bluuebunny/crossref_metadata_2025_split huggingface dataset:
Stereoscopic Image Enabled Animation Art Design Exploration
Authors: Cui Baoli 
Published: May 2024

Abstract
With the emergence of movie art, many related art forms were born. Animation art has gained a large number of audiences due to its exaggerated expression. In order to improve the problems of character image overlapping and scene distortion that may occur in the original two-dimensional space, this paper constructs a semi-global stereo image matching algorithm based on the use of point cloud matching in the animation screen for the determination of the screen position and the morphology of the animated character. To compensate for the radiation difference in the stereo image matching algorithm, object-square geometric constraints are proposed to improve the matching cost calculation process. After calculating the matching cost, the original animation model is optimized or rebuilt by creating a depth space image. Taking Disney animation characters as an example, the number of joints required for the reconstruction of the “Snow White” character is 2.9 times more than that of the “Mickey” character, but the reconstruction time of the skeleton is only 12 times longer than that of the “Mickey” character. However, the skeleton reconstruction time is only 12.1 seconds longer than that of the “Mickey” character, which indicates that the algorithm proposed in this paper does not produce a large difference in reconstruction time due to the difference in characters. For the construction of animated indoor scenes, in the eight experimental scenes, the maximum number of grids can be divided into 42365412, and the processing time required is 276.413 seconds. It shows that the algorithm in this paper is capable of subregionally refining the indoor space of the animation. The proposed semi-global stereo image matching-based pan can quickly reconstruct animated character models and animated scenes, as can be seen.
Multi-featured Emotional Expressions in English and American Literature - Based on the Application of Thinking Operations Modeling
Authors: Cui Xiaoke 
Published: May 2024

Abstract
Emotional analysis of English and American literary works constitutes a significant facet of literary scholarship. This study employs a cognitive operation model for analyzing emotional expressions in English and American literature, constructing a multi-featured method for emotion recognition and analysis, which serves as the principal analytical tool of the cognitive operation model. The research involves collecting and processing textual data from English and American literary works, followed by the application of the Senti-BERT model for vectorized representation. Subsequently, a bidirectional Long Short-Term Memory (LSTM) network is used to extract emotional vectors. Furthermore, a softmax function equipped with a multi-attention mechanism facilitates the classification and recognition of emotions. The efficacy of this model was evaluated using a pertinent dataset, with four literary works selected for empirical analysis. Results indicate that the predominant emotional tone across these works is negative. Specifically, the emotion of “anger” in Charles Dickens’s “Bleak House” was predominantly observed in chapters 0-2200, with an emotion value ranging between 20-30. This study provides a robust methodological framework for dissecting the complex emotional expressions in English and American literary texts, thereby enhancing readers’ comprehension of the nuanced meanings embedded within these works.
Principles of AIGC technology and its application in new media micro-video creation
Authors: Di Juan 
Published: May 2024

Abstract
AIGC, as a new generation of intelligent generation technology, provides new ideas for the progress and development of the new media field. This study constructs a communication model for new media micro-video creation based on the information communication model, analyzing the communication and development of new media micro-video creation. Combining the application characteristics of AIGC technology in new media micro-video creation and the needs of new media micro-video creation, it proposes the information hiding improvement method based on the GAN model and diffusion model. It constructs the AIGC optimization system based on new media micro-video creation. The model’s application effect in new media micro-video creation is explored after it passes the performance test. The results show that the average scores of all the indicators of the sense of using experience are above 3.5, the overall average score of micro-video creation is 4.12, and the peak traffic and cumulative traffic of the works created by utilizing this method have been improved by 17,000 and 1,910,000, respectively. The efficiency and quality of micro-video creation can be enhanced by using this study as a feasible reference.
Spatial Intelligent Design and Innovation for Indoor Environment - Visualization and Analysis of Web3D Technology
Authors: Sui Lili 
Published: May 2024

Abstract
Along with the popularization and expanding influence of Internet applications, Web 3D is born from various mature technologies driven by the demand for commercial interests in the Internet. This study designs an interactive intelligent design method for indoor environment space based on Web 3D, which has cross-platform and high-performance graphic drawing capability and covers indoor lighting material transformation, smooth switching of viewpoints, zooming of areas, and other interactive modes. It has cross-platform and high-performance graphic drawing capabilities and covers indoor lighting material change, smooth switching of viewpoints, area zoom, and other features. Based on the visual perception characteristics of the human eye, we obtain the user’s most realistic experience of the color of the indoor space and then construct the virtual indoor environmental space through the Web 3D system, and carry out a visual analysis of the indoor space under different materials and colors. The results show that under the visual analysis of Web 3D, the optimal distribution of color luminance values affecting the visual psychology of indoor environmental space is between 30.5 and 68.9nit, with a mean value of 49.59nit. The results can establish a favorable basis for the later indoor color configuration, which is in line with the visual characteristics of the human eye in indoor color configuration design practice.
Social Emotional Learning Modeling for Enhancement in Preschool Education
Authors: Wang Yexin , Zhang Mingyue 
Published: May 2024

Abstract
Social-emotional learning is an important part of young children’s overall development and has a positive effect on their social development, good emotional and moral character, and the formation of a healthy personality. This paper proposes a social-emotional learning model based on collaborative knowledge construction. It investigates the social-emotional learning ability of 50 toddlers in two large classes of X kindergarten in G city by combining the Peer Interaction Ability Scale, Emotional Understanding Test, and Interpersonal Problem Solving Test. The factors that affect social-emotional learning ability in the activities of the older class were studied to explore the enhancement of the social-emotional learning model in preschool education. The results showed that the social-emotional learning model can significantly (p<0.05) enhance the social-emotional learning level of young children in five dimensions: self-awareness, self-management, social awareness, interpersonal skills, and making responsible decisions. This study enriches the existing theoretical system of social-emotional learning and provides theoretical and practical support.
Intelligent design of cold storage room system based on low temperature process
Authors: Yang Juntong 
Published: May 2024

Abstract
In this study, we address the intelligent design requirements of a cold storage system by developing a monitoring module for operational oversight, setting up the requisite hardware and software operating environment, and establishing a three-dimensional digital twin-based intelligent decision-making system with the digital twin model serving as the core framework. In order to seek the best path for the operation of the refrigeration system and achieve the lowest energy consumption in the refrigeration system, the dynamic planning algorithm is used to configure the refrigeration system power-consuming equipment and analyze the energy consumption of the system unit under different θW values. For the control algorithm of the electronic expansion valve in the application of a low-temperature process in cold storage, the PID algorithm is introduced and optimized using a variable domain fuzzy control algorithm to explore the degree of system energy saving and control accuracy under the two algorithmic control methods. Under the same working conditions, the fluctuation range of the PID control effect is ± 0.8 ℃, the fluctuation range of the fuzzy PID control effect is ± 0.4 ℃, the fluctuation range of fuzzy PID control superheats is smaller, the system superheat maintenance is more stable, which is in line with the design of an intelligent system for cold storage room.
Analysis of clinical outcome risk factors in glioma
Authors: Wang Yuru 
Published: May 2024

Abstract
In this paper, survival curves and Cox regression models were used to form an integrated disease risk factor model. Stepwise Cox regression models using the AIC criterion and the BIC criterion were included in the comparative models, penalties were imposed on the regression parameters for variable selection, and important covariates were selected to analyze censored data so as to analyze the dependence of dichotomous outcome events and survival time on the covariates. Applying the model of this paper to investigate postoperative infection and seizure risk in glioma, the results showed that 104 strains of pathogenic bacteria were detected. Gram-positive bacteria were the most prevalent infection-causing organisms with 67 strains, with Streptococcus grass-green and Staphylococcus epidermidis being the most common. There were 34 strains (32.69%) of gram-negative bacteria, and Acinetobacter baumannii was the most common one. 3 strains (2.88%) of fungi were present. Cox regression analysis was used to screen for five independent risk factors for surgical site infections in patients undergoing glioma surgery: neutrophil ratio, lymphocyte ratio, surgical grade (III), duration of antibiotic use, and postoperative day three temperature. The presence or absence of preoperative epilepsy has an impact on the prognosis of glioma patients, with fluctuating seizures being the most common postoperative condition in patients with grade II-III gliomas, which often recur after 12 months of seizure-free epilepsy. To sum up, the findings of this report are highly instructive in determining the prognosis for glioma treatment.
Computer Simulation of Piano Tones and Design of Virtual Piano System
Authors: Zhang Yuting , Guo Anni , Pan Yu , Shi Wei 
Published: May 2024

Abstract
With the advancement of contemporary technology, there is an increasing demand for sophisticated tone libraries in intelligent and digital pianos. This paper introduces a virtual piano system based on timbre simulation. Drawing upon the articulation principles of the piano, a mathematical model is formulated to derive the equation governing string vibrations. This equation facilitates a comprehensive analysis of the components constituting piano timbre and establishes a model for synthesizing these timbres using a frequency envelope algorithm. The short-time Fourier transform (STFT) is utilized to extract features from the synthesized timbre and to accomplish its digital simulation. Subsequently, the integration of the piano’s timbre features with computer programming facilitates the comprehensive design of the virtual piano system. Performance testing and evaluation of the system reveal promising results: the detection rate for each musical piece exceeds 90%, with an average detection rate of 94.81% across ten pieces and an average deviation (Mean-D) of 3.35 in the scoring of 100 music samples. This research contributes to the flexibility in timbre editing, enhances the expressiveness of intelligent and digital pianos, and aims to elevate the music industry to new heights.
Analysis of the Role of Educational Policies in Promoting Educational Technological Innovation and Policy Networks
Authors: Zou Zenan 
Published: May 2024

Abstract
Adopting the policy network as a theoretical framework, this study constructs an educational policy network based on Roots’ theoretical model. It analyzes the roles and actions of actors within this network, as well as their interactions. Using a structural model, the research employs quantitative methods and empirical analysis to investigate the deployment of policy tools by the intergovernmental network in fostering educational technology innovation. Furthermore, this paper examines the influence of educational policies on promoting technological innovation in pedagogy through an empirical investigation of policy texts from 12 pilot zones dedicated to educational technology innovation. The results show that environment-based policy tools are used most frequently (62.67%), supply-based policy tools (24.26%), and demand-based policy tools (13.07%) are underused, and there are problems of imbalance, generalization, insufficiency, and shortsightedness in the use of tools. In the model hypotheses, performance expectations (P=0.032), enabling conditions (P=0.014), and incentive policies (P=0.009) have a significant effect on teachers’ behavioral intention to engage in 1+X pedagogical technology innovation. In summary, this paper successfully analyzes the use of policy tools in the policy network and concludes that incentive policies can drive innovation in educational technology.
Research on the Path of Improving the Parenting Ability of Teachers of Marxist Civics Classes in Colleges and Universities Based on Bidirectional Recurrent Neural Networks
Authors: Lv Feng 
Published: May 2024

Abstract
Drawing on the insights from the expert consultation form and the current state of parenting ability among teachers of Marxist Civics courses in higher education institutions, this paper initiates the selection of evaluation indicators for these teachers’ pedagogical skills. These indicators undergo reliability and validity testing before finalizing the evaluation system. Subsequently, the indices are quantified, and principal component analysis is employed to reduce the dimensions of these indices, resulting in an index feature matrix. The scores of these evaluation indices serve as inputs to a Bidirectional Recurrent Neural Network (BiRNN), with the comprehensive ability scores of Civics teachers as the outputs. This forms the basis for constructing a BiRNN-based evaluation model for assessing the educational capabilities of Marxist Civics course instructors in colleges and universities. The study then proceeds with an empirical analysis using this model. The results show that BiRNN (RMSE=0.0084, R=0.9948) can effectively improve the evaluation accuracy of the parenting ability of college Civics teachers, and B1 to B10 all show a significant correlation with the parenting ability (Y) of Civics teachers (Sig<0.05). The Person correlation coefficients are 0.607, 0.691, 0.472, 0.785, 0.499, 0.758, 0.437, 0.539 and 0.519 respectively. This study reveals in depth the factors influencing the parenting ability of Marxist Civics teachers, which is of great significance in promoting the enhancement of the parenting ability of Marxist Civics teachers in colleges and universities.
Display and Interaction Design of VR Technology in Environmental Design
Authors: Pang Jianbin 
Published: May 2024

Abstract
VR technology, with its unique interactivity and immersive environment display, has a wide range of application prospects in various industries. In this paper, starting from the display and interaction experience of users for virtual environment design, we propose the optimization experience path of virtual environment user display and interaction and build up the optimization technology framework based on this. AutoCAD modeling software is used to complete three-dimensional modeling, and a three-dimensional display technology based on dual-computer communication is proposed to display the virtual environment in three dimensions. In the interaction design aspect, the virtual hand is optimized for detecting targets and generating grasping gestures. In the application of the optimization technology framework, the hotel apartment of Yuntianlou Intercontinental Plaza in Wenzhou City, Zhejiang Province, China, was selected as the design content for the virtual environment design. In the interactive performance evaluation, the average user rating of the virtual hand interaction method is 0.42 points higher than that of the traditional mouse interaction method, and the average computing time of the interaction is only about 60ms. In the comprehensive evaluation test, the average value of the environment display and interaction experience modules is more than 4 points, which indicates excellent display and interaction experiences.
Optimisation Analysis of Enterprise Environmental Cost Accounting Based on Support Vector Machine Model
Authors: Sun Tongzhen 
Published: May 2024

Abstract
Environmental cost accounting, as a developing field, has been implemented in enterprises for only a brief duration, revealing several areas necessitating enhancements. This paper presents an environmental cost accounting method based on Support Vector Machines (SVM) to address the challenges posed by large and complex data sets in enterprise ecological cost accounting. The technique employs the Radial Basis Function (RBF) kernel to optimize the SVM model, derives the linear regression equation for the Least Squares SVM (LS-SVM) model, and preprocesses enterprise environmental cost data. It integrates Material Flow Cost Accounting (MFCA) to extract essential environmental cost-related data for enterprises. In the empirical application within a tested enterprise, the total cost attributed to resource loss amounted to 1,423,002.55 yuan, representing 4.89% of total expenses, with material costs accounting for the highest share at 86.35%. The analysis suggests that enterprises should prioritize monitoring and managing material costs to minimize resource wastage. Regarding the accounting for external environmental damage, sulfur dioxide and fluoride emissions from material quantity center 1 were identified as the predominant pollutants, exceeding 90% of emissions. This highlights the need for targeted energy-saving and emission-reduction measures for these pollutants to mitigate their environmental impact.
Application of Smart Wearable Devices in Sports Performance Analysis and Enhancement
Authors: Du Linying 
Published: May 2024

Abstract
Sports characteristics and physiological signals serve as critical benchmarks for analyzing athletic performance and enhancing training methodologies. This study explores the design and development of an advanced smart wearable device system tailored for monitoring sports training. This system is engineered to track athletic performance in real-time by integrating embedded wearable devices with sophisticated software. It primarily encompasses the recognition of human movement states, detection of electrocardiogram (ECG) signals, and monitoring of respiratory signals, thereby facilitating comprehensive analysis of human physiological parameters and movement metrics. This, in turn, supports athletes in optimizing their training routines. Empirical results from the study indicate that the mean-square error for both ECG and respiratory signals recorded during testing approximated ±0.8Hz, falling within the predetermined error tolerance range. Additionally, analyses of joint angle variations during running activities confirmed the efficacy of the proposed smart wearable system in improving sports performance.
Application of Automatic Driving Task Sequentialisation Monitoring for Band Operator Robots
Authors: Bai Yiming , Ruan Zhijie 
Published: May 2024

Abstract
Robotics is increasingly advancing across diverse sectors of industry and daily life, with particularly promising applications in autonomous driving. This research develops a robotic autopilot task serialization management system and conducts an in-depth analysis of how robot path planning influences serialization monitoring. The path planning system (PPS) has been enhanced through the integration of a behavioral tree path planning model and hierarchical decision-making processes. The performance of the newly developed PPS algorithm is evaluated through comparative simulation experiments against established path planning algorithms, such as Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) algorithms. The findings reveal that the PPS algorithm consistently achieves superior outcomes, planning paths with the shortest average length (188.673) and the lowest standard deviation (1.1547). Furthermore, it demonstrates optimal path efficiency and minimum energy consumption compared to four other migration algorithms. Additionally, the study observes the migration rates for node radii of 60 and 120 mm, which are 26% and 70%, respectively. Notably, as the number of robots and nodes increases, the migration rate stabilizes, underscoring the scalability and effectiveness of the PPS algorithm in complex environments.
Research on the Innovation of University English Teaching Mode Assisted by Mobile Technology Combined with SAMR Model
Authors: Cao Hao 
Published: May 2024

Abstract
With the burgeoning advancements in mobile technology, mobile learning has garnered significant interest across various sectors, emphasizing its crucial role in enhancing educational frameworks and nurturing students’ core competencies. This study uses the UTAUT model to create a research framework for the factors that affect teaching college English using mobile technology. Taking first-year students to junior students of a university as an example, the study collects relevant data through questionnaire surveys. It carries out correlation analysis, difference test, and regression analysis to explore the factors influencing college students’ English mobile learning. Then, combined with the SAMR model, the English teaching model of online integration and teacher-student synergy is proposed. The design of teaching experiments is used to study the effect of this paper’s teaching model. The analysis shows that community influence, performance expectations, effort expectations, content and resources, and perceived self-efficacy all have a positive effect on mobile technology use in English teaching (p < 0.001), with the effects of perceived self-efficacy (0.363) and performance expectations (0.331) being particularly significant. The receptive vocabulary, output vocabulary, and comprehensive test of the students in the experimental class improved by 12.34%, 20.65%, and 15.84%, respectively, and the application of mobile technology under the SAMR model has a significant contribution to the improvement of college students’ English proficiency.