bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Attack Path Discovery of Power Information Network Based on Bayesian Inference
Authors: Li Yuan , Liu Haixia , Yao Fei , Liu Wei , Wang Zitong
Published: May 2024

This paper analyzes and researches the network attack in the electric power information environment. The intrusion attack steps are examined, and the Bayesian inference method is applied to investigate the attack source information network delivery. The success probability of the network attack is quantified by likelihood. Noisy Net, Dueling DQN, Soft Q-learning, Prioritized Experience Playback Mechanism, and ICM model are integrated to improve the DQN algorithm from different perspectives. A NDSPI-DQN algorithm is proposed based on Bayesian inference. The experimental results show that comparing the convergence performance of DQN, PPO, and this paper’s algorithm, both this paper’s algorithm and the PPO algorithm can converge to the maximum cumulative reward value within 1000 rounds, and this paper’s algorithm can converge to the optimal value within 350 rounds. In an environment with 120 hosts, the optimal path discovery success rate of this paper’s algorithm is 97.23%. The optimal number of iterations and average running time are 1.12 times and 3.81 seconds. The proposed method is suitable for large-scale power information networks with higher execution efficiency.
Effects of Swirl Distortion on Flow Field and Blade Load of a Centrifugal Compressor
Authors: Li Yanzhao , Hou Hongjuan , Wang Leilei
Published: May 2024

On the turbocharger, two forms of intake pipe, bending and torsion, are usually used, which leads to a vortex at the inlet of the blade. It has been found that double vortices and massive vortices play a significant role in the working characteristics of the compressor. This project intends to conduct a systematic theoretical and experimental study on the effects of vortex deformation under two different working conditions of bending and torsion on the internal flow field, tip leakage flow field, and impeller load of the impeller. It has been found that the presence of a vortex near the blade entrance changes the static pressure and inflow angle near the blade entrance. The reverse transfer of vortex flow and vortex flow caused by vortex has three critical effects on the working characteristics of the compressor: 1. The change of circumferential static pressure and the pressure gradient of the flow in the impeller. 2. The location and density of the leakage flow on the top surface are significantly changed. 3. Adjust the impeller load’s change and fluctuation when it rotates.
The Communion of Digital Media Art and the Aesthetics of Smart City Public Art in an Interdisciplinary Context
Authors: Luo Baoquan
Published: May 2024

The integration of digital media art into the public art design of the smart city can enhance people’s participation and sense of identity in the art design of public space and maximize the attractiveness and cultural connotation of the city itself. Based on this, this paper builds a fusion technology framework mainly based on digital projection technology and digital interaction technology, proposes an interactive projection technology integrating digital projection and Kinect, and combines the dynamic scene image splicing and alignment fusion technology to realize the interaction between the user and the digital scene. In the case analysis of Qianjiang New City, the number of visitors reached 31.55 million in 2022. The evaluation score of landscape facilities in the public evaluation of architectural landscape is under 3.5. The overall evaluation grade is only “general,” and the evaluation mean value of the degree of intelligence of landscape facilities is only 3.089. The comprehensive evaluation satisfaction of the digital landscape includes multimedia landscape, architectural landscape, and landscape facilities, and the average value of the evaluation of the degree of intelligence of the landscape facilities is only 3.089. The satisfaction value of the multimedia landscape, landscape of buildings and structures, and water landscape in the evaluation of satisfaction is 4.36, 4.159, and 4.027, respectively, which reaches the level of “good” satisfaction, while the satisfaction value of landscape facilities is 3.479, which is less than 3.5. The satisfaction level only reaches the level of “general.” The satisfaction value of landscape facilities is 3.479, which is less than 3.5, and the satisfaction level is only “fair.”
Study on the Employment Intention and Influencing Factors of College Graduates in Chengdu-Chongqing Region under the Background of “Talent Competition”
Authors: Zhu Fan
Published: May 2024

In recent years, China has set off a round of “war for talents” all over the world, and college graduates, as a high-quality group of people in the labor market, are the focus of the competition for talent across the globe. How to retain and attract college students is an essential issue in promoting the construction of the Chengdu-Chongqing Twin Cities Economic Circle. An employment prediction algorithm for graduates is proposed in this paper that employs the HMIGW algorithm for feature selection to obtain the optimal feature subset. Then, it uses the XGBoost algorithm to predict the employment situation. In the meantime, a method for selecting fractal dimension attributes based on the binary firefly algorithm is used, and an algorithm for extracting employment willingness influence factor is proposed. In the analysis of the employment intention of college graduates in the Chengdu-Chongqing region, the number of college graduates in 2023 is 366,000; the growth reaches 18.83%, but the number of college graduates who stay in local employment is only 112,000. The mean value of all indicators for college graduates in the Chengdu-Chongqing region is below 4, and their overall satisfaction is low. The group not willing to stay in the area for employment valued the soft environment of the unit (P=0.012) and the economic level of the region (P=0.024) more than the group willing to stay in the area for employment.
Development trend of the application of image recognition technology in the process of sports training
Authors: Wang Yongxing
Published: May 2024

In the realm of sports training, the role of accurate image recognition is increasingly crucial for the effective correction of athletic movements. This research paper delves into the application of image recognition technologies to analyze sports training actions. Initial steps include the enhancement of image quality by filtering and sharpening images captured at a sports academy. Advanced techniques such as target detection algorithms and critical frame extraction are then applied to these refined images. Evaluations conducted on the KTH and UCF Sports action datasets reveal an average recognition rate of 88%, with further breakdowns indicating lower performance in activities like walking, jogging, and fast running in the KTH dataset. In contrast, uniform recognition results are observed in the UCF dataset with an average rate of 89.2% across various actions. The findings underscore the effectiveness of image recognition in improving sports training methodologies.
A Study of Business English Translation Skills Based on Parallel Corpus
Authors: Mo Wanni , Gong Jufang
Published: May 2024

In this paper, the support vector machine is used as the overall classification of the paragraph alignment method. The paragraph length relationship is taken as an essential feature of the business English paragraph alignment model, the CRFs discriminative model is used as the word alignment task model, and the maximum likelihood estimation algorithm is used for model parameter training. Aiming at the real-time alignment needs at the sentence or paragraph level in Business English, the word alignment algorithm based on semantic similarity calculation is proposed, and the evaluation indexes of English-Chinese EC, Chinese-English CE unidirectional alignment and bi-directional fusion alignment, and semantic extension alignment are compared. Adding traditional business English translation techniques, comparing the effects of conventional translation techniques on business English sentence and paragraph translation versus parallel corpus-based translation techniques. The dynamic chunking accuracy of two-way fusion alignment and semantic expansion alignment is 94.57% and 94.32%, respectively, and the accuracy of semantic expansion alignment is 6.85% and 8.17% higher than that of EC one-way alignment. Meanwhile, the number of errors in business English translation works based on parallel corpora is reduced, which can help translators overcome the interference of Chinese chapter structures and improve the quality of their translation works.
Application of Virtual Reality-based Cloud Computing in Digital Creation of Dabie Mountain Culture
Authors: Rong Tao
Published: May 2024

This paper looks at 3D model retrieval techniques for digital virtual workshops in cloud computing. The global D2 shape distribution features are first used to sort the models for initial retrieval. Then the local curvature features are used to further optimize the sorted results to obtain the final retrieval results. Through the historical and cultural theme scene design, stage performance scene design, and interactive performance design to enhance the immersive experience of the corresponding cultural creations, the creative inheritance and dissemination mode of Dabie Mountain culture in the new period is created. The results show that the difference in the percentage of attention points in the landscape node area is significant, P=0.032, indicating that the virtual reality experience group is better able to meet the needs of the experience. The weights of the three evaluation dimensions of the virtual experience of Dabie Mountain folk song culture are, in order, mood design (0.4073) > scene design (0.3814) > context design (0.2113). Designing multi-sensory (visual, auditory, olfactory, tactile) is of the highest importance. In terms of interactive experience, more attention is paid to the timeliness and accuracy of feedback, as well as the guidance of operations. In terms of emotional experience, more attention is paid to the sense of pleasure, surprise, and satisfaction. In the cultural experience, more attention is paid to traditional folk songs and historical architectural displays.
Research on cross-border integration diversification of music industry under the background of “Internet+”
Authors: Wu Yuanhui , Kang Weijia
Published: May 2024

The rapid development of China’s Internet industry has created the possibility of cross-border integration of the music industry in terms of capital, talent, information and other aspects. This study focuses on the characteristics of the network music industry, constructs a network music industry chain in line with the background of “Internet+”, and analyzes in depth the interactions between the components of the network music industry chain. Based on the interrelationships, the study puts forward the basic assumptions, sets up the revenue matrices of the variables, establishes three game models for copyright holders, service providers and users, determines the replication dynamic equations of the model, the evolutionary stabilization strategy and the Nash equilibrium, probes the stability of the model’s evolution, and carries out the case study on the cross-border fusion of the music industry. The results show that with the increase of management and technology costs, the rate of service providers’ evolution towards self-regulation slows down, and when P
B
2 exceeds 8 the behavior of service providers changes, and the control of the cost of payment is particularly important. This study objectively presents the value of copyright cross-border operation in the music industry, reduces the basis of operating costs, ensures the smooth realization of the economic goals of the music industry, and promotes the music industry to embark on the road of healthy and stable development.
Research on the Path of English Translation Teaching and External Communication Based on the Multimodal Analysis Method
Authors: Zhang Cui
Published: May 2024

With the development of the times and the continuous innovation of modern education technology, the multimodal theory is developing deeply in the field of education. The first step in this study is to use the optimization principle to select modes that meet the needs of English translation teaching and then develop a multimodal analysis framework for external communication that incorporates multimedia communication methods. Then, we constructed an emotion recognition model for English translation teaching by using speech recognition and expression recognition combined with convolutional neural networks for the students’ classroom situation and attitude and carried out the empirical analysis. The recognition accuracy of the emotion recognition system constructed in this paper is 86.4%. In the multimodal analysis of English translation teaching, the teacher who uses the linguistic modality type for the most number of times 387 times, and the teacher who uses the mixed modality for the most number of times 271 times, the students have the best classroom status. It has been stable at about 5 points, which is a “more positive” state. The students in the class had the highest level of motivation. Through the analysis, it is found that multimodal teaching can effectively improve the students’ status in class and keep their attention, which verifies the appropriateness of the external communication path combined with multimedia communication in multimodal English translation teaching. It provides a practical path for the development of English translation teaching.
The Establishment and Quality Improvement Effect of Physical Education Teaching Evaluation System in higher education institution
Authors: Yu Zhihua , Xing Yu , Liu Haoyan
Published: May 2024

The assessment findings are given too much weight in the current system of evaluation for physical education instruction at higher education institutions. In contrast, the method of teaching and students’ basic health literacy are given insufficient weight. To address this phenomenon, this paper utilizes educational evaluation theory, fuzzy comprehensive evaluation theory, and multiple evaluation theory as the basis for setting up the higher education institution’s physical education teaching assessment system. Three first-level indexes comprise the entire index system, namely, “condition quality,” “process quality,” and “result quality.” Through fuzzy comprehensive evaluation, hierarchical analysis, and genetic algorithm, it is determined that the “process quality” is the most important factor. The “process quality” has the highest weight coefficient of 0.4419, which enhances the importance of the physical education teaching process in higher education institutions. After determining the evaluation index system, the average physical education scores of X physical education classes in University H were calculated by conventional teaching evaluation means and the evaluation means established in this paper, respectively, and compared and analyzed. The difference between the two final average scores was 2.9, which was attributed to the fact that the multivariate evaluation means paying more attention to the core literacy of students’ health. The standard deviation of the statistical results is 2.3, and the skewness, kurtosis, and S-W test values meet the statistical requirements and satisfy the normal distribution, which is thorough and scientific and can encourage academic institutions to pay more focus on how they teach and students’ fundamental physical literacy. These institutions can enhance their instruction by implementing the evaluation system established in this paper, which will improve the quality of instruction and learning in higher education sports.
Proposal and evaluation of a combined refrigeration system for engine waste heat recovery based on a supercritical CO2 Brayton cycle
Authors: Wu Zhendong , Chen Chunxiang
Published: May 2024

In recent years, engine waste heat utilization technology has become one of the essential directions for green energy-saving development. In this study, the design of a combined refrigeration system for engine waste heat recovery under a two-stage supercritical carbon dioxide Brayton cycle is carried out, and based on the engine top-cycle energy flow and reactive flow characteristics, combined with thermodynamic and economic analysis models, the thermal and reactive efficiencies of the S-CO_2 Brayton cycle system are investigated. The multi-objective optimization model for waste heat recovery was created with hydropower efficiency and investment return as its objectives. The results showed that the minimum values of annual operating cost and initial investment cost of the combined system under the optimized conditions were 104.8 and 505.2 thousand RMB, respectively, and the total system energy loss was 7.25%. By further analyzing the top cycle parameters of the combined system, it is concluded that the combined system has better thermo-economic performance, and the results can provide some references for the combined refrigeration with engine waste heat recovery.
The positive significance of ideological and political teaching in colleges and universities based on HOG feature extraction to college students’ innovation and entrepreneurship
Authors: Li Yangfan , Su Dongmin
Published: May 2024

This paper designs an intelligent ideological teaching model integrating innovation and entrepreneurship education under the guidance of the “6C+6E” theory. In this model, the features are first extracted by the convolution operation of the student face image through the Gabor algorithm. The features extracted by HOG algorithm based on integral graph are concatenated to get the fusion of student face features. Then SVM algorithm is used to classify and recognize the student’s facial features. In the classroom, applying this ideological and political teaching mode, the overall concentration situation of the class reached 0.9988 points at the best time. In contrast, the concentration of the traditional innovation and entrepreneurship teaching classroom were all lower than 0.4 points, and the highest rate of students’ heads up in the overall classroom reached 98.19%. After the implementation of the teaching, there is a significant change in the mean score of students’ awareness of entrepreneurial value (P=0.011<0.05) and understanding of entrepreneurial business opportunities (P=0.016<0.05), which has increased by 50.45% and 36.41% relative to the pre-implementation of the teaching. The Civics teaching model constructed in this paper lays the foundation for the effective development of innovation and entrepreneurship education in colleges and universities and provides a reference basis for the improvement of students’ innovation and entrepreneurship awareness.
Spatial layout and optimization of e-commerce logistics management based on combinatorial optimization algorithm
Authors: Ma Hao
Published: May 2024

Warehousing space layout is crucial for e-commerce logistics. A refined and scientific approach to warehouse design enhances space utilization and operational efficiency. This minimizes unused space and idle time, lowers inventory costs, and strengthens the competitive edge of e-commerce logistics. In this study, we conceptualize the logistics space layout issue as a crate problem, harnessing the rapid optimization capabilities of genetic algorithms (GA) and simulated annealing (SA). We propose a hybrid algorithm where SA forms the core, using GA to generate initial solutions and new iterations. Design parameters for the combined operation process are systematically developed. This algorithm is evaluated using both datasets and real arithmetic cases, demonstrating superior performance in large-scale combinatorial optimization problems. It achieves a search accuracy of 0.5% to 3% higher than GA alone, converging more reliably to the global optimum, thus reducing search time and operational scope. This research offers vital theoretical insights for optimizing space layouts in e-commerce logistics management.
A Study on the Influence of Higher Education Foreign Language Teachers’ Intercultural Communication Competence on the Dissemination of Chinese Excellent Culture
Authors: Wei Xinyu
Published: May 2024

This study employs gray system theory to refine the multiple linear regression model, resulting in the development of the gray multiple linear regression method. Utilizing School A as the primary subject, this approach involves gray scaling the intercultural communication skills of college instructors (independent variable) and the effectiveness of Chinese culture dissemination (dependent variable). This transformation aids in resolving the sequence of whitened background values for each variable. This transformation aids in sequencing the whitened background values for each variable. The regression coefficients are then calculated using the Cholesky method to determine the linear correlation between the variables and assess how intercultural communication skills influence cultural dissemination outcomes. The analysis of the influence of college teachers’ intercultural communicative competence on the effect of cultural transmission found that the language competence of college foreign language teachers is related to “attitude toward learning Chinese excellent culture” (0.432) and “whether it is necessary to teach the idea of Chinese excellent culture in the classroom” (0.503) both have significant correlations. The analytical results of this paper provide a reference basis for promoting the wide dissemination of Chinese excellent culture, as well as a direction for improving the cross-cultural communicative competence of foreign language teachers in colleges and universities.
Synergistic Development of Chinese Language Teaching to Foreigners and Traditional Culture in the Information Age
Authors: Zhang Juan , Zhong Fangfang
Published: May 2024

This paper collects data on teaching resources and traditional cultural elements for the Chinese language teaching abroad platform and mines and analyzes the behavior of teaching Chinese as a foreign language. The association rule method is employed to analyze the correlation between Chinese language teaching and traditional culture based on the teaching data. According to the data, New Year’s Snacks (87.83 million) is the most-watched teaching video on YouTube, followed by Lotus Leaf Glutinous Rice Pork Ribs (67.74 million). Chinese cultural symbols (a total of 100) and Chinese cultural and artistic symbols were used more frequently (a total of 54), and optimal teaching aids were selected for different categories of Chinese cultural symbols. This study successfully explored the association relationship between traditional culture and Chinese language teaching to foreigners, providing a basis for the synergistic development of the two.
Research on the Value and Path of Education in Civic and Political Education in Colleges and Universities
Authors: Zheng Binbin
Published: May 2024

All-embracing, all-round, all-encompassing parenting is an inevitable requirement for the implementation of the fundamental task of cultivating moral integrity and building a strong nation of talents. This paper constructs the “One, Two, Three, Four” Civic and Political Parenting Work Model based on the idea of three-pronged parenting. It establishes the evaluation index system based on its educational value. The weights of the evaluation indexes are solved by the structural entropy weighting method. Finally, a comprehensive evaluation of the effectiveness of the educational value of the university’s civic and political education work is carried out by combining with the TOPSIS method. In addition, this paper introduces the multiple linear regression model with great likelihood estimation to analyze the influencing factors of the educational value effectiveness of the work of ideological and political education in colleges and universities. It also takes ten colleges and universities in the university city of S province as research objects. It explores the educational value and effectiveness of their ideological and political education, as well as the influencing factors, respectively. The results of the study show that in the educational value effectiveness of the educating work, the difference in the weights of all-employee, all-round and all-directional educating is only 0.0061, and the relative proximity of the colleges and universities with the best performance of the educational value effectiveness is 0.654. For every 1 percentage point of enhancement to the construction of the faculty, the educational value effectiveness of ideological and political education work increases by 1.641 percentage points. Civic education needs to pay attention to the level of faculty construction to help teachers clarify the focus of civic education in order to promote the high-quality development of civic education.
Enterprise accounting services applying big data under the financial sharing model
Authors: Zhou Dianhong
Published: May 2024

This paper applies blockchain technology to design an enterprise accounting service system and designs an accounting framework containing four links: recognition, measurement, recording, and reporting. Focusing on the field of accounting measurement, it proposes a practical way to use blockchain technology in both monetary measurement and accounting measurement attributes. To confirm the impact of blockchain-based accounting, we developed a robustness testing approach. We analyzed data from publicly traded companies that implemented blockchain technology in their accounting systems from 2013 to 2023. Analyzing the effect of blockchain technology on the effectiveness of accounting service work finds that there is a significant correlation between the measure of Total Asset Turnover (TAT) and whether or not blockchain technology is applied (0.526). The regression result of the blockchain dummy variable as an explanatory variable is also very significant (0.004), and the robustness test after replacing the variables indicates that the conclusion remains unchanged. The empirical analysis shows that the ROE values of the corporate performance indicators of applying (16.52%) and not using (8.47%) the accounting service system show a highly significant difference (p=0.001), which indicates that the accounting service system is more effective. The accounting service designed in this paper provides a reference basis and data support for enterprise financial management. It lays the foundation for the application of blockchain technology in accounting services.
Exploration and efficiency assessment of the management model of higher vocational education with poa concepts
Authors: Gao Bo
Published: May 2024

Current vocational high school management practices suffer from low efficiency, mainly due to inadequate backing from pertinent educational theories. In this study, the POA concept is first used as a guideline for the innovation of the management mode of higher vocational education, and 30 provinces, cities, and autonomous regions in China are taken as the research objects. Then, based on the output and input indicators, we constructed the efficiency assessment system of education management, used the DEA model to make static measurements of education management efficiency in 2020-2022, and further analyzed the dynamic evolution trend of the efficiency of higher vocational education management by using the Malmquist index. According to the results, less than 50% of higher vocational colleges and universities are classified as non-DEA practical situations. For these higher vocational colleges and universities, their input redundancy and output insufficiency are analyzed, in which the two input indicators of total public expenditure and the number of administrative personnel of decision-making unit 1 are insufficient. The input insufficiency rate is 13.43% and 73.01%, respectively. According to the input and output of each higher vocational college or university, the corresponding solution measures are proposed to improve the efficiency of educational management of higher vocational.
Big data analysis and application of library information resources
Authors: Zhang Xiuwen , Zang Luyan , Bai Wan , Liu Hongxing
Published: May 2024

This study explores the application of extensive data analysis to library information resources, focusing on enhancing the efficiency of resource utilization and user satisfaction through personalized recommendation services. We employ cluster analysis algorithms, and least squares support vector machines to model library users’ borrowing behaviors. Additionally, we use the Apriori algorithm and collaborative filtering to recommend books effectively. This study’s experimental outcomes show a notable 11.36% increase in the index of network resource demand satisfaction, indicating a significant enhancement in the library’s ability to meet resource update demands. The adoption of big data analytics has been instrumental in advancing library information management and expanding extensive data services. The findings underscore the pivotal role of big data in enhancing the efficiency of information resource utilization and elevating user satisfaction, mainly through personalized recommendations.
Exploring the Teaching of In-Class Practice Sessions in the Context of Big Data--Taking Chinese Language and Literature Major as an Example
Authors: Li Xue , Fei Hong
Published: May 2024

This paper establishes a comprehensive framework for the in-class practical teaching curriculum tailored to majors in Chinese Language and Literature. It comprises four core components: a system of practical teaching content, specified practical teaching requirements, practical training modules, and a target index system for practical teaching outcomes. Through the application of single-factor and two-factor analyses, this study investigates the correlation among course outcomes to refine the scheduling arrangements and the model itself. It introduces a scheduling process designed using a genetic algorithm, which is also employed to allocate instructors and courses within the practical course curriculum, calculating the average teaching hours per instructor. Additionally, the research examines the impact of students’ gender and their varying levels of comprehension regarding professional practice abilities on their practical skills in the field. Specifically focusing on the discipline-related practical activities in Chinese language and literature, the study identifies key courses within the major. Notably, it found a significant correlation coefficient of 0.691 between literary writing and literary appreciation courses. Moreover, the overall average for career development capabilities, based on different levels of professional understanding, is 3.9975, indicating that a deeper comprehension of career development in this major positively influences students’ practical skills in Chinese Language and Literature.
RPA-supported digital workforce in the field of statistical work in the electricity market
Authors: Li Mingli , Cheng Qilin , Luo Guozhong , Zhu Ming , Gao Fangping
Published: May 2024

How to count a large amount of data and information more efficiently in electric power statistics has become the main problem that electric power enterprises should pay attention to. For this reason, this paper proposes a study on the application of digital employees using RPA technology in the statistical analysis of the electric power market. Optimizing power market statistics is achieved by using the improved particle swarm algorithm SN-PSO, which is based on the fitness function and particle coding strategy to address the unbalanced load phenomenon. In AI-related technology, we create digital employees and conduct case studies on electricity market statistics by combining RPA technology with image recognition technology, NLP, and knowledge graph technology. The results show that the customers of the power supply company that show negative growth in electricity are mainly concentrated in the manufacturing industry (average value of 21.44) and the mining industry (average value of 7.36). In contrast, from the perspective of regional distribution, the negative growth rate of the customers in the large customers is mainly concentrated in the region of E and the remaining region of the large customers, which indicates that these two regions need to strengthen tracking management. This study improves the statistical work mode of electrical enterprises in the information age so that electric power enterprises and China’s market economy can develop better.
Deep learning models were used to analyze the relationship between music preference and radiability psychology characteristics
Authors: Ye Zi
Published: May 2024

In this study, we employed a Deep Belief Network-Deep Neural Network (DBN-DNN) model to perform personalized data analysis based on user-specific music preferences and listening behavior. This approach seeks to transcend informational boundaries and enhance the exploration and realization of the intrinsic value of data. We conducted a regression correlation analysis on a comprehensive dataset to investigate the potential relationship between college students’ music preferences and their personality traits, considering both musical and psychological dimensions. The study revealed that pop music (mean rating of 3.89), classical music (2.97), and hip-hop music (2.13) ranked highest in popularity among college students. Additionally, a significant negative correlation was observed between the preference for tension-rebellion-themed music in adulthood and the family’s socioeconomic status during childhood (-0.357). Furthermore, there was a notable positive correlation between openness to experience and preferences for classical music, popular music, and blues music (-0.864). A positive correlation was also evident between conscientiousness and preferences for classical music, light music (0.834), and traditional Chinese music. Thus, the DBN-DNN model coupled with regression analysis effectively elucidates the relationship between music preferences and psychological traits.
Design and realization of the digital protection platform of traditional intangible cultural heritage based on virtual reality technology
Authors: Zhang Chao , Duan Limin , Hu Bin , Xue Yao , Cheng Yun , Wang Yang
Published: May 2024

Using new design concepts and design methods to effectively strengthen the digital protection of traditional non-heritage culture is an important measure to promote the development of conventional non-heritage culture. In this paper, the digital protection needs of traditional non-heritage culture are sorted out, including the purpose of digital protection of non-heritage, the design level, and the feasibility of the application of virtual reality technology in the digital protection of non-heritage culture. A platform for the digital protection of non-heritage culture is constructed with the model of PHP technology + MySQL database + Apache server combined with virtual reality technology, and the immersion experience and display dissemination model is designed in this platform. In order to obtain accurate digital images of traditional non-heritage culture, this paper utilizes 3D laser point cloud acquisition technology to reconstruct non-heritage culture in 3D. It combines the ICP algorithm to enhance the point cloud alignment accuracy of digital images of non-heritage culture. Evaluation of the effectiveness of the traditional non-heritage culture digital protection platform proposed in this paper was done through performance tests and application practice. The results show that the number of concurrent users of the platform in this paper can reach the maximum throughput of about 94,300 per second in 2000, the point cloud alignment accuracy of the ICP algorithm has an error of only 0.304mm, and the SUS usability evaluation of the platform scores 80.4 points. The construction of a digital protection platform for non-heritage culture using virtual reality technology can provide users with immersive experience scenes.
The practice and prospect of algorithm-driven virtual simulation technology in medical undergraduate education
Authors: Tao Lili , Tao Qianshan
Published: May 2024

Amid growing interest in the use of virtual simulation platforms in educational settings, the reform of medical education increasingly looks to virtual simulation technology as a promising new avenue. This study aims first to analyze the components of a virtual simulation system and to enhance the functionality of virtual simulation technology by optimizing the network model algorithm. Utilizing cloud computing technology, a virtual simulation teaching experiment platform was constructed. Further, a virtual simulation medical education system based on the BOPPPS teaching model was developed to address the constraints of practical experience in the traditional undergraduate medical education model. Empirical analysis of the virtual simulation medical education mode reveals that the CPU utilization rate on the constructed cloud platform ranged from 2% to 35%, and the memory usage varied between 15 and 25 GB. In comparative assessments of medical education practices, this study found that students trained under the virtual simulation technology-enhanced model scored 0.96 to 1.53 points higher in various skill assessments than those trained under traditional methods. Moreover, the total scores for communication abilities increased by 5.48 points, highlighting a significant improvement. These results affirm the superiority of the virtual simulation technology medical education model presented in this study. They underscore its practicality and feasibility for application and development in undergraduate medical education, providing a substantive pathway for integrating advanced virtual simulation technologies into medical training.
Analysis of Influential Factors of Ideological and Political Education Reform in Colleges and Universities--Based on Multiple Linear Regression Perspective
Authors: Shao Yiming
Published: May 2024

The reform of ideological and political education in higher education encompasses a broad spectrum of challenges, many of which continue to impede its effectiveness. This paper delves into these reforms by constructing an index system of factors that influence the effectiveness of ideological and political education, and it posits several research hypotheses. Within this framework, factors identified from the index system serve as independent variables, while the efficacy of ideological and political education reforms serves as the dependent variable. A multiple linear regression model is employed to analyze these relationships, with evaluations conducted through fit, residual, and variance tests. Correlation analysis is utilized to explore the interactions among the influencing factors, and hypothesis testing is performed on each variable in relation to the impact of Civic and Political Education reform. The analysis reveals that teacher-level factors provide a substantial explanatory power of 79.6%, positively impacting the reform efforts. Conversely, the regression correlation coefficient at the student level stands at 0.165, indicating a negligible linear relationship with the reform outcomes. All hypotheses were validated, with the exception of H5. This study not only provides a foundational reference for enhancing current reforms in Civic and Political Education but also lays the groundwork for future strategic planning in this crucial educational domain.
Comparing the efficiency of maxillary protraction using digital cooperation monitoring in ages 4–7 and 8–11: a prospective study
Authors: Yaradanakul K. , Yilmaz B.
Published: May 2024

Objectives

This study compares the effectiveness of face mask therapy applied after rapid maxillary expansion (RME) in 4- to 11-year-old patients with objective co-operation data collected using thermal sensors. The null hypothesis was that there would be no difference in the effectiveness of the maxillary protraction.

Materials and method

Initial and post-treatment lateral cephalometric radiographs were taken of patients with maxillary retrognathia, aged between 4 to 7 years (6.1 ± 1.88, n = 13) and 8 to 11 years (9.4 ± 1, n = 12) of age. An RME was performed for at least 10 days. The face mask protraction force was set to 450 g per side, and the recommended usage was 10 hr per day. TheraMon® microsensors were integrated into the face mask.

Results

The daily usage was significantly higher in the younger age group (8.9 ± 1.8 hr) compared to the older group (7.1 ± 0.9 hr). The SNA angle, A-Nasionperp (mm), ANB angle, Wits (mm), maxillary depth, ANS-Me (mm), the molar relationship (mm) and overjet (mm) significantly increased in both groups. Co-A (mm), the saddle angle, articular angle and UL-E Line (mm) showed a significant increase only in the older group, while the L1-A/Pg decreased significantly. The SNB angle decreased significantly only in the younger group. There was no statistically significant difference in the delta values between the two groups.

Conclusion

The null hypothesis was partly rejected since no difference was observed in the examined skeletal and soft tissue parameters.
Living, Caring, Learning – Reflections on the therapeutic relationship in haemophilia care
Authors: Butler Regina
Published: May 2024

Now nearing retirement, Regina, who was involved in establishing a haemophilia programme for children and young adults in the United States, reflects on the therapeutic relationship between haemophilia nurses and their patients. Having been involved in haemophilia nursing in the 1980s, Regina’s practice has been influenced by her experience of caring for young patients who were infected with HIV/ AIDS following treatment with contaminated blood products. She considers compassion and emotion in nurses’ relationships with their patients and highlights the key role of contact with colleagues and peer support, particularly during difficult times. While trust is an essential part of the therapeutic relationship and is valued by both the patient and the nurse, Regina reflects on how this can result in dependence. She points to the importance of setting clear boundaries and how this ensures that the patient establishes trust with the wider team or system delivering their care, not just an individual nurse. In her roles as clinical manager, haemophilia centre director and nurse coordinator, this is now part of the advice she shares with her own team. Despite a sense of caution about new therapies as a result of her experience during the 1980s, Regina has been involved in gene therapy trials and feels that the future looks positive for people with haemophilia.
Living, Caring, Learning – Early education, active lives and tailored treatment in haemophilia care
Authors: Belev Josipa
Published: May 2024

Josipa, a haemophilia nurse in Croatia, describes how meeting 18-year-old twins with severe haemophilia A changed her views around joint health and activity in people with haemophilia. The twins had started prophylaxis at a young age, learning to self-infuse at a haemophilia summer camp, and were both sporty and active. Neither had experienced joint damage and, 20 years later, they continue to live active lives. Josipa reflects on her own experience of volunteering at a haemophilia summer camp and teaching young people with haemophilia to selfinfuse. She highlights the importance of talking with patients about their lives and understanding their lifestyle and circumstances to provide a treatment regimen tailored to the needs of the individual. Reflecting on the benefit of activity and exercise to joint health in people with haemophilia, Josipa describes how this has also inspired her to become a Nordic walking coach. She notes that access to more effective treatments has enabled a focus on quality of life in haemophilia care, and the importance of maintaining good physical health in an ageing haemophilia population.
The strategies of parents who tell their daughters about the possibility of being a haemophilia carrier
Authors: Nozaki Keiko , Yamazaki Akemi
Published: May 2024

Introduction

Women who carry the haemophilia gene have a genetic risk of having a son with haemophilia, as well as the risk of abnormal bleeding; thus, there is an increasing interest in ‘carriers’ as subjects that potentially require medical support. However, in Japan, only about half of individuals with a family history of haemophilia inform their daughters that they may be carriers.

Aims

The purpose of this study was to identify strategies used by parents to inform their daughters about their possibility of being haemophilia carriers.

Method

Parents of daughters with confirmed or suspected carrier status, based on family history, were included in the study. A semi-structured interview was conducted, and data were analysed qualitatively using an inductive approach.

Results

Eight parents (two men, six women) were included. The mean age of participants was 58 (range: 44-70) years; interviews lasted 76 minutes on average (range: 49-100 minutes). Data showed that parents align their values with each other and share information about their daughters between them (information sharing between partners). They also adopt roles according to sex. Mothers often played the primary role in the process of sharing information with their daughters as they are of the same sex. Since all daughters of fathers with haemophilia would be confirmed carriers, fathers were more concerned about how their daughters might react and had more guilt about their daughters. Parents also attempted to prepare for informing their daughters about haemophilia by observing their stage of mental development to determine the optimal timing to have these conversations. When sharing information about haemophilia, parents were careful to inform their daughters while considering their feelings to ensure that daughters received the information in a positive light. After sharing information about haemophilia, parents played the role of ‘daughter’s supporter’ by confirming their level of understanding and their feelings and considering possible ways to support them in the future.

Conclusion

Assessment of carrier status can only begin if parents tell their daughters about the possibility of being a haemophilia carrier. Based on the five strategies identified, medical professionals should provide parents with information about haemophilia carriers and sharing information on genetic risk.