bluuebunny/crossref_metadata_2025_split huggingface dataset:
Emotion Algorithm Analysis and Expression Optimization of Film and Television Drama Lines
Authors: Jiang Yuanfang 
Published: July 2024

Abstract
In today’s highly networked and information era, how to combine artificial intelligence technology with the field of film and television drama has become a key concern of the current academic community. Based on such problems, this paper adopts the n-gram model and DIFCH algorithm, respectively, to perform vector representation and feature extraction on the text of video drama lines and then puts the extracted sentiment features as inputs into the Bi-LSTM+Attention model for training and classification, and finally completes the construction of a sentiment analysis model based on improved LSTM. The constructed sentiment analysis model is analyzed by combining the sentiment dictionary of the stored data. The results show that the accuracy of the improved LSTM model with category extraction increases with the number of training sessions, and the overall accuracy exceeds 85%. In addition, the attention model makes the BiLSTM model improve 0.0186 and 0.0162 in classification accuracy and AUC value on average, indicating that the attention model can effectively improve the model to extract the text sequence features, which contributes to the performance of the sentiment recognition of film, television and theater lines. Finally, the optimization strategy of line emotional expression of actors in film and television drama is proposed from the aspects of scene and rhythm in the light of the current problem of insufficient ability and skill in line emotion expression of actors in film and television drama.
An Interactive Model of Audible Speech Communication in Film and Television Drama and Its Impact on Audience Engagement
Authors: Jiang Yuanfang 
Published: July 2024

Abstract
The evolution of communication forms exerts a significant positive influence on the interactive dynamics of film and television dramas, concurrently enhancing audience experience and participation. This study meticulously analyzed the characteristics of audio-language communication and interaction strategies within film and television dramas, utilizing the dynamics of the ascending force model. Subsequently, a novel model for calculating the communicative impact of film and television audio content was developed by integrating these dynamics with the broader communication influence. The model was formulated based on four primary factors: the buzz surrounding film and television dramas, their popularity, and their propagation speed. This culminated in the derivation of the final equation for the film and television drama influence dynamics model. A focused analysis on the communicative impact of specific film and television drama enterprises revealed that the company producing “BLWH” holds the highest communicative influence, with a score of 0.59, amongst twenty evaluated entities. The study’s methodology incorporated hierarchical regression analysis to test hypotheses, demonstrating that emotional and cognitive engagement in audio-visual communication significantly enhances audience participation in film and theater, evidenced by regression coefficients greater than zero and a p-value less than 0.01. Thus, it is confirmed that the quality of audio-visual communication interactions positively influences audience engagement in film and theater.
A Study on the Innovation of Chinese Language Learning and Teaching to Foreign Students in the Digital Era
Authors: Jia Tianyang 
Published: July 2024

Abstract
A shared and collaborative classroom learning environment is provided for geographically dispersed teachers and students by simulating the teaching and learning functions of a traditional classroom so that they can complete online interactive teaching through multiple communication methods. A weighted partitioning strategy is used to achieve rapid conversion of shared documents. The functional requirements of the virtual classroom system are analyzed from the user’s point of view, and the effect of teaching Chinese as a foreign language in the virtual classroom is examined by means of a questionnaire survey. After the survey, it is known that the most important abilities in teaching Chinese as a foreign language are basic knowledge of the language (4.41), expression and communication skills (4.42), and so on. Most of the teachers chose “greater than” for the effect of online teaching and the impact of offline teaching. The average scores for the specific and general objectives of teaching Chinese as a foreign language in virtual classrooms were 4.12 and 4.13, and the state of realization was good. There is still much room for improvement in student-student communication (3.72), and the type and quantity of Chinese learning materials are relatively scarce, so the enrichment of teaching resources has become an issue of concern to teachers and students.
Research on genetic algorithm optimization for agricultural machinery operation path planning
Authors: Song Xiuming 
Published: July 2024

Abstract
Food security is a critical strategic concern in agricultural production, where agrarian machinery plays a vital role as a fundamental input and a crucial tool for enhancing production efficiency. This paper details a methodology utilizing Global Navigation Satellite System (GNSS) measurement software to analyze farmland topography. This process involves terrain measurement, data acquisition concerning the terrain, and subsequent processing to create a raster map of the farmland. The path planning for agricultural machinery is then refined through an innovative application of the A* algorithm, which selects optimal routes on the raster for initial path generation. This study introduces a genetic algorithm (GA) to facilitate global path planning optimization and designs a local path planning algorithm based on a cost function. Both unobstructed and obstructed regular farmland grids are subjected to simulation analyses to evaluate the efficacy of the path-planning approach. Comparative analysis indicates that the A*-GA algorithm significantly outperforms other algorithms in various metrics, including the number of steering occurrences, the count of repeated job grids, and the job repetition rate. Specifically, when compared to the Particle Swarm Optimization (PSO) algorithm, the A*-GA algorithm demonstrates a reduction of 6.3 in the number of repeated job grids and a 2.735% decrease in the job repetition rate. Similarly, it shows a reduction of 6.2 in repeated job grids and a 2.582% decrease in the job repetition rate compared to the standalone GA algorithm. Furthermore, the enhanced genetic algorithm enables agricultural machinery to adeptly avoid obstacles, thereby ensuring operational safety and achieving the desired endpoint along the planned path. The findings underscore that the advanced genetic algorithm effectively orchestrates obstacle avoidance for agricultural robots, thus ensuring continuous operation and adherence to safety standards in agricultural machinery deployment. This integration of GNSS with advanced algorithmic strategies marks a significant advancement in precision agriculture, optimizing machinery pathways of improved farm outcomes.
Safety analysis and risk management of autologous fat grafting in facial anti-aging
Authors: Cao Zhiming , Zhang Junyi 
Published: July 2024

Abstract
Ageing makes facial tissue aging unavoidable, which is mainly manifested as tissue volume reduction and contour change, and autologous fat grafting can better meet the clinical application of facial anti-aging. In the article, a total of 80 patients with poor facial contour or facial aging from May 2022 to July 2023 in NanChang HanYa Aesthetic Hospital were selected. The lower abdomen or inner and outer thigh fat was extracted by swelling solution. The acquired fat was filtered, purified, and cleaned. Then, the autologous fat particles were injected above the face using a blunt-ended injection needle. The risk factors were analyzed by using the multivariate regression model. The effective rate of treatment effect based on autologous fat transplantation reached 92.50%. The MMP-1 level of the patients in the observation group was reduced from 125.34±12.45 ng/ml before the operation to 102.41±7.32 ng/ml after the operation. The facial skin texture of the patients was significantly improved. Patients with autologous fat grafting had a low complication rate of only 10%, and they were satisfied with the results of facial anti-aging treatment at 96%. Under clinical conditions, the incidence of EAD risk was higher in mixed steatosis (OR=4.715, 95% CI 1.413-8.792). Facial volume restoration and improvement of facial aging can be effectively achieved by autologous fat grafting, and patients were satisfied with the facial anti-aging results. Still, the clinical risks caused by autologous fat degeneration also need to be noted.
Research on the Multi-non-artistic presentation Form of Western Music History based on Weighted Function Algorithm
Authors: Zhao Hanbing 
Published: July 2024

Abstract
Western music has an important influence on the development of modern music, and in the digital era, the artistic presentation form of Western music history needs to be processed and analyzed more intelligently. The study constructs a data mining model based on Western music history using hierarchical clustering and Quality Phrase mining to quantitatively and statistically analyze relevant studies of Western music history. The development of each music genre is explored by utilizing statistics on the number of musicians per genre and geographical distribution. Western music’s presentation can be explored by analyzing the number of sounds, types of sounds, and frequency of occurrence. During the 30 years from 1991 to 2020, the top three research volumes of Western music history in descending order are classical music history (259), music aesthetics (109), and modern music studies (100). The music genres with more than 300 musicians include Baroque, Classical, and Romantic, all of which have been developing for more than 200 years. From the 1600s to the 1960s, there was first an increase in the number of musicians in each genre and then a subsequent decrease in geographical distribution, with Classical being the most typical genre.
Mechanisms of hydrodynamic parameters regulating sinking volume in ship navigation
Authors: Zhao Xin , Zhang Xujin 
Published: July 2024

Abstract
Ships navigating in the water need to consider their safety first, and the abnormal sinking amount of the ship will be a great threat to the navigation safety of the ship. In this paper, the relationship between hydrodynamic parameters and ship sinking amount is studied in order to realize the reasonable control of the ship by setting different hydrodynamic parameters so as to ensure the safety of ship navigation. Through Taylor’s formula to calculate the hydrodynamic parameters of the ship navigation, and through the combination of potential flow theory and boundary conditions, finally using Green’s function method in the surface element method, it is calculated that the sinking amount of the ship from hydrodynamic parameter 35000 to hydrodynamic parameter 3200000 is a gently increasing trend, and in the case of h/d=2.5, the ship’s speed Fn=0.25, the ship’s sinking amount appears to be oscillating changes.
The Application of Flipped Pair-Split Classroom Teaching Method in English Education of Public Security Colleges and its Effectiveness
Authors: Zhou Li , Hu Min 
Published: July 2024

Abstract
The classroom teaching mode combining the flipped classroom and the paired classroom can better emphasize the exchange of information between teaching and learning, learning and learning, and then solve the problems of students’ explanation, demonstration, and practice ability. This paper explores the English teaching process in public security colleges under the guidance of the new teaching mode on the basis of the flipped classroom and analyzes the applicability and feasibility of the flipped classroom to English teaching in public security colleges. In order to explore whether the English teaching mode of public security colleges under the flipped classroom can improve students’ English performance, this paper constructs an English teaching quality evaluation model for public security colleges under the flipped classroom by improving the BP neural network. Through the teaching experiment to explore the changes in students’ English performance, the English performance of the experimental class fluctuated greatly, with an average score rising from 60.563 to 77.582, which is an improvement of 28.1%. It shows that the effectiveness of English teaching is better in the flipped classroom teaching mode.
Interpreting Geometric Constructions in Artworks through Capsule Network Modeling
Authors: Zhou Xi 
Published: July 2024

Abstract
Interpreting the geometric structure of artworks enhances our intuitive grasp of their deeper meanings. This study employs a Capsule network model, incorporating a dynamic routing algorithm to correlate high and low-level geometric structural features of artworks. Additionally, an attention mechanism is introduced, forming a spatial attention capsule to capture the spatial context of the artwork’s geometric structure. To obtain images, a fixed-focus camera is utilized, followed by median filtering for image preprocessing and threshold segmentation using the maximum inter-class variance method to optimize recognition accuracy. The efficacy of the geometric structure recognition model, grounded in the Capsule network, is confirmed using a dataset of collected artwork images. The model achieves stability after 380 epochs, exhibiting an impressive accuracy of approximately 99.7% and a minimal loss of 0.025. Removing the attention mechanism results in a 4.06 percentage point decrease in model accuracy, whereas incorporating a dynamic routing algorithm boosts efficiency by 7.36%. Thus, the Capsule model proves highly effective in precisely recognizing and interpreting the geometric structures of artworks.
Diversified and Innovative Practices of English Translation Teaching Combining Multi-Cluster Structural Modeling
Authors: Zhu Dandan 
Published: July 2024

Abstract
This paper explores the diversified strategies of English translation teaching and the objectives of English translation teaching from various aspects and constructs a diversified teaching model of English translation. Then, it applies the structural equation modeling analysis method to deeply investigate the influence mechanism of diversified teaching of English translation on students’ English thinking, constructs a path model of the influence of diversified teaching of English translation on students’ overall and sub-competence of English thinking, and analyzes its influence effect. Finally, the moderating effect of diversified teaching of English translation on the English proficiency of students at different levels was investigated using the method of multi-cluster structural analysis. It is found that the total effect value of diversified teaching on critical thinking in English translation and problem-solving ability in English translation is 0.726 and 0.716, respectively, of which the indirect effect value accounts for 40.59% and 52.36% of the total effect value, respectively. This study verifies the feasibility, superiority, and universality of the teaching model proposed in this paper from several aspects.
Quality detection and storage and preservation of black diamond apples in Linzhi, Tibet based on hyperspectral and deep learning approach
Authors: Xu Dandan , Yuan Chao , Quan Hong 
Published: July 2024

Abstract
Apples are abundant in essential nutrients, including a variety of minerals and vitamins, and are readily digestible and assimilated by the human body. Commonly consumed worldwide, apples are particularly diverse in their varieties. The “Black Diamond” apple from Linzhi, Tibet, stands out as a significant fresh variety. This study utilizes hyperspectral imaging and deep learning techniques to investigate the impact of room temperature storage on the quality of Linzhi “Black Diamond” apples. Specifically, we assess alterations in quality indices such as hardness, weight loss, sugar-acid ratio, as well as the content of phenolics ketones, and volatile aromatic compounds. Our findings provide detailed insights into the effects of ambient storage conditions on the sensory and nutritional quality of these distinctive apples.
Bibliometric analysis of the current situation of research on the integration of Jiangxi’s red cultural resources into college students’ ideological and political education
Authors: Deng Chao , Baki Roselan , Liu Yanqin , Huang Xia 
Published: July 2024

Abstract
Jiangxi is rich in red cultural resources, and the integration of red stories into the ideological and political education of university courses is an important topic worth exploring in the curriculum design of all university teachers. In this paper, we selected 1596 pieces of literature on the research of integrating red culture into college students’ civic education, included in Chinese and foreign language databases between 2004 and 2023, and used CiteSpace software to visualize and analyze the annual number of publications, authors, keywords and other aspects of the literature. Co-occurrence relationship analysis, cluster analysis, and emergence analysis of high-frequency keywords were conducted through bibliometrics to study the cutting-edge trends and hotspots of research in this field. The study shows that the current research on the integration of red culture into the current situation of college students’ ideological education is in a period of rapid development, and the research trends and hotspots in this field mainly focus on “red resources” and “curriculum ideology”, with the emergence intensities of 8.925 and 5.934 respectively. This study comprehensively grasps the research hotspots and development frontier trends in this field, provides a reference basis for the choice of research direction in this field, and provides ideas for promoting in-depth ideological and political education in Jiangxi universities.
The effects of a happiness class group intervention on college freshmen’s well-being
Authors: Duan Zhongli 
Published: July 2024

Abstract
From the perspective of positive psychology, this paper attempts to explore the effect of happiness class group intervention counseling on the happiness intervention of first-year college students through the form of group counseling and the design of appropriate group activity programs using the training methods advocated by positive psychology. Taking first-year college students as the research object, designing group activities with happiness as the theme, carrying out group psychological counseling, and utilizing a combination of qualitative and quantitative methods to explore the differences in changes in the dimensions of happiness of first-year college students before and after the happiness class group intervention. The differences between the two happiness scores in demographic variables were compared, and a t-value test was conducted for the two happiness scores. Combined with members’ evaluation of the happiness class group intervention, the effect of the happiness class group intervention on the happiness of first-year college students was verified. The results show that there is no significant difference between the experimental group and the control group in the dimension of family satisfaction, p>0.05. There are substantial differences between the experimental group and the control group in the dimensions of school satisfaction, academic satisfaction, friendship satisfaction, freedom satisfaction, and environment satisfaction, p<0.05.
Stability analysis of high slopes and design of stabilization schemes for blocky slabbed rock bodies
Authors: Fang Lili 
Published: July 2024

Abstract
Ensuring high slope stability has become a critical technical challenge that threatens construction safety, restricts project progress, and affects safe operation. This research utilizes 3DEC software to establish the slope model, analyze the stability of high slopes with down-layer and anti-dip slab-cracked rock bodies using the discrete element method and strength reduction method, and investigate the influence of each feature of the slab-cracked rock body on the stability of the slab-cracked structure slope. Then, a slope was designed with the reinforcement scheme of “anchor anti-slip pile + prestressed anchor cable + drainage + slope protection” as an example to analyze the effectiveness of slope reinforcement under different anti-slip pile positions and sizes and to verify the effectiveness of the slope reinforcement scheme through the displacement changes of the slope. The results show that the slope safety coefficient is positively correlated with the rock mass, thickness, and strength of the cracked body. The most obvious effect is the rock mass, and the safety coefficients of the two kinds of cracked slopes when the rock mass is the highest are 4.464 and 6.714, respectively. The displacements in the X direction and the Z direction are reduced by 78.04% and 60.34%, respectively, and the reinforced design has played the role of limiting the decline of slopes. To some extent, it can ensure the effectiveness of the slope-reinforced scheme. The design of reinforcement plays an effective role in limiting slope decline, which can provide the stability of the slope to a certain extent.
Research on the Development of the Deep Integration of Digital Media Technology and Modern Art Education
Authors: Gao Beibei 
Published: July 2024

Abstract
Zero Sample Image Retrieval Technology This paper proposes a digital media technology for zero sample image retrieval based on the teaching methodology of modern art education classrooms. Then, it studies the zero-sample semantic segmentation network based on spatial embedding and researches the hidden space selection and construction, as well as related loss functions and parameter balance. As a demonstration, an empirical study is conducted in a modern art education classroom at a school. According to the experimental results, 45.3% and 49.6% of students and teachers acknowledge the use of zero-sample image retrieval technology in modern art education. In the quantitative study of the impact on students’ aesthetic ability, there is no significant difference between the scores of students’ aesthetic ability pre-test dimensions in the experimental and control groups in all five dimensions (p>0.05) and the dimension of aesthetic perception ability, the difference between the scores of the experimental and control groups in the pre-test is only 0.01±0.12.
Research on the Application of Traditional Graphic Patterns in Modern Jewelry Design Modeling under the Background of Multimedia Era
Authors: Geng Guangke 
Published: July 2024

Abstract
As traditional graphic ornament craft returns to the public’s attention, modern jewelry incorporating these ornaments has begun to emerge in the market, attracting significant interest. This paper combines traditional Chinese graphic ornamentation with modern jewelry design, employing hierarchical analysis to examine users and extract corresponding design elements. Parametric design is utilized to aid in contemporary jewelry modeling, and a parametric modeling generation system for modern jewelry, featuring design input, intelligent generation, and intelligent manufacturing as the main processes, is developed through software programming. Finally, design examples are used to verify the results. By incorporating traditional graphic ornament into jewelry design, the mean evaluation score for user preference across various dimensions ranges from 2.8826 to 3.3916, indicating that the design scheme is well-received and highly accepted. This study exemplifies the theory and method of applying traditional graphic ornament to modern jewelry design, providing a reference for similar designs.