bluuebunny/crossref_metadata_2025_split huggingface dataset:
Survey on Pain Detection Using Machine Learning Models: Narrative Review
Authors: Fang Ruijie , Hosseini Elahe , Zhang Ruoyu , Fang Chongzhou , Rafatirad Setareh , Homayoun Houman 
Published: July 2024

Background
Pain, a leading reason people seek medical care, has become a social issue. Automated pain assessment has seen notable advancements over recent decades, addressing a critical need in both clinical and everyday settings.

Objective
The objective of this survey was to provide a comprehensive overview of pain and its mechanisms, to explore existing research on automated pain recognition modalities, and to identify key challenges and future directions in this field.

Methods
A literature review was conducted, analyzing studies focused on various modalities for automated pain recognition. The modalities reviewed include facial expressions, physiological signals, audio cues, and pupil dilation, with a focus on their efficacy and application in pain assessment.

Results
The survey found that each modality offers unique contributions to automated pain recognition, with facial expressions and physiological signals showing particular promise. However, the reliability and accuracy of these modalities vary, often depending on factors such as individual variability and environmental conditions.

Conclusions
While automated pain recognition has progressed considerably, challenges remain in achieving consistent accuracy across diverse populations and contexts. Future research directions are suggested to address these challenges, enhancing the reliability and applicability of automated pain assessment in clinical practice.
Editorial Note
Authors: Costella Annalisa , Mullins Benjamin 
Published: July 2024

Oftentimes many individual acts lead to a significantly (dis-)valuable outcome though the performance of each act makes no valuative difference to that outcome. Such cases give rise to a dilemma. For it seemingly doesn’t matter whether one performs an act (or not) if it doesn’t make a difference. Yet it matters a great deal when many of these acts are performed, provided they bring about a significant outcome. One might think, therefore, that at least some reason favours the performance of such acts. But in the absence of a valuative difference, it is difficult to say what that reason is, exactly.
The above dilemma arises in both intrapersonal and interpersonal cases. For instance, in the intrapersonal case, it seemingly makes little difference to my goal of running the marathon whether I skip a single workout. Yet it makes a significant difference to my goal of running the marathon if I skip all of my workouts. And, in the interpersonal case, it seemingly makes no difference to the bad effects of climate change if I choose to be a vegan or not. Yet it makes a significant difference to the bad effects of climate change if we all choose to be vegans. This dilemma has generated a substantial body of literature in both ethics and rational choice. Surprisingly, however, there has been little crossover between the two fields of study. The motivation for the special issue was to offer an avenue to explore new solutions or perspectives on the dilemma through the lens of one, or both of these fields.
Karakteristik Mushaf Nusantara Telaah Kodikologi Mushaf Standar Indonesia, Baḥriyah dan Al-Quddûs Bi Al-Rasm Al-‘Uśmâni
Authors: Prasetiawati Eka , Husin Al-Munawar Said Agil , Muhammad Ahsin Sakho 
Published: July 2024

AbstractThe paper examines the codicological elements of three Nusantara Mushafs: Mushaf Standar Indonesia, Mushaf Baḥriyah, and Al-Quddûs Bi Al-Rasm Al-'Uśmâni. This study employs a qualitative methodology based on library research with a comparative approach. The study found that MSI had the following characteristics: manzil, juz, hizb, ruku', a simplified waqaf sign, and punctuation on fatḥah qâimah, kasrah qâimah, and ḍammah maqlûbah. Mushaf Baḥriyah features 15 lines per page, no sukun, no tasydid, and no small mîm sign. Waqaf follows the as-Sajawandi school and has 12 lines. Mushaf Al-Quddûs features tarkîb tannin for pronuncing izhar, mutatâbi' tannin for pronuncing idgâm, ikhfâ', and iqlâb, and zaidah letters use mustadîr sifrun, a little alif harakat. The three Nusantara Mushafs differ in their use of tanwins, waṣal hamzah, mad ṭabî'i reading markings, waqaf, and rasm. MSI and Al-Quddûs follow the Khalaf Husaini school, while Baḥriyah follows the as-Sajawandi school.Keywords: Al-Qur’an; Characteristics; Codicology; Mushaf Nusantara. AbstrakTulisan ini membahas tentang karakteristik mushaf Nusantara serta menganalisa aspek kodikologi dari ketiga mushaf Nusantara: Mushaf Standar Indonesia, Mushaf Baḥriyah dan Al-Quddûs Bi Al-Rasm Al-‘Uśmâni. Penelitian ini menggunakan metode kualitatif yang didasarkan pada library research, dengan pendekatan komparatif. Hasil penelitian ini adalah karakteristik MSI terdapat manzil, juz, hizb, ruku’; mempunyai tanda waqaf yang disederhanakan; aspek tanda baca pada fatḥah qâimah, kasrah qâimah dan ḍammah maqlûbah. Sedangkan karakteristik Mushaf Baḥriyah, setiap halaman terdiri dari 15 baris, mad ṭabî’i tanpa sukun, idgâm tanpa tasydid dan iqlâb juga tanpa tanda mîm kecil, waqafnya mengikuti mazhab as-Sajawandi ada 12. Karakteristik Mushaf Al-Quddûs, tanda tanwin tarkîb untuk bacaan izhar, tanwin mutatâbi’ untuk bacaan idgâm, ikhfâ’, dan iqlâb; huruf zaidah memakai sifrun mustadîr, harakat alif kecil. Terdapat perbedaan dari ketiga mushaf Nusantara yaitu penggunaan tanwin, hamzah waṣal, harakat bacaan mad ṭabî’i, tanda waqaf dan rasm-nya. Tanda waqaf MSI dan Al-Quddûs cenderung mengikuti mazhab Khalaf Husaini, sedang Baḥriyah mengikuti mazhab as-Sajawandi. Kata Kunci: Al-Qur’an; Karakteristik; kodikologi; Mushaf Nusantara.
Analysis of the Influence Path of Civic Education on Students’ Comprehensive Quality Enhancement in Colleges and Universities under the Perspective of Three-Whole Parenting
Authors: Ren Jiwei 
Published: July 2024

Abstract
The concept of “three whole education” has become the focus of the reform of ideological and political education, and the collaborative education of ideological and political education has become an inevitable trend in the development of ideological and political education in colleges and universities in the new era. This study starts from the ideological and political education in colleges and universities, analyzes the influence path of the improvement of students’ comprehensive quality under the perspective of three-whole-parenting, and constructs a system of ideological and political education based on three-whole-parenting. On this basis, in order to further analyze the effectiveness of comprehensive quality improvement, the quantile trace regression model is constructed, and a prediction model for the learning effectiveness of Civic and Political Education is established by combining the dynamic data of students’ status and characteristics. The results show that the error of the achievement prediction model is within ±2 points, and the correlation coefficients of the dimensions of social factors and social factors are greater than 0.426 and 0.51, respectively, which have a more significant effect on the improvement of comprehensive quality. School factors, family factors, and social factors are able to significantly positively affect the dimensions. P is less than 0.001, the college Civic Education on students’ comprehensive quality of the score of the average increase of about 27 points. This study proposes a solution path for exploring the influence factors of Civic and Political Education based on Three-Whole Parenting.
Using big data analysis to optimize the two-wheel-drive model of green finance composite talent cultivation
Authors: Wang Rui , He Zhihao 
Published: July 2024

Abstract
The pervasive shift towards carbon neutrality is fundamentally transforming the trajectory of the financial sector and concurrently poses novel challenges for the development of multi-skilled talent in green finance. This paper adopts the sustainable development strategy of green finance as a theoretical framework, critically examines the specific talent needs within this sector, and proposes a model for cultivating composite talents accordingly. Employing the Koch assessment model, this study constructs a robust evaluation system for composite talent training. The entropy weighting method is utilized to allocate weights to various indicators, subsequently forming an assessment cloud model. Moreover, a multiple linear regression analysis is introduced to identify and analyze the determinants influencing the effectiveness of talent training initiatives. This research centers on University A, where a meticulously designed questionnaire was deployed to gather empirical data pertinent to the evaluation of talent training. The findings reveal that the dual-wheel drive approach to talent development primarily accentuates the action level, assigning it a weight coefficient of 0.3246. The overall assessment score for the effectiveness of talent cultivation stands at 72.42, indicating a favorable outcome. Among the variables studied, the pedagogical content and methods implemented by higher education institutions exhibit the highest influence coefficient of 0.492. Additionally, it is observed that a 1% increase in the scale of financial institutions correlates with a 0.358% enhancement in the effectiveness of talent cultivation. Given these insights, universities must enhance their collaborative efforts with financial entities to significantly boost the quality of composite talent cultivation in green finance.
Research on the Integration of Discourse System of Chinese Indigenous Art Theory and Art Aesthetics
Authors: Wang Zhiyang , Liu Feng , Liu Guangyuan 
Published: July 2024

Abstract
The long-term development of Chinese art theory can not be separated from the art theory doctrine system constructed by the West. In order to integrate Chinese art theory with aesthetics, it is necessary to localize the construction of Chinese art theory. This paper starts from the foundation of Chinese art aesthetics and proposes the direction of the construction of the Chinese art aesthetic discourse system. Based on the guidance of art discourse graph theory, combined with the BERT extractive summary model, the discourse relationship system is divided into four steps: task determination, vector representation of discourse units, graph encoder establishment, and discourse unit selection. Applying the model to reality analysis, the results are as follows: “art definition” is the keyword with the highest frequency and centrality in the field of art theory and aesthetic fusion after appearing in 2017, which is 295 times and 0.896, respectively. Art theory and aesthetic fusion of art are separated into two stages, based on 2020 as the demarcation line. After 2020, the keyword intensity becomes “empathy”, “modern art,” and “art aesthetics”, with an intensity of 4.4966, 3.4321, and 3.4565, respectively. China’s local art theories are shifting towards art aesthetics, and the integration is a natural process.
Exploration of Enterprise Informatization Management Innovation Strategy Model Driven by Big Data Technology
Authors: Xu Zheng , Wang Jiancong 
Published: July 2024

Abstract
The development of big data technology provides new ideas and choices for the change of enterprise management style, and informationization management innovation becomes an important means to enhance enterprise competitiveness. In this paper, we mainly use the enterprise informatization maturity model, critical success factor method PDCA management cycle, and other methods combined with the Internet big data technology to study the optimization scheme of enterprise informatization management innovation. The evaluation model is used to evaluate the enterprise’s performance after informatization management innovation to assess the effect of enterprise informatization management innovation. Through the case study of Enterprise-A, which is mainly engaged in the manufacture of steel structure parts for new energy power generation equipment, it is concluded that the management structure of Enterprise-A is clearer, and the authority and responsibility of each department are more explicit after the optimization of information management innovation. The optimized collaboration platform system, human resource management information system, and mobile office system have contributed to Enterprise A’s increased competitiveness in the market and industry. The evaluation index system of Enterprise-A, after the optimization of information technology management innovation, is constructed with 1 target layer, 8 criteria layers, and 24 index layers using the topological evaluation model. After calculating the weights and other work, it is concluded that the performance of enterprise A after informationization management innovation reaches grade 4, which is in the state of “good”. The optimization program of Enterprise A’s information management innovation is effective, as evidenced by this.
Research on the Development of Student Work in Colleges and Universities Suitable for the Characteristics of Contemporary Students in the New Media Era
Authors: Liu Maocan 
Published: July 2024

Abstract
The traditional paradigms and methods of student management no longer suffice to meet the evolving needs of students in the era of new media. Hence, it is imperative for higher education institutions to continually seek innovative approaches to student work management. To this end, a structured questionnaire was developed to investigate the adoption and impact of new media on student work management in colleges and universities. This survey was designed to align with the distinctive attributes of contemporary students and to explore novel pathways for student work in the context of the new media landscape. To further understand the factors influencing the quality of student work management services, a subset of students was selected for a detailed questionnaire survey. The data collected was subjected to causality analysis and multiple linear regression to assess the satisfaction levels concerning the evolution of student work management in the new media milieu. The findings revealed that the most frequently accessed media platforms among the sampled institutions were WeChat official accounts, with a usage rate of 76.01%, and university official websites, at 40.09%. Additionally, more than 80% of the students exhibited a preference for new media platforms over traditional media. Statistical analysis at the 1% significance level confirmed the impactful roles of respect and care, campus environment, and school management in influencing student job satisfaction. Notably, school management emerged as the most influential factor, with a standardized coefficient of 0.329, underscoring its paramount importance in enhancing student job satisfaction. This study provides valuable insights and serves as a foundational reference for the enhancement of student work management strategies in the digital age.
Research on the Path of Improving Vocational Literacy and Talent Ability of Nautical Students in the Era of Artificial Intelligence
Authors: Tang Decai 
Published: July 2024

Abstract
Nautical talents are the first resource and fundamental guarantee for the development of marine careers, strengthening the construction of nautical talents and realizing the effective supply of nautical talents have become the urgent task of building a strong marine country. This paper combines the basic situation of the current nautical personnel training and the training requirements of nautical personnel, constructs the vocational literacy and ability enhancement path of nautical students based on the integration of post-course, race, and certificate under the guidance of the OBE concept, and constructs the corresponding index system. Subsequently, combining the hierarchical analysis method and entropy weight method, the weights of the indicators in the evaluation system of nautical students’ vocational quality and talent ability are calculated, and the cloud model is utilized to evaluate the vocational quality and talent ability of nautical talents after cultivation. The results of the study show that the comprehensive evaluation level of the vocational quality and talent ability of the maritime students of Jimei University after the implementation of the pathway is “good”. Among the secondary evaluation indexes, the vocational concept evaluation cloud has the highest degree of affiliation, which is 9.31. This indicates that the vocational concept of navigation students is being cultivated at a very high level. The evaluation result of “vocational behavior” also belongs to the “good” level. The cultivation path proposed in this paper provides a reference for the enhancement of the vocational quality and ability of nautical talents, and it can improve the cultivation of nautical talents through the synergistic approach of government, industry, enterprise, and school, and guarantee the enhancement of the vocational ability and career expansion of nautical talents.
Research on Prediction of User Repurchase Behavior and Marketing Strategies in Internet Marketing
Authors: Liu Yanling , Wang Yueji , Feng Lei , Wu Yuyao , Hao Xuechao , Bhowbhandee Chanad 
Published: July 2024

Abstract
While users consume and shop on e-commerce platforms, they will generate a huge amount of data information, and tapping the potential value of these data can optimize online marketing and bring users a better consumption experience. This study aims to predict users’ repurchase behavior and formulate personalized marketing strategies by analyzing their repurchase behavior on e-commerce platforms. First, the improved RFM model and K-means++ algorithm are utilized for user value classification. Then, a model for predicting user repurchase behavior was constructed based on Logistic regression, XGBoost, and SVM, respectively, and the prediction effects were compared. Then, the prediction models UI and U-C are built based on the XGBoost algorithm from the perspective of user and product category, respectively, and fused using the Soft-Voting method. The prediction effect of the fused models is verified at the end. The F1 values for all three models in the test set are approximately 0.2, and the XGBoost model has a significantly superior prediction effect than the other two models. The precision, recall, and F1 values of the fused model are about 0.31, 0.26, and 0.28, respectively. These values have been improved by about 4%-19% compared to the pre-fusion. The fusion model’s ROC curve is located at the upper left corner and has an AUC of 0.82, indicating high accuracy and stable results. This study provides feasible suggestions for the development of online marketing strategies to promote user repurchase behavior.
Innovations in the PEDAGOGY Model in Basketball Education - Incorporating Cognitive Science and Educational Psychology
Authors: Bai Yong , Yang Guanghui 
Published: July 2024

Abstract
This paper attempts to establish a new educational methodology for the theoretical system of basketball education in order to further investigate the ideological basis, basic principles, and value and significance of basketball education. The study achieves this purpose by integrating cognitive science and educational psychology into the PEDAGOGY model. Firstly, it organizes the basic philosophy of basketball education, then integrates cognitive science and educational psychology into the PEDAGOGY model, reforms and innovates the current basketball education, and designs the basketball teaching mode after the model is innovated. Finally, in order to investigate whether the basketball teaching quality is affected after the innovation of the PEDAGOGY model, the main factors affecting the basketball teaching quality are screened by the factor analysis model and the EM algorithm. Through the empirical analysis, the basketball course teaching factor has the largest contribution rate of 25.632%, in which the loadings of embodied cognition reached 0.865 and psychological counseling reached 0.875, indicating that the PEDAGOGY model integrating cognitive science and educational psychology is the main factor affecting the quality of basketball teaching.
Research on the optimization strategy of matching the structure of vocational education and industrial development in Hubei under the background of big data
Authors: Cai Xu , Liu Junli 
Published: July 2024

Abstract
There is a certain gap between the current situation of matching vocational education graduates and regional industrial development letters in Hubei Province, which needs to be dealt with by the efforts of vocational education institutions, the government, industrial frontiers, and graduates themselves. Aiming at the current problems of Hubei Province that the match between vocational education and industrial development structure is not high enough and the level of cooperation between industry and education needs to be improved, this paper puts forward the optimization strategy of matching between industry and education in vocational education institutions that contains five suggestions. After designing the hierarchical analysis and fuzzy comprehensive evaluation method to construct the evaluation index system, the C1 vocational education institutions that carried out the optimization reform of industry-industry matching according to the strategy of this paper were compared with the remaining two ordinary vocational education institutions. It is found that the overall level of industry-education matching of C1 institutions, 87.489, is the highest among the three institutions and is excellent, and the scores of the first-level indexes are 87.095, 90.216, and 85.371, respectively. The satisfaction levels of faculty, curriculum construction, and enterprise benefit are 0.91, 0.9, and 0.95, thanks to the fact that C1 colleges and universities have introduced off-campus industrial mentors under the guidance of the strategy of optimizing the matching of production and education increased the number of applied skills courses, expanding school-enterprise cooperation and other initiatives have had obvious effects. The employment rate of graduates in their specialty counterparts has steadily increased from 69.4% in 2018 to 88.5% in 2023, and the degree of structural matching between vocational education and industrial development has significantly increased. This paper makes useful thinking and innovative strategies for achieving better matching between vocational education and industrial structure, and promoting industrial development and economic transformation and upgrading in Hubei Province.