bluuebunny/crossref_metadata_2025 huggingface dataset:
The weaving of the garment that I'm wearing: The spiritual lives of gay men in Aotearoa New Zealand.
Authors: Sander David , Wilson Jan
Published: October 2024

This small qualitative study took an in-depth look at the spiritual lives of gay men in Aotearoa New Zealand seeking to understand how they have constructed both their spiritual and sexual identities. A qualitative approach, in which eight participants were interviewed, was adopted. Thematic analysis was carried out to identify and understand the major themes related to what being spiritual and being a gay man meant to them, and the experiences each had gone through in the process. It sought to understand in particular these identities within the context of Aotearoa New Zealand. Each talked about what it meant to be a gay man who is spiritual in Aotearoa New Zealand, and how ideas around masculinity may also impact on this position. It was found that gay affirmative organisations and help from significant others meant they could develop a more secure spiritual and sexual identity. [ABSTRACT FROM AUTHOR] Copyright of New Zealand Journal of Counselling is the property of New Zealand Association of Counsellors and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Person-centred therapy: A radical paradigm in a new world.
Authors: Rodgers Brian , Tudor Keith
Published: October 2024

Taking inspiration from a paper given by Carl Rogers in 1965 to a meeting of the Australian and New Zealand College of Psychiatrists (Victorian Branch) at the University of Melbourne, this article discusses Rogers' approach to the therapeutic relationship, research, and the education/training of therapists, highlighting what we see as the radicalness of his original work and theorising. While the person-centred approach is still popular and, in some senses, quite mainstream in many countries including Aotearoa New Zealand, the article argues that the radicalness of person-centred therapy has not been fully embraced in this country, and offers some reflections on how its theory and practice might foster contactful, genuine, acceptant, and empathic relationships beyond its original horizons. [ABSTRACT FROM AUTHOR] Copyright of New Zealand Journal of Counselling is the property of New Zealand Association of Counsellors and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Women's grief in induced abortion (IA) and later loss of pregnancy: Themes from a narrative literature review with implications for counselling.
Authors: Pack Margaret
Published: October 2024

This article is based on a review of literature on pregnancy losses at later gestational dates. The author, the head of counselling of a counselling team housed within an induced abortion (IA) clinic, undertook the review with the aim of compiling a fact sheet for clients to assist in their grief and loss associated specifically with IA. The research question was specifically exploring whether women's experience of IA during the first trimester of pregnancy differed from women's experiences during the second trimester of pregnancy, and therefore whether services and a resource needed to reflect this. A key theme in the literature reviewed was that loss by a later elective IA increased the likelihood of the parents' experiences of disenfranchised grief. Findings also showed that there were negative impacts to the women's health if grief and loss counselling was not offered. The experiences highlighted in the research literature were identifiable from other losses related to pregnancy caused by premature delivery, neonatal death, spontaneous abortion (miscarriage), and stillbirth. Recommendations for dealing with disenfranchised grief in the context of counselling in a women's IA clinic are explored with implications for assisting women and their partners post IA. [ABSTRACT FROM AUTHOR] Copyright of New Zealand Journal of Counselling is the property of New Zealand Association of Counsellors and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Supervision and continuing professional development: Supervisors' hopes for meaningful, supervision-supported CPD.
Authors: Flanagan Paul , Gee Sandra , Holden Lisa , McGoran Martin , Meyenberg Lee Ann , Pringle Graeme , Townend Helen
Published: October 2024

Continuing professional development (CPD) is now embedded into the New Zealand Association of Counsellors (NZAC) practices, such as its members' supervision, processes for membership renewal and applications for annual practicing certificates. Since its implementation in 2017, a number of developments have been made to NZAC CPD requirements, and in 2020 the process went online. During the same year, six experienced supervisors participated in a small-scale study in which they were interviewed about their experiences of the CPD process and its effects on supervision. The research project was part of a postgraduate paper in professional supervision and worked to introduce and engage researcher-students, all of whom were experienced counselling practitioners, in a supervised collaborative project. This article offers a review of literature on CPD and supervision, and presents the new findings about supervisors' hopes for meaningful, supervision-supported CPD. The findings highlighted limitations with current competencies for CPD and questioned these competencies as reflecting dominant Pākehā constructions of counselling and therefore, having effects for Māori practitioners. The study also revealed a tension between treating professional development as a requirement to be accounted for and hopes for supervision as a space to reflect on and shape future professional development. [ABSTRACT FROM AUTHOR] Copyright of New Zealand Journal of Counselling is the property of New Zealand Association of Counsellors and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Considering beginning counsellors' development of "self" in a personcentred and dramaturgical space.
Authors: Bray Peter
Published: October 2024

The counselling space is a safe, controlled, and closed environment in which personal realities can be reflected upon and challenged. In training, this space becomes a stage where the novice counsellor/actor is attempting to make a favourable impression on their client, educator, and supervisor audiences. Here they test out newly acquired knowledge and rehearse and refine an ideal professional counselling self - a self that is initially experienced as dissonant and unfamiliar. To examine this transition from temporary professional counsellor persona to a more fully realised counsellor self this exploration takes a wholly Eurocentric stance in its conscious decision to present two seminal counselling and sociological theories. Carl Rogers's (1961) distinguished and influential theory of self, and Erving Goffman's (1969) unconventional dramaturgy of self-presentation, which uses the imagery of theatre to examine face-to-face interactions. In the former, and exemplified in their working relations with clients, beginning counsellors aspire to become independent, fully functioning persons. In the latter, counsellors in training are effective as actors when their collaborative work with clients achieves mutually believable and successful performances. This discussion invites further comment from counsellors, educators and supervisors on the value of considering this normative phase in the beginning counsellor's training from diverse perspectives. [ABSTRACT FROM AUTHOR] Copyright of New Zealand Journal of Counselling is the property of New Zealand Association of Counsellors and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
How common is brief counselling in New Zealand?
Authors: Manthei Robert
Published: October 2024

Brief counselling is pervasive in the international counselling and therapy literature. Average sessions per client of fewer than ten are the rule, not the exception, and the modal number of sessions is most often one. Earlier data from New Zealand were consistent with these findings (Manthei, 2017), and more recent research has provided additional support. This additional research is summarised in this article and the implications for counsellor-educators and practitioners discussed. [ABSTRACT FROM AUTHOR] Copyright of New Zealand Journal of Counselling is the property of New Zealand Association of Counsellors and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Value Chain Analysis in dried fig and chestnut: The case of Aydın province
Authors: Bozkıran Yılmaz Sıdıka , Armağan Göksel
Published: October 2024

Purpose: The main objective of this research is to reveal the economic contribution of each link of the value chain in dried fig and chestnut production. In this context, it aims to measure and analyze the economic contribution of these products to the province of Aydın by examining all actors in the value chain, including producers, intermediaries, processors and exporters in dried figs and chestnuts.
Design/Methodology/Approach: The material of the research consists of fig and chestnut actors who contributed to the value chain in the districts and villages of Aydın between February and July 2022. A total of 241 survey data were used in the study, including 90 dried fig producers, 81 chestnut producers (171 producers in total), 20 dried fig intermediaries, 20 chestnut intermediaries (40 intermediaries in total), four dried fig processors, three chestnut processors (seven processors in total), 20 dried fig exporters, three chestnut exporters (23 exporters in total). In calculating the value chain, gross margin, absolute marketing margin, relative marketing margin, value added and proportional margin of value added calculations were used.
Findings: In the first step in the proportional distribution of dried figs by actors, intermediaries have the highest share (73.4%), while processors have the highest share (69.91%) in chestnuts. According to the calculated absolute marketing margins, the marketing margin of dried fig processors is 66.09 TL/kg and the marketing margin of chestnut processors is 74.78 TL/kg. In both products, processors have the highest relative marketing margin, while producers have the highest proportional margin of value added.
Originality/Value: It is the first study to quantify the value chain of dried figs and chestnuts.
tricontinental dialógica: Niemeyer, Molyvann e Zevaco
Authors: Loddis Christian Pedelahore de , De Souza Noto Felipe
Published: October 2024

O entendimento da modernidade como um evento global e simbiótico é o que justifica este ensaio. Global, pois, como desdobramento cultural da Revolução Industrial, alcançou os rincões mais ou menos conectados com a ordem mundial; simbiótico porque, apesar do discurso hegemônico eurocêntrico, declaramos a constante retroalimentação dos processos de experimentação artística que equiparam as experiências de todos os continentes. Discorreremos comparativamente sobre a obra de Oscar Niemeyer (1907-2012), Jean-François Zevaco (1916-2003) e Vann Molyvann (1926-2017), em ensaio organizado em duas seções. A primeira busca os aspectos dirigidos pela leitura do território, entendido como a conjunção de fatores físicos e humanos do lugar em que se desenvolve a arquitetura; aponta estratégias de aceitação da contribuição vernacular e de sua interpretação à luz do instrumental moderno. A segunda avança sobre os termos construtivos do pensamento dos arquitetos, localizando o contextualismo estrutural como ação plástica deliberada.
Research on the Language Acquisition Model of Non-Native English Learners Based on Artificial Intelligence
Authors: Ruan Xinbei
Published: October 2024

The widest application field of intelligent teaching supported by artificial intelligence technology is language learning, and enhancing learners’ language acquisition ability is the top priority. On the basis of analyzing the guidelines for the construction of a language acquisition model for non-native English learners, this paper combs through the main advantages of intelligent technology-assisted English teaching and establishes an intelligent language acquisition model based on artificial intelligence. Fuzzy cognitive diagnosis of the language acquisition level of non-native English learners is carried out using the Fuzzy-CDF model, the language acquisition ability of learners is modeled, and the regression model is constructed by combining with artificial intelligence technology so as to realize the bidirectional assessment of language acquisition level of learners. When the Fuzzy-CDF model is utilized for the learner’s language acquisition level, its MAE value is the lowest at 0.1385, and the influence coefficient of the teacher’s teaching method on the learner’s language acquisition ability is the largest at 23.506. The difference between the learner’s language acquisition response time at different levels on the experimental example sentences and the native learners is small, and close to 90% of the students indicated that they were more satisfied with the intelligent language acquisition model. Relying on artificial intelligence technology to construct intelligent language acquisition models can help non-native English learners improve their language acquisition ability.
China Classical Poetry Art Song Market Trend Forecast and Big Data Analysis in Music Industry
Authors: Chen Keke , Yang Baowen , Chen Liang
Published: October 2024

In view of the fact that Chinese classical poetry and art songs are more and more widely welcomed in people’s entertainment lives, the article conducts research on its market development trend. The PSO-Prophet-LSTM combined prediction model is constructed by combining the Prophet prediction model and the LSTM neural network model and optimizing the combined model with the PSO algorithm. The PSO-Prophet-LSTM model’s prediction performance was tested in this paper and it was used to predict the music industry and the market of Chinese classical poetry and art songs. The PSO-Prophet-LSTM model achieved the best prediction results in terms of the comparison of adaptation, LOSS, and RMSE convergence curves with prediction accuracy. In the prediction of the music industry in the next five years, the total output value of the music industry expanded from RMB 465 billion in 2024 to RMB 986 billion in 2028. The capital preservation rate, the profit tax rate of music output value, and the capital profit rate of the music industry all keep growing over the five years. In the market size prediction of Chinese classical poetry and art songs, the market size of this segment expands with the overall market size of the music industry.
A Study of Digitization Strategies and Audience Interaction in New Media Art Exhibitions in Museums
Authors: Dou Peilin , Wang Xueyuan
Published: October 2024

With the rapid development of digital technology, the digital system based on the fuzzy kano model provides a digital strategy for new media art exhibition museum information dissemination, digital display, and other fields. In this paper, the fuzzy Kano model is used to design the digital museum, and the system design starts from the five elements of user experience. The digital system is designed from the levels of the strategy layer, scope layer, structural layer, framework layer, and performance layer, respectively. Clustering the sensors first is used to obtain the functional area in the classification of audience behavior. The optimal clustering results can be achieved through spectral clustering of sensor graphs. Clustering is proposed using the typical movement pattern extraction algorithm. Optimization indexes are set to achieve optimal typical movement patterns. The auxiliary sensors capture the interactive movements of the audience with the artwork and collect logical information. Behavioral pattern templates for various types of viewers are constructed using viewer attribute labels. In the user classification method based on behavioral patterns, edges in the graph are used as features, and an optimization problem is constructed to solve the importance of each feature for audience classification. The implementation of interactive features greatly enhances the interactive experience of the audience. It makes the audience’s novelty evaluation score of the system reach 8.671. The classification algorithm based on the behavioral model performs well in all evaluation indexes, which indicates that the system proposed in this paper meets the audience’s digital and interactive needs for new media art exhibitions.
Combining Li Zehou’s Aesthetic Theory and Emerging Technologies - Exploring the Construction of an Interactive Academic Field
Authors: An Bo
Published: October 2024

The use of emerging technologies to construct an interactive academic field of Li Zehou’s aesthetic theory aims to promote the study of Li Zehou’s aesthetic thought and the development of contemporary Chinese aesthetics. Based on the content and characteristics of Li Zehou’s aesthetics theory, the article describes the innovative application of emerging technology in academic communication, constructs the academic field of Li Zehou’s aesthetics theory on the basis of Bourdieu’s field theory, and designs the framework of the interactive academic field by combining with emerging technology. Relying on Li Zehou’s interactive academic field for the construction of a multi-layer innovation network model and providing relevant quantitative methods for interactive academic field network metrics. The dataset is constructed with the relevant literature of Li Zehou’s aesthetics theory from 2005 to 2022 as the search target, and the network density, central potential, clustering coefficients, and path lengths of the interactive field are analyzed, and the evolution characteristics of the multilayer field network are explored. The cross-border innovation multilayer network density of the interactive field of Li Zehou’s aesthetic thought fluctuates around 0.092, approaching the mean value of central potential up to 65.76%, and the average clustering coefficient fluctuates in the range of [0.25,0.35]. The cooperative sub-network and the technology sub-network have smaller path lengths with larger clustering coefficients, indicating small-worldness. The interactive academic field combining emerging technologies can promote the widespread dissemination of Li Zehou’s aesthetic ideas.
Integration of Virtual Reality Technology and Innovative Teaching Practices in Rehabilitation Education and Management
Authors: Zhou Jing , Zhou Yang , Shan Shuzhi
Published: October 2024

At present, the scale of rehabilitation medicine professional education is difficult to meet the needs of society, the traditional one-way transmission of the teaching mode is not effective, and there is a lack of standardized personnel training programs. This paper proposes rehabilitation education and management practices based on virtual reality technology. Using 3DMax software, the VR scene for rehabilitation education and management practice was constructed, and the scene’s rendering effect was optimized with the help of the SSAO algorithm. By exploring the teaching function orientation of virtual reality technology, the VR scene can be integrated into rehabilitation teaching in colleges and universities so as to design a rehabilitation management teaching mode based on VR technology. The results show that no matter which dataset, the frame rate of the improved SSAO algorithm is greater than that of the SSAO algorithm, and the difference is specifically shown as 7~15 frames/s. In addition, there are significant differences between the teaching mode of this paper and the traditional teaching mode in terms of the quality of teaching, assessment scores, and satisfaction (P<0.05). The research in this paper can effectively enhance the theory and skill level of students, resulting in better innovation in rehabilitation education and management practice.
Information Flow and Knowledge Management Strategies in the Digital Transformation of Party History and Party Building Education
Authors: Ding Wendui , Liu Ningning
Published: October 2024

In this paper, a relatively complete digital education management information system is established for the digital basic education resources involved in the field of basic education of Marxist theory to realize the digital transformation of party history and party-building education. Faced with a large amount of student data, the improved new BP model is utilized for integration, cataloging, and prediction. The data elements describing the resources are used as semantic tags to generate XLM documents in a standardized format, which enables the system to exchange data with other resource systems easily. It can be observed that the BP model accurately predicts and analyzes the shared learning behaviors of certain students with a prediction accuracy of 98% upon analysis. The educational management information system proposed in this paper can effectively identify potential risk-takers and categorize learning groups. The indicator of resource-sharing learning behavior has a significant effect on the learning effect of Marxist theory (P<0.05).
An investigation of methods to improve the accuracy of classical dance steps based on machine vision recognition technology
Authors: Liu Wenjing
Published: October 2024

Methods that use motion capture data to analyze human behavior are highly interpretable and offer significant advantages in vision-based dance step analysis. In this study, we propose a fusion feature extraction method that describes the rotational information embedded in the skeleton and combines the advantages of single-skeleton feature extraction and Li group feature extraction methods for recognition. The feasibility and validity of the proposed model are verified by conducting recognition experiments on BVH data of classical dance steps performed by subjects. In the ablation experiments, the average accuracy of the classical dance step recognition model based on fused features for step movement recognition is improved by 3.01% and 1.86% compared with the neural network model and the Lie group network model, respectively. It has been proven that adding rotation information to skeletal features can effectively differentiate 3D motion trajectories in similar dance steps. Furthermore, the dance movement trajectories derived from this model are very clear and can be utilized to direct the correct joint point positions throughout the movement. The recognition accuracy of the fusion feature extraction-based recognition method for all seven classical dance basic foot positions is greater than 90%, which reflects the accuracy of the proposed machine vision model in recognizing classical dance steps.
Integration and Innovative Application of New Media Technology in Literary Creation in the Digital Age
Authors: Wang Luan
Published: October 2024

Based on the characteristics of digital literature, this paper proposes a new trend in the development of autonomy and human-computer interaction in digital literary creation. In view of the changes in the path of literary dissemination, it describes the mechanism of interaction between the digitization of literature and the audience, as well as the content. Taking the integration of literary creation and technology as an entry point, the Skip-Gram model is used to realize the parameter training of Chinese vocabulary, and combined with the binary language model, the joint distribution probability of each group of words is found and the optimal word splitting scheme with the highest probability is obtained. The attention mechanism of the improved channel effectively enhances the performance of the network model for the sequence learning task and predicts the currently occurring words according to the contextual features, realizing the automatic generation of literary creation content. To assess the effectiveness of the new media technology application, quality assessment indicators are introduced. Literary creation content on the two platforms has a mean value of 3.4 and 3.425, which are both of good quality. The overall user activity was above 20 and reached a peak of 45.265 in August, with a year-on-year increase ranging from 0.648 to 1.589, a significant increase in activity, and the integration of new media technology significantly enhanced the enthusiasm for literary creation.
Exploring the Path of Teachers’ Career Development and Skill Enhancement in Colleges and Universities for the Intelligent Era
Authors: Jiang Lei
Published: October 2024

Teachers are the purveyors of ideas and culture, the bridge connecting the past with the present and the future, and the continuous innovation of technology brings new requirements to college teachers. This paper takes the teachers of six undergraduate colleges and universities in Yongyang as the research object, designs the self-administered questionnaire as the measurement tool of this paper, then conducts the questionnaire survey and collects the data in a combination of online and offline methods, and finally processes the data by using the Pearson’s correlation coefficient method and the PLS regression model. The influence coefficients of the variables of “ideological dynamics” and “role identity” on the variable of “teachers’ professional development level” are 0.337 (P<0.05) and 0.355 (P<0.01), which are significant. 0.01), reaching the level of significance. The influence of social security (TS1), teacher management (TS2), teacher training (TS3) and teacher’s willingness (TS4) on the skill level of higher vocational teachers in descending order is as follows: teacher training (0.301), social security (0.231), teacher’s willingness (0.175), and teacher management (0.045), and the influence of social security and personal factors on the skill level of higher vocational teachers is as follows: teacher training (0.301), social security (0.231), teacher’s willingness (0.175), and teacher management (0.045). The professional development and skills of teachers in higher education. While teachers implement the new development concept, build a new development pattern, and actively improve themselves, society and schools also need to give certain welfare protection to form a path of career development and skill enhancement for teachers in colleges and universities.
Research on online interactive teaching mode of college vocal music based on adaptive Kmeans algorithm
Authors: Dong Le
Published: October 2024

In order to improve the comprehensive learning quality of students when teaching university vocal music courses, teachers can create a teacher-student interactive teaching mode with a wide platform, precise business, and many approaches by carrying out interactive teaching. The research introduces the cuckoo algorithm for adaptive optimization on the basis of the traditional K-means algorithm, gives the clustering process of the adaptive K-means algorithm, and constructs an online interactive teaching system to realize the clustering of the characteristics of online interactive behavior of teachers and students. Finally, we use the speech in the vocal music classroom as an example to explore the online interactive teaching characteristics of vocal music. The traditional vocal music classroom is mainly a teacher-driven teaching mode. The frequency of teacher-student interaction is low, the proportion of students’ active questions to students’ active speech is 2.13%, and the teacher is less likely to organize students’ exchanges. In this teaching mode, the teacher encourages the acceptance of the proportion of speech is 16.17%, 75% of the classroom students use the online teaching system is higher than the teacher frequency, followed by the proportion of teachers using the online teaching system and the proportion of using the traditional teaching mode is close to 3:1, based on the online teaching system of the interactive teaching mode of the feedback effect is better.
A Study on the Construction of Mental Health Indicators for College Students Based on Social Media Data Mining and the Evaluation of Their Intervention Effects
Authors: Ji Huaichen
Published: October 2024

The development of social media has brought many tests to the mental health education of college students, and some college students have fallen into network addiction and dependence, which greatly affects their physical and mental health. The article uses microblogging social media as the source of students’ mental health data and preprocesses the data using data de-emphasis and Chinese word separation. It also analyzes the problematic manifestations of students’ mental health in colleges and universities, extracts students’ mental health indicators by using the TF-IDF algorithm, and realizes the recognition of students’ mental health topics by using the BTM model. The CNN-LSTM-ATT model was established by introducing the attention mechanism and LSTM model to assess the mental health status of college students. The data was analyzed in terms of students’ mental health characteristics predictive validation and used to develop intervention strategies for students’ mental health. The text length of students’ mental health is [1,22], which occupies 86.98% of all sentences, and the AUC value corresponding to the BTM model is 0.946, and the prediction accuracy of the CNN-LSTMATT model for the assessment of students’ mental health in colleges and universities can reach up to 97.62%. The social media data can clarify the mental health status of college students and realize the construction of students’ mental health intervention strategies from the dimensions of students’ media literacy and regulatory mechanisms.
Informatization strategy for the management of laboratory safety operation platform for mining majors in colleges and universities
Authors: Jiang Qinghua
Published: October 2024

Constructing an intelligent management platform for laboratory safety informationization for mining majors in colleges and universities is an important way to achieve campus safety in colleges and universities, and safety assessment is the core of this work. This study proposes to establish a laboratory Tripod-Delta model to establish the factors that affect laboratory safety and analyze their weights through a C-OWA operator to provide directions for the design of an intelligent platform. The fuzzy set qualitative comparative analysis method is employed to analyze the conditional grouping of laboratory accidents, given multiple factors that cause laboratory safety accidents. Among the established factors affecting the safety of mining professional laboratories in colleges and universities, according to the weight analysis, it can be seen that colleges and universities need to pay more attention to the influence of safety facilities (15.88%), instrument materials (14.03%), management system (12.35%) and experimental habits (10.6%). And there is a need to pay more attention to the human aspect. The sum of the factors under this aspect is the largest, which is 29.49%. Using the fuzzy set qualitative comparative analysis method for grouping analysis, we get five groupings leading to laboratory accidents, starting from the causal relationship leading to the frequent occurrence of laboratory accidents in colleges and universities, to provide a reference for the construction of laboratory safety management systems in colleges and universities.
Data-driven modeling of capital liquidity changes during financial market crises
Authors: Lu Man
Published: October 2024

Against the backdrop of the ongoing global financial crisis, clarifying the mechanism of the role of the drivers of capital liquidity changes is the basis for maintaining financial stability during financial market crises. This paper proposes the basic hypothesis of capital liquidity changes during a financial market crisis, with reference to related studies. Subsequently, a data-driven model of capital liquidity changes during the financial market crisis is constructed based on the vector autoregressive model, and the main nodes of capital liquidity changes during the financial market crisis are obtained according to the changes in the degrees of freedom of the model. The MCMC method is utilized to assess the model’s smoothness and ensure the stability of the data-driven model of capital liquidity changes. The empirical analysis of the model finds that the positive shock of capital liquidity change on stock growth rate exhibits a positive response, and the stock growth rate explains 0.527% and 1.292% of the capital liquidity change on average during one year of financial market crisis. It has also been found that the arbitrage motive drives capital liquidity more strongly during a financial market crisis compared to the hedging motives. The model proposed in this paper helps to prompt policymakers to monitor the changes in capital mobility and make useful decisions in a timely manner, which in turn maintains the stable operation of the financial market.
Innovation of Teaching Methods of Civic and Political Education in Colleges and Universities with the Assistance of Artificial Intelligence
Authors: Lv Huan
Published: October 2024

Artificial intelligence empowers education and promotes its integration and innovation, enabling the use of learning analytics to accurately diagnose the learning situation and implement precise teaching. In this paper, we have leveraged artificial intelligence to innovate traditional teaching methods, developed a wisdom teaching model specifically for college civic education, and concentrated on the precise application of wisdom teaching in this context. First, it creates student profiles based on academic data and then provides personalized recommendations for learning resources by combining a collaborative filtering algorithm and an improved K-means algorithm. Finally, we analyze the actual impact of the teaching intervention by comparing the student portraits before and after the intervention. When the number of neighbors K takes the same value, the improved cosine similarity calculation method outperforms other calculation methods, and the RMSE, MAE, accuracy, recall, and F1 values are 0.14, 0.24, 0.99, 0.74, and 0.85 when K = 60, respectively, which indicates that the algorithm improvement in this paper is practical. This paper categorizes the sample students into four groups based on their learning behavior and outcomes: potential, excellent, marginal, and hardworking. All these student types have demonstrated some progress following the teaching intervention, confirming the efficacy of this paper’s artificial intelligence-based teaching approach for college civic education. Simultaneously, the created profiles of these student types establish the groundwork for future personalized and accurate instruction.
Research on the Construction of Economic Statistical Model and Application of Data Cleaning Technology in Big Data Environment
Authors: Peng Ziying
Published: October 2024

With the rapid development of big data technology, the number of economic data grows faster, and it is more challenging for people to grasp and calculate economic data. In this paper, an economic statistical model is proposed to optimize data-cleaning technology. The economic data application framework is constructed using Multi-Agents, and the mining of economic data is achieved using Microsoft time series and clustering algorithm. The GMDH algorithm, which is the core of self-organized data mining, is proposed and improved to complete economic data analysis and prediction by using the fitting error or prediction variance criterion as the identification criterion. The wild value identification method based on the regression model is utilized to eliminate potential wild values and carry out data cleaning. Statistical analysis of the economic data of the printing industry in Shanghai, China, reveals that the total assets, total industrial output value, and total profit of the printing industry in Shanghai in 2023 declined by 2.63%, 4.77%, and 5.68%, respectively. External investment and enterprise R & D investment up to 109,440,100 U.S. dollars, 140,301,000 yuan. The overall number of employees declined, and the profit margin on output value decreased by 5.68%. It is predicted that the number of enterprises, total assets, total industrial output value, and total profit of Shanghai’s printing industry will rebound in 2024, and the external direct investment and R&D investment will be appropriately reduced.
Plot Dynamic Adaptation and Character Interaction Design of Artificial Intelligence in Musical Theater Performing Arts
Authors: Wang Yingyueyuan
Published: October 2024

In recent years, artificial intelligence technology has received widespread attention in the field of artistic creation. This paper proposes the use of intelligent software to create a musical work that matches the emotions of the audience when they watch a musical performance so as to mobilize the development of the musical plot and to involve the virtual digital man in the performance of the musical to increase the interactivity of the characters. Both the music automatic generation software and the application of the virtual digital person need to match the rhythm of the performance. Accordingly, this paper proposes a multimodal emotion recognition model based on deep learning, which is applied to recognize the audience’s emotions in real time to create music that matches the plot development and reasonable role interaction. Through simulation experiments, the average recognition rate of multimodal based on decision layer fusion is 84.8%, which is slightly higher than the average recognition rate based on feature fusion and much higher than the average recognition rate of single-modal speech emotion (67.5%) and face expression (78.5%). 76% and 73% of the audience members liked the “music” and “character” elements of the musical performance with AI technology, and 62% of the audience members expressed their desire to watch it again.
Study on Response Strategy and Efficacy Improvement of China-ASEAN Emergency Security Symbiosis Mechanism Based on Data Mining Technology
Authors: Wei Linshan
Published: October 2024

The emergency decision support system proposed in this paper uses data mining technology to analyze and mine a large amount of dynamic operation data and historical operation data in the China-ASEAN natural disaster database, which can be used to analyze the dynamic safety risk and optimize the emergency rescue and disposal plan for China-ASEAN natural disasters. In order to optimize the emergency decision support system, the core algorithm of data mining in the system is improved, an improved sequence analysis algorithm is proposed, and improvement measures are proposed on the basis of the inadequacy of the original Apriori algorithm. Through examples, the data mining algorithm’s specific process of automatically generating response suggestions for security events is demonstrated. The analysis of the data shows that the test results meet the expected results, and the algorithm can effectively make response decisions. The average false detection rate is only 8.05%. In scenarios 2, 3, and 4, all of them have higher emergency response efficiency, respectively, of 0.4445, 0.4616, and 0.5299. The completion time of the emergency response increases as the response level increases.
An Exploration of the Methods of Virtual Reality Technology to Enhance the Tourism Experience of Non-native English Speakers
Authors: Wu Shanshan , Zhang Liang
Published: October 2024

This paper combines virtual reality technology with end-to-end speech recognition technology to design a digital tourism system to satisfy non-native English speakers (tourists) with the advantage of interactive projection technology. VRML technology is utilized to accelerate network interaction and piggyback on the construction of the digital tourism system. Particle swarm-based hybrid collision algorithm and end-to-end English speech recognition algorithm are proposed respectively to construct a real and complete tourism environment and convert English speech to meet the tourism needs of non-native English speakers. The performance advantages of the improved AABB-MPSO algorithm are detected by combining the exploration of the influence of the size of the search space on the search success rate and search time. Analyze the relationship between the number of modeling units and the recognition error rate of the end-to-end English recognition model with a joint CTC and attention mechanism, using spoken speech of free conversation in real scenes. The seven digital tourism experience dimensions of scenic integrity, scenic service quality, scenic authenticity, scenic infrastructure, degree of commercialization, English recognition and conversion, and cultural connotation embodiment are delineated to explore the key factors of tourism physical examination. Non-native English speakers’ evaluation of the digital tourism experience is generally high, and the mean value of each dimension is greater than “3”, which means that the digital tourism system designed in this paper can meet the tourism needs of non-native English speakers.
Strategies for Modern Art Product Morphogenesis and Functional Optimization Based on Computer-Aided Design
Authors: Xu Jing , Zhu Qi
Published: October 2024

The research constructs a computer-aided design-based morphological design system for art products and processes it with a BP neural network and genetic algorithm for optimization. Computer-aided design techniques such as face segmentation, morphological proportion design, homogeneous curve drawing and organization, chamfer setting, and management methods are introduced to design the morphology of art products. By analyzing the error value of each part of the product in the design of sculpture products in this paper’s art product morphology design system, the performance of the product morphology design of this paper’s system is examined. The color characteristics of the art products are deconstructed and analyzed by comparing the hue, brightness, and purity of the designed sculpture samples. The mean square error values of each part of the sculpture product (head, arms, torso, legs) are 0.0046, 0.0019, 0.0073, and 0.0036, respectively, and the overall average mean square error is 0.0044, which makes the art product morphology design model based on computer-aided design of this paper have good accuracy. The values of hue, brightness, and purity of the main color of the sculpture product are relatively stable, with the range of hue being roughly 4~8 and the main range of brightness and purity being 20%~40% and 20%~40%, respectively. The brightness and purity of auxiliary colors and accent colors are both steady, and the purity of auxiliary colors is greater than that of the main color. The accent color has the largest range of hues in the selection of hues.
Using Game Theory to Analyze the Effects of Different News Communication Strategies on Public Opinion Formation
Authors: Zhu Haibo
Published: October 2024

In this paper, the public opinion game model is introduced through the analysis of game theory and news dissemination theory. According to the basic assumptions to form the payment matrix, the mathematical derivation of the benefit expectation function, to get the replication of the main body of the dynamic equations, and its equilibrium point of the stability of the test, so as to complete the construction of the public opinion game model under different news dissemination strategies. The model of this paper is validated and analyzed when the news dissemination to the public economic loss Lg
is higher, leading to the rise of the probability of strict government regulation, prompting the public judgment and self-opinion ability to improve. If the government does not intervene in the news media, the gray gains of the news media Re

2 gradually increase, resulting in the lack of relevant, correct knowledge of the public. In this paper, we study the impact of different news communication strategies on the formation of public opinion and promote the formation of public opinion.
A synergistic study on farmers’ income enhancement and urban-rural financial development under the perspective of common wealth by an intelligent decision support system for land improvement
Authors: Teng Man
Published: October 2024

This paper proposes the general framework and technical process of the intelligent decision support system for land improvement based on a multi-objective artificial immunity algorithm. Based on the analysis of the current situation of land use structure and spatial layout in County S, three land resource quantity structure optimization schemes are selected, and the improvement of agricultural land use efficiency and agricultural output value in the three schemes are evaluated and analyzed. The mechanisms that affect income distribution in urban-rural financial development and land finance are summarized. The results show that after land improvement, the area of cultivated land and grassland in County S decreased by 1,444 ha, and the area of garden land and forest land increased to the greatest extent in the economically prioritized scenario. The size of towns increased to 541 ha, and the size of villages decreased to different degrees and all three land improvement programs had the combined effect of increasing the gross agricultural product and boosting farmers’ incomes. The development of urban and rural finance is aided by land improvement, but the degree of inequality in income distribution is widened.