bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Integration of Discourse System of Chinese Indigenous Art Theory and Art Aesthetics
Authors: Wang Zhiyang , Liu Feng , Liu Guangyuan
Published: July 2024

The long-term development of Chinese art theory can not be separated from the art theory doctrine system constructed by the West. In order to integrate Chinese art theory with aesthetics, it is necessary to localize the construction of Chinese art theory. This paper starts from the foundation of Chinese art aesthetics and proposes the direction of the construction of the Chinese art aesthetic discourse system. Based on the guidance of art discourse graph theory, combined with the BERT extractive summary model, the discourse relationship system is divided into four steps: task determination, vector representation of discourse units, graph encoder establishment, and discourse unit selection. Applying the model to reality analysis, the results are as follows: “art definition” is the keyword with the highest frequency and centrality in the field of art theory and aesthetic fusion after appearing in 2017, which is 295 times and 0.896, respectively. Art theory and aesthetic fusion of art are separated into two stages, based on 2020 as the demarcation line. After 2020, the keyword intensity becomes “empathy”, “modern art,” and “art aesthetics”, with an intensity of 4.4966, 3.4321, and 3.4565, respectively. China’s local art theories are shifting towards art aesthetics, and the integration is a natural process.
Exploration of Enterprise Informatization Management Innovation Strategy Model Driven by Big Data Technology
Authors: Xu Zheng , Wang Jiancong
Published: July 2024

The development of big data technology provides new ideas and choices for the change of enterprise management style, and informationization management innovation becomes an important means to enhance enterprise competitiveness. In this paper, we mainly use the enterprise informatization maturity model, critical success factor method PDCA management cycle, and other methods combined with the Internet big data technology to study the optimization scheme of enterprise informatization management innovation. The evaluation model is used to evaluate the enterprise’s performance after informatization management innovation to assess the effect of enterprise informatization management innovation. Through the case study of Enterprise-A, which is mainly engaged in the manufacture of steel structure parts for new energy power generation equipment, it is concluded that the management structure of Enterprise-A is clearer, and the authority and responsibility of each department are more explicit after the optimization of information management innovation. The optimized collaboration platform system, human resource management information system, and mobile office system have contributed to Enterprise A’s increased competitiveness in the market and industry. The evaluation index system of Enterprise-A, after the optimization of information technology management innovation, is constructed with 1 target layer, 8 criteria layers, and 24 index layers using the topological evaluation model. After calculating the weights and other work, it is concluded that the performance of enterprise A after informationization management innovation reaches grade 4, which is in the state of “good”. The optimization program of Enterprise A’s information management innovation is effective, as evidenced by this.
Research on the Development of Student Work in Colleges and Universities Suitable for the Characteristics of Contemporary Students in the New Media Era
Authors: Liu Maocan
Published: July 2024

The traditional paradigms and methods of student management no longer suffice to meet the evolving needs of students in the era of new media. Hence, it is imperative for higher education institutions to continually seek innovative approaches to student work management. To this end, a structured questionnaire was developed to investigate the adoption and impact of new media on student work management in colleges and universities. This survey was designed to align with the distinctive attributes of contemporary students and to explore novel pathways for student work in the context of the new media landscape. To further understand the factors influencing the quality of student work management services, a subset of students was selected for a detailed questionnaire survey. The data collected was subjected to causality analysis and multiple linear regression to assess the satisfaction levels concerning the evolution of student work management in the new media milieu. The findings revealed that the most frequently accessed media platforms among the sampled institutions were WeChat official accounts, with a usage rate of 76.01%, and university official websites, at 40.09%. Additionally, more than 80% of the students exhibited a preference for new media platforms over traditional media. Statistical analysis at the 1% significance level confirmed the impactful roles of respect and care, campus environment, and school management in influencing student job satisfaction. Notably, school management emerged as the most influential factor, with a standardized coefficient of 0.329, underscoring its paramount importance in enhancing student job satisfaction. This study provides valuable insights and serves as a foundational reference for the enhancement of student work management strategies in the digital age.
Research on the Path of Improving Vocational Literacy and Talent Ability of Nautical Students in the Era of Artificial Intelligence
Authors: Tang Decai
Published: July 2024

Nautical talents are the first resource and fundamental guarantee for the development of marine careers, strengthening the construction of nautical talents and realizing the effective supply of nautical talents have become the urgent task of building a strong marine country. This paper combines the basic situation of the current nautical personnel training and the training requirements of nautical personnel, constructs the vocational literacy and ability enhancement path of nautical students based on the integration of post-course, race, and certificate under the guidance of the OBE concept, and constructs the corresponding index system. Subsequently, combining the hierarchical analysis method and entropy weight method, the weights of the indicators in the evaluation system of nautical students’ vocational quality and talent ability are calculated, and the cloud model is utilized to evaluate the vocational quality and talent ability of nautical talents after cultivation. The results of the study show that the comprehensive evaluation level of the vocational quality and talent ability of the maritime students of Jimei University after the implementation of the pathway is “good”. Among the secondary evaluation indexes, the vocational concept evaluation cloud has the highest degree of affiliation, which is 9.31. This indicates that the vocational concept of navigation students is being cultivated at a very high level. The evaluation result of “vocational behavior” also belongs to the “good” level. The cultivation path proposed in this paper provides a reference for the enhancement of the vocational quality and ability of nautical talents, and it can improve the cultivation of nautical talents through the synergistic approach of government, industry, enterprise, and school, and guarantee the enhancement of the vocational ability and career expansion of nautical talents.
Research on Prediction of User Repurchase Behavior and Marketing Strategies in Internet Marketing
Authors: Liu Yanling , Wang Yueji , Feng Lei , Wu Yuyao , Hao Xuechao , Bhowbhandee Chanad
Published: July 2024

While users consume and shop on e-commerce platforms, they will generate a huge amount of data information, and tapping the potential value of these data can optimize online marketing and bring users a better consumption experience. This study aims to predict users’ repurchase behavior and formulate personalized marketing strategies by analyzing their repurchase behavior on e-commerce platforms. First, the improved RFM model and K-means++ algorithm are utilized for user value classification. Then, a model for predicting user repurchase behavior was constructed based on Logistic regression, XGBoost, and SVM, respectively, and the prediction effects were compared. Then, the prediction models UI and U-C are built based on the XGBoost algorithm from the perspective of user and product category, respectively, and fused using the Soft-Voting method. The prediction effect of the fused models is verified at the end. The F1 values for all three models in the test set are approximately 0.2, and the XGBoost model has a significantly superior prediction effect than the other two models. The precision, recall, and F1 values of the fused model are about 0.31, 0.26, and 0.28, respectively. These values have been improved by about 4%-19% compared to the pre-fusion. The fusion model’s ROC curve is located at the upper left corner and has an AUC of 0.82, indicating high accuracy and stable results. This study provides feasible suggestions for the development of online marketing strategies to promote user repurchase behavior.
Innovations in the PEDAGOGY Model in Basketball Education - Incorporating Cognitive Science and Educational Psychology
Authors: Bai Yong , Yang Guanghui
Published: July 2024

This paper attempts to establish a new educational methodology for the theoretical system of basketball education in order to further investigate the ideological basis, basic principles, and value and significance of basketball education. The study achieves this purpose by integrating cognitive science and educational psychology into the PEDAGOGY model. Firstly, it organizes the basic philosophy of basketball education, then integrates cognitive science and educational psychology into the PEDAGOGY model, reforms and innovates the current basketball education, and designs the basketball teaching mode after the model is innovated. Finally, in order to investigate whether the basketball teaching quality is affected after the innovation of the PEDAGOGY model, the main factors affecting the basketball teaching quality are screened by the factor analysis model and the EM algorithm. Through the empirical analysis, the basketball course teaching factor has the largest contribution rate of 25.632%, in which the loadings of embodied cognition reached 0.865 and psychological counseling reached 0.875, indicating that the PEDAGOGY model integrating cognitive science and educational psychology is the main factor affecting the quality of basketball teaching.
Research on the optimization strategy of matching the structure of vocational education and industrial development in Hubei under the background of big data
Authors: Cai Xu , Liu Junli
Published: July 2024

There is a certain gap between the current situation of matching vocational education graduates and regional industrial development letters in Hubei Province, which needs to be dealt with by the efforts of vocational education institutions, the government, industrial frontiers, and graduates themselves. Aiming at the current problems of Hubei Province that the match between vocational education and industrial development structure is not high enough and the level of cooperation between industry and education needs to be improved, this paper puts forward the optimization strategy of matching between industry and education in vocational education institutions that contains five suggestions. After designing the hierarchical analysis and fuzzy comprehensive evaluation method to construct the evaluation index system, the C1 vocational education institutions that carried out the optimization reform of industry-industry matching according to the strategy of this paper were compared with the remaining two ordinary vocational education institutions. It is found that the overall level of industry-education matching of C1 institutions, 87.489, is the highest among the three institutions and is excellent, and the scores of the first-level indexes are 87.095, 90.216, and 85.371, respectively. The satisfaction levels of faculty, curriculum construction, and enterprise benefit are 0.91, 0.9, and 0.95, thanks to the fact that C1 colleges and universities have introduced off-campus industrial mentors under the guidance of the strategy of optimizing the matching of production and education increased the number of applied skills courses, expanding school-enterprise cooperation and other initiatives have had obvious effects. The employment rate of graduates in their specialty counterparts has steadily increased from 69.4% in 2018 to 88.5% in 2023, and the degree of structural matching between vocational education and industrial development has significantly increased. This paper makes useful thinking and innovative strategies for achieving better matching between vocational education and industrial structure, and promoting industrial development and economic transformation and upgrading in Hubei Province.
Exploring the Digital Transformation of Enterprise Finance Based on the Finance Sharing Model
Authors: Chen Shuyang , Yu Xian , Liang Jinhua , Feng Cuicui , Yang Xiaoyang
Published: July 2024

Blockchain is one of the key technologies for the digital transformation of corporate finance because it satisfies the requirements of enterprise financial sharing with its features of contract execution, openness and transparency, decentralized distributed ledger, traceability, and non-tampering. In order to support business digital transformation under the financial sharing model, blockchain technology is used in this study, along with an analysis of the internal and external factors influencing enterprise financial digital transformation. In order to guarantee data security and enhance the processing efficiency of the financial sharing center, the Byzantine fault-tolerant RAFT algorithm is adopted as the private chain’s consensus algorithm, and PBFT is adopted as the federated chain’s consensus algorithm. These decisions are based on the compatible architecture of blockchain technology and the characteristics of financial sharing. The financial sharing center’s effects are assessed in relation to Enterprise A’s blockchain-based financial activity application system. According to Enterprise A’s cash flow statistics, paid employee compensation fell in 2018 from 2.943 billion to 2.864 billion. The audit and accounting industry may streamline procedures, expedite processing, lower labor and time expenses, and achieve favorable outcomes by utilizing the financial shared service model under the blockchain paradigm.
A Study on the Cultivation of Multicultural Literacy in College English Teaching Based on the Construction of Cognitive Maps
Authors: Chai Qi
Published: July 2024

Using the CNN network model and attention mechanism, this paper completes the construction of the cognitive graph pattern layer based on Protégé programming, crawls the relevant data from the dimensions of language ability, learning ability, thinking, and cultural character of multicultural literacy in English teaching, extracts the entity-relationship of multicultural literacy in English teaching, stores it in the Neo4j corpus, and ultimately completes the construction of the cognitive graph for the cultivation of multicultural literacy in English teaching. Following simulated experiments to evaluate the algorithm’s performance, a case study was carried out to foster English multicultural literacy from the standpoint of the cognitive graph. The information demonstrates that the convolution technique and an attention mechanism work well together to increase relationship extraction efficiency. Further evidence that the cultivation of multicultural literacy in English teaching focuses on language ability, learning ability, thinking character, and cultural character in order to quickly improve students’ English multicultural literacy comes from the keywords with high word frequency in English multicultural literacy: “language ability (388, 0.899)”, “learning ability (185, 0.449)”, “thinking character” (114, 0.38), and “cultural character” (105, 0.335).
Innovative Cultural Tourism in the Perspective of Cultural Ecology in the Context of Big Data: Theory, Strategy, Practice
Authors: Chu Li
Published: July 2024

Taking cultural ecology as the carrier of tourism resources, it fully embodies the significance of the synergistic development of cultural tourism ecology for the innovation of the cultural tourism model. The article establishes a cultural tourism ecological synergy model by integrating cultural ecology and cultural tourism under the guidance of the theory of the life cycle of tourist places and industrial innovation. Taking the nine provinces of the Yellow River as the research object, its cultural tourism data are collected and pre-processed, cultural tourism keywords are extracted by the TextRank algorithm, and the LDA model is established to obtain cultural tourism themes. The Skip-gram model was combined with the GCN network to establish a cultural tourism emotional image perception model, and the Moran index and nearest-neighbor index were introduced to analyze the spatial structure and regional evolution of cultural tourism attractions. The keywords of cultural tourism are mainly embodied in ecology and culture, which all appear more than 1,000 times, and the percentage of tourists’ most concerned cultural tourism themes is 22.15%, and most of the nearest neighbor indices of the spatial structure of the attractions at different levels are less than 1, which is cohesive. The Moran index of tourists’ footprints in 2022 is 0.106, the footprint coverage rate is 0.26 percentage points higher than that in 2012, and tourists’ positive emotional evaluation of cultural tourism destinations reaches 80%. Based on cultural ecology, realizing the synergistic development of cultural tourism and ecology is the way to innovate cultural tourism.
Deep Learning-Based Image Style Transformation Research on Landscape Paintings of Wei, Jin and North-South Dynasties
Authors: Li Shuangqi
Published: July 2024

In this paper, the convolutional neural network is applied to the processing of stylistic features in the images of landscape paintings of Wei Jin and North and South Dynasties. After convolution and pooling activation, rich and less parametric feature maps are generated to lay a solid foundation for generative adversarial networks. Meanwhile, in order to ensure the rigor of the image dataset of landscape painting images under scene transformation, an improvement is proposed on the basis of traditional GAN technology, and a function represents the improved CycleGAN model. The experimental dataset has been constructed, and the loss function, network training, and hyperparameters have been designed for the model. The visual and conversion outcomes of the model-generated images are evaluated through simulation experiments. The migration of all landscape painting style textures is within the range of (0.5,2.4) at a gray level of 8. The migration styles increase as the gray level increases, and the data between groups does not overlap. In the subjective evaluation of the landscape painting style transformation generated by the model used in this paper, the score of the generated image is 3.8135 points, while the number of high scores is more than 65% of the votes. The model constructed in this paper has a better effect on the transformation of the image style of the Wei, Jin, and North and South Dynasties, and it can satisfy people’s visual needs.
Enrichment and Expansion of Classical Dance Teaching Content under the Perspective of Innovative Education
Authors: Liu Zhuo
Published: July 2024

This paper proposes a collaborative filtering-based learning resource recommendation algorithm to help learners find interesting resources in a huge amount of teaching resources and improve learning efficiency and learning interest so that the classical dance teaching content can be further enriched and expanded. By improving the K-means clustering algorithm, the article realizes the clustering of students’ classical dance teaching content preferences and further proposes a collaborative filtering algorithm based on ratings and attribute preferences of classical dance teaching resources, which takes into account the relationship between users’ needs and the attributes of the resources in order to complete the personalized recommendation of classical dance teaching resources for students. The article finally takes a dance teaching classroom as an example for empirical research. In the two groups of classical dance performance scoring a single total average score, the experimental group’s performance of dance movements is better than that of the control group, the average score of the experimental group’s pre-test is higher than the average score of the control group’s pre-test by 8±1.8 points, and the average score of the experimental group’s post-test is higher than the average score of the control group’s post-test by 9±2 points.
A Study on the Utilization of Polyphonic Folk Songs in College Choral Teaching in the Context of Big Data
Authors: Xia Fan
Published: July 2024

Introducing polyphonic folk songs into the choral teaching classroom in colleges and universities not only helps to carry forward the excellent traditional culture but also promotes the students’ emotional education and physical and mental health development. This paper analyzes the status quo and dilemma of the use of polyphonic folk songs in college choral teaching and puts forward the model of music choral intelligent tutoring system (ITS) and the method of spectral tone recognition as countermeasures. A collaborative filtering algorithm is used to construct the learning resource recommendation algorithm in the music chorus intelligent guided learning system model, which is based on the ITS system structure. The YIN algorithm is used to extract the audio, and the pitch template matching is accomplished with the help of the improved DTW algorithm to complete the choral ability assessment. An improved normal harmonic algorithm has been proposed to preprocess the audio signal and achieve spectral tone recognition for multi-part folk songs in the fundamental frequency extraction stage of spectral tone recognition. In a comprehensive university in Sichuan Province, China, the teaching practice of polyphonic folk song chorus was carried out. The students’ scores in the dimensions of learning interest and learning confidence increased by 0.976 and 0.698 on average after the experiment. The p-values were all less than 0.05, showing significant differences.
Research on data-driven multi-sensory design path based on Chinese gardens under the perspective of AI big data
Authors: Xie Na , Xia Zhongjun , Zhou Wenyu
Published: July 2024

In order to promote the development of the Chinese gardening field, this paper proposes a data-driven, multi-sensory design for Chinese gardens. The multisensory design of Chinese gardens, which combines data-driven technology and VR technology, is explored from two perspectives: the visual and auditory senses. It is found that the design easily leads to the loss of the natural beauty of the garden. For this reason, the layout optimization model is constructed using the improved PSO algorithm, and the corresponding analysis method is applied to analyze the effect of the multi-sensory design of the garden. The results show that the model in this paper is better than the other two control models in terms of weighted mean (4.078) and convergence time (0–4 ms). It was also found that the basis for visitors to make experience visual satisfaction evaluations was basically whether the floral landscape was beautiful (39.18%) and whether the field of view was open (23.27%), and the auditory experience design evaluation scores were higher for acacia forests (5.436), red-leafed ridges (4.091), snapdragon forests (3.872), and metasequoia forests (3.657) in the gardens. The research in this paper reveals the focus of multi-sensory design in Chinese gardens, which can provide theoretical references for research in the field of Chinese garden design.
Research on Practical Innovation of Elderly Education Service System in the Era of Artificial Intelligence
Authors: Li Xiao
Published: July 2024

The trend of our country into an aging society is becoming more and more obvious, and the elderly education service has become the focus of social attention. The integration of artificial intelligence into elderly education is one of the inspiring ideas in which the personalized recommendation algorithm can recommend educational resources according to the characteristics of older people, and it has the prospect of application. In this paper, we first provide a CTransD-GAT recommendation model based on a knowledge graph, which improves traditional problems such as data sparsity by setting weight preference and feature aggregation. A dynamic preference-capturing method is proposed based on contextual interaction to capture the variable user learning interests more accurately and flexibly. This paper examines the practical utility of personalized recommendation methods for educational resources based on these two improved techniques. The post-test mean score of each knowledge module test of the experimental group is improved by 1.83 points compared with the pre-test, 11.46 points improve the score of teaching ability, and the scores of perceived usefulness, ease of use, and intention to use are 3.82, 3.89, and 3.97, respectively. It shows that the improved educational resource recommendation model has an excellent effect on improving knowledge structure and teaching ability, and it is characterized by simplicity and ease of use.
Artificial Intelligence-Assisted Training and Skill Enhancement Strategies for Athletes
Authors: Lin Li , Wang Pengshan
Published: July 2024

The continuous progress of science and technology promotes the continuous development of artificial intelligence, and digital intelligence empowerment has gradually become a focus topic of widespread social concern. Considering that traditional sports training is difficult to meet the higher requirements put forward by athletes on training methods, training load, and training equipment, this study combines artificial intelligence technology to explore the path of skill enhancement. In this paper, based on the skeletal key points for athlete training action recognition, the improved DHRNet network is optimized for the detection of skeletal key points and then for the complexity of the athlete’s training state, the occlusion of the skeletal points and the repair of motion information are carried out. On this basis, we construct an artificial intelligence-assisted training system composed of a video image input function system, action recognition function system, and behavior analysis function system. After completing the design, the core module of the system, the motion recognition system, was tested. The average recognition success rates of basic and sport movements were between 90.8~95.6% and 84.5~96.5%, respectively. The overall recognition correctness rate remained above 90% in the actual application test, which can meet the training needs of athletes. The average score for all abilities of the athletes using the AI-supported system is 85.242, which is 6.21 higher than that of the traditional training method. The AI-assisted system is of great help to athletes’ training, and it also enables the early realization of intelligent training.
Study on the Path of Rural Tourism for Rural Revitalization under the Threshold of Value Co-Creation
Authors: Liu Lingyu
Published: July 2024

Rural tourism presents multifaceted development and community participation as the core of rural tourism development also serves as a solid force for rural revitalization. Under the concept of value co-creation, community residents are involved in the entire process of rural tourism development, and their role is more significant. Studying the participation of community residents in rural tourism development is of great significance. In this paper, we construct a dynamic model of the rural tourism value chain using value co-creation and elaborate on the co-creation processes involved in the entire value creation process. Combined with the sample data to analyze the overall situation of rural tourism development, we collect data on the willingness of community residents to participate and construct a regression model of the factors influencing the willingness of community residents to participate in rural tourism. With the conclusion of the influencing factors analysis, we further analyze the motivation and behavior of community residents’ participation in the development of rural tourism and propose relevant strategies to optimize the path of rural revitalization with respect to the overall level of community participation. The correlation analysis of the influencing factors shows that the correlation coefficients of residents’ ability to participate, residents’ motivation to participate, residents’ attitude to participate, and the degree of community participation in rural tourism are 0.686, 0.785, and 0.706, respectively, all indicating positive correlation. Community residents’ participation in conservation behavior and responsibility and obligation motivation have a significant positive correlation. The correlation coefficient is 0.623, and the significance is 0.000, which indicates that community residents’ participation occupies an important position in the whole rural tourism development community, and the innovative community participation mechanism can significantly accelerate the development of rural revitalization.
Emotional Characterization of Rural Recreation Tourists Based on Big Data
Authors: Ma Jin
Published: July 2024

In recent years, people’s consumption of the health industry has increased dramatically. The tourism industry will focus on the development of rural tourism and recreation tourism, as a new form of rural recreation tourism is also regarded as one of the leading directions of recreation tourism. This paper focuses on the study of tourists’ emotion visualization model based on big data, which first screens the textual topic words of rural recreation tourism based on the method of information gain and chi-square test and classifies different recreation topics after calculating the eigenvalues of the screened topic words based on IF-IDF. On this basis, the recuperation theme texts of different themes are preprocessed, while the emotional features embedded in the texts are extracted and empowered, and the emotional tendency of tourists towards rural recuperation tourism is explored based on the support vector machine model. Taking Kunming City as an example, among the positive emotional features of tourists towards Kunming’s rural recreation tourism, the highest frequency is “good”, with a frequency of 9,153, and most of them are praises for Kunming’s “scenery”. The words “average”, “disappointment”, “regret,” and “poor” are the negative emotions generated by the failure of certain scenic spots to meet the expectations of tourists. The study confirms the existence of time-emotional tendency differences and emotional preference demand differences among tourists in order to enrich the ideas and application value of this research field and bring more practical significance to tourist destinations.
Improvement of Employment and Entrepreneurship Ability of College Students in Higher Vocational Colleges and Universities under the New Situation of Artificial Intelligence
Authors: Huang Ri’an
Published: July 2024

This paper first established a multiple linear regression model and estimated the model parameters using the least squares estimation method. Then, it analyzes the employment and entrepreneurship abilities of college students in higher vocational colleges and universities and analyzes the differences in the level of employment and entrepreneurship ability of students in different grades. Then, the impact of artificial intelligence technology on employment and entrepreneurship ability was analyzed in combination with relevant measurement indexes at home and abroad, and finally, based on the results of the analysis, the strategies for improving the employment and entrepreneurship ability of college students in higher vocational colleges were proposed from multiple aspects. The results show that for every 1% increase in the level of AI technology, the total number of people employed in the labor employment market rises by 0.48, and the employment income rises by 6.56. This study has certain reference significance for balancing the “positive effect” and “negative effect” brought by the development of artificial intelligence on labor and employment, and provides realistic and feasible basis for the introduction of employment policy and talent development policy adapted to the development of artificial intelligence.
A Model for Assessing the Impact of Intelligent Algorithms on the Translation Quality of Literary Works in Cross-Cultural Communication
Authors: Li Xue
Published: July 2024

In recent years, the accuracy and linguistic fluency of translation based on intelligent algorithms have been relatively close to that of human beings, and the application of intelligent algorithms has gradually become a research hotspot in the academic world. In this paper, it is found through relevant research that semantic retention, cultural appropriateness, linguistic fluency, content comprehensiveness and text readability are important factors in the application of intelligent algorithms for the translation of literary works for cross-cultural communication. To explore the degree of influence of these factors on the translation quality of literary works, this paper analyzes them using a multiple linear regression model. The first step in building the mathematical model for multiple linear regression is to construct it. Then, the formulas for calculating the goodness-of-fit and significance test of multiple linear regression equations are introduced. Finally, the regression model was tested using residual analysis and multicollinearity. The regression results show that the quality of literary translation = 0.165+0.124*Semantic retention + 0.356*Cultural appropriateness + 0.254*Linguistic fluency - 0.001*Content comprehensiveness + 0.256*Text accessibility. According to the results of the analysis, the impact of content comprehensiveness on the translation quality of literary works is not significant, and cultural appropriateness has the greatest impact on the translation quality of literary works.
Study on the Dissemination Mode and Influence of Literature on Rural Revitalization Topics in the New Media Environment
Authors: Lin Yejin , Pan Weiwei
Published: July 2024

The literature on rural revitalization serves as both a record and a witness to the development of rural revitalization in China. This paper outlines rural revitalization literature’s communication mode in the new media environment and proposes a model for its We propose IEOC, an important node group mining algorithm based on information entropy and overlap coefficient, to construct the communication influence model. We also introduce information entropy calculation nodes, measure the overlap of influence using overlap coefficients, and propose a floating probability cascade model, TFIC, to construct the communication influence model of rural revitalization literature combined with the model for analyzing the communication influence of rural revitalization literature, it reveals a moderately low total word frequency of high-frequency words (2332). Out of the 12 rural revitalization literature works under study, only Moon Beach has a communication influence index of more than 1. of more than 1. Compared to other mainstream literature, rural revitalization literature has a communication power of only 1785 and 18369, with fewer high-communication works and high-influence contents. The number of high-impact works and contents is relatively small. Overseas dissemination is characterized by a higher number of Chinese editions than foreign language editions, and there are also shortcomings in translation.
A Study Regarding Power Consumption of An IoT Node For Image Retrieval and its Optimization
Authors: Cornei Doru , Foșalău Cristian , Cornei Laura
Published: July 2024

This paper analyses the power consumption of an IoT node that captures images and transmits them to a cloud storage. Various implementation versions of the IoT node are proposed, focusing on the utilization of common components to achieve cost-effectiveness and minimize the maintenance requirements. The realised node variants were initially tested in laboratory conditions and then commissioned and deployed outdoors, being located in an orchard where they remained operational during 7 months under different meteorological conditions. The proposed solution utilizes an ESP32 microcontroller and a camera with a resolution of 1.3 Megapixels as a data acquisition node whose energy is assured by a Li-Po battery, charged through a solar panel. Wi-Fi communication was employed to transmit the images to the server. The power consumption of the node was evaluated for different variants of software optimization using the HTTP or the MQTT transmission modes. The instantaneous current consumption of the nodes was measured in laboratory to identify the power consumption for each phase of the program execution.

The experiments revealed that the MQTT transmission mode consumed considerably less power than the HTTP mode. Additional experiments have been performed in which the variation of the battery voltage, the solar panel voltage and the number of daily emissions in the examined period, as well as correlations between these quantities have been analyzed.
Approaches to the Realization of A Virtual Electric Machine Laboratory on Matlab&Simulink
Authors: Oprea Petronela-Camelia , Sălceanu Alexandru
Published: July 2024

This virtual lab integrates the Matlab&Simulink experimental model, which gives students the opportunity to verify their theoretical knowledge. The paper proposes the development of the Simulink model of the DC motor, aiming to achieve a more effective speed control. We describe the implementation of a virtual lab based on mathematical models. Our virtual lab in Matlab&Simulink in correspondence with the traditional one implies particular advantages: the time allocated to the development of a virtual laboratory is shorter than that required for a classic one, the scalability is wider and the cost is lower. The paper presents with the three main blocks: the excitation, the inductor and the mechanical block. The parameters defining both the transient regime of the excitation circuit (application duration and excitation voltage) and the stabilized operating regime at idle are established. The new transient regime of operation under load is studied, followed by the stabilized regime of operation under load.
Patriotism among Slovenian Youth: Empirical Research
Authors: Kukovič Simona
Published: July 2024

Research in Slovenia shows a low level of expression of patriotism among young people, which points to the fact that we are unable to express this value because we are not convinced of its quality and necessity. The belief that we will love and respect our homeland, which has also been a state since 1991, is based on completely false assumptions. Those who were emotionally present at the founding of our country naturally have a keener sense of patriotism, but the younger generations see the emergence of an independent and sovereign Slovenia as a historical fact, and therefore without any emotional overtones. Therefore, the results on the poor knowledge of the facts related to the establishment of an independent and sovereign Slovenian state, analysed in this article, are not really surprising.
The role of institutional and political factors in attracting Chinese and Russian multinationals to the Visegrad countries
Authors: Szunomár Ágnes , Peragovics Tamás , Weiner Csaba
Published: July 2024

International business research is usually focused on various aspects of foreign direct investment (FDI) by non-European emerging-market multinational enterprises (EMNEs) without attention to non-traditional factors pulling them into host countries. The objective of this paper is to examine the investments of EMNEs from two source countries, China and Russia, within the Visegrad Four (V4) economies. Based on interviews and a qualitative document analysis, it explores the main characteristics of their investments into the V4, including host-country determinants by focusing on macroeconomic, institutional and political factors. The paper finds that these factors do influence EMNEs’ investment practices, and that they correlate with the changing quality of political relations, but this influence needs to be assessed on a case-by-case basis.
Awareness of the general public towards pilonidal sinus disease in Jazan city, Saudi Arabia
Authors: Hakami Nasser , Haqawi Nawaf , Alabah Amjd , Shajeri Mohammed , Jarram Raed , Alsadi Fahad , Hakami Ali , Hakami Taif , Moafa Akram , Alabah Ahmed , Alfaifi Ahmed , Zakri Luay , Zakri Norah
Published: July 2024

Objective: This study aimed to assess the awareness of the general public in Jazan city about Pilonidal sinus disease (PSD) and explore different socio-demographic factors about awareness.
Methods: This was a cross-sectional study, conducted in Jazan, Saudi Arabia, targeting adults (18+ years of age) from various governorates. A random sampling technique was used to select participants.
Results: The study assessed PSD awareness among 435 participants with 57.5% (n = 250) being females. The majority were aged 18-25 years (n = 192, 44.1%) and were Saudi nationals (n = 426, 97.9%). Awareness was high, with 51% (n = 222) having >50th percentile awareness score. Media/internet/TV (n = 59, 13.6%) and healthcare professionals (n = 51, 11.7%) were key information sources. Males (Median = 5, Mean = 5.45, SD = 4.9) had higher awareness than females (Median = 3, Mean = 4.14, SD = 4.3), p = 0.005. Older age (Exp(B) = 1.451, p = 0.005), student status (Exp(B) = 3.785, p < 0.001), and higher weight (Exp(B) = 1.373, p = 0.038) significantly predicted awareness. Information from healthcare professionals (Exp(B) = 46.769, p < 0.001) and media/internet/ TV (Exp(B) = 18.635, p < 0.001) were strong awareness enhancers.
Conclusion: Awareness of PSD was generally high, especially among men, older individuals, students, and those informed by healthcare professionals or media. Significant predictors of high awareness included age, student status, weight, and key information sources.
DUKUNGAN KELOMPOK TANI TERHADAP PERILAKU PETANI PADI ORGANIK DALAM BUDIDAYA YANG RAMAH LINGKUNGAN
Authors: K Rangga Kordiyana , Listiana Indah , Safitri Anggun
Published: July 2024

Penelitian ini bertujuan untuk mengetahui tingkat perilaku petani padi organik dalam melakukan budidaya padi yang ramah lingkungan, hubungan antara dukungan kelompok tani dan faktor-faktor lainnya yang berhubungan dengan perilaku petani padi organik dalam melaksanakan budidaya padi yang ramah lingkungan di Desa Purwo Kencono, Lampung Timur.  Penelitian ini dilakukan di Desa Purwo Kencono, Kecamatan Sekampung Udik, Kabupaten Lampung Timur pada bulan Oktober 2022.  Responden pada penelitian ini adalah seluruh anggota kelompok tani Multi Baliwo yang berjumlah 30 orang.  Penelitian ini menggunakan metode sensus dengan pendekatan deskriptif-kuantitatif menggunakan pengujian data menggunakan statistik non parametrik uji korelasi Rank Spearman.  Hasil penelitian menunjukkan bahwa tingkat perilaku petani padi organik telah berada pada kategori sedang.  Pada penelitian ini terdapat empat faktor yang mempengaruhi perilaku petani yaitu: umur, tingkat pendidikan, dan lama berusahatani, namun hasil uji korelasi Rank Spearman menunjukkan hanya dukungan kelompok tani yang berhubungan dengan perilaku petani padi organik dalam melaksanakan budidaya padi yang ramah lingkungan dengan nilai signifikansi 0,487** yang artinya kekuatan korelasinya cukup kuat.  Kelompok tani sudah berusaha untuk memaksimalkan perannya kepada petani padi organik khususnya dalam peningkatan perilaku petani padi organik dalam melakukan budidaya padi yang ramah lingkungan
Association of cardiovascular health with anthropometric markers, cardiorespiratory fitness and quality of life of university workers
Authors: Silva Pedro Henrique de Almeida , Oliveira-Silva Iransé , Venâncio Patrícia Espíndola Mota , López-Bueno Rubén , Cosme Ayse Suzel Martins , Soares Viviane
Published: July 2024

Objective: To evaluate cardiovascular health (CVH) in university workers at a higher education institution in relation to other health-related factors. Methods: Cross-sectional study consisting of 121 workers. CVH was assessed by seven measures [food consumption, physical activity level (PAL), smoking, total cholesterol, blood glucose, systemic blood pressure (BP), and body mass index (BMI)]. The independent variables waist circumference (WC), waist-hip ratio (WHR), HDL-c, LDL-c, triglycerides, maximal oxygen consumption (VO2max), workload, and health related quality of life (HRQoL) were assessed. Results: Overall, 25% of the sample had poor CVH. The ideal CVH group had lower WC (p<0.001) and WHR (p<0.001), and higher VO2max (p=0.041). The physical component score was higher in the groups with intermediate (p=0.036) and ideal (p=0.002) CVH. Daily workload was higher in the poor CVH group (p=0.05). CVH score was directly related to VO2max (p=0.001) and physical component (p=0.020), and inversely related to WC (p<0.001), WHR (p<0.001), LDL-c (p<0.001), and triglycerides (p< 0.001). Conclusion: Implementation of educational practices, and promotion of physical activity, adequate dietary intake, and other lifestyle habits can help to improve CVH and the physical component of HRQoL.
Doença de Rosai-Dorfman mediastinal em paciente pediátrico
Authors: Raposo Thais Caroline Sales , Silva Rafaelle Taynah Soares da , Reis Pablo Marques , Soares Maria Carolina Coutinho Xavier , Souza Thiago Guimarães Mattos de , Lima Luiz Carlos de , Westphal Fernando Luiz , Lima Netto José Correa de
Published: July 2024

Objetivo: Relatar um caso clínico de um paciente jovem com diagnóstico de Doença de Rasai-Dorfman, uma patologia rara, com acometimento linfonodal incomum. Detalhamento de caso: Paciente, 15 anos, sexo masculino deu entrada no pronto socorro pela sala de emergência devido a astenia, dispneia aos médios e pequenos esforços associado a perda ponderal e dor torácica ventilatório dependente há aproximadamente 30 dias evoluindo intensificação dos sintomas, cianose de extremidades e escarros hemoptóicos. Após investigação clínica, o estudo imuno-histoquímico revelou padrão de Doença de Rasai-Dorfman. O paciente então seguiu para acompanhamento ambulatorial e decisão clínica quanto o tratamento. Considerações finais Também denominada de Histiocitose Sinusal com Linfadenopatia Maciça (SHML), a Doença de Rasai-Dorfman é rara e o plano terapêutico ainda é controverso. No caso relatado, observa-se o acometimento de cadeia linfática em mediastino, poupando a os linfonodos cervicais, algo incomum para essa doença rara. Destaca-se a importância do estudo multidisciplinar dessa patologia com o objetivo de proporcionar o diagnóstico precoce nos demais casos e incentivar pesquisas a respeito do tratamento oferecido.