bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application and Development of 3D Printing Technology in Clothing Design
Authors: He Cancan 
Published: May 2024

Abstract
As traditional hand knitting is limited, it can only make simple three-dimensional stacking and flat knitting texture of the garment. This paper applies 3D printing technology to improve this drawback. Establishing research variables for clothing design by combining the geometric characteristics of the STL model after layering with the characteristics of 3D printing technology to construct an optimization model for 3D printing technology. The contradiction between molding quality and molding efficiency is a typical multi-factor and multi-objective optimization problem. To solve this kind of optimization problem, a genetic algorithm is used to search for the optimal solution of the objective function in the feasible domain space, aiming to optimize the parameters of 3D printing technology. An in-depth analysis of the application practice of 3D printing technology in apparel design is presented, which further points out the implementation architecture of apparel design incorporating 3D printing technology, and the performance test of apparel incorporating 3D printing technology is carried out. The data show that the average values of ST (thickness difference), B1 (warp bending stiffness), B2 (weft bending stiffness), E51 (warp elongation), and E52 (weft elongation) are 8.386mm, 5.22 μNm, 0.16 μNm, 0.421%, 0.252%, which indicates that the garments designed based on 3D printing technology have good tensile properties and hand feel appearance, and are more in line with the comfort and aesthetic demands of consumers for garment design. It shows that the garments designed using 3D printing technology have good stretchability and a hand-feel appearance, which is more in line with the comfort and aesthetic demands of consumers nowadays.
Problems and Reform of Business English Translation Teaching in the Background of Artificial Intelligence
Authors: Fan Derui 
Published: May 2024

Abstract
In order to solve the problems of business English translation teaching, a corpus-based teaching model is proposed. The API and web crawler are used to collect data from the business English corpus, and the overall corpus structure design is completed according to the acquired data. The corpus is pre-processed with lexical processing, theme extraction, category labeling, and other operations to ensure the feasibility of the corpus. The limitations of traditional business English translation teaching are highlighted, and the structure and implementation process of the corpus-based business English translation teaching model are thoroughly examined. The research subjects are selected, and experimental comparisons are applied empirically to analyze the corpus-based business English translation teaching. The data show that the mean translation score of the experimental group increased by 8.1247. In contrast, the mean translation score of the control group not only didn’t improve but also decreased by 0.8806, and the mean interpreting score of the experimental group increased by 0.608. In contrast, the mean interpreting score of the control group increased by 0.172, which indicates that the corpus-based business English teaching mode has a facilitating effect on the improvement of the student’s abilities in all aspects of English.
Exploration of Precision Teaching Reform of Ceramics Education in Higher Vocational School under the Background of Big Data Technology
Authors: Yue Xing 
Published: May 2024

Abstract
The article adopts Unity 3D and Leap Motion technology to develop the interaction scene and creates modules, including pottery knowledge learning, virtual pottery gesture teaching, and pottery work display. Pottery knowledge and gestures are taught to students through virtual teacher guidance and gesture interaction. At the same time, grid structure definition, vertex calculation, and feature representation techniques are used for modeling and extracting features from pottery works. In terms of knowledge point mastery and work creativity, students using the virtual pottery system perform significantly better than traditional teaching methods according to teaching practice. For example, the knowledge point mastery scores of the virtual group were considerably higher than those of the conventional paper-and-pencil and clay groups (P<0.05), and the creativity scores of the works were significantly better than those of the control group (P<0.001). In addition, students’ learning engagement (including cognitive, affective, and social engagement) was significantly improved in the virtual group. By combining big data technology and virtual reality technology, the teaching effectiveness of pottery education in higher vocational schools has improved dramatically. The virtual pottery teaching system enhances students’ mastery of knowledge points and creativity of works while also enhancing their learning engagement, demonstrating the significance and potential of technology in art education.
Research on Innovative Strategies of Kindergarten-based Specialty Programs under the Concept of Ecological Education
Authors: Wu Heng 
Published: May 2024

Abstract
Ecological education is essential for fostering sustainable development and nurturing an ecologically civilized society. It is imperative to embed ecological principles within the pedagogical framework of early childhood education. This study explores the integration of environmental concepts into kindergarten curricula, adopting a child-centric approach to curriculum development. An innovative strategy for specialized programs in kindergartens is proposed, grounded in ecological education principles. Utilizing item response theory, this strategy evaluates young children’s environmental literacy through item characteristic curves and information functions. Additionally, the effectiveness of the specialized, garden-based curriculum is assessed using clustering algorithms. Research conducted in X and N kindergartens reveals that the average scores for the condition, process, and result quality dimensions are 4.3212, 4.3257, and 4.2717, respectively—all surpassing the threshold of 4. These findings indicate that the specialized programs significantly meet the developmental needs of both children and teachers, effectively enhancing the conditions, processes, and outcomes of ecological education in kindergartens.
Analysis of the Advancement and Practice of Smart Education Models on Adolescent Physical and Mental Health Education
Authors: Zhao Yongjun , Zhao Hanqing , Yang Xuxia 
Published: May 2024

Abstract
This paper utilizes a correlation-based smart prediction model to construct a smart teaching model for mental health. In the ABaisSvd model, the GD algorithm is used to iteratively update the matrix and optimize it by minimizing the error between the reconstructed achievement matrix and the original achievement matrix. The potential impact of attendance behavior and bias factors on grade prediction was also considered, and the prediction function was implemented and optimized after analyzing the correlation between student grades, attendance behavior, and bias factors through dimensionality reduction. According to the analysis of smart psychological teaching practices, 8.1% and 0.65% of students at University X experienced moderate and severe psychological problems, respectively. The smart classroom achieved a score of more than 87 points for the dimensions of appropriate use of educational techniques and obvious educational effects. The level of smart classroom and mental health in Group I was significantly higher than before the experimental intervention. There was no significant change in Group II before and after the intervention. Still, the level of mental health after the intervention (1.75) was also slightly higher than that before the intervention (1.74), and more than half of the students got a sense of theoretical, practical, and emotional gain in wisdom teaching. To sum up, the wisdom education model in this paper has the potential to significantly improve the mental health of college students.
Clinical Study on the Combination of Digital Respiratory Training System and Traditional Chinese Medicine Five Elements Music for Respiratory Difficulty in Patients with Chronic Obstructive Pulmonary Disease
Authors: Wu Qian , Ai Kun 
Published: May 2024

Abstract
This study investigated the clinical efficacy of a digital respiratory training system integrated with Traditional Chinese Medicine (TCM) five-element music for treating respiratory distress in patients experiencing acute exacerbations of chronic obstructive pulmonary disease (COPD). Fifty-four patients were randomized into two groups, intervention, and control, with each group comprising 27 participants. The control group received conventional clinical medications, though 17 participants were lost to follow-up. In addition to standard care, the intervention group was treated with a digital respiratory training system combined with TCM five-element music, administered over 5-7 days. Outcomes were assessed using the COPD Assessment Test (CAT) score, the Pittsburgh Sleep Quality Index (PSQI), TCM syndrome differentiation scores, lung function tests, maximum inspiratory pressure (MIP), and maximum expiratory pressure (MEP). Baseline comparisons between the two groups showed no significant differences in CAT scores, TCM syndrome scores, or PSQI (p > 0.05). Post-treatment results revealed substantial reductions in CAT scores and TCM syndrome scores in the experimental group (p < 0.05), indicating an improvement in respiratory symptoms and quality of life. However, changes in PSQI were not statistically significant (p > 0.05), suggesting that the intervention did not substantially impact sleep quality and anxiety levels. This indicates that while the combined approach of digital respiratory training and TCM music can alleviate respiratory distress and improve overall well-being in COPD patients, its effects on sleep disturbances and anxiety are limited.
An analysis of the effectiveness of psychology education in colleges and universities based on the ARCS model
Authors: Wu Xiaomei 
Published: May 2024

Abstract
This paper combines the characteristics of the ARCS model and the goals of psychology education to design a model of psychology education that incorporates the ARCS model and explains in detail the structure and implementation principles of the model. The survey samples are determined, the research data are obtained by distributing questionnaires to three universities, the correlation coefficients of the research variables are obtained by using the formula for calculating the correlation coefficients in the linear regression model, and the regression equations are constructed with the help of the least squares method. The impact of integrating the ARCS model for psychology education was analyzed using the data that had already been processed. The results showed that the trailing “*” in the T-value of the experimental and control groups in the posttest assessment of learning disabilities, personality deficits, behavioral disorders, and other heart problems indicated that the correlation coefficients were at the 0.05 level of significance and that their correlation coefficients of the two-sided probability of relevance, Sig. (2-tailed), were all less than 0.05, i.e., they satisfied the P<0.05, indicating that there is a significant difference between the dimensions of the experimental group’s posttest and the control group’s posttest. After the psychological education integration of the ARCS model, the ability of students in the experimental group to overcome learning disabilities and behavioral disorders has significantly improved, which is considerably higher than the ability of students in the control group, confirming the feasibility of the research method in this paper.
Research on Concrete Compressive Strength Detection Technology Based on Intelligent Machine Vision
Authors: Dong Xianguo , Liu Jun , Li Yanan , Fu Liangqing 
Published: May 2024

Abstract
Concrete is the most common and important building material nowadays. Its compressive strength plays a crucial role in the result and safety of the building. To improve the efficiency of concrete compressive strength detection, this study combines intelligent machine vision technology to design a concrete compressive strength detection system. The features of concrete are extracted using the edge detection method. Then the extracted features are classified using the random forest method to complete the identification and localization of concrete. Based on this basis, the compressive strength of concrete is calculated and detected based on the conversion relationship between uniaxial compressive strength and point load strength. Finally, after testing the performance of the system, the practical effects of the system are examined. According to the results, the system’s detection rate is between 0.058 and 0.072 seconds, and the recognition accuracy and classification accuracy of the four different types of concrete detection exceed 80%. The relative error values for the detected compressive strength were 5.87% and 3.52%, respectively, and they passed the compressive strength detection of retardation diagrams in complex situations. The excellent performance of this study in real concrete detection meets the demand for concrete compressive detection in reality.
Dynamic analysis of planetary gear system for automatic transmission
Authors: Xue Huiling , Li Lijian 
Published: May 2024

Abstract
Dynamic analysis can provide a theoretical basis for controlling vibration and noise in gear systems, as well as calculating strength under dynamic conditions. This paper takes 6HP26 automatic transmission as the research object, takes the fifth-gear transmission as an example, adopts the centralized mass method to establish its translation-torsion coupling dynamic model, and analyzes the displacement response, torsional linear acceleration time-domain response and spectrogram of each component. This provides a reference for reducing vibration and noise in the system.
The Construction of Diversified Content System of College Civics Courses Based on Knowledge Mapping
Authors: Zheng Sisi , Cheng Si , Zhou Qi , Yang Dan 
Published: May 2024

Abstract
This paper firstly builds a diversified content system of ideological and political courses based on knowledge graph, extracts course knowledge, proposes a LEBERT-CRF entity recognition method that dynamically fuses words and word-level word vectors for the problems that arise in ideological and political courses, and uses dictionary adapters to integrate the features of ideological and political dictionaries into the BERT model, and then combines the resources of ideological and political courses to expand the data sources of knowledge graphs. Finally, taking the teaching and classroom of ideological and political courses in a university as an empirical study, the results show that the test results of the teaching objects on the feedback of ideological and political course content have very significant differences. The teaching observers give 8 “good” evaluations, 6 “average,” 5 “excellent” evaluations, and 2 “need for improvement” evaluations, indicating that the ideological and political elements are well integrated with the course content. The mean values of value orientation, ideological and political integration, ideological and political resources, discussion and interaction, reflection and evaluation, activity organization, technical support, resource push, and dual-line teaching were 3.776, 4.098, 3.874, 4.191, 4.075, 3.885, 4.265, 3.945, and 4.245, respectively. Students recognize the content system of ideological and political courses constructed in this paper. Therefore, the content system of ideological and political courses built in this paper can effectively solve the current situation of redundant and difficult-to-grasp ideological and political knowledge systematically.
A Study on the Value of Translated Texts in Business Japanese Literature Based on Multimodal Analysis Approach
Authors: Gao Shuai , Li Xin , Li Zhaohui 
Published: May 2024

Abstract
This study focuses on the textual value of business Japanese literary translations. By employing multimodal analysis, this paper extracts distinctive text features. It incorporates feature layer fusion to seamlessly integrate features from various modalities using an attention mechanism. These integrated features are then processed by a multilayer perceptron, which aids in classifying text-based emotions and extracting relevant emotional data. A specific research case has been selected to explore the communicative and emotional impact of translated texts from the audience’s perspective. The results show that in different modalities, the mean value of the print path is the highest (4.4056), and the movie and television path is the lowest (4.0749) in terms of audience preference. The book’s content is the primary focus of the audience. In terms of emotional value, the audience not only thinks about the obvious thoughts about “life (64)”, “love (143)”, and “sacrifice (74)” in the story but also about “faith” under these thoughts. Faith”, “humanity,” “justice,” “salvation,” and “betrayal,” “betrayal”.
Short- and longer-term goals for change – A report from the 2nd workshops of the EHC Think Tank Workstreams on Registries, the Hub and Spoke Model and Patient Agency
Authors: Bok Amanda , Noone Declan , Skouw-Rasmussen Naja 
Published: May 2024

Abstract
At the second series of workshops for the EHC Think Tank Workstreams on Registries, Hub and Spoke Model and Patient Agency, stakeholder participants worked towards consensus on addressing challenges to progress in areas identified in the first series of workshops. Each workshop identified a ‘guiding star’ determining the direction of ongoing focus, defined achievable ‘near star’ milestones, and explored the enablers and ‘constraints’ to achieving these.

Guiding Stars
The Registries Workstream recommended establishing rights- and responsibility-based international guidance to ensure accountability from all stakeholders contributing, collecting, handling and registry data. The Hub and Spoke Model Workstream proposed the development of a dynamic and agile health provision system to meet individual treatment, care and quality of life goals for people with rare disorders as they evolve. The Patient Agency Workstream recommended achieving a new cultural norm for patient agency embedded at all systemic levels, whereby health care is collaborative and based on patients’ ability to make choices and take ownership of decisions relating to their care and quality of life.

Near Stars
Four common themes emerged in near star milestones across all workstreams: 1. Mapping the system; 2. Collaborating and sharing; 3. Education and training; 4. Organisational change and good governance. Enablers include stakeholder experience in other specialties undergoing similar change; relevant examples of best practice; tapping into existing policy-making networks; adherence to government, regulatory, and inter-/intra-institutional quality standards; leveraging frustration in current systems to challenge mindsets and demonstrate the benefit of patient-centred insights to improve outcomes; and application of technologies (e.g. distributed analytics, algorithms, telemedicine, remote monitoring). Constraints include limited understanding of national and cross-border legal and regulatory requirements; a lack of awareness of and reluctance to accept the need for change or to take responsibility for making it happen, or a misunderstanding of whose responsibility it is; time limitations; a lack of meaningful outcome measures; a lack of understanding of key factors for success; and financial issues.
CATCH 2023 Meeting Summary: Collaborate & Address Treatment Challenges in Haemophilia
Authors: Benson Gary , Curry Nicola , Fletcher Simon , Gregory Will , Harrison Cathy , Laffan Mike , Lowe Gillian , Khair Kate , Kirk Susan , McLaughlin Paul , Percy Charles , Player Denise , Whitaker Sarah 
Published: May 2024

Abstract
Access to treatment and healthcare services for people with haemophilia in the United Kingdom (UK) and Republic of Ireland ranks highly by international standards for contemporary haemophilia management. Collaborate & Address Treatment Challenges in Haemophilia (CATCH) is an annual Sobi™ medical education meeting which brings together multidisciplinary haemophilia treaters throughout the UK and Ireland to discuss all aspects of haemophilia management, including associated challenges and unmet need. This report summarises key issues explored and discussed during CATCH 2023, including ‘raising the bar’ in haemophilia care; haemophilia care for women and girls; changing haemophilia treatment paradigms to consider disease impact as well disease severity; bone health and haemophilia; and shared decision-making.
A multi-stakeholder collaborative approach to awareness, education and support needed in the haemophilia gene therapy patient journey – a report on insights from a European patient advisory board
Authors: O’Mahony Brian , Fletcher Simon , Baarslag Manuel , Khair Kate , Breederveld Daan , Jansen Nathalie , Pembroke Luke , Pinachyan Karen , Sivasubramaniyam Sujan 
Published: May 2024

Abstract
Gene therapy presents a potentially transformational approach to haemophilia management. The patient journey for gene therapy is unlike that for other haemophilia treatments, and its one-time, irreversible nature has led to broad agreement that informed shared decision-making is essential. Understanding the educational and support needs of people with haemophilia (PwH) who may consider or undergo gene therapy in the future is key to enabling this. A one-day patient advisory board was conducted with the aim of gaining insights on what education and support would enable PwH to have appropriate conversations with health care practitioners (HCPs) about gene therapy and participate in informed shared decision-making. The participants were 11 age-diverse men with severe haemophilia A or B, including six who had received gene therapy in phase 1-3 clinical trials. Two were members of a national patient organisation or a patient organisation leader. Participants agreed that informed shared decision-making was essential for gene therapy, but most felt the choice to have gene therapy would be limited by healthcare budgets and access arrangements. They identified key education needed by PwH to enable true informed decision-making, best delivered through a collaborative approach by patient organisations and HCPs. Eligibility criteria should be more widely shared within the community as part of general education around gene therapy. Gene therapy should be presented as one of a range of treatment options; understanding its risks, uncertainties and benefits is key to managing expectations and minimising treatment remorse. Awareness of how different factor levels impact bleeding tendency and frequency would be helpful, as success of gene therapy cannot be determined by factor activity alone. Other key educational needs included follow-up commitments, the role and potential side effects of corticosteroids or other immunosuppressants, impact on sense of identity, mental health, family planning, and managing bleeds after gene therapy. Teach-back could help ensure appropriate levels of understanding; psychological support could aid managing expectations. Peer-to-peer learning delivered across a variety of platforms, to share experiences of gene therapy and contextualise more ‘formal’ gene therapy education, was considered invaluable.