bluuebunny/crossref_metadata_2025 huggingface dataset:
A CFD simulation method study on the aerodynamic characteristics of particle suspension in tobacco stem shreds separating
Authors: Zhou Yuanzhen , Dai Tiansheng , Duan Yishan , Xu Shuhao , Yang Zhixiong , Li Peiwen , Pu Xuewen , Zhang Baode , Liu Jie
Published: July 2024

To solve the problem of high tobacco content and serious tobacco waste caused by poor equipment parameter settings in the tobacco stem shreds air separation process of the existing air separator of tobacco cutting workshop, this paper proposes a computational fluid dynamics (CFD) simulation analysis strategy for the aerodynamic characteristics of particle suspension in the air separator of tobacco cutting workshop. Firstly, in response to the problem that CFD numerical simulation software can only be applied to spherical models and cannot directly simulate the process of tobacco stem shreds selection, the discrete element analysis strategy DEM is introduced for fusion improvement, achieving effective simulation analysis of tobacco stem shreds selection process. Secondly, in response to the existing literature not considering the movement of the cut stem particles in the air separator and neglecting the particle collision during the tobacco stem shreds separation process, which leads to a certain deviation in the analysis data, a collision simulation model considering the radial movement distance between the stem and the floating chamber wall of the air separation device is introduced, which is fed back into the DEM-CFD fusion numerical simulation process to deeply optimize the parameters and improve the recovery efficiency of tobacco consumption. Finally, a domestic cigarette factory brand tobacco stem shreds and sticks were used as the experimental object for simulation analysis, and the optimal separation negative pressure of the air separator of the tobacco cutting workshop was obtained, verifying the effectiveness of the proposed method.
Research on Equipment Optimization of Tobacco Stem Shreds Air Separator Based on Particle Suspension Characteristics
Authors: Duan Yishan , Zhou Yuanzhen , Dai Tiansheng , Xu Shuhao , Yang Zhixiong , Li Peiwen , Pu Xuewen , Zhang Baode , Liu Jie
Published: July 2024

To solve the problems of low model simulation accuracy and slow simulation algorithm running speed that is not suitable for actual production needs caused by neglecting particle motion collision in the existing air separator of tobacco cutting workshop during the tobacco stem shreds air separation process, this paper proposes an equipment optimization research strategy based on particle suspension characteristics for the Tobacco Stem Shreds Air separator. Firstly, using the principles of suspension separation and inertial separation, a two-stage separation device for tobacco stem shreds is designed, and a two-stage separation chamber model is established. Computational fluid dynamics (CFD) numerical simulation is used to study the separation chamber of the tobacco stem shreds two-stage separation device. Secondly, the Discrete Element Simulation Platform is introduced to improve and enhance the CFD strategy, and it is used for simulation analysis of the Tobacco Stem Shreds Air separator process to solve the problem of ignoring collisions during particle motion solely using the CFD strategy. Finally, a parallel computing strategy is introduced to construct a parallel discrete unit individual (DUI) based CFD strategy (DUI-CFD), which solves the problem of low computational efficiency in single-threaded DUI-CFD coupling simulation technology. The proposed method has been shown to accurately simulate the separation process of tobacco stem shreds in an air separator and achieve higher simulation calculation speeds, as demonstrated by the experimental results.
Detection and Application of Concrete Compressive Strength with Machine Vision Technology
Authors: Chen Yan , Zhou Hailong
Published: July 2024

This paper proposes research on concrete compressive strength detection based on machine vision technology in response to the problems of traditional concrete compressive strength detection methods. The original image is directly input into the network for training. There will be too much memory occupation. The efficiency is too low, it needs to be visually preprocessed to meet the requirements of the dataset to establish a high-performance concrete compressive strength detection network model. Then, the processed high-performance concrete compressive strength feature images are inputted into the Mask R-CNN network. The compressive strength features are extracted and trained by the convolutional neural network. Then, the extracted features are further processed with a bilinear difference to ensure their integrity, and finally, the construction of the high-performance concrete detection model based on Mask R-CNN is completed. Simulation experiments are used to analyze the detection and application of high-performance concrete using the theory of machine vision. The data show that the training and validation accuracies of the Mask R-CNN model are 96.75% and 96.52%, respectively, which are 5% and 3.77% higher than that of the migration learning network model (91.75%, 92.75%). In addition, the predictions of the Mask R-CNN model have a relative error of less than 0.05 compared to the actual values. The research presented in this paper is applicable to field strength testing of common concrete structures and can provide theoretical references for the study of construction materials.
Application of Real-time Motion Capture Technology in Street Dance Movement Analysis and Optimization
Authors: Zeng Yuhao , Zhao Shuang
Published: July 2024

With the advancement of motion capture technology, its application in dance movement training has become increasingly prevalent. This study explores the use of real-time dynamic capture technology for the analysis and optimization of street dance movements. A street dance movement system based on real-time motion capture technology is designed. Initially, the data obtained from sensors are fused using the Extended Kalman Filtering gesture fusion algorithm to identify street dance movements. Subsequently, the gestures of the street dance movements are matched with template movements using the DTW algorithm, facilitating movement optimization. Finally, the system is scrutinized for its performance and application analysis. The number of concurrent users of the system is in the interval of [90,99], and the average response time for uploading street dance moves and street dance move evaluation is 7.631s and 0.35s, respectively, which basically meets the design objectives. The maximum error, average absolute error, and root mean square error of the pose angles solved by the algorithm in this paper do not exceed ±1.61°, 0.20°, and 0.25°, respectively, and the algorithm is highly accurate and smooth, which meets the requirements of pose solving. Through the evaluation of 12 training learning results of 6 testers, it is found that the movements of the testers are more and more similar to the template movements after several training sessions, which verifies that the system in this paper can guide the learners to learn and optimize the street dance movements.
Personalized and humanized design of building interior environment using IoT technology
Authors: Qiao Mingzhe , Lv Yumei , Li Shaoli , Zhang Hongtao
Published: July 2024

The application of Internet of Things (IoT) technology has become more and more widespread, and the smart home based on IoT technology has penetrated thousands of households and the design of the internal environment of the building is also gradually intelligentized and digitized. This study realizes the personalized and humanized design of IoT technology in the internal environment of buildings through the design of a personalized smart home system based on IoT, which focuses on the use of the Apriori algorithm to mine the association rules of the user’s preferences for the internal environment of the building. Then, it uses the GA-BP neural network algorithm to predict the audience’s preferences and the PMV indexes so as to achieve the personalized and humanized design of the smart home system. And human-centered design. The system is evaluated for its performance and practical application, and the design effect of the building’s interior environment is examined. The network bandwidth bottleneck of the system is 2M, and the absolute error of the GA-BP prediction model is within (−0.04, 0.19), with an average accuracy of 99.245% and an improvement of 20.38% over the BP prediction model. The importance and satisfaction of all the scenario models of this system are within (3,5), the scenario model settings are more reasonable, the user satisfaction is high, and it can meet the user’s personalized and humanized needs. The results of this research can guide the personalized and humanized design of the internal environment of the building and provide certain theoretical references for the systematic study of the design of the internal environment of the building.
Research on the Teaching Quality Assessment System of “Great Civics and Politics Class” in Private Colleges and Universities in Jilin Province Based on Data Mining Algorithm
Authors: Yang Cuiping
Published: July 2024

The effective integration of the Civic and Political Science Program into higher education and its positive impact on the career and ideological development of students is not only the purpose of setting up the Civic and Political Science Program but also a prominent manifestation of the fact that colleges and universities attach great importance to the effectiveness of educating people. This study aims to construct a teaching quality assessment system for “big ideology and politics course” in private colleges and universities in Jilin Province, effectively utilize the results of the development of data mining technology, and better provide advice for the development of ideology and politics course education in colleges and universities. The study utilizes cluster analysis in data mining technology to derive the overall assessment items of the teaching quality assessment system, i.e., the four aspects of teaching preparation, teaching implementation, teaching effect, and teaching research. Different weights were assigned to four items, 13 primary indicators, and 53 secondary indicators in the assessment system using the improved Apriori algorithm. From the constructed teaching quality assessment system of “big ideology and politics course” in private universities in Jilin Province, it can be seen that the highest weight of teaching effect indicators among the four evaluation items is 0.35, and the highest weight of student learning indicators among the teaching effect indicators is 0.57. Such a hierarchical progression can be concluded that the teaching quality of “big ideology and politics courses” in private universities in Jilin Province has been improved by the Apriori algorithm. It can be concluded that private colleges and universities in Jilin province, in the process of educational practice and construction of “big ideology and politics course”, should focus on the teaching effect of the course and, at the same time, should give full play to the students’ subjectivity and creativity in the process of the course practice, so as to push the education and teaching of “big ideology and politics course” to a new level.
A Study of Characterization and Scene Interaction Narratives of Animated Characters Empowered by AIGC
Authors: Yan Lili
Published: July 2024

The development of artificial intelligence technology has become an important trend today and also provides rich means for the development of the animation industry. In this paper, a three-dimensional skeleton extraction model is first proposed through skeletal coordinate transformation, and then a skin deformation technique based on LBS linear hybrid skinning technology is introduced to complete the construction of the character animation generation algorithm. On this basis, a statistical-based scene layout template generation algorithm is proposed to extract spatial relationships in the corpus using the spatial semantic information extraction method and calculate the occurrence probability of objects so as to realize the generation of animated scenes. The PSNR and SSIM scores of the new model have improved by 6.3 and 0.53 points, respectively, when compared to the old model. The recognition accuracy of the latest model reaches 99.6% at a 15° rotation angle and 97.9% at a 30° rotation angle. The average score of the audience for the AIGC-enabled animation scenes is 7.5, which is satisfactory in general. The AIGC-enabled animation character characterization and narrative scene generation have been found to have acceptable results.
Research on Channel Modeling of UAV Based on Artificial Intelligence Reflective Surface
Authors: Ju Jiatian
Published: July 2024

Artificial Intelligent Reflective Surface (AIRS) is a kind of artificial two-dimensional surface with special electromagnetic properties that can control the absorption, reflection, and refraction characteristics of electromagnetic waves, thus realizing the modulation of the channel. It has a broad application prospect. Based on the fading characteristics of wireless channels, the article explores artificial intelligent, reflective surface-related technology and establishes an IRS-assisted UAV-MIMO channel model in combination with the wireless communication link of the UAV. For the statistical characteristics of the UAV channel, wireless in-site simulation software is used to carry out simulation analysis of its impulse response, space-time frequency correlation function, path fading, Doppler power spectral density, and other statistical characteristics. The peak value of the UAV path loss decreases from 143.8 dB to 129.9 dB when the wind speed increases from 6 m/s to 18 m/s in a fixed-height ground environment, and the communication delay distributions are between [0,450 ns] and [0,1550 ns] when the hovering height of the UAV is 100 m and 500 m, respectively. The Rice factor’s Doppler power spectral density value decreases by 53.48% when it is reduced from 1.2 dB to 0.05 dB. The absolute envelope amplitude of the channel of the UAV fluctuates between [-26.3 dB and 21.8 dB] after the optimal reflective phase design based on IRS adaptation. The use of AI reflective surfaces can facilitate the construction of the UAV channel model, thereby improving the communication quality of the UAV channel.
Construction of a model of differentiation in music teaching combined with the theory of multiple intelligences
Authors: Yu Yuanyuan
Published: July 2024

This paper summarizes the theory and nature of multiple intelligences and differentiated pedagogy and proposes a differentiated teaching model that integrates learning styles with numerous intelligences theory. Based on this model, the system provides each learner with a personalized learning program and dynamically generates a sequence of activities that align with the learner’s style characteristics. Teaching cases illustrate the practical application of multiple intelligences differentiated instruction in music classes. Results indicate that prior to implementing Multiple Intelligences Differentiated Music Teaching, student interest in music and music appreciation lessons declined with age, with only 67 students expressing a strong liking for music by the third grade. Following the implementation of differentiated music teaching, the percentage of students who appreciate the repertoire increased to over 41% across all grades and continues to rise. Creating a differentiated music teaching strategy according to students’ intelligence characteristics is effective and significantly promotes the development of students’ multiple intelligences, particularly bodily-kinesthetic, musical, and self-cognitive intelligence (P<0.05).
An Accuracy Study of Personalized Recommendation System for E-commerce Based on Big Data Analysis
Authors: Zhang Hua
Published: July 2024

E-commerce, as an emerging value chain model for the global economy, has greatly promoted development, while the impact of digitalization on traditional publishing enterprises is increasingly evident. In this paper, we propose a TextRank keyword extraction algorithm based on comprehensive weights, which extracts and assigns keywords that identify user information, behavior, and product characteristics. We then output a keyword weight table for user information, user behavior, and product keywords. Finally, utilizing an optimized collaborative filtering recommendation algorithm, we establish a recommendation model between the user-commodity matrix to build an e-commerce personalized recommendation system that provides users with more accurate customized recommendations. The practical application of the designed personalized recommendation system is examined to evaluate its accuracy. The MAE of this algorithm is smaller than that of user-based (0.8915, 0.9470) or item-based (0.8873, 0.9327) collaborative filtering algorithms, indicating that the improved collaborative filtering algorithm effectively enhances system recommendation accuracy. The direct effect value of recommendation strength is 0.344, with an indirect effect value of 0.018, leading to the highest overall effect value. This study provides users with convenient and attentive services, significantly enhances user experience quality, and generates substantial profits for the e-commerce platform.
Research on Case Study and Teaching Improvement of Civic Education Based on Ethics Theory
Authors: Sun Siyao , Ye Chaochen
Published: July 2024

Curriculum Civic and Political Education is the requirement of cultivating talents in colleges and universities in the new era, and comprehensively promoting the construction of curriculum Civic and Political Education is a strategic move to implement the fundamental task of establishing morality and educating people. This paper begins with the case of civic and political education based on ethics and explores the case study approach to education. Then, it combines the DEMATEL algorithm and explanatory structural equation modeling and utilizes the DEMATEL-ISM algorithm to dig out the influencing factors affecting Civic and Political education so as to propose the improvement of the Civic and Political education method based on ethics. Furthermore, the improved teaching method is applied to explore the effects of civic and political education by combining the independent sample t-test method. Among them, the concept of nurturing, the idea of intention, and the environmental atmosphere, with a centrality of 7.982, 7.173, and 7.162, in turn, are the key influence indicators of ideological and political education. There are significant differences (P<0.01) in the experimental classes in the dimensions of patriotism and idealism education, dialectical materialism education, scientific quality and social responsibility education, and ethical teaching. In the case analysis process of the silent running through the Civics, to explore the application of curriculum Civics in the process of ethics case teaching, and to promote the deep integration of ethics case teaching and curriculum Civics.
Quantitative modeling and empirical analysis of the communication effects of cross-cultural economic discourse
Authors: Zhang Tingfang
Published: July 2024

In cross-cultural economic communication, language, culture, and business activities are closely linked. In order to construct China’s foreign economic discourse system, this study selects five types of economic discourses of China’s cross-cultural communication, climbs relevant research data, and tries to use the improved AHP-CRITIC combined assignment method to convert the abstract foreign communication effects into measurable indexes, and establishes a set of comprehensive and systematic quantitative assessment model of the impact, so as to make the communication effects of the assessment objects comparable. We summarize the degree of influence of each indicator on the communication effect of the five types of cross-cultural economic discourse based on their assigned weights. We also quantify the communication effects of the five types of economic discourse based on the differences in the TOPSIS method. The dissemination effects of the five types of cross-cultural economic discourses are ranked as follows: “Belt and Road Initiative” (0.64215), “China’s Financial Reform” (0.55381), “China’s Economic Reform” (0.41473), “China’s global economic role” (0.39387), and “China-US economic relations” (0.28852). From the perspective of audience cognition, attitude, and behavior, this study suggests that the effect of foreign communication on cross-cultural economic discourse can be enhanced through three aspects: strengthening communication media, innovating content production, and strengthening the content production and construction of economic discourse.
Three-dimensional modeling of ancient yiyuan architecture using static laser scanning technology
Authors: Yin Shimei , Chuan Qin , Gang li , Jingjing Chen
Published: July 2024

The awareness of protecting traditional culture and humanistic landscapes is increasing year by year, and the protection of ancient gardens is becoming more and more a consensus among people. This paper takes the architectural profile of Guyi Garden as the research basis, introduces the specific application of 3D laser scanning technology, plans the scope of architectural data acquisition in Guyi Garden, and designs the corresponding architectural data acquisition program. With respect to the acquired point cloud data of GuYiYuan, the bilateral filtering algorithm is used to reduce the noise of the data, the curvature thinning algorithm is combined to reduce the point cloud data of the buildings in GuYiYuan, the point cloud data are spliced based on the connection point, and the ICP algorithm with the introduction of the optimization of the rotational angle constraints is introduced to realize the alignment of the point cloud data. In addition, the shadows generated from the point cloud data are removed by combining the relighting method, and the linear transformation method is also used to globally correct the texture image generated from the point cloud data. The point cloud density was reduced from 0.95m² to 0.01m² when the thinning rate was increased from 8% to 96%, and the alignment error of the improved ICP algorithm under 25dB Gaussian white noise was only 0.083*10-4mm. The maximum error accuracy of the two-dimensional model of Yiyi Nodang generated based on the point cloud data was only 0.007m, and the error of the three-dimensional model was controlled to be within the range of ±9mm. Accurate architectural data can be obtained through the use of 3D laser scanning technology, leading to a new method for digitally preserving historical buildings.
Study on the Synergistic Development of Business Environment Optimization and Industrial Upgrading in the Area: Based on the Perspective of Investment and Financing
Authors: Liu Chao , Li Xing
Published: July 2024

The business environment is the starting point and foothold of industrial upgrading, and it is also an important driving force for industrial upgrading. This paper is based on the investment and financing perspective to study the optimization of the business environment in the area of industrial upgrading to promote and promote the role of the two so as to achieve the effect of synergistic development of the two studies were constructed in the area business environment and industrial upgrading index system, and in the entropy weighting method of the indicator assignment, selected the relevant regional research data, through the linear weighting method to measure the level of development of the two. Empirical testing of the influence of the business environment on industrial upgrading is conducted by selecting the fixed-effect model, and investment and financing are added as an intermediary variable in the benchmark model. Finally, according to the empirical study of the impact of the business environment on industrial upgrading, it is concluded that in the benchmark regression analysis, with the introduction of control variables, the business environment shows a significant positive impact on industrial upgrading at least at the level of 10%. Meanwhile, investment and financing have an important mediating effect on the influence of the business environment on industrial upgrading.
Construction of innovation and entrepreneurship teaching capacity in colleges and universities and its optimization path based on differential equation modeling
Authors: Lian Fangfang , Zhang Peng
Published: July 2024

The rapid development of information and artificial intelligence technology has brought new opportunities for innovation and transformation in higher education, leading to innovative applications of data-driven-assisted teaching decisions. This paper analyzes the equilibrium point in predicting students’ performance using nonlinear differential equations, solves the expected value of students’ performance, and constructs a prediction model for students’ innovation and entrepreneurship performance. Student achievement data and characteristics are preprocessed to improve the accuracy of the prediction model. Based on Pearson’s coefficient, students’ innovation and entrepreneurship achievement are significantly correlated with teaching ability (P<0.05). The results show that, after implementing innovation and entrepreneurship teaching based on this prediction model, the predicted achievement of students in the intervention group is significantly higher than that of students in the control group (P<0.05). In the actual achievement test, the average total grade for the innovative entrepreneurship course of students in the intervention group was about 4.68-8.78 points higher than that of students in the control group. The achievement prediction model developed in this paper, along with the proposed optimization path for building innovation and entrepreneurship teaching capacity, offers significant guidance for the teaching research department in implementing effective teaching interventions and in the development of innovation and entrepreneurship education.
Emotion Algorithm Analysis and Expression Optimization of Film and Television Drama Lines
Authors: Jiang Yuanfang
Published: July 2024

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

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

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

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

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

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

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

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

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

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

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

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

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

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.