bluuebunny/crossref_metadata_2025_split huggingface dataset:
Examining Indonesian Stock Price Movement Amid COVID-19 Pandemic: Which Sectors that Underperformed the Most?
Authors: Fakhrunnas Faaza , Ramadhani Almadita 
Published: October 2024

AbstractThe stock market is a financial market that is highly responsive to changes in economic conditions. Therefore, the stock market normally reflects the current economic conditions. This study discusses the effect of the COVID-19 pandemic on the Indonesian stock exchange in several industrial sectors. Using the event study method, this study utilized a time-series data over a five-month period starting from December 2019 to April 2020. To examine the short-run and long-run impact among the observed variables, this study also applied the ARDL (Autoregressive Distributed Lag). The findings showed that the COVID-19 pandemic affected stock performance, particularly in trade, service and investments, and agricultural sectors, all of which experienced a negative return on the day of the first announcement of the COVID-19 positive cases. In addition, the outbreak evidently influenced the cumulative abnormal return in the short run, but not in the long run. Keywords:Stock Market, COVID-19 pandemic, Event Study, ADRL, Cumulative Abnormal Return
Role Conflict on Employee Performance with Work Stress as An Intervening
Authors: Sijabat Rauly , Martanto Ignatius 
Published: October 2024

AbstractBased on empirical phenomenon related to the performance of employees in the Tanjung Emas Semarang Class I Port Authority and Authority office and the theoretical phenomena that show inconsistencies in the findings of the influence between variabelsdirect conductthe research on role conflict, work stress and performance. The influence of role conflict, work stress and performance is outlined in an empirical research model. Data related to the variabels studied were obtained through interviews with 126 employee respondents at Tanjung Emas Class I Port Authority and Harbormaster and Authority Officeand tested by using Structural Equation Modeling (SEM) approach. Statistical test results show that role conflict is statistically proven to have a significant positive effect on work stress; role conflictand work stress are statistically proven to have a significant negative effect on performance. Keywords:Role Conflict, Work Stress, Performance
Student Financial Well-being: Personal Factors and Financial Behavior as Antecedents of Financial Well-being
Authors: Margasari Naning , Andhini Mega Murti , Musaroh Musaroh , Bandara R. A. Seetha 
Published: October 2024

AbstractThe information age has the potential for a negative impact on materialism and a positive impact on ways of managing student finances. This can affect the financial well-being of students. This study aims to determine the antecedents of financial well-being in college students in terms of personal and behavioral characteristics. Personal characteristics and behavior are in terms of materialism, financial behavior, and financial self-efficacy variables. These variables are measured through a questionnaire instrument developed from previous research. The results of this study found that materialism and financial behavior had a negative and significant effect on financial well-being, but financial self-efficacy was not proven to have a significant effect on financial well-being. The results of this study provide practical implications in improving student financial well-being, such as through financial literacy to control student materialism and financial behavior. Keywords:Materialism, Financial Behavior, Financial Self-Efficacy, Financial Well-Being.
How Do Economic Development Indicators Affect the Poverty Level? Evidence from West Nusa Tenggara
Authors: Ali Muhamad , Agustina Laila Karina , Pahrudin Pahrudin 
Published: October 2024

AbstractThis study aims to determine the effect of GRDP, HDI, Economic Growth, and Unemployment Rate on poverty levels in West Nusa Tenggara Province. The method used the Random Effect Model as the selected model through a series of model selection tests and classical assumption tests. Regression results using the selected model show that of the four variables that cause poverty rates, only the HDI variable negatively and significantly affects poverty rates. Meanwhile, the other three variables (GRDP, economic growth, and unemployment rate) do not significantly affect poverty. The result suggests that the West Nusa Tenggara government should increase the HDI through stimulus programs in terms of education and health to provide more human resources, create more jobs for the lower and middle class to overcome unemployment and reduce poverty level, and expand the scope of GRDP and development in the economic structure sector to reduce the poverty level. Keywords:GRDP, HDI, panel data, random effects models
A Medication Management App (Smart-Meds) for Patients After an Acute Coronary Syndrome: Pilot Pre-Post Mixed Methods Study
Authors: Ehrler Frederic , Gschwind Liliane , Hagberg Hamdi , Meyer Philippe , Blondon Katherine 
Published: October 2024

Abstract

Background
Medication nonadherence remains a significant challenge in the management of chronic conditions, often leading to suboptimal treatment outcomes and increased health care costs. Innovative interventions that address the underlying factors contributing to nonadherence are needed. Gamified mobile apps have shown promise in promoting behavior change and engagement.

Objective
This pilot study aimed to evaluate the efficacy and usability of a gamified mobile app that used a narrative storytelling approach to enhance medication adherence among patients following acute coronary syndrome (ACS). The study aimed to assess changes in participants’ beliefs about medication and self-reported adherence before and after the intervention. Additionally, user feedback regarding the narrative component of the app was gathered.

Methods
Overall, 18 patients who recently experienced ACS were recruited for a 1-month intervention using the gamified app. Participants’ beliefs about medication and self-reported adherence were assessed using standardized scales pre- and postintervention. The app’s usability was also evaluated through a postintervention questionnaire. Statistical analyses were performed to determine the significance of changes in belief and adherence scores.

Results
Although 33% (6/18) of the participants did not use the intervention more than once, the remaining 12 remained engaged during the 30 days of the study. The results did not indicate a significant improvement in participants’ beliefs about medication following the intervention. However, self-reported adherence significantly improved (P<.05) after the intervention with a mean score going from 29.1 (SD 6.9) to 32.4 (SD 5.6), with participants demonstrating a greater self-efficacy to their prescribed medication regimen. However, the results did not indicate a significant improvement in participants’ beliefs about medication. With a mean average score of 80.6, the usability evaluation indicates a good usability rating for the gamified app. However, the narrative storytelling component of the app was not favored by the participants, as indicated by their feedback.

Conclusions
This pilot study suggests that a gamified mobile app using narration may effectively enhance medication self-efficacy and positively influence patients’ beliefs about medication following ACS. However, the narrative component of the app did not receive favorable feedback from participants. Future research should focus on exploring alternative methods to engage participants in the app’s narrative elements while maintaining the positive impact on adherence and beliefs about medication observed in this study.
Data-Driven Audits: Audit Analytic Platforms and General Ledger Analytic Tools
Authors: O’Leary Daniel E. , Richardson Vernon J. , Weidenmier Watson Marcia 
Published: October 2024

SUMMARY
The future of auditing is a data-driven audit, which extracts and analyzes digital data stored in client accounting systems. To help conduct data-driven audits, audit firms are developing audit analytic platforms (AAPs). This paper focuses on one key application tool of AAPs that analyzes the entire population of general ledger transactions. These general ledger analytics tools (GLATs) use assessment routines to assign a risk score to each transaction, helping guide the auditor’s planning, risk assessment, and selection of high-risk transactions for substantive procedures. GLATs help support audit quality and provide valuable new insights about client operations. We discuss the analytics routines used by GLATs, the forces driving their use, and some potential limitations of this technology.
Data Availability: Data are available from the authors.
JEL Classifications: M4.
Research on the Language Acquisition Model of Non-Native English Learners Based on Artificial Intelligence
Authors: Ruan Xinbei 
Published: October 2024

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.