bluuebunny/crossref_metadata_2025 huggingface dataset:
Wkład Josepha Ratzingera w dekret soborowy ad gentes i jego recepcja w jego teologii
Authors: Miotk SVD Andrzej
Published: December 2024

Studium przedstawia całościowy rozwój myśli misyjnej Josepha Ratzingera jako teologa – eksperta na Soborze Watykańskim II, Prefekta Kongregacji Nauki Wiary i Pa-pieża Benedykta XVI. W trzech etapach autor nakreśla aspekt biograficzny, praktyczny i teologiczny udziału i wkładu Ratzingera w ostateczną redakcję dekretu misyjnego Ad gentes. Jego praca redakcyjna w Podkomisji Misyjnej pod umiejętnym kierownictwem o. Johanna Schütte, Przełożonego Generalnego werbistów zaowocowała przyjęciem do-kumentu misyjnego Ad gentes z największą liczbą głosów zatwierdzających spośród wszystkich szesnastu dokumentów soborowych w przedostatni dzień Soboru Ekumenicz-nego. Ratzinger był obok Yvesa Congara, OP najbardziej znaczącym współtwórcą teo-logii misyjnej dekretu Ad gentes. Studium analizuje jego teologiczny wkład w kontekście kryzysu idei misyjnej spowodowanego głęboką zmianą świadomości – wynikającą z prze-mian nowoczesności. Wreszcie, ostatnia część studium koncentruje się na posoborowej recepcji dekretu misyjnego i dalszej refleksji teologicznej kard. Ratzingera i Papieża Benedykta XVI na temat misji w kontekście postępującej sekularyzacji w Europie, roz-kwitu teologii wyzwolenia w Ameryce Łacińskiej i rosnącego znaczenia dialogu między-religijnego w Azji. Zasadniczo Joseph Ratzinger potwierdza teologiczną linię Ad gentes rozwijając nowe aspekty, np. chrystologiczny i eschatologiczny w teologii misji.
Przyszłość chrześcijan w niechrześcijańskim świecie. Refleksja eklezjologiczna wokół fenomenu małych wspólnot
Authors: Skrzypczak Ks. Robert
Published: December 2024

Św. Jan Paweł II przy wielu okazjach mówił o przyszłej parafii jako „wspólnocie wspólnot”, będących znakiem żywotności Kościoła, narzędziem chrześcijańskiej formacji i ewangelizacji”. Benedykt XVI wskazał „małe wspólnoty” jako konieczność, aby życie chrześcijańskie mogło się ukazać na swój sposób”. W artykule zamierzam poddać teologicznej analizie przyszłe chrześcijaństwo skonfigurowane eklezjalnie w małe wspól-noty, biorąc pod uwagę aktualną sytuację duszpasterskiej i misyjnej niewielkiej skutecz-ności Kościoła w obecnej masowej i sklerykalizowanej postaci. Wspólnota wiary i modlitwy, miłości braterskiej i zaangażowania misyjnego jest najlepszym konkretnym sposobem wyrazu katolickiej posoborowej eklezjologii, umożliwiającym z jednej strony pełną personalizację Eklezji, z drugiej zaś, integralną eklezjalizację osoby.
Power Fault Rapid Response and Communication System Synergy
Authors: Zhang Fuheng , Ji Guangbin , Zhang Xiaoliang , Zhang Zihe , Gao Wenhan
Published: December 2024

In order to ensure the reliable operation of the power system, when a fault occurs, it is necessary to determine the location and cause of the fault in the shortest possible time and troubleshoot it as soon as possible in order to return the service transmission to normal. In this paper, the power system and communication system are coupled with each other to construct a power communication network, and association rule mining is utilized to find valuable information for fault diagnosis from historical alarm data. With the help of a new parallel computing architecture, Spark, a weighted association rule parallel mining platform built on Spark, was constructed under the power communication network fault diagnosis technology. By mining the alarm information through parallel computing, we can quickly find the association relationships between the alarm information and utilize the mined alarm association rules. In this way, the fault diagnosis of the power communication network is completed. Finally, experiments are carried out in the built IEEE39 node simulation environment, and the simulation results show that the proposed method has a power transient fault response speed of 0.3μs , and is able to quickly and accurately complete the fault diagnosis of the power communication network.
Facing the Transformational Trend of Structural Equation Modeling in Journalism and Communication Education in the Context of Media Convergence
Authors: Li Yating
Published: December 2024

Media convergence change brings opportunities and challenges for the news communication industry but also puts forward new requirements for news communication education. This paper takes the necessary qualities of journalism talents under the trend of media convergence as the starting point, discusses the integration of traditional and emerging media in terms of content as well as interaction and form, and the transformation path of journalism and communication education in colleges and universities. The structural equation modeling algorithm is introduced, and the covariance matrix is used to analyze the relationship between media convergence and journalism and communication education. After analyzing the structural equation, it was found that media convergence has an important influence on the quality and transformation trend of journalism and communication education. Media convergence students’ participation and mastery of media convergence skills positively affect their journalism quality, and teachers’ media convergence practice resources affect the employment of fusion media counterparts. Teachers’ media integration skill level positively affects the quality of journalism and communication education, teachers’ media integration skill level positively affects the adaptability of fusion media work capacity, frequency of media integration technology use positively affects fusion media work capacity, and media integration skill mastery positively affects fusion media work capacity. The hypotheses were all proved, and all were significant at, and all were significant at the level of P<0.01. This paper verifies the role relationship between media convergence and journalism and communication education, and provides theoretical support for the transformation of journalism and communication teaching in colleges and universities.
Design and Implementation of Intelligent Adaptive Learning System in Wushu Teaching and Learning
Authors: Zhao Xianpin
Published: December 2024

As a treasure of the Chinese nation, Wushu has fitness, health, entertainment and cultural attributes, and the inheritance and development of Wushu are particularly important in the context of globalization. In this paper, the key skeletal points in the demonstration movements of wushu teachers are collected to construct the feature matrix of wushu movements, and the feature matrix is processed by dimensionality reduction using the LDA algorithm. The Euclidean distance method is used to calculate the distance between the target feature matrix and the action feature matrix, and wushu actions are recognized according to the minimum distance. Subsequently, a resource library for wushu learning is constructed, and an adaptive learning system for wushu teaching is designed. The results of wushu teaching practice showed that the total level of basic wushu skills of students taught under the adaptive learning system after practice (36.18 points) was significantly higher than that of the traditional teaching group (31.83 points). The post-test found that there were significant differences between the two groups of students in terms of positive interest in wushu learning and negative attitudes toward physical education learning (P=0.028, 0.003<0.05). The adaptive learning system proposed in this paper can realize the dataization and intelligence of wushu teaching, can crack the defects and difficulties in the traditional teaching of wushu, achieve the effect of improving quality and efficiency, and open up a new path for the development of wushu teaching.
Research on real-time graphics rendering and interaction optimisation strategies in virtual reality
Authors: He Chen , Sun Chuilian
Published: December 2024

With the continuous development of computer graphics and computer technology, real-time graphics rendering technology is more and more widely used in virtual reality technology. Firstly, we introduce the necessary ray intersection detection, reflection, and refraction calculation parts of ray tracing, and summarize the flow of ray tracing. Then, the rendering equations are summarized by introducing the Monte Carlo method and cosine-weighted sampling. An improved hierarchical enclosing box algorithm has been introduced to meet the demand for real-time rendering of virtual graphics. In addition, this paper proposes a real-time ray tracing method for noise reduction in the time domain, based on accurate motion vector computation, to address the noise problem in rendering computation. Based on the above-optimized path tracing method, a virtual graphics real-time rendering system with interaction management control, scene resource management, and path tracing rendering modules has been constructed. Its rendering consumes 6-9 times more time than the traditional method, and it can render light at more than 35 frames per second under hundreds of light sources. The real-time graphic rendering and interaction system proposed in this paper has a better performance in the experience dimensions such as aesthetics, functionality, and natural interaction, and the score reaches a perfect score on the evaluation index of natural interaction, which indicates that the real-time graphic rendering and interaction system designed in this paper This shows that the interaction management and control module in the real-time graphics rendering and interaction system designed in this paper can well accomplish the task of optimizing real-time graphics rendering and interaction in virtual reality.
Intercultural Interpretation of English Literature in the Context of Globalisation
Authors: Ma Qianying , Zhang Chidong
Published: December 2024

English literature occupies an important position in the world literary world and shows a high literary research value. The study explores English literature from a cross-cultural perspective and systematically analyses the linguistic features of English literature. Then, it introduces the digital humanities method, combines the Word2vec algorithm and TF-IDF algorithm for text representation and feature extraction, and constructs a model for analyzing linguistic features. Taking the English literary works of two certain writers as an example, text features and text emotions are interpreted to uncover the linguistic expression features of English literature. English literature as a whole reflects the features of quoting classics, reality-based, cultural differences, dramatic monologues, and European cultural characteristics. The readability of the sample English literature was at the slightly difficult and difficult levels, with scores of 45.53 and 52.85, respectively, and Author A’s English literature was of higher complexity and had a higher degree of textual subordination (1.35). The selected English literature samples had mainly neutral (47.87%) and positive (40.61%) affective tendencies. With the ever-accelerating cultural globalization and exchange, there is a proliferation of new and old outstanding works from all ethnic regions of the world, which can only be better interpreted by fully respecting cultural differences and improving literary literacy.
Exploring the sustainable development path of rural tourism: a practice based on the integration of ecological agriculture and tourism
Authors: Wang Qiuhong , Zhang Wenjin , Xi Yajing
Published: December 2024

There are numerous paths to promote the sustainable development of rural tourism, and this paper focuses on the integration of eco-agriculture and tourism to promote the sustainable development of rural tourism. The study selects statistical data on eco-agriculture and tourism in Huangshan City to construct an evaluation system for eco-agriculture and tourism development. The entropy value method is used to determine the weights of the indicators in the evaluation system, and the comprehensive evaluation model, coupling degree model and coupling coordination degree model are constructed to comprehensively measure the level of integration of eco-agriculture and tourism development. Construct the evaluation system of the benefits of integrated development of eco-agriculture and tourism, and get the comprehensive evaluation score of the benefits of integrated development of eco-agriculture and tourism based on the weights of the entropy value method, so as to measure the comprehensive benefits of the integration of agriculture and tourism. The coupling degree between eco-agriculture and tourism in Huangshan City from 2014 to 2023 always stays above 0.9. Meanwhile, eco-agriculture development and tourism development reach a state of complete coordination in 2023. The comprehensive benefit evaluation score of agro-tourism integration in County M of Huangshan City shows a gradual upward trend from 2014 to 2023. The score reaches 0.91 in 2023, which significantly demonstrates the good benefits of agro-tourism integration and provides the impetus for the construction of a sustainable path of development for rural tourism.
Intelligent packaging design optimisation and printing effect prediction based on computer image processing
Authors: Wang Jia
Published: December 2024

With the development of computer image processing technology, intelligent packaging design optimisation and printing effect prediction has become an important research direction in the packaging and printing industry. This paper applies image processing and artificial intelligence technology to design an intelligent packaging design platform. Through simulation experiments and questionnaires, the impact of packaging design optimization on the platform is evaluated. A packaging printing defect detection system is also constructed to improve the printing effect by automatically monitoring the defects in the printing image. The intelligent packaging design platform in this paper scored 9.2, 9.7, 10, 9.7, and 9.3 in order of handling performance, packaging protection performance, packaging utilisation, environmental performance, and cost overhead, showing better protection performance. In addition, most of the people scored 4 or more on the recognition of the platform for packaging optimization. This paper’s printing defect detection system has superior defect monitoring and classification performance. It shows a significant negative correlation with the printing results of silkscreen defects, scratches, stains, too-light ink, printing ghosting, and inconsistent graphic thickness. The intelligent packaging design platform and printing defect detection system designed in this paper can optimize the packaging design and accurately predict the printing effect due to their intelligent and high-precision performance.
Facilitation of Language Acquisition by Non-Native Speakers through the Construction of a Japanese Cultural and Educational Corpus
Authors: Chen Yamin
Published: December 2024

With the diversification of the world landscape and the accelerating process of higher education, Japanese is being valued as an important language, yet there are differences in the formal expression of the language due to different cultural backgrounds. The creation of a corpus of Japanese language culture and education is explored in this article, which contributes to language acquisition by non-native speakers. After collecting relevant information about Japanese language culture and education, the article takes it as a corpus and develops a corpus annotation system and specification further modifies the model and algorithm through machine learning, and finally realizes the construction of the system. By testing the usefulness and effectiveness of the Japanese language culture education corpus proposed in this paper, the paper concludes that in the analysis of the number and rate of bias of “了 (have done)” in subjects with different levels of Japanese language proficiency, the average rate of bias of the beginner level group is the highest at 24.65%, and the average rate of bias of the intermediate level group is the lowest at 14.6%. The “over-marking” bias rate of students’ use of “着(be doing)” reveals that the bias rate of students decreases by 0.64 from the beginner stage to the advanced stage, which indicates that the Japanese cultural education corpus proposed in this paper has a good effect on improving and facilitating the language acquisition of non-native speakers. It shows that the Japanese cultural education corpus proposed in this paper has a positive effect on improving and promoting language acquisition for non-native speakers.
Visual Communication Technology in Interactive Virtual Art Exhibition Design and its Aesthetic Education Value Mining
Authors: Shi Yue
Published: December 2024

The art exhibition hall is a public cultural service organisation to display history through culture and art, which is the responsibility and mission of the exhibition hall. The role of the interactive virtual construction of the exhibition hall is to construct the theme, story, plot, symbols and cultural values so as to achieve the effect of history in beauty and educate people by beauty. In this paper, we use thermal balance scanning to get the laser 3D image of the art exhibition, use the local binary mode algorithm to extract the texture features within the laser 3D image and use the nearest neighbour propagation clustering algorithm to fuse the global features and local features of the image. Based on the results of multi-feature fusion, the laser 3D image model is reconstructed, and the design of the interactive virtual art exhibition is realised from various aspects, such as the overall style, so as to excavate the aesthetic value of the virtual reality interactive art exhibition. The design of the interactive virtual art exhibition is being analysed. The average score of the eight assessment elements in the interactive subjective evaluation results is 4.184, and the interactive operation is in line with the user’s habit of use. The number of users satisfied with the visual experience items is between 10 and 15, accounting for more than 62.5%. Users are more satisfied with the visual experience of the art exhibition, which reflects the aesthetic educational value of the interactive virtual art exhibition.
Research and Practice on the Working Mode of “Intelligent Civic and Political Thinking” in Applied Undergraduate Colleges and Universities in the Era of Melting Media
Authors: Wan Hui
Published: December 2024

Continuously improving and strengthening the work of ideology and politics in colleges and universities and continuously promoting the development of intelligent ideology and politics in colleges and universities have a good effect on improving the overall quality of students. The article proposes a working model of “intelligent ideology and politics” in applied undergraduate colleges and universities in the era of media integration. The article discusses the use of the clustering method in the analysis of students’ portraits and proposes an optimization path for precise ideology and politics in colleges and universities based on students’ portraits. Finally, the article takes the student group portrait of undergraduate colleges and universities as the entry point, explores the internal logic of the student group portrait of colleges and universities, deduces the implementation path of “intelligent civic politics”, and puts forward the intervention strategy. Through the experiment, it is concluded that in the analysis of satisfaction with educational work, from the perspective of the secondary index of daily education, the average value of the overall satisfaction of most of the students is 0.77, and the overall satisfaction is high, which indicates that the working mode of “intelligent civic politics” pays great attention to the issue of students’ civic politics education.
Research on the Deep Integration of Intelligent Speech Recognition Technology and Flipped Classroom for College English Teaching
Authors: Cai Xia
Published: December 2024

Currently, intelligent speech recognition technology has become an important tool to improve the quality of English teaching, and the flipped classroom combined with intelligent speech recognition technology not only optimizes the teaching process but also enhances students’ listening and speaking abilities. This paper briefly introduces the text representation and classification technology used in speech recognition results to extract MFCC speech features. Using the acoustic model of long and short-term memory networks and the neural network as the language model, an improved intelligent speech recognition model (LSTM-NNLM) is constructed based on English teaching. The model is applied to a smart classroom at a university to achieve deep integration between the two. Through examples, we analyze whether the model in this paper has practical application value. In this paper, the loss and error rates of the intelligent speech recognition model converge to 0.13 and 0.10, respectively, during the 25 rounds of training. Speech recognition technology can be used in the English flipped classroom to improve students’ speaking levels. The model in this paper has the most effective effect on students’ speaking scores. Meanwhile, the use of speech recognition technology in flipped classrooms can improve students’ interest in English classes. To conclude, the use of intelligent speech recognition technology in English flipped classrooms can enhance teaching efficiency and increase interactivity.
Research on the Development and Optimal Allocation of Informational Teaching Resources for the Integration of Physical Education and Civic and Political Science Courses in Colleges and Universities
Authors: Chen Zhiyuan , Chen Yujie
Published: December 2024

With the rapid development of information technology, the informatization of teaching resources for the combination of sports and civics in colleges and universities has become an important means to enhance the teaching effect. In this paper, we use technology for developing informatization teaching resources to create informatization resources for adding civics and politics classes to physical education. We also build an informatization resource-sharing platform based on teaching civics and politics in physical education to make the best use of teaching tools. Questionnaires, teaching experiments, and classroom observations are used to analyze the usefulness of information technology resources and technologies for teaching. In the integrated information literacy course of Sports, Civics, and Politics, teachers will choose different information literacy resources for the classroom stage using the teaching resource sharing platform. At the end of the teaching experiment, the physical fitness test scores of the male and female students in the experimental group were 79.61 and 73.49, respectively, indicating significant differences from the control group. In the case of using information resources and sharing platforms, the growth values of students in the experimental group were higher than those of the control group in the seven dimensions of independent learning consciousness, interest in physical education learning, patriotism, collectivism, competition consciousness, rule consciousness, and ideal belief are 4.59, 4.71, 4.89, 4.97, 4.57, 3.44, and 3.90, respectively. In summary, the information resource optimization allocation scheme has a significant role in promoting the in-depth integration of sports and civic education in colleges and universities.
A Practical Discussion of Artificial Intelligence Technology for Efficient Classroom Management within the Education Sector
Authors: Shan Yumei , Qiao Haiying , Yu Bing
Published: December 2024

Based on the research purpose of improving teachers’ classroom management ability and teaching quality, this paper utilizes artificial intelligence technology to design an intelligent classroom management system to assist teachers in timely grasping the performance of students in the classroom and making adjustments. The ArcFace algorithm is selected to construct a face recognition model, and an additive angular margin loss is added to the algorithm to achieve intra-class compactness so as to improve the accuracy of the algorithm for face recognition. The face features recognized by the ArcFace model are extracted through the resnet18 network structure, and the softmax function is used to calculate the identity probability of the ArcFace model to realize the classification of the recognized face expressions. Based on the face recognition model, an intelligent classroom management system is constructed, and an innovative method of calculating students’ classroom concentration is added to grasp the degree of concentration of students in the classroom in real time. The model in this paper can achieve over 80% accuracy in recognizing 8 types of expressions. The results of student concentration can effectively reflect the concentration of students at all stages of the classroom and send reminders at the right time. After using the intelligent classroom management system in this paper, the student’s performance shows a more significant improvement, which fully verifies the role of the system in assisting teachers in classroom management and improving the quality of students’ learning.
Efficiency Improvement and Talent Development Path Prediction of PAM Models in Human Resource Management in Universities
Authors: Liu Xiaoli
Published: December 2024

This paper constructs a forecasting model using the PAM-LSTM time series model based on historical human resource data. The status quo, structure, efficiency and talent of human resource management of teachers in Chinese institutions of higher education are analysed in depth so as to discuss more concisely and systematically the methods of improving the efficiency of human resource management of teachers in colleges and universities and the path of talent development. The study shows that the student-teacher ratio of higher education institutions is expected to reach 10:1 in 2026, the doctoral degree increases to 34.24%, and the number of full-time teachers with full senior titles is expected to be 2.5% higher in 2026 than in 2020. The comprehensive efficiency value of human resource management in higher education institutions is expected to reach 96.7% in 2026. Therefore, strategies for improving HRM efficiency and developing talent, such as combining rigid and flexible management of human resources with an optimal organizational structure for resource allocation, are proposed.
Research on the path of information technology-based teaching content reconstruction strategy in the OBE concept of the five-five model of specialised and integrated education
Authors: Wang Shengsheng
Published: December 2024

Teaching and learning are the main content of higher education, and in the traditional teaching mode of applied courses, there are problems such as the lack of scene support and the limitation of knowledge integration. This paper uses information technology to design a teaching content reconstruction strategy, integrates its application path in the “five-five model” of specialised integrated education under the concept of OBE, and then applies this strategy to the course content module in specialised integrated education. The study constructs an evaluation model for teaching effects using the PSO-RBF algorithm to assess the teaching effectiveness of this path. The RMSE based on PSO-RBF is 0.608, which allows for effective evaluation. Both the teaching effect evaluation model and the control experiment indicated that the teaching effect was better after the change to specialized and integrated education. It shows that it is effective to integrate the IT-based teaching content reconstruction strategy into the course content module in specialized creative and integrated education.
The Effectiveness of Implementing Blended Learning Model in College English Speaking Teaching Supported by Information Technology
Authors: Zhang Yan
Published: December 2024

The blended learning approach has been explored many times in theory and seems to be argued many times about its superiority, but the effect in practice still lacks effective data to prove it. This paper takes full account of the contingencies that exist in teaching practice, focuses on English-speaking teaching as the object of study, and improves the teaching control design. Integrate the concept of blended teaching and clarify the overall mechanism of blended teaching in spoken English. Ensure that the experimental group and the control group have comparable levels of spoken English through random selection, and try our best to exclude the interference of other factors in the teaching experiment. On the other hand, we build an objective model of teaching quality by combining the BP neural network and genetic algorithm. The teaching effect was fully verified by integrating students’ performance and quality evaluation results. The results show that before and after the blended teaching, the students in the control group and the experimental group have different degrees of improvement in satisfaction, learning motivation, and attitude. The model’s evaluation of teaching quality before and after the teaching also validates the effectiveness of the blended teaching mode in teaching spoken English.
Constructing a model for optimal allocation of digital aesthetic education resources in colleges and universities based on deep learning
Authors: Hao Kexian
Published: December 2024

In the context of digital development, aesthetic education in colleges and universities is encountering novel challenges and opportunities, with some institutions grappling with the issue of an uneven distribution of digital resources for aesthetic education. In order to achieve rationalization and maximization of the benefits of digital aesthetic education resource allocation in colleges and universities, a digital aesthetic education resource evaluation index system and a multi-objective function model of the utilization efficiency and allocation efficiency of digital education resources are constructed. The deep Q network algorithm, which is based on a genetic algorithm, is also used to do model solving and simulations to find the best way to set up digital art education resources in the colleges and universities that are being studied. The simulation results demonstrate an improvement in the comprehensive utilization efficiency of digital aesthetic education resources in each university, ranging from 4.28614 to 12.89167 to 9.95566 to 12.92808, and a tendency towards equilibrium. This improvement not only optimizes the allocation of aesthetic education resources in colleges and universities but also validates the accuracy and usability of the model. This study holds significant importance in enhancing the efficiency of educational resource usage, mitigating disparities between colleges and universities, achieving the set targets, minimizing resource waste, and fostering the advancement of education.
Optimisation of controller parameters for hybrid energy storage system based on improved particle swarm algorithm
Authors: Li Yuan
Published: December 2024

In order to solve the problem of intermittent and fluctuating output power in photovoltaic systems and wind power systems, it is necessary to introduce hybrid energy storage system controllers into the infrastructure equipment to fully utilize the characteristics of energy storage equipment. In order to better alleviate the hybrid energy storage system controller part of the problem, this paper uses the traditional particle swarm algorithm on the basis of improvement, using the improved particle swarm algorithm of the hybrid energy storage system controller for the actual case analysis. The study looks at the differences between wind power and photovoltaic power generation, creates a model of a hybrid energy storage system, builds a simulation model for controlling the hybrid energy storage system after understanding how it works, and then improves the model. The particle swarm algorithm is improved by optimizing the acceleration factor, and finally, the example simulation experiment is carried out. The experimental results demonstrate that the proposed hybrid energy storage system controller method in this paper effectively reduces costs, saves energy, and reduces emissions in practical applications. Secondly, in the microgrid experiments, the hybrid energy storage system controller with an improved particle swarm algorithm can effectively suppress bus power fluctuations, and the SOC of energy storage is maintained at 67–70%.
Practical Exploration of Informatisation Means in the Integration of Wushu and Ethnic Traditional Sports Education
Authors: Cui Wenjuan , Li Zhuo
Published: December 2024

Wushu and national traditional sports, as an important part of school physical education, are popular among students. However, traditional teaching methods cannot make students master the knowledge and skills of wushu comprehensively and effectively. Therefore, this paper takes “flipped classroom + video feedback” as the technical support to explore the application of information technology in the integration of wushu and traditional national sports education. The article first analyzes the teaching mode of the flipped classroom and then explores the video feedback teaching method, combining the flipped classroom and video feedback to form the teaching mode of “flipped classroom + video feedback”. Then, we construct the evaluation index system of the teaching ability of Wushu and traditional national sports, and finally, we discuss the application effect of the teaching mode of “flipped classroom + video feedback”. This paper concludes that in the analysis of students’ satisfaction with classroom learning, the average score is above 3.5, indicating that students in the practice of the integration of wushu and traditional ethnic sports education have recognized the method proposed in this paper.
Mechanism and Empirical Analysis of the Integration of Digital Art and Traditional Artistic Expressions
Authors: Cheng Fangyu
Published: December 2024

The deep integration of digital technology and traditional art can effectively enhance the inheritance, development, and protection of traditional art. This paper establishes the integration mechanism between digital art and traditional artistic expressions and uses the hierarchical analysis method to assign weights to the indicators in the evaluation system of digital art and traditional artistic expressions. The raw data in the evaluation model for the integration of digital art and traditional artistic expressions in a certain region from 2018 to 2022 are selected to calculate the weights of the indicators while quantitatively measuring the time-series development trend of the degree of integration in the selected region. Taking 15 cities and municipalities in a certain province as research objects, gray correlation analysis was used to explore the integration of digital art and traditional artistic expressions among the cities and municipalities. In the evaluation system for the integration of digital art and traditional artistic expressions, the indicators with the highest weights are the degree of content theme innovation, audience acceptance, comprehensive visual and auditory experience, and educational significance, with weights of 0.12, 0.12, 0.11, and 0.11, respectively. In addition, this paper measures that the degree of integration between digital art and traditional artistic expressions from 2018-2022 shows a gradual upward trend.
Exploring the Discourse Power Structure in Modern News Communication Based on Text Mining Techniques
Authors: Gao Jingbo , Liu Xianyuan
Published: December 2024

In the era of social media, the emergence of a large number of new media has changed the communication pattern dominated by traditional media, and at the same time, it has also changed the discourse power structure of news communication. In this paper, we use the TF-IDF optimization algorithm for keyword extraction and classification of news text, the optimized LDA topic model to mine the topics of news text, and the sentiment analysis of the text, to realize the exploration of the influence mechanism targeting the government’s online discourse power. Public opinion events that are directly related to the government account for only 6.30% of the events of public concern, but the public and media tend to prefer negative government events. Public opinion events in the three areas with a greater connection to the public sector show a strong “broken window effect”, i.e., after the occurrence of a broken window event, the attention to similar events increases sharply, and the aggregation situation is obvious. In the typical cases of negative government public opinion events, positive, neutral, and negative emotions accounted for 21.68%, 14.71%, and 63.61% of the public comments respectively, and the comments on the public opinion events tended to be negative. The government should take timely and positive remedial measures for negative public opinion events to strengthen its discourse power. This paper provides theoretical references for the reconstruction of discourse power in modern news communication.
Facilitation of Interpersonal Skills of University Students Based on Big Data Analysis
Authors: Gao Tian
Published: December 2024

In today’s fast-paced society, college students face not only academic pressure but also a variety of other pressures, including emotional and interpersonal relationships, which can lead to psychological crises for many sensitive-minded individuals. In this paper, we utilize the C4.5 decision tree algorithm to analyze data pertaining to college students’ interpersonal competence. We then calculate the weights of these dimensions to evaluate the results of interpersonal competence. The early warning system of college students’ interpersonal competence is then constructed based on Spring Boot technology and B/S architecture, which provides help for the implementation of the manager’s intervention program and promotes the improvement of college students’ interpersonal competence. After the intervention experiment, the P-value of the experimental group applying the early warning system and the control group under the traditional management mode in terms of the total score of interpersonal competence is 0.022 (P<0.05), which is a significant difference. It shows that the application of the college student’s interpersonal communication ability early warning system based on big data analysis can effectively assist counselors in intervening in time to promote college students’ interpersonal communication ability. This paper proposes an early warning system for college students’ interpersonal communication abilities that can effectively address interpersonal communication crises and provide essential support for their mental health and overall development.
Research on Intelligent Service System Design and Technological Innovation of Cultural Tourism in Anhui Province in the Era of Low Altitude Economy
Authors: Li Yan , Wang Jixin
Published: December 2024

The low-altitude economy brings new opportunities for the development of tourism, and the demand for regional cultural tourism to enhance its services and improve tourists’ satisfaction is becoming more and more urgent. Taking the cultural tourism service system in Anhui Province as an example, the study extracts and summarises tourists’ demand indicators based on the Kano model and stakeholder theory and classifies them into four types, namely, anticipatory, basic, undifferentiated, and glamorous demand, through the Better-Worse coefficient. Subsequently, the demand indicators were calculated and second-ordered using demand sensitivity. By analyzing the importance of different types and aspects of needs, the priority of tourists’ needs was determined. Based on the conclusions obtained from the analysis of tourists’ needs, an intelligent service system for cultural tourism in Anhui Province is constructed, and a cultural tourism blueprint and information architecture are designed. The demand analysis points out that the most important aspect of intelligent services for cultural tourism in Anhui Province is to satisfy anticipatory needs while prioritizing basic needs. It is possible to moderately relax or slow down the satisfaction of undifferentiated needs of tourists and put the design focus on the service design of glamour needs.
Research on structural performance enhancement strategies for lightweight building materials based on topology optimisation
Authors: Li Yanli , Song Shaolei
Published: December 2024

Topology optimization can realize the goals of cost reduction, efficiency, energy saving, and environmental protection by establishing a mathematical model of the structure and optimizing the structural performance of building materials within the range of constraints. In this paper, an optimization algorithm based on topology optimization is designed for the structural performance of lightweight building materials, and the topology optimization objective function and optimization model of the multi-objective optimization problem are established by analyzing the structural stiffness problem, steady state heat conduction problem, and dynamics response problem, respectively. The algorithm is analyzed and applied in practice, and it is found that compared with the baseline model, the algorithm in this paper contains a simpler form, fewer optimization variables, and more number-cutting planes, and the computational efficiency is higher. In the application of performance optimization of L-shaped beam structures and MBB beam structures, the model in this paper performs well in optimizing volume ratio, flexibility, and maximum von Mises stress. The algorithm is effective in maintaining the optimized structure’s proper stiffness, reducing material usage in practical applications, and improving the structural performance of lightweight building materials. The topology optimization algorithm can perform optimization iterations under various stress constraints, resulting in good and cost-effective results upon algorithm completion, as demonstrated in this paper.
Research on the Methods of Great Spirit Inheritance in Intelligent Teaching of Civics and Political Science Courses in Colleges and Universities
Authors: Yang Xiaohua
Published: December 2024

The Great Spirit is the embodiment of the values of the Chinese people, as well as the valuable spiritual wealth of the Chinese people. In this paper, through word similarity and concept matching algorithms, we extracted the association between the knowledge in the Civic and Political Education Resources, and with the help of an intelligent push system, we pushed the related resources for the learners in the process of knowledge construction, which helped the learners to understand the knowledge and actively construct the knowledge structure. Testing the intelligent push system of ideological and political resources in colleges and universities, the application side of the system does not require high performance of mobile devices, and it can run smoothly on the user’s mobile device. In the teaching environment, the intelligent push system can significantly improve the learning effect of students (p=0.982, p<0.05). At the same time, it was found that the application of the intelligent push system can promote the ideological inheritance of the Great Spirit among college students, manifest the appeal of the Great Idea, improve the radiant influence of the Great Spirit ideology, and coalesce the centripetal force of the Great Culture.
Quantitative assessment of information technology support in higher education management systems for student employability enhancement
Authors: Wu Yuqing
Published: December 2024

This paper synthesises the definition of information technology, the definition of students’ employability, and the principle of constructing the evaluation index system, and initially formulate the evaluation system of information technology-driven employability improvement. To ensure the accuracy of the evaluation index system, we used the Delphi method to conduct two rounds of screening. Finally, the evaluation index system for this paper was determined. Then, the hierarchical analysis algorithm is used to calculate the weight value of each index, which is substituted into the fuzzy comprehensive evaluation model as the input value to complete the quantitative assessment of the enhancement of students’ employment ability under the support of information technology. The results show that the affiliation matrix obeys the principle of maximum affiliation, and the quantitative assessment result of information technology-driven students’ employability enhancement in a school is deduced to be excellent, with the specific data expressed as 4.53601, which indicates that information technology fuels students’ employability enhancement and enables them to adapt to the society and the workplace more quickly.
Simulation of fiber movement in the high speed vortex during the rotor spinning process
Authors: Yang Ruihua , Gong Xinxia
Published: December 2024

A physical model of the air extraction rotor spinning channel was established in SolidWorks 2018 to explore the movement of the fiber in the rotor and the fiber transport channel. A fiber model was built using EDEM2018. Using the coupling software Fluent 19.0 and EDEM2018, a numerical analysis of the movement of fibers in the fiber transport channel and rotor was carried out. The research in this study provides a strong theoretical basis and technical support for further development of new rotor-spun yarns and optimization of key components with a short spinning process, high yarn-forming efficiency, and strong fiber adaptability.
Sustainable Operating Rooms: A Comprehensive Framework for Environmental Impact Analysis
Authors: Savio Anna , Marchi Beatrice , Roletto Andrea , Milano Giuseppe , Zanoni Simone
Published: December 2024

The healthcare sector is responsible for around 4.4 % of worldwide greenhouse gas emissions, according to estimates. Operating rooms are responsible for the greatest rate of resource consumption and overall hospital waste, varying from 20 % to 33 %. Hence, it is essential to fully discover the environmental impact of surgical procedures to obtain insight into the total emissions associated with the healthcare sector. Moreover, the lack of uniformity in data collection and the discrepancy of the data used by researchers makes it challenging, if not ineffective, to conduct a rigorous scientific comparison among the currently available studies on the environmental impacts of surgical procedures. This study aims to provide a practical and standardised framework that can be utilised to evaluate, simply and consistently, the environmental impacts of surgical procedures. To achieve this goal, a comprehensive literature review was conducted to assess the state of the art in environmental impact analyses related to surgical practices. This review highlighted significant variability and heterogeneity in existing methodologies, serving as the foundation for developing a more consistent approach. By simulating three different scenarios based on data availability, a methodology is proposed to conduct an environmental impact analysis tailored to the specific needs of researchers. Adopting a uniform methodology guarantees the inclusion of important variables and factors, preventing any oversights in the evaluation of the entire process.