bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on multimedia intelligent algorithm based on recognition and detection of table tennis ball striking action
Authors: Dong Xinjing
Published: September 2023

There are many different types of batting motions in table tennis, and the accurate identification of these motion patterns is of great importance for the analysis of batting motions. In this paper, firstly, we explore the efficient representation of the batting motion in the time domain by reasonably placing the sensors and processing the collected data with respect to the characteristics of the batting motion. Secondly, based on the SVM algorithm, in real-world applications, the issue of creating complicated hypersurfaces is resolved using the kernel function technique., so that the simple hypersurfaces in the original space can achieve satisfactory classification results. Finally, a table tennis batting action recognition algorithm based on the SVM algorithm is calculated. The algorithm can efficiently extract the features of batting actions in temporal order and finally accomplishes an average recognition correctness of 93.58%, which is 4.155% more accurate than decision trees, 5.255% more accurate than random forests, and 3.305% more accurate than integrated classifiers. The best performance among the four classifiers indicates that the model has the best performance. This study demonstrates that the SVM algorithm model can quickly and effectively classify and identify action signals for the batting action during table tennis training.
Analysis of the influence path of Marx’s thought in contemporary college students’ Civic Education based on regression analysis
Authors: Liu Bin
Published: September 2023

This paper aims to investigate the influence path of Marx’s thought on contemporary college students’ thinking education, establishes a regression analysis model, determines the direction of the regression curve, uses the general analysis model to calculate the data of Marx’s thought as well as college students’ thinking education, and explores the influence of Marx’s thought on college students’ attitude towards Marx’s thought by analyzing the data of the influence situation of Marx’s thought on educated people and the data of college students’ attitude towards Marx’s thought. The data showed that 30.59% of the students were educated. The data results show that 30.59% of college students think that they can better show the national culture, 8.59% of college students feel that their after-school life is enriched, and 17.39% of college students feel happy. Only 12.9% of the educators only use textbooks for teaching, 10.77% of the educators use images in the classroom of university Civic Education, and 9.74% of the educators use short videos in the classroom of university Civic Education as a supplement so as to achieve the state of “no sound is better than sound at this time “This paper is a study of the influence of Marx’s thought on university education. This paper provides effective reference data for studying the influence path of Marx’s thought on university Civic Education.
Reform and innovation of Civic Education combined with deep and intensive learning
Authors: Kou Yilei , Zhao Meng
Published: September 2023

In order to respond to the call for reform and innovation of Civic Education, this paper establishes a new teaching mode of Civic Education by combining a deep reinforcement learning model with a Civic Education platform. Firstly, the modules and functions of the platform are designed, in which the modules are divided into the pre-class module, in-class module, and after-class module, and the functions are divided into front and back office management system functions. Then the deep learning based on value function and strategy gradient combines the Civic Education platform with deep reinforcement learning and designs a deep reinforcement learning model for Civic Education, which meets the requirements of Civic Education reform and innovation. Finally, the teaching practice of Civic Education reform and innovation was carried out, and the average attendance rate of students was obtained, which was 92.7% in the first round and 95.3% in the second round. 79 students (72.5%) had an excellent attendance rate in the first round and 85.4% in the second round. At the beginning of the semester, 67.64% of the students’ thinking structure belonged to low-order thinking, only 7.65% of the students’ thinking reached the structure of the association and abstract expansion, at the end of the semester, 60.59% of the students’ thinking reached the structure of the association and abstract expansion. It is concluded that the reform and innovation of Civic Education can improve students’ attendance and improve their thinking ability.
Research on Tourism Environment Carrying Capacity Evaluation of Tourism Demonstration Area Based on Objective Optimization Method in the Perspective of Territorial Tourism
Authors: Lu Xueying , Wang Na , Wang Juan
Published: September 2023

Based on the analysis of the influence of core subjects on the carrying capacity of the tourism environment, this paper constructs the “PSR” mechanism and builds the urban tourism environmental carrying capacity index system from three perspectives of natural, economic and social components of the tourism environmental system. The article researches the tourism environmental carrying capacity from three perspectives: economic benefit, social benefit, and environmental benefit, and constructs the objective function from three perspectives: maximizing the average tourism economic income, minimizing the emission of pollutants, and maximizing the number of accommodated subjects. Taking the state of the tourism environmental carrying capacity index as the constraint, the multi-objective optimization model of tourism environmental carrying capacity is constructed, and the optimization model is simulated and solved with the help of NSGA-II to provide a reference for the choice of decision-makers scheme. According to the evaluation of the tourism environment carrying capacity by the formula, the tourism environment carrying capacity coefficient increased from 0.1118 in 2012 to 0.8434 in 2021. The natural tourism environment carrying capacity coefficient increased from 0.2686 to 0.7893, the economic tourism environment carrying capacity coefficient increased from 0.064 to 0.8183, and the social tourism environment carrying capacity coefficient increased from 0.0925 to 0.9248. The evaluation and optimization of tourism environment carrying capacity conducted in this paper are of practical research value for guiding the sustainable development of tourism destinations.
Design of WeChat Public Service System for Toilets in Tourist Attractions Based on Adaptive Recommendation Algorithm
Authors: Yao Qifang , Zhang Li
Published: September 2023

This paper aims to design a microsoft public service system for toilets in tourist attractions. Through the research and analysis of the adaptive recommendation algorithm, an adaptive recommendation algorithm model based on deep reinforcement is constructed. Using the algorithm model to analyze tourists’ demand data for the scenic toilet service system and tourists’ expectations of the system functions, a WeChat public service system with finding toilets as the core was established. The results show that the most important channel for tourists aged 13-17 to obtain toilet information is through the scenic spot staff and the information column, accounting for 40% and 42%, respectively, while tourists aged 66 and above mainly obtain toilet information through the scenic spot toilet slogan, accounting for 52%, and the older stage considers more the distance of the toilet from the departure place the number of visits in 200, and the middle-aged and young tourists consider more the function of toilet finding. The number of visits is 200, 180 times. This paper provides an effective reference for the design of the public service system of Wechat for toilets in tourist attractions, which is conducive to promoting the update and improvement of the system.
Effect of low-intensity exercise therapy combined with health education on quality of life and blood pressure in hypertensive patients
Authors: Qin Liu , Safwan Bin Samsir Md.
Published: September 2023

In this paper, starting from exercise prescription and health promotion of hypertension, the hyperparameters of the XGBoost model are optimized using the Bayesian optimization algorithm, and then the BO-XGBoost blood pressure detection model is constructed. The model can estimate blood pressure from the ECG pulse wave signal of hypertensive patients and understand the patient’s blood pressure by PPG signal and ECG signal. For the effect of low-intensity exercise therapy combined with health education on the quality of life and blood pressure of hypertensive patients, experiments of the model and comparative test analysis of quality of life scores were conducted in this paper. From the model detection, the systolic and diastolic blood pressure detected by the BO-XGBoost blood pressure detection model was 118.6 mmHg and 65.2 mmHg, respectively, with an error of 3.03% and 3.83%, respectively, compared with the standard value of blood pressure. In terms of quality of life, the quality of life scores of the control and experimental groups improved by about 14% to 20% after the intervention compared with those before the intervention. This indicates that low-intensity exercise therapy combined with health education can help hypertensive patients improve their blood pressure control and quality of life.
Research on the construction of enterprise financial management information based on feature set
Authors: Jin Yingying
Published: September 2023

This study suggests a PSO-SVM financial crisis early warning model aid organizations in developing an efficient financial crisis early warning model for early financial crisis avoidance. For feature set selection, a wrapper method is utilized, in which the classifier’s learning algorithm and feature set selection are combined. The SVM is utilized as the classifier, and its feature set and kernel function parameters (C and δ
2) are employed as the placements of the particles in the PSO, with the SVM’s classification results being used as the adaption values. By achieving the near-optimal feature subset and kernel function parameters, the results are close to the model’s ideal predictions. The PSO technique is used to concurrently optimize the feature set and the kernel function parameters to remove unnecessary or redundant features. According to the findings of the model comparison, the SVM’s accuracy is 80.31%, which is less than the accuracy of the PSO-SVM model, which is 94.55%. The accuracy and recall of the PSO-SVM training set are 71.39% and 81.87%, respectively, while the accuracy and recall of the test set are both 70.53% and 72.29%, respectively. In comparison, the SVM model’s test set accuracy rate is just 34.57%, while its training set accuracy rate is only 44.01%. This suggests that the PSO-SVM model put forward in this research has seen significant improvements in both the accuracy of indicator selection and indicator interpretability.
Exploring the Construction and Practice of College English Blended Teaching Model Based on Fuzzy Comprehensive Teaching Evaluation Model
Authors: Lan Lan
Published: September 2023

In order to explore a new English teaching mode, this paper constructs a hybrid teaching model of English in colleges and universities combined with multimedia to respond to the call for reform and innovation of teaching mode. Firstly, through analyzing three hybrid modes of teaching: complementary mode, flipped mode and cooperative mode, a multimedia-based hybrid English teaching model is constructed in combination with current multimedia technology. Secondly, the fuzzy comprehensive teaching evaluation model based on EWM-AHP-DEMATEL and the teaching quality and learning quality evaluation index system of the hybrid English teaching mode in the multimedia context were constructed. Then in the teaching evaluation system, it was found that the satisfaction of teaching materials construction after the improvement was only 85%. There is still a lot of room for improvement, but overall, all have more than 5% satisfaction improvement. In the learning evaluation system, the number of outstanding students in English class participation, English accompanying test, innovation challenge, and English practice all increased by more than 5, and the number of those needing efforts decreased by more than 3. The overall grade improved by about 12% compared to the previous semester. Finally, the conclusion found that this new teaching model can improve teaching ability and students’ English learning ability and is worth implementing in colleges and universities.
Correlation analysis between the quality of physical activity and public health based on artificial intelligence technology
Authors: Wang Yong
Published: September 2023

In the context of artificial intelligence technology, the declining physical fitness of Chinese college students is still a serious social problem, and it is urgent to improve the physical health of college students. In this paper, the K-menns algorithm and decision tree CART algorithm are selected to be applied to the analysis and evaluation of college students’ physical health data based on the actual range of attributes of college students’ physical health data, the specific ideas of big data mining algorithm, and the characteristics and application fields of the algorithm are fully considered. Then, in the analysis of the physical health test data of class students, the percentage of the specific index amount to the total index amount is calculated, and the superior and inferior indexes are derived so as to realize the diagnosis of physical health posture. In order to investigate the correlation between physical exercise behavior and the health level of college teachers, a correlation analysis was conducted between the scores of 5 dimensions of physical exercise quality of college teachers and the scores of 8 dimensions of health level. The results showed that among the 5 dimensions, except for the behavioral intention and behavioral control dimensions, which did not have a statistically significant correlation with the physiological function dimension of health level, each of the remaining dimensions had a highly significant positive correlation with each dimension of health level P<0.01. This study promotes the modernization of physical fitness assessment of college students, which is important for maintaining health.
A deep learning model-based approach to financial risk assessment and prediction
Authors: Li Xin , Li Lin
Published: September 2023

This paper proposes a split-lending network model for bank credit risk, calculates whether a bank fails by simulating the changes in bank assets and liabilities over time, and adds the default rate calculation considering the characteristics of the default rate when a bank borrows. Meanwhile, the XGBoost-based classifier is used instead of random forest to improve the accuracy of classification, and the grcForest_XGB model is established. The activation function Sigmoid, the error function mean square error function, and the adam optimization function with the best effect at present are used to predict the accuracy of the grcForest_XGB model, and the different models are compared with the grcForest model for comparison experiments. The experiments show that the grcForest model has higher AUC and KS metrics of 0.8224 and 0.6368, respectively. The recall value is 0.8319, which ranks first among the six models. The Acc value is 0.9732, which is only 0.05 lower than LSTM, and is at a higher level. This study shows that the model is more accurate for risk assessment, can predict financial risks in advance, and make an effective assessment of financial risks.
Analysis of improved particle swarm algorithm in wireless sensor network localization
Authors: Yuan Daming
Published: September 2023

Among the various WSN technologies, node localization technology is one of the core parts of WSN applications and an important component and key technology, which is also a hot spot and focus of research at this stage. In this paper, firstly, we propose a classical ion swarm localization algorithm for wireless sensor network localization, randomly assigning appropriate velocity and position to each particle in the population in order to find the global optimum in the iterative process. Based on this, a network node localization model is established to convert the functional optimization problem with constraints into an unconstrained optimization problem to solve. At the same time, the space is searched using a chaotic search strategy, which greatly improves the search efficiency. Next, the particle swarm algorithm is further optimized, and simulation experiments are set up using MATLAB software to do comparison experiments on the PSOAPF algorithm and other algorithms. The experimental results show that when the density of beacon nodes is 40%, the average localization error of the PSOAPF algorithm is 14.26%, with the smoothest decreasing trend. When the percentage of anchor nodes is 10%, the localization error is reduced by 6.89%, and the localization accuracy of the PSOAPF algorithm is also higher than other models. This study shows that the improved particle swarm algorithm can effectively improve the localization accuracy, reduce error and accelerate the convergence speed in wireless sensing network localization.
Analysis of using big data to achieve precise employment of college students
Authors: Su Peng
Published: September 2023

In order to solve the social phenomenon of difficult employment of college students, this paper constructs a college employment recommendation platform based on an improved collaborative filtering algorithm. Firstly, the framework of the employment recommendation system is designed for the user use case, system architecture, system function module, database and user portrait of the platform, respectively. The functional modules are divided into six module parts: campus recruitment management, internship management, employment information management, employment affairs management, employment analysis management, and employment guidance management. Next, the platform is analyzed to combine the recommendation algorithm of collaborative filtering algorithm and clustering technology based on users and items to realize the recommendation of employment information for college students. Then the employment platform is used to get the high stickiness of users in the employment of college students, which can retain about 62% of the number of people, and even 5% of the number of people are particularly fond of the platform. With the increase in recommendation times, the recommendation accuracy increased from 22% to 83%, and the accuracy increased by about 61%, and the comparison with the traditional employment form is much higher than the traditional method in both accuracy and recall rate by about 30%. It is concluded that using the college employment recommendation platform can realize the precise employment of college students.
The Origin and Significance of Research on Music Education Reform and Talent Cultivation Based on Evaluation Index
Authors: Zhou Yumei , Huang Yingjie
Published: September 2023

In order to explore the origin and significance of music education reform and talent cultivation in the new era, this paper constructs a new music curriculum evaluation model based on SVM. Firstly, we explore the path of music education reform and the goal of music talent cultivation by taking the trend of Internet of everything as the origin of the proposed “high-quality courses” for music in universities. Then, we analyzed that the recognition accuracy of SVM is significantly better than most machine learning methods in solving high-dimensional small sample data, so we established a new music curriculum teaching evaluation model on this basis. The average score of each index of the new course teaching effect is 74, and the evaluation grade is better, obtained by establishing the evaluation system of the new music course of SVM. In the evaluation index, the CVI indexes were all kept in the range of 0.82 to 0.98, which was higher than the standard 0.78 of the CVI index, and the Kappa value of each evaluation index was higher than 0.86. The attendance rate in college teaching rose from 78% to 100%, the ability to master music knowledge rose from 67% to 93%, the ability to apply knowledge rose from 76% to 92%, and the average score on weekly tests rose from 86 to 96. Finally, it is concluded that the Internet-based music education reform approach can promote the development of music education careers and cultivate the important means of all-around talents.
Research on the method of ideological and political education in college physical education based on knowledge mapping
Authors: Yan Wen , Cao Xiaojing , Ye Peng
Published: September 2023

The development and use of Internet technology have led to a reform of college physical education, which presents new difficulties for the study of the strategies for ideological and political education in this setting. This study examines the descriptive perspective encoder, structural perspective encoder, and knowledge graph comparison learning algorithm of the KGCL model, as well as the relevance analysis of correlation coefficients based on the Bayesian algorithm and KGCL model. Second, it concentrates on classifying the teaching methods for college physical education in the context of the Internet and on the online practical teaching interaction approach for this discipline. It is investigated how ideological and political education might be included in the online instruction of college athletics. Lastly, students’ cognitive analysis and students’ evaluative analysis of the application of ideological and political knowledge in college physical education are undertaken using Internet technology to integrate ideological and political education in college physical education. According to the study, 24.9% of respondents believe that the ideological and political information given in physical education fully satisfies student needs, 30.9% believe that it can only partially satisfy student requirements, and 8.8% believe that it cannot fully satisfies student needs. Internet technology can therefore further the study of political and ideological education strategies in college physical education.
Research on the construction and reform path of online and offline hybrid English teaching model based on time series
Authors: Fu Yuemei , Ying Shichao
Published: September 2023

With the widespread use of blended English teaching, the teaching model has become increasingly rigid and needs to be reformed. This paper proposes an analytical model of student learning behavior under blended English teaching based on big spatiotemporal data and constructs a structure of offline and online student learning behavior. The DWT-FCM clustering method for learning behaviors is constructed by using a similar distance based on time series instead of Euclidean distance in the traditional fuzzy C-mean algorithm. The maximum information coefficient was used to analyze the correlation between learning behaviors and grades based on MI. the DWT-FCM algorithm divided learning behaviors into five clusters, where the discussion number of cluster 0 reached an average of 45.2, which was 3.2 times higher than that of cluster 1. Cluster 4 has an average number of task completions of only 1.88, which will skip almost the entire course taken. The correlations of the number of task completion, course video progress, and assignment evaluation scores are all highly correlated, with correlation coefficients reaching 0.884 and 0.825, respectively. This study suggests the influence of learning characteristics on English performance in a blended teaching model, which can effectively guide the reform of the blended English teaching model.
Application of traditional symbols in interior decoration based on VR technology
Authors: Hong Ying , Hu Xiaoqiang , Peng Maolong
Published: September 2023

Traditional symbols, as visual symbols, are not only extremely widely used in traditional fields but are also constantly used in interior design. This paper first investigates the use of traditional symbols in interior decoration and the trend of integration of traditional symbols with modern design. Then, an index system is constructed to evaluate the level of development of interior design incorporating traditional symbols by establishing the original data matrix and determining the index weights. Finally, a fusion coordination model was established, and the data were analyzed for reliability, validity, and consistency tests to analyze the richness, taste, and emotional expression of interior design incorporating traditional symbols. The overall integration of traditional symbols with interior design increased from 0.4621 to 0.7346. The effect of traditional symbols in interior design based on VR technology on emotional performance in office scenes increased by 20% on average. The average of those who rated very conforming in different scenes was 20%, those who rated more conforming was 30%, and those who rated average performance was 10-20%. The research in this paper has important references and reference values for the use of traditional symbols in interior design.
Research on the structure of corporate financial management objective system based on BRP method
Authors: Han Baozhen
Published: September 2023

Exploring the architecture of corporate financial management objectives of the BRP method is to help companies achieve revenue growth. In this paper, we analyze the motivation for implementing business process reengineering and constructing an intelligent financial management system based on the BRP method and intelligent technology. The DSBPR data analysis and processing model is constructed by using Bayesian ranking model combined with similarity in heterogeneous information networks in the intelligent financial management system. The intelligent financial management system constructed in this paper is analyzed in terms of the operating capacity and profitability of the enterprise. From the viewpoint of operating capability, the turnover rate of receivables, total assets, and current assets decreased by 87.17%, 91.85% and 49.68%, respectively in ten years, and the change rate of inventory turnover was 7.91%. In terms of profitability, there is a difference of 166.12% between the maximum and minimum values of return on net assets. This shows that the use of an intelligent financial management system can provide intuitive data analysis for enterprise development, which helps enterprises to target the coordinated development of enterprise strategies and thus promote the improvement of economic returns.
Innovative Research on Deep Learning Algorithm in Intelligent Attractions Recommendation Technology
Authors: Wang Yu
Published: September 2023

In order to discover users’ interest preferences from the massive travel information and meet users’ needs for personalized tourist attraction recommendations. In this paper, we construct correspondingly according to the domain knowledge and complete the design and implementation of the mapping according to the corresponding process. The item representation enhancement module is designed to obtain a more comprehensive user preference by extracting information from the user’s historical preferences and then using graph convolution to learn the correlation between the user’s historical behavioral preferences and entities to enhance the KG semantic information of items. An item representation enhancement model based on RippleNet is proposed, from the item representation enhancement module to the interest module, to establish a connection between the user and the implicit information of the item so as to consider their mutual influence and represent the missing information more comprehensively, and finally, a personalized travel recommendation model based on knowledge graph and deep learning is constructed. From the results of the study, it is obtained that the model in this paper is 4.14% and 4.6% better than the best model SASRec in the comparison method in NDCG@10, Recall@10, MRR@10 indicators on both 1.93% higher. At the recommended list length K=20, the Recall rate Recall@20 has reached 80.78%. The superiority of the performance of the model constructed in this paper is demonstrated in the experiments, which brings technical innovation to the personalized attraction recommendation system.
An empirical analysis of the impact of Cross-border E-commerce on the competitiveness of SMEs based on the context of big data
Authors: Xie Tian
Published: September 2023

Cross-border E-commerce has advanced greatly with the help of big data technology, cross-border payment and logistics maturity and improvement, and backing from the national “One Belt, One Road” policy. Firstly, based on the study of enterprise core competitiveness evaluation index system, one is proposed for the core competitiveness of Cross-border E-commerce enterprises, and an evaluation model based on SA-LSTM for the core competitiveness of Cross-border E-commerce enterprises is constructed. Then, with the research objective of refining the core competitiveness of Cross-border E-commerce enterprises, the model was applied to empirically analyze the core attractiveness of major domestically listed Cross-border E-commerce enterprises. The results show that laws and regulations have no significant influence on enterprise competitiveness, the regression coefficient is not significant, and the t-value = 1.793 < 2. Hypothesis A is not verified. And the p-values of the technical environment, development potential, market demand, capital management, process cost, information sharing and service level are all less than 0.05, and the regression coefficients are all significant with t-values greater than 2, indicating that indicators B to H has a significant positive influence on enterprise competitiveness. This study reduces the barriers for SMEs to apply Cross-border E-commerce to participate in foreign trade, reduces the cost of enterprises, and improves their own competitiveness.
Construction of preschool education resource sharing platform based on matrix model
Authors: Wu Xunhua
Published: September 2023

This paper achieves high-quality sharing of preschool educational resources among learners based on a matrix model. Through the shared resource matrix analysis method, the symmetry of the matrix about this educational resource is judged so that the resource can transmit information implicitly among all subjects. The difference between noise and preschool education resource data points is enhanced using the K-nearest neighbor search algorithm. Combined with the ant colony particle swarm optimization algorithm, the sharing sequence and time of the optimal preschool education resources are calculated, and a preschool education resource-sharing platform is constructed. To verify the applicability of the constructed platform, the simulation analysis results show that the resource search accuracy of the platform constructed in this paper reaches 94.51% on average, and the compatibility performance index is as high as 7.287vw, which is 3.25vw and 3.421vw higher compared to other platforms, respectively. The results show that the matrix model can eliminate resource heterogeneity and provide convenient and efficient interactive technical support for constructing a preschool education resource-sharing platform.
Research on the prediction method of string-supported dome cable force based on digital twin technology
Authors: Meng Fanmin , Yu Shaozhi , Xue Jianying
Published: September 2023

To improve the accuracy of rope force prediction and the safety of the construction process. In this paper, based on digital twin technology in the design process, digital twins of physical entities in virtual space are constructed using digital to achieve digital control and optimization of physical entities. The structural response information collected by sensors is brought into the dynamic load identification method by calculating the solution method of the dynamic load of the digital twin technology. The damping effect is considered in the load vector. The displacement is eliminated by constructing an average loss function to disperse the motion time to solve for the dynamic load imposed on the structure and obtain the load-bearing state of the structure for dome cable force prediction. To verify the feasibility of the model, the results of the cable force prediction analysis show that the overall displacement of the mesh shell displacement nodes at the bishop number 200-400 has a more uniform step distribution, and the cable force of the internal and external radial cables has a small change in the predicted structural cable force at the position of 40° angle with the long axis. Thus, it can be seen that the cable force prediction of a circular chord-supported dome with digital twin technology can break the tradition and further improve structural safety and implementability.
Exploring the innovation of visual communication design style based on artificial intelligence technology
Authors: Yan Haian , Wen Weimin , Wang Long
Published: September 2023

By exploring the application of artificial intelligence technology in visual communication design, the design efficiency and innovation of visual communication can be effectively improved. In order to automatically arrange graphic language in visual communication design, a novel algorithm is proposed in this research, together with a functional model of artificial intelligence technology design. The minimum and maximum values of the number of orchestrated pages are used as the objective orchestration function for calculating the display size of buffer images in visual communication design. In visual communication design, an ant colony method is used to determine where graphics should be displayed best, and ASM semantics is used to describe the graphics language. The proposed algorithm is programmed and runs to achieve the innovation and development of visual communication design style by using the parallel selection mark to describe the graphic language and realize the automatic arrangement. The experimental results show that the visual saturation obtained based on artificial intelligence technology can reach up to 97%, the mean value of user satisfaction is 7.789, and the TGB consideration characteristics are evenly distributed. It can be seen that an innovative visual thinking mode can convey novel design concepts in visual communication design and optimize the visual communication design effect.
Research on the evaluation system and teaching optimization effect of animation aesthetics education based on principal component analysis method
Authors: Liu Zhiqiang
Published: September 2023

To improve the animation design ability of animation aesthetics students and the teaching ability of teachers, this paper constructs an evaluation system of animation aesthetics education based on Internet+. Firstly, the feasibility of Internet+ education is analyzed, and the Kohonen grid is introduced to fuzzy classify the images and get the corresponding affiliation vector. Then the mean value method is used to fuse the two-dimensional images, and the evaluation index of animation aesthetics education is derived according to the gray value. Secondly, considering the limited capacity of the animation aesthetics education evaluation system, the principal component analysis method is used to calculate the feature values, weight percentages, etc., to filter out the range of index values and construct the evaluation system according to the main indexes. Finally, according to the scores of students’ animation works and teachers’ satisfaction before and after the platform was implemented, it was confirmed that the built platform could optimize the teaching effect. The results showed that after the teachers adjusted their teaching according to the evaluation system, the students’ work scored 90 and above, and the student’s satisfaction with the teachers increased from the highest 6.5 to 9.8, which optimized the teaching effect.
Improving internal control of costs for land reclamation works
Authors: ULLAH Raheem
Published: September 2023

Subject. This article considers the control of the costs of land reclamation work as a complex process that requires careful planning and monitoring of each stage of work.
Objectives. The article aims to develop recommendations for improving the methodology of internal control of the costs of land reclamation.
Methods. For the study, I used a systems approach, comparison, systematization, and generalization.
Results. The article presents the author-developed working documents of internal control of the costs of land reclamation, which will help optimize the implementation of control measures.
Conclusions and Relevance. Based on the analysis of existing methods of internal cost control, the article finds that they do not pay enough attention to the systematization of the results of control procedures. The practical significance of the study lies in the possibility of applying the developed recommendations in the internal control of the costs of land reclamation in order to improve the effectiveness of control measures. The implementation of the proposed recommendations for improving the methodological support of internal control of the costs of land reclamation work will make it possible to form an objective conclusion on the results of the audit and provide the management of the agricultural organization with information for making management decisions.
Antioxidant and acetylcholine esterase inhibition activity of the extract from Centella asiatica obtained by Ultrasound pre-treatment followed by Microwave-assisted extraction method
Authors: Sivaneshwaran G. , Mariappan Valarpriya , Subban Ravi
Published: September 2023

The extraction of compounds from Centella asiatica a member of the family Apiaceae by adopting Ultrasound assisted Extraction (UAE), Microwave assisted extraction (MAE) and Ultrasound pre-treatment followed by Microwave-assisted extraction were reported. The yield of the extract, phenol content, antioxidant activity and Acetylcholine esterase activity were found to be more in the extract obtained by Ultrasound pre-treatment followed by Microwave-assisted extraction method. The yield of the extract is more by 30.8% to the UAE and MAE methods. The phenol content is 1289 ± 0.57 μg GAE/mL which is 27% higher than the MAE method and 46% higher than the UAE method. HPLC analysis showed that the C. asiatica extract comprised of Madecassoside in major quantity followed by madecassic acid, asiatic acid and asiaticoside. In the antioxidant activity by DPPH assay and AChE inhibitory effect the IC50, value for C. asiatica extract obtained by UAE pre-treated and followed by MAE method is 38.24 μg mL−1 and 26.7±0.49 mg/mL respectively which are substantially higher than the other two methods. So, Ultrasound pre-treatment followed by Microwave-assisted extraction method is found to be a preferable method to get the desired compounds from C. asiatica.
FORMAÇÃO ACADÊMICA DE PROFESSORES PARA O SUPORTE BÁSICO DE VIDA: REVISÃO DE ESCOPO
Authors: Ribeiro João Vitor Rosa , Piana Andreia Regina , Esteves Roberto Zonato
Published: September 2023

O objetivo desse estudo é revisão de escopo nas bases de dados PubMed, Lilacs e Scielo, evidências científicas voltadas a formação acadêmica de professores e educadores, em relação a primeiros socorros em escolas, visando atendimento pré-hospitalar. Estudos com enfoque na formação de professores e educadores quanto a atuação em atendimento básico de vida, no ambiente extra-hospitalar em primeiros socorros, em escolas ou centro educacionais públicos ou privados. Artigos científicos disponibilizados em plataformas digitais. Trata-se de uma revisão de escopo, entre os anos de 2013 e 2023, com palavras chaves, “health education”, “first aid”, “school teachers”, nos idiomas, inglês, português e espanhol, elencados em julho de 2023, sendo analisados no Rayyan, com análise duplo-cego para efetivação de artigos viáveis e não viáveis para essa revisão. Como resultado foram encontrados 72 artigos relacionados com as palavras chaves, na qual foram identificados 33 artigos duplicados, sendo esses excluídos da revisão, restando um total de 39 artigos para a análise, de aceite ou recuso para a revisão de escopo, finalizando com 25 artigos incluídos nessa revisão, atendendo os critérios de inclusão e exclusão. Conclui-se que há um déficit na formação acadêmica de educadores e professores durante a sua graduação na atuação de primeiros socorros em ambiente extra-hospitalar, não somente no Brasil, mas também em outros do mundo, evidenciando assim a necessidade da reformulação de bases curriculares, com o auxílio de profissionais da saúde para que haja uma formação adequada para atuarem com segurança em situações de urgência e emergência, diminuindo a taxa de morbimortalidade e custos evitáveis quanto a serviços de urgência e emergência.
Impact of combining photodynamic diagnosis with reflectance confocal microscopy, on tumor margin detection and surgical outcomes in patients with extramammary Paget disease
Authors: Cheng Xiaolei , Zhang Qian , Zhang Wei , Huang Liming , Sun Jia , Zhao Liang , Zhao Yan , Tian Cuicui , Cheng Wei , Shao Xuebao , Wang Yan , Gong Xiangdong
Published: September 2023

Background

The recurrence rate of extramammary Paget disease after surgical resection is high due to the lesions' poorly delineated and unclear margins.

Aim

To evaluate the impact of non-invasive tumour margin detection via photodynamic diagnosis plus reflectance confocal microscopy on the surgical outcomes of patients with extramammary Paget disease.

Methods

Thirty-six patients with histopathologically confirmed primary extramammary Paget disease between January 2017 and June 2018 were included in this study. The skin lesion margins were preoperatively observed using the naked eye, photodynamic diagnosis, and reflectance confocal microscopy. An incision was made 0.5–2 cm from the outermost non-invasive detection marker line. The incision depth was more significant than the follicle level or the deepest level affected by the tumour in the biopsy specimens. After the skin lesions were removed, a pathological examination of the specimens was conducted to ensure clear margins to prevent tumour recurrence and metastases.

Results

A total of 166 good-quality tissue sections were selected from 36 patients. The tumour surfaces and deep margins were within the scope of resection. Six patients (6/36, 15.4%) experienced local recurrence 2–12 months postoperatively. One patient (1/36, 2.8%) had lymph node metastasis without local recurrence 36 months postoperatively and died 50 months postoperatively (1/36, 2.8%).

Limitations

This study is limited by the small patient population, especially the number of patients with mucous membrane involvement.

Conclusion

Using photodynamic diagnosis plus reflectance confocal microscopy to detect the margins of extramammary Paget disease lesions non-invasively reduces the postoperative tumour recurrence rate and is a valuable guide for tumour treatment.
Quality assurance for magnetic resonance angiography of the chest in patients suspected of pulmonary embolism during iodinated contrast shortage in the emergency department setting
Authors: Singh Anmol , Hernandez Mauricio , Calimano-Ramirez Luis Fernando , Gumus Kazim Z. , Marfori Wanda , Kee-Sampson Joanna W. , Lall Chandana , Gopireddy Dheeraj R.
Published: September 2023

Objectives:

COVID-19 lockdowns resulted in a global shortage of iodinated contrast media. Therefore, alternative imaging protocols were devised to evaluate patients arriving to the emergency department (ED) with suspicion of pulmonary embolism (PE). This quality assurance (QA) aims to compare diagnostic potential between alternative magnetic resonance angiography (MRA) protocol over the gold standard computed tomography angiography (CTA) by evaluating MRA imaging quality, scanner type/imaging sequence, and any risk of misdiagnosis in patients with symptoms of PE.

Material and Methods:

This retrospective study compromised of 55 patients who arrived to ED and underwent MRA of the chest for suspicion of PE during the months of May to June 2022. Data regarding their chief complaints, imaging sequence, and MRA results were collected. Two fellowship-trained faculty radiologists reviewed the MRA scans of the patients and scored the quality using a Likert scale.

Results:

Two patients were positive for PE and 53 patients showed negative results. Regarding the scan quality issues, motion was noted in 80% of the 55 studies that we reviewed. Significant associations (P < 0.009) between Likert scale scores and initial complaint category were found. The characteristic symptoms associated with suspicion of PE, namely, shortness of breath, chest pain, and cough were distributed among the 1 and 2 categories, reflecting the most optimal vessel opacification scores. We found no risk of misdiagnosis after reviewing the electronic medical record for follow-up appointments within 6 months of ED visit.

Conclusion:

Patients were screened for PE with MRA as an alternative imaging tool during times of contrast shortage. Further, evaluation of MRA with CTA, side by side, in a larger patient population is required to increase the validity of our QA study.
Did COVID-19 restrictions affect post-operative rehabilitation of patients who underwent arthroscopic management of femoroacetabular impingement?
Authors: Abdelsalam Mohamed A. , Abdelmowla Rasha A. A.
Published: September 2023

Objectives:

This study aimed to evaluate the impact of a home-based exercise rehabilitation protocol for post-arthroscopy femoroacetabular impingement (FAI) patients compared to the routine physiotherapy protocol and investigate the effect of COVID-19 restrictions on patient rehabilitation and clinical outcomes.

Methods:

The study used a prospective cohort with a matched-pair comparison research design. The study group included 26 patients who underwent arthroscopic management of FAI through osteochondroplasty and suture anchor repair from July 2020 to June 2022. Thirty patients from the existing database who underwent arthroscopic management of FAI from June 2018 to June 2020 were included as a control group. Patient demographic and baseline data, the modified Harris Hip Score and the international Hip Outcome Tool-12 (iHOT-12) Score, the surgical satisfaction questionnaire, and the COVID-19 rehabilitation questionnaire were investigated for both groups. Patients in the study group received home-based exercise booklets.

Results:

The iHOT-12 score was significantly improved in the study group compared to the control group at 6 and 12 months (72 ± 22.33, 80.85 ± 13.46 vs. 58.03 ± 23.89, 62.1 ± 19.52, P = 0.029, P < 0. 001, respectively).

Conclusion:

Home-based exercise protocols successfully managed to achieve better outcomes in the study group assessed through the iHOT-12 Score at 1 year postoperatively. However, patients’ satisfaction was lower in the study group than in the control group.