December. The market value of column A of the news center increased steadily in 2020, reaching 171,134 yuan in January and 230,370 yuan in December. In 2021, the performance bonus of column A of the news center in January ~ June has not changed much, which is 112,099 yuan in January and 122,076 yuan in June. It can be concluded that the salary prediction model proposed in this paper has high accuracy in predicting the performance bonus of the news center A column, and the market value shows an increasing trend year by year. It can be seen from the analysis of the economic benefits of the news center A column after operating the salary and separation prediction model proposed in this paper the financial benefits after performance management have been changed for the better.
Literature and art integration education: A Study on the Integration of Teaching Resources in Colleges and Universities in the Context of “Five Educational Programs”
Authors: Dong Fangfang , Shen Yandong
Published: June 2024

The “five education” is a new way of thinking and a new paradigm of educational practice in the new era. After analyzing the integrated teaching practice model in the context of “five education” from multiple dimensions, the study establishes a teaching resources integration index system based on the CIPP evaluation model in terms of background, input, process, and result. Taking the integration of teaching resources in the College of Fine Arts and College of Literature of a university in Xinjiang as the research object, analyze the integration measurement of teaching resources and the influencing factors of teachers’ teaching ability. The results show that the teaching management process is the greatest contributor to the integration of teaching resources (0.251). The integration of teaching resources in the sample universities is at a good level (3.811), and their faculty management and teaching process management are excellent. The positive and significant influence of teachers’ teaching cognitive ability, teaching practical ability, and teaching monitoring ability and their dimensions on teachers’ teaching ability was verified (p < 0.05), and the degree of influence was moderate. This paper discusses the integration of teaching resources in the context of “five education”, which can help to promote deep change in classroom teaching and build a high-quality education system.
A Theoretical Study on College English Reading Teaching Based on SOLO Classification Theory
Authors: Fang Jing , Zeng Wenli
Published: June 2024

College English reading instruction represents a crucial component in enhancing students’ overall linguistic competencies. The advent of cognitive psychology has facilitated the application of the SOLO categorization theory as a novel approach to augmenting students’ proficiency in English reading. This study devises a teaching model tailored to college English reading based on the SOLO categorization theory and implements a systematic research design to evaluate its effectiveness. The efficacy of this model is assessed by comparing the changes in English reading learning attitudes, scores, and capabilities between an experimental group and a control group, using pre-and post-test results. The findings indicate that the mean difference in the English reading learning attitudes between the two groups expanded from 0.09 at the pre-test stage to 0.54 at the post-test stage. Moreover, the experimental group exhibited a substantially greater increase in English reading scores, with an improvement of 14.16, compared to 3.68 in the control group. In terms of English reading abilities, the experimental group outperformed the control group across four dimensions, with increases of 2.86, 1.04, 1.76, and 3.28, respectively. Overall, the university English reading teaching model grounded in SOLO classification theory significantly enhances students’ attitudes towards English reading and effectively boosts their reading achievements and capabilities.
Research on the Path of Integrating Chinese Traditional Culture in Civic and Political Education in Colleges and Universities Toward the Implicit Logic Construction of Emotional Identity Enhancement
Authors: Fang Shu
Published: June 2024

Chinese traditional culture, as an important part of enhancing cultural self-confidence, needs to be further integrated into the existing ideological education of colleges and universities in order to improve students’ cultural self-confidence. This paper centers on the research of the excellent Chinese traditional cultural identity of contemporary college students, supported by multidisciplinary theoretical knowledge. It constructs a Chinese outstanding conventional culture identity system through the entropy power method and hierarchical analysis method. After that, the questionnaire survey method is used to collect data to statistically analyze the content, the mathematical statistics method is used to verify the results, and the logical analysis method is used to construct the specific framework of the article, which demonstrates the influence of the integration of Chinese traditional culture into the teaching of ideology and politics in colleges and universities on students’ cultural self-confidence and emotional identity. The empirical analysis shows that in the 1087 sample Chinese traditional culture Civics courses, the average score of cultural self-confidence of the sample college students is 3.8406, and the average score of cultural identity is 3.6766. Through learning and experiencing Chinese traditional culture, college students deepen their recognition of the integration of Chinese traditional culture into ideological and political courses and enhance their cultural self-confidence and emotional identity.
Ideal Sequence Couple Design for Split Circle Classes with Different Cycle Lengths
Authors: Lin Liying , Zheng Luliang
Published: June 2024

The split-circle class and the generalized split-circle class are commonly utilized mathematical tools in sequence design. They have been extensively applied in the study of construction methods for almost different set couples and ideal sequence couples. In this paper, on the basis of sequence couplings and difference set couplings, the finite field, and Chinese remainder theorem are utilized to combine computers to carry out the design of the generalized subcircle class construction algorithm, and based on this algorithm, the search algorithm for sequence couplings is designed. In addition, based on the theory of fractional circle classes and fractional circle numbers, the article integrates the equivalence relations between difference families and ideal balanced binary almost complementary pairs. Then, it obtains the ideal sequence even construction method based on fractional circle classes. For the effectiveness of the sequence couple search algorithm, a search experiment is set up with a binary sequence couple as an example. Its efficiency is analyzed in comparison with that based on the difference table and the bit operation, and an example of the ideal sequence couple construction under different cycle lengths is analyzed based on the construction method. The search algorithm combined with the generalized fractional circle class can obtain the data sequences of optimal binary sequence couple pairs, pseudo-random binary sequence couples, and ideal three-valued autocorrelated binary sequence couples. The average computational efficiency of the algorithm is within 13ms and 3 when both s ≡ 1 (mod 4) and s ≡ 3 (mod 4), and the parameters of the binary and quadratic periodic ideal sequence couples obtained by the algorithm meet the parameters of (10,2,5)LACSP
3
4 when Z takes the value of 2 or R

x
1
(γ) = –1 + 2t, respectively. Carrying out the construction of perfect sequence couples under different cycle lengths with the generalized fractional circle class the construction of ideal sequence couplings with varying lengths of cycle in the generalized fractional circle class can obtain a variety of forms of sequence coupling data, which enhances the application range of ideal sequence couplings.
Research on the Enhancement Path of Physical Education Teaching in Colleges and Universities under Artificial Intelligence Technology
Authors: Luo Yanping , Luo Lingping , Luo Danping
Published: June 2024

Smart sports teaching is regarded as a new type of education mode, aiming to improve the quality and effect of sports teaching through the use of artificial intelligence technology. The article first combined the opportunities for digital transformation of college sports teaching given by AI technology, combined the application scenarios of AI technology to innovative college sports teaching, and established a smart sports teaching platform with smart IoT architecture. The OpenPose algorithm is utilized to extract the key points of the skeletal movements of sports teaching, and the optimal matching planning is carried out by the DTW algorithm combined with the ICP algorithm for the movement postures of sports. For the effectiveness of the algorithm, corresponding identification verification experiments were designed, and teaching comparison experiments were created on the intelligent sports teaching platform. The OpenPose algorithm spent only 0.284s in acquiring the skeletal key points of sports, and the average success rate of matching the movement postures of sports was 89.75%. There was a maximum difference of 10.81 points in the stage movement assessment between students of class A and class B, and the negative interest of students of class A in physical education was reduced by 40.97%. Negative interest decreased by 40.97%. Relying on the intelligent sports teaching platform and combining artificial intelligence technology to technologically upgrade sports teaching in colleges and universities provides a new path to enhance the quality of sports teaching in colleges and universities.
Analysis of the Professional Development Mode of Higher Vocational Pre-school Education Teachers Based on “Internet + Education”
Authors: Luo Yuenian
Published: June 2024

Under the influence of the Internet + education, teaching methods are obviously diversified, which lays a good foundation for the improvement of teaching quality and efficiency, teaching development, and so on. This paper takes the professional development needs of preschool education teachers as the orientation and establishes the professional development mode of “external scintillation + internal molding” in combination with “Internet + education”. Taking the teachers of preschool education majors in higher vocational colleges in Province Y as the research object, we designed a questionnaire to obtain the relevant data, estimated the parameters of the structural equation model by partial least squares method, and established the PLS-SEM model by combining with the needs of teachers’ professional development. The demographic variables were analyzed for the current situation of teachers’ professional development in senior preschool education, and the influencing factors of teachers’ professional development and their mediating effects were verified in terms of internal factors and external factors. There is no significant difference in teachers’ professional development in terms of gender, and the older the age, the stronger the professional development abilities are. The professional development scores of teachers of different senior preschool education majors are all above 4.1, and the external factors possess a strong mediating effect on teachers’ professional development ability through the internal factors, with a confidence interval of [0.217, 0.735]. Higher-level preschool education needs to focus on teachers’ technical training in order to improve their professional development ability and provide more professional teaching talents for the cause of early childhood education.
Research on the ascending path of traditional media’s intelligent transformation based on multivariate statistical analysis
Authors: Lyu Xinli
Published: June 2024

Under the background of the new technological revolution and the rise of new media, traditional media try to innovate the media form, update the internal resource structure, enhance the ability of environmental adaptation, and then reshape their competitive advantages through intelligent transformation. In this paper, we comprehensively use factor analysis, cluster analysis, case study, and other methods in multivariate statistical analysis to conduct systematic research according to the ascending path of “the reasons for the continuous decline in the competitive advantage of traditional media → intelligent transformation strategy of traditional media → intelligent transformation to reshape the competitive advantage of traditional media”. Using factor analysis, we aim to obtain the minimum variance estimation of all residuals to construct a model that empirically analyzes the mechanism of intelligent transformation to reshape the competitive advantage of traditional media. The results of the study show that there is a complex group relationship between intelligence maturity, resource base, dynamic capability, resource orchestration capability, and the competitive performance of traditional media, and the consistency and overall consistency of the four conditional groupings are greater than the critical value of 0.80, and explain 58.7% of the cases. It indicates that intelligence maturity, resource base, dynamic capability, and resource orchestration capability constitute the competitive advantages of traditional media’s intelligent transformation and drive traditional media’s business development.
Construction and Evaluation of College English Translation Teaching Model Based on Multimodal Integration
Authors: Ma Fei
Published: June 2024

Amidst the swift advancements in multimedia technology and artificial intelligence, the exploration and deployment of intelligent educational technologies that leverage deep learning and neural networks have intensified. This study introduces an innovative automatic student behavior recognition model tailored for college English translation classrooms. Utilizing Multimodal Fusion, the model employs a Histogram of Oriented Gradients (HOG) to capture the facial expression modality and Mel Frequency Cepstral Coefficients (MFCCs) to discern the linguistic modality of students. Through Linear Discriminant Analysis, the model effectively reduces the dimensionality of multimodal data, facilitating the integration of both modalities for enhanced feature fusion and decision-making processes. Following the acquisition of multimodal emotion recognition data, students evaluate the recognized emotion values, enabling the calibration of an emotion scale. This scale serves to align specific learning emotions with corresponding learning states, providing a framework to assess students’ engagement levels. A notable improvement was observed over four weeks, with the average incidence of students classified under a “positive” learning state escalating from 9.5 to 26.7. This significant rise underscores the increasing engagement and interaction within the college English translation classroom, facilitated by the Multimodal Fusion model. It illustrates the enhanced convenience for educators in managing classroom dynamics.
Silk Road Concerto: Spatial Narratives of Architectural Cultural Heritage and Linguistic Landscapes in Xinjiang
Authors: Shen Yandong , Dong Fangfang
Published: June 2024

The Silk Road is another important international trade route emerging in Eurasia, and Xinjiang, as an important node of the Silk Road, is of great significance in effectively sorting out and studying the architectural cultural heritage of Xinjiang. This paper tries to introduce the concept of spatial grouping in the exploration of the conservation method of Xinjiang’s architectural and cultural heritage and deeply excavate the spatial grouping relationship between each heritage point from the spatial perspective. It combines the quantitative analysis method of space syntax and topological calculation to provide a novel method and thought for studying the spatial narrative of architectural cultural heritage and its linguistic landscape in Xinjiang. The architectural cultures of Marathi Grassland, Sayram Lake, and Kanas Lake in Xinjiang Uygur Autonomous Region are selected as the research objects, and the linguistic landscapes are divided into two dimensions of official and private linguistic landscapes for specific analysis. In the evaluation of the spatial perception of cultural architecture in Xinjiang, the weight of the permeability factor consisting of four dimensions, namely width, size, dynamics, and enclosure, is 0.6579, which verifies the feasibility of quantitative research and provides a supplement based on subjective visual perception. It is also found that both the official and private language landscapes have the national common language as the dominant language, and the language landscapes of instructional function, behavioral regulation function, and cognitive function have a larger proportion. In contrast, the other languages provide convenience for foreign tourists to a certain extent.
Discussion on the development of sports industry in China based on the perspective of “low carbon economy”
Authors: Wu Bo
Published: June 2024

Low-carbon economy is an important part of national strategic objectives, which not only refers to an ecological and environmental economic model but also is the main direction for the development of the sports industry. Based on the characteristics and components of the low carbon economy, this paper utilizes the environmental Kuznets curve and decoupling theory to set the goal of low carbon economy development in the sports industry and explore the influence mechanism of low carbon economy on the structural development of the sports industry. Starting from the perspective of the development of the sports industry structure, a multi-period double-difference model is designed to calculate the net effect of a low-carbon economy on the sports industry structure. The relationship between the low carbon economy and the structural change of the sports industry is visualized using non-linear fitting and partial derivatives. The evaluation model of sports industry development capacity is constructed to evaluate the development of the sports industry from two perspectives: economic performance and economic value added. The experimental results show that the impact of a low carbon economy on the structure of the sports industry is divided into three stages, namely, coefficient value <0.15, coefficient value in [0.15, 0.25), and coefficient value ≤0.25. The low-carbon economy has a marginal positive effect on the sports industry in the second stage. The calculation of EVA value shows that the EVA value of the subject sports enterprises is greater than 0 from 2017 to 2023, which indicates that the sports industry realizes value creation along with the development of the low-carbon economy.
Path Analysis of Innovative Models of Higher Education Management and Student Cultivation Mechanisms in the Internet Era
Authors: Wu Haisheng
Published: June 2024

In the context of the Internet era, the cultivation of innovative talents is not only the core work of the educational management of colleges and universities but also the essence of the optimization of the educational management path of colleges and universities. Based on this paper for the reform and development path of college education management to think, explore the intrinsic correlation between the two, and, from the perspective of innovative student training, put forward the higher education management reform strategy. Combining the SMO algorithm and SVM-light algorithm, we developed a Lib-SVM-based evaluation model for higher education management mechanisms, applied the PSO algorithm to allocate higher education resources, and made intelligent decisions on higher education management. The hierarchical analysis method and fuzzy analysis method are used in turn to determine the content of higher education student training evaluation and to calculate and analyze related data. The overall satisfaction of students with the higher education management strategy proposed in this paper is 4.449, and there is a significant difference between innovative and traditional student cultivation modes, t=32.4847, p<0.01. Innovative student cultivation methods are rated higher. In the evaluation of student training quality, the total level factor evaluation result is 79.08, which is in the middle range. The practical effect of higher education management and student training paths proposed in this paper is good.
The development path of micro-course concept and university music education mode under the background of “Internet+”
Authors: Xiu Xueqing
Published: June 2024

This study integrates the microcourse concept into the realm of university music education, leveraging the benefits of microcourses tailored specifically for this discipline. It introduces a problem-solving-oriented teaching model for university music microcourses. The paper delves into the unique attributes of music education microcourse resources and addresses the need for sharing these resources across universities. To this end, it advocates the use of the PBFT consensus algorithm, supplemented by enhancements to the algorithm itself, in conjunction with data security storage technologies to bolster the protection of educational resources in university music micro-courses. Furthermore, the research evaluates the effectiveness of the microcourse model in university music education by examining the independent learning capabilities and problem-solving skills of the learners. The analysis focuses on the impact of learning behaviors on the outcomes under the microcourse framework. The dimensions of learners’ independent learning ability are assessed in terms of implementation and adjustment, goal-setting and planning, and application and reflection. The findings reveal mean values of 3.9865±0.68024, 3.7696±0.68595, and 3.6508±0.60124 for these dimensions, respectively. Notably, the dimension of implementation and adjustment scored the highest, indicating that learners are capable of timely adjustments to their learning status in alignment with their educational goals and plans. The study concludes that support from music education micro-courses significantly enhances learners’ independence in learning, and the synergistic effect of this model presents distinct advantages.
Visualization Challenges of Virtual Reality 3D Images in New Media Environments
Authors: Sun Yige , Zhang Zixuan , Yan Nan
Published: June 2024

This paper proposes a three-dimensional image visualization process to face-drawing three-dimensional image reconstruction algorithm to obtain the data field with three-dimensional space, using color adjustment based on global color correction and local Poisson fusion to optimize the splicing seams between the texture color blocks and updating the visualization technology of three-dimensional images. Divide the digital display design and create a virtual reality visualization display using 3D modeling in combination with the new media environment. Propose design steps to visualize virtual reality three-dimensional images in the new media environment by combining the key algorithms of three-dimensional image visualization from the previous section. Combined with the application of new media displaying 3D images, the concept of artifact shape in reconstructed images is proposed to analyze the quality of 3D image reconstruction by taking the Herman model and Sheep-Logan model as the research object. Test experiments are conducted to examine the visual impact of texture mapping algorithms, and different sampling intervals are set to measure the drawing time of 3D reconstruction. For the data size and number of pictures of other organizations, the processing time of the 3D image reconstruction algorithm based on surface drawing is no more than 2s. The denser the sampling points are, the higher the degree of fitting, the more complete the preservation of isosurface information is, the finer the effect of 3D reconstruction, and the higher the quality of the image.
Modern Translation of Rural Traditional Culture Led by Digital Art
Authors: Yan Chang
Published: June 2024

As digital technology continues to evolve, the fusion of traditional cultural heritage with digital media art design has emerged as a crucial demand and innovative mode of expression. Within the context of digital art leadership, this study delves into the contemporary reinterpretation of traditional rural culture. By examining how rural traditional culture is portrayed under the guidance of digital art, we use the digital culture museum—which embodies both digital and rural traditional cultures—as a case study. A specifically designed questionnaire was employed to assess the effectiveness of this modern reinterpretation. Subsequently, key indicators influencing the efficacy of the contemporary translation of rural traditional culture were identified. The fuzzy set qualitative comparative analysis was utilized to conduct group analyses, aiming to delineate the pathways that could enhance the contemporary reinterpretation of rural traditional culture. The findings reveal that rural traditional culture, under the stewardship of digital art, achieves a more effective modern reinterpretation. Notably, over 85% of respondents exhibited a positive response to the amalgamation of digital art with traditional culture in museums, expressing a preference to engage with traditional cultural content through this medium. The analysis of pathways to enhance the modern translation of rural traditional culture showed overall consistency and coverage rates of 0.921 and 0.695, respectively. The integration of tradition with modernity, alongside enhanced interactivity and participation, are identified as pivotal elements in augmenting the modern reinterpretation of rural traditional culture.
Virtual Reality-Based Multi-Sensory Design of Chinese Gardens under the Perspective of Spatial Narrative
Authors: Zhou Hanhan
Published: June 2024

This paper makes comprehensive use of virtual reality, virtual plants, and other technologies, integrates parametric plants and buildings and other modeling methods, and flexibly manages and organizes all kinds of garden elements through digital vector layers. Based on the OSG graphic rendering engine, it visualizes all sorts of 3D garden landscape models. Combining multi-sensory expressions, the parameter-driven multi-sensory design of virtual Chinese gardens is comprehensively constructed. The findings indicate that the scheme with decentralized placement on both sides has a receding time of 312s, and the area of human flow density has been enhanced. In the soundscape design, the birdsong sound was favored more, and the mean value of the birdsong sound scores in the botanical garden, plaza, and stream was 4.43. The Sig values of experiential, realism, interactivity, and content richness between Group A and Group B were all less than 0.05. Therefore, this paper successfully designs and realizes multisensory interactions between people and the garden scenario design.
Exploring the Value Connotation and Path of Sino-Japanese Marine Literature Development under the Background of Internet+Interculturalism
Authors: Zhang Yong , Wang Zhen
Published: June 2024

Marine literature, as a reflection of the evolving maritime culture, has experienced a rising trajectory of scholarly interest in recent years. This study delves into the intrinsic ties and foundational mechanisms underpinning the evolution of marine literature within China and Japan, advocating a developmental pathway akin to an industrial cluster for this literary genre. Utilizing a meticulously constructed input-output table for the marine literature industry, this paper conducts a comparative horizontal analysis of the sector’s growth across six coastal cities in China and Japan for the year 2023. The study encompasses three primary dimensions: correlation effects, supply-push effects, and demand-pull effects. The empirical findings underscore the developmental value of marine literature in both nations. Notably, the development potential index for China’s marine literature industry stands at 26.36, surpassing Japan’s by 13.88, with the variance largely attributable to differences in the marine economic and social environments. This comparative analysis not only highlights potential growth avenues for China’s marine literature but also offers fresh insights into the cultural disparities between China and Japan.
A Study on Data-Driven Cluster Analysis of Teaching Quality in Civic and Political Education in Colleges and Universities
Authors: Wu Xiaoying
Published: June 2024

The implementation of teaching quality evaluation has a certain guiding effect on a series of teaching works, such as teaching reform and teaching management, and the selection of appropriate evaluation methods is very important for the implementation of teaching quality evaluation. In this study, the hierarchical analysis method and K-means clustering algorithm were used to construct and assess a teaching quality evaluation model for college Civics education. Prior to evaluating the teaching quality of Civic and political education in colleges and universities, the hierarchical structure model and index system were established using the hierarchical analysis method. Then, the K-means clustering algorithm is utilized to execute the data mining work to assess the quality of data-driven teaching through clustering. The algorithm’s purity and F1 values are 0.895 and 0.834, respectively, and it performs well in clustering. Finally, the clustering analysis of the teaching quality of college civic education was conducted. The final scores of teaching quality, teaching method, teaching content, teaching effect, and teaching characteristics accounted for 98.28%, 87.76%, 88.03%, 71.4%, and 83.2% of the total scores of each, respectively. All the scores are in the middle of the range, indicating that the overall teaching situation is in the middle of the range with better results. The purpose of this study is to provide lessons and references for cluster analysis of civic education teaching quality in colleges and universities.
Promoting the transformation of agricultural supply chain management under the development of digital economy in the Internet era
Authors: Wang Xueliang , Qin Xi
Published: June 2024

Agricultural products, as the necessities of people’s daily consumption, are related to the national economy and people’s livelihood, and the development of information technology provides a new direction and ideas for the transformation of agricultural products supply chain management. The article proposes the risk assessment method for the agricultural products supply chain based on the Bayesian network inference algorithm and OWA algorithm, firstly constructs the Bayesian network model for risk assessment of agricultural products supply chain, elaborates on the belief updating algorithm and the belief-free updating algorithm in the Bayesian network, then combines with the OWA operator, proposes the method of risk diagnosis of agricultural products supply chain based on the Bayes-OWA hybrid operator, and with this The algorithm is the core of the proposed agricultural supply chain management strategy. Through empirical tests, it can be obtained that the average supply time of enterprise 4 in agricultural products is 22.3 days, and the reliability of supply is 92.3%, which is highly efficient. In the agricultural products supply program, the average value of quality qualification rate has been improved by 2.67%, the average number of days for supplier delivery has been shortened by 13 days, and the supplier’s ability to respond quickly to demand has been improved by 3.61%. Therefore, actively constructing the informationization construction of the agricultural supply chain, building a logistics information platform, improving rural communication facilities, and providing timely market information to farmers can better ensure the efficient operation of the agricultural supply chain.
Gray correlation analysis of ideological and political education and college students’ ideological dynamics in new era colleges and universities
Authors: Kang Fei
Published: June 2024

This study employs gray correlation analysis to process and evaluate the data pertaining to the effectiveness of ideological and political education in higher education institutions. Comparative analyses were conducted between experimental and control groups, utilizing group counseling to foster positive mental qualities. The data collected before and after the educational interventions were subjected to statistical analysis. The findings indicate significant variations in learning outcomes across different dimensions for certain student groups, offering educators a foundation for targeted interventions. Furthermore, the results from the positive psychological quality education experiment reveal that the experimental group exhibited a notable enhancement in positive psychological qualities post-intervention compared to the control group. Specifically, there was a substantial increase in the attributes of love, tolerance, perseverance, faith, and hope. For instance, the score for love in the experimental group improved from 2.45 to 3.36, an increase of 0.91, with the most pronounced growth observed in the qualities of faith and hope, which increased by 1.16. The application of gray correlation analysis in this context demonstrates its utility in assessing the effectiveness of ideological and political education, allowing for the refinement of educational focus and methodologies to enhance overall academic outcomes. This research provides pivotal strategies and directions for collegiate education, aiming to nurture a larger cohort of students equipped with positive psychological qualities and preparing them for successful future endeavors.
Research on the Formation Mechanism, Contagion Effect and Regulatory Strategy of Digital Asset Price Bubble Risk in the Information Age
Authors: Ku Xiangfang
Published: June 2024

As an emerging financial instrument, the risk of asset price bubbles is becoming more and more prominent and has a far-reaching impact on the global financial market. Based on the ADF model and PSY algorithm, the study constructs an asset price bubble identification model, explores the formation mechanism of asset price bubbles in the financial market, the contagion effect of asset price bubbles in the inter-market, and ultimately puts forward suggestions for targeted regulatory strategies. In the numerical simulation of the formation mechanism of asset price bubbles, both Bubble 1 and Bubble 2 experience 10 periods, and the peaks of the two bubbles appear at t=14 and t=34.5, respectively. The rate of rise of asset prices is slower than the rate of decline, and the impact on the financial market is greater when the financial asset bubble bursts. There is a two-way bidirectional contagion effect between the three markets of stock, bond, and property. Therefore, regulation of asset price bubbles should focus on improving the stock market trading system, publicizing and educating, and restricting real estate loans.
Analysis of the value of news and cultural communication using multimodal learning
Authors: Shi Wei
Published: June 2024

News serves as a critical medium for mass communication, characterized by its distinct purpose, comprehensiveness, and authenticity. It is essential to explore the developmental trends within the news sector from the perspective of communicative value and to provide appropriate guidance. This study employs multimodal learning techniques to develop a new content detection model that leverages multimodal fusion for effective content identification. Building on this framework, a sentiment analysis model utilizing multimodal data is constructed to assess the emotional impact of news communication. Additionally, the cognitive mediation model is used to establish an analysis model for determining the value of news communication. Empirical analyses indicate that the multimodal news content detection model presented in this study achieves high-performance metrics, with each index exceeding 0.9. Similarly, the sentiment direction model demonstrates robust accuracy, precision, recall, and F1 values, all-surpassing 0.83. The models exhibit Pearson correlation coefficients (Corr) of 0.758 and 0.785 and mean absolute errors (MAE) of 0.624 and 0.948, respectively, outperforming comparable models. Further analysis into the value of news and cultural communication reveals significant impacts of sound attention (0.328), sound-associated thinking (0.210), and image attention (0.284) on communicative value. Conversely, leisure Internet time shows a negative correlation with knowledge acquisition (-0.090). The findings underscore a positive correlation between the value of news and cultural communication and sound content, thereby affirming that the methodologies employed in this study provide a viable approach to analyzing the communicative value of news. This study not only advances the theoretical understanding of news communication but also enhances practical approaches to media analysis.
Construction of a Classification Model for Teacher and Student Behavior in Physical Education Classrooms –Based on Multimodal Data
Authors: Zhao Yan , Yu Bingyan
Published: June 2024

The analysis of teachers' and students' behaviors in physical education classrooms is an important way to improve the quality of physical education teaching and teaching methods, which helps teachers to check the gaps and improve the teaching level. In this paper, for the problems of data differences between multiple modalities and the conflict between feature extraction modules of different modalities, we designed a dual-stream framework HRformer algorithm based on Transformer, which unifies the skeletal modalities and video modalities in the algorithm. The relationship between skeletal and video modalities is modeled using the self-attention mechanism, and the matching and fusion of skeletal features and video data is performed to construct a behavior recognition model for teachers and students in the sports classroom based on multimodal data. Then, the model is compared with mainstream networks on the dataset to verify its performance. To conduct model application and example analysis, a university collects data on physical education classroom teachers and students for a semester. It is found that the multimodal model in this paper has a classification F1 value of 95.61%, 93.19%, and 93.74% for the three types of behavior recognition, namely, skill training (ST), game activity (GA), and rest, respectively, which are higher than the two methods of single skeletal modality and video modality. The model has the highest recognition accuracy of 97.12% and 98.15% for Game Activity (GA). Based on real physical education classroom data, the practical application of the model in physical education teaching classrooms in this paper is fruitful, and the results of behavioral recognition classification are in line with the design expectation. This study develops an effective method for classifying teacher and student behaviors in a physical education classroom. It provides a useful exploration for the integration and innovation of physical education teaching and information technology.