bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on optimal allocation scheme of power system energy storage under large-scale new energy access
Authors: Wang Tianlin , Xu Liang , Hu Shizhao , Dong Jiadu , Jiang Haoxia 
Published: May 2024

Abstract
Renewable distributed power sources such as wind power and photovoltaic power generation are connected to the power grid, which will bring problems such as increased network loss and reduced power quality. In this paper, a two-layer optimization model for energy storage systems is proposed under large-scale new energy access, and the coupling effects of energy storage planning and operation are considered comprehensively. In the upper layer model, energy storage planning is considered, with the location and capacity of energy storage configuration being the decision variables and the planning cost of the energy storage system being the objective function. The lower layer considers the economy and stability of the grid when the energy storage system is operating, with the output of the energy storage system at each moment as the decision variable and the grid vulnerability, active network loss, and power purchase cost as the objective function. The improved IEEE33 node system has been selected for simulation verification. The results show that the proposed model calculates the optimal capacity configurations of wind power combined energy storage as 0.919 and 0.820 MWh, respectively, and the model can obtain a reasonable energy storage configuration scheme and, in comparing the economic indicators under different scenarios, can obtain the dual storage configuration as the best scheme for the simulation system.
Construction of an intelligent optimization model for water resource allocation under drought conditions
Authors: Fu Jian , Yang Yongchong 
Published: May 2024

Abstract
In this paper, we first establish the model of optimal allocation of water resources within the region and convert it into a dynamic planning problem. Then, under drought conditions, the models of optimal allocation of intra-regional water resources among industries and different crops are established, respectively, and the water production function model is established using sensitivity coefficients. Under the condition of satisfying the water quantity opportunity constraints and with the objective of ensuring obtaining a higher system return, the water resources optimal allocation model based on interval multi-stage stochastic opportunity constraint planning is established by combining multi-stage planning, interval planning and stochastic opportunity constraint planning. A hybrid intelligent algorithm combining stochastic simulation, multilayer neural networks, and genetic algorithms is used to solve the model. A case study of optimal water resource allocation is used to verify the feasibility and validity of the proposed model and algorithm. Under the traditional water resource allocation scheme, the total water supply and water shortage of Nandan County are 0.97 and 0.58 billion m3, and the water shortage rate is 37.55%. Under the optimized water resources allocation scheme of this paper, the water shortage of Nandan County is 0.05 billion m³, and the water shortage rate is 6.09%. The model of this paper’s allocation scheme can effectively meet the water demand.
Semiotic Interpretation of Literary Metaphors in Henry James’ Psychological Fiction under the Semantic Association Network Modeling
Authors: Huang Li 
Published: May 2024

Abstract
Henry James enriched the representation of realism with the aesthetic practice of psychological realism theory, and his literary metaphors revealed the colorfulness of the human consciousness field. In this paper, under the background of semiotics, based on two algorithms, Semantic Association Network, Associative Component Analysis, and Dependent Syntax, we constructed a tensor representation model of literary text, extracted the symbolic information of sentences in the scholarly text, and combined the information of textual words through the association coefficients for the tensor representation of sentence metaphors. Quantitatively calculating the metaphoric semantics in the extracted literary sentences is followed by labeling and recognition of the literary sentences based on the metaphoric information. Take Henry James’, the Aristocats as an example and interpret the symbolic information in it using the model constructed in this paper. The symbolic scene of the “garden” in the novel represents the meaning of innocence and simplicity, which has the highest conceptual similarity enhancement of 3.415. Most of the emotions behind the readers’ evaluations of Henry James’s novels have positive metaphors, and the favorable rating range is mainly concentrated in the range of 0-100. In Henry James’s novels, the emotional metaphor of “repression” is more characteristic than other metaphors, with a maximum of 1.896. This paper investigates the interpretation of metaphors in Henry James’s novels, which can assist in the comprehension of the books.
Research on Knowledge Service Mechanism in Social Reading Platform Based on Social Network Recommendation Algorithm
Authors: Ji Dawei 
Published: May 2024

Abstract
Combining the user model and similarity calculation, a personalized recommendation method based on the user preference model is proposed, and the user model is adjusted to update the overall framework of personalized recommendation of user reading preference in response to the user’s operational behaviors such as collecting, commenting, reading, and annotating. We analyze and organize the knowledge service interface structure of the social reading platform and the knowledge service mechanism model based on users’ cognitive, emotional, and social needs and clarify the whole process of satisfying users’ reading needs. According to the age, occupation, and regional characteristics of the users of the social reading platform, as well as the reading interest labels of the users, we explore the influence of different user behaviors on the personalized recommendation results of the social reading platform and the recommendation website, and the more the optimal value of the parameter tends to be 1, the greater the influence of the social reading platform on the recommendation results. The satisfaction index of the social reading platform is 68.50807. The current social reading is not good enough to meet the needs of users. It should be optimized for reading behavior, reading skills, reading knowledge, and reading environment for knowledge service recommendation, respectively.
A Study of Teaching Strategies Optimized with the Integration of Artificial Intelligence Technologies
Authors: Cong Shan 
Published: May 2024

Abstract
The integration of artificial intelligence and education is a general trend, and it has become necessary to utilize artificial intelligence for teaching. This study takes the application of artificial intelligence technology in teaching strategy as the starting point, constructs an intelligent classroom model for recognizing students’ faces and emotions, and better understands their learning state. The method first carries out emotion recognition based on a support vector machine, then realizes the fusion of the decision layer through a posteriori probability, completes the construction of a multimodal emotion recognition model, and finally applies the PAD scale to quantify the emotion and analyze the emotion and state of the sample students in various stages of the classroom. The artificial intelligence teaching strategy that integrates multimodal emotion recognition is constructed and its application effectiveness is examined. More than 60% of the students were in a calm state in the 10 minutes before and after the class, and 78% of the students were in a positive learning mood in the 25 minutes of the class, so the multimodal emotion recognition model has a good effect of recognizing students’ emotions. After the teaching practice is carried out, the student’s performance in the experimental class is 12.29% higher than that in the control class. The learning stability is better, reflecting the superiority of the teaching strategy in this paper. This study can provide a reference for the teaching of the classroom of the future integration of artificial intelligence technology.
Research on the construction of digital village evaluation model based on AHP-entropy TOPSIS method
Authors: Zhai Yuqin 
Published: May 2024

Abstract
The swift advancement of cutting-edge information technology is reshaping the global economic landscape and industrial structures. Emerging from this backdrop, the concept of digital village construction has surfaced as a strategic cornerstone and a priority in the drive for rural revitalization. This study uses Nanjing City as a case study to develop an evaluation system for digital village construction. It incorporates five key dimensions: information infrastructure, digital economy, intelligent green village, digital governance, and digital lifestyle. By applying the Analytical Hierarchy Process (AHP) and entropy value method for weight assignment, this paper constructs a TOPSIS comprehensive evaluation model to analyze the progress in digital village development over recent years. The results of the study show that the use of a comprehensive assignment method to calculate the weight of the indicators results in the use of hierarchical analysis of the value of the indicator weight interval of [0.0118, 0.1166], entropy weight method derived from the weight of the indicators of the interval of [0.0308, 0.0875], the combination of the weight of the interval of [0.0292, 0.0944], the combination of the weight of the more scientific and reasonable. The comprehensive evaluation score of the digital village construction level in the sample city shows a gradual increase from 2019 to 2023, and the comprehensive evaluation scores of digital village construction in 2021 and 2022 are 0.475 and 0.745. This study shows that with the development of rural revitalization strategies, the level of digital village construction tends to increase.
Analysis of Executive Compensation Management Strategies of Multinational Enterprises in the Context of RMB Internationalization
Authors: Chen Mei 
Published: May 2024

Abstract
This paper applies the EVA-based bonus incentive model and the EVA-based stock option incentive model to the executive compensation incentive system of multinational enterprise D and calculates the EVA amount by combining the profitability of multinational enterprise D and compares it with the net profit amount of the enterprise to obtain the difference between the two. In order to further investigate the relationship between the EVA amount and the net profit of multinational enterprises, the correlation hypothesis between executive compensation and the management of accrued surplus and the management of actual surplus is carried out, respectively. The countermeasures for the management of executive compensation in multinational enterprises under the background of the internationalization of the RMB are proposed according to the establishment of the research hypothesis. Executive compensation and accrued surplus management are negatively correlated, as shown by regression analysis, and an increase in the former will have a significant inhibitory impact on accrued surplus management behavior. There is a positive correlation between executive compensation and natural surplus management, and the significance level is 5%. This means that the increase in executive compensation has a promotion effect on natural surplus management.
Relational Analysis of College English Vocabulary - A Reflection Based on Semantic Association Network Modeling
Authors: Dai Bojun 
Published: May 2024

Abstract
Vocabulary is an essential and crucial part of college English learning. However, the lack of knowledge about the intrinsic connection between words has become a significant obstacle to vocabulary learning and teaching. In this study, we use a semantic association network to construct a relationship model between English words and introduce a tree kernel function into the syntactic analyzer to extract relationships between English words. The dictionary-based lexical semantic similarity calculation method is combined with a corpus-based English lexical semantic similarity calculation method for the extracted relations. Furthermore, the study creates datasets that relate to English vocabulary for simulation experiments. The results show that the more common sense phenomena there are, the higher the correlation value is. Furthermore, the similarity of university English vocabulary has a high degree of correlation with the type of specialized elements. The overall performance of the lexicon is ranked as synonym forest (0.431ρ/0.479r) > HowNet (0.249ρ/0.341r) > English WordNet (−0.051ρ/−0.003r), and the synonym forest method has the best performance, with the highest accuracy of 85.57% in classifying different lexical relations. The study offers valuable references and lessons for related research in natural language processing.
Supply Side Reform of Tourism in Ethnic Areas Empowers Common Wealth--The Perspective of Tourism Talent Resources
Authors: Zhou Wenzhe 
Published: May 2024

Abstract
This paper conducts a comprehensive analysis of the types of tourism resources in ethnic regions and develops a framework for tourism supply-side reform in these areas, emphasizing the role of tourism talent resources. Utilizing the BCC and Malmquist models of Data Envelopment Analysis (DEA), this study measures the technical efficiency, pure technical efficiency, scale efficiency, and total factor productivity of selected ethnic regions from 2006 to 2015. Employing panel data, the study examines the current status and trends of human resources and tourism economic growth, using regression analysis and the Granger causality test to investigate their relationship. The findings reveal a strong correlation coefficient of 0.93 between the number of tourism employees and tourism economic growth in Ethnic Group A over the study period. The regression significance level is 0.000, indicating a probability less than 0.05, which confirms a positive correlation between the level of tourism human resources and regional tourism supply-side reforms that enhance collective wealth. This research contributes a novel perspective to the discourse on high-quality tourism development and regional economic growth.
Research on the design of virtual experience of shadow play based on digital technology and immersive interactive design theory
Authors: Li Enze , Xie Xiaowan 
Published: May 2024

Abstract
With the industrialization and urbanization of modern society as well as the diversified development of entertainment forms, the inheritance of shadow puppetry as a folk art is facing great challenges. Based on this, this paper uses modern digital technology to help traditional shadow play quickly realize digital transformation and adapt to the current era. The YOLOv5 model is used to recognize the body movements of a person manipulating shadow puppets in virtual space, monitor the interaction status between the person and the virtual shadow puppet characters in virtual space, and at the same time, use the loss function to calculate and categorize the data loss in the recognition process. In order to avoid the data loss caused by the action moving too fast or the light, this paper introduces the Kalman filter algorithm to recover the lost and incoherent actions. It thus constructs the interaction recognition model based on the Kalman filter to improve YOLO. After conducting experiments in this paper, it was found that the model built in this paper has an accuracy of 94% in recognition of unobstructed actions, and it takes 1.31 seconds to recognize them. For occluded actions, the recognition accuracy rate is 86%. Overall, the recognition interaction model constructed in this paper maintains a recognition accuracy rate of more than 85% for actions. In the experiment on processing virtual shadow play characters, the average generation time of the virtual models of any shadow play character is no more than 0.5 seconds. The model constructed in this paper has a superior performance in action recognition and virtual shadow play character processing.
Application of Internet of Things technology in teaching management system optimization
Authors: Wang Zebin , Xu Gang , Wang Yunge 
Published: May 2024

Abstract
With the progress of science and technology and the in-depth development of the Internet, the technology of the Internet of Things has gradually penetrated every corner of our lives. The Internet of Things greatly improves the efficiency of data acquisition and processing through the interconnection and exchange of information between devices. The development of information and intelligence in physical education teaching management has received a lot of attention as an important component of the education field. The grey relational Internet of Things model is used in this article to optimize the application of sports management. On this basis, this article conducts a systematic testing and analysis of physical education teaching. By verifying and analyzing the effectiveness and correctness of the model, real-time data during the teaching process was obtained, such as student movement trajectories, exercise intensity, etc. Providing data support for optimizing the teaching process.
An investigation on the application of exercise biomechanics in competitive wushu routine training
Authors: Guo Xikui , Choosakul Chairat , Wu Runping 
Published: May 2024

Abstract
Combining the athletes’ wushu jumping action data from the perspective of sports biomechanics, forming a finite element model based on finite element analysis of the landing speed of wushu jumping action on the landing stability correction finite element model, solving the different heights, can not be difficult to land the PvGRF of the wushu action, the use of kinematics sensitive indexes to diagnose the difficulty of competitive wushu sets of action. Measure the movement data of wushu athletes’ spinning foot 720° catching horse stance movement, and analyze the swing changes and rotational angular velocities of various body segments in the assisted jumping phase and the aerial movement phase. A core stability training method was proposed and tested during a 12-week training period, and an index test of balance was conducted. The results of the balance index test of the wushu athletes showed that after the core stability training, the static right foot standing index was 179.55±196.35, which formed a significant difference with the pre-training period, P<0.05. The combination of core stability and sports biomechanics can improve the completion of difficult movements in the movement training of competitive wushu athletes.
Methodological Innovation Path of Ideological and Political Education Content in Colleges and Universities in the Age of Artificial Intelligence
Authors: Zhang Xinbing , Qin Beichen 
Published: May 2024

Abstract
Under the background of the continuous development of modern curriculum as well as the continuous innovation of educational methods, the content and methods of ideological and political education in colleges and universities are also continuously innovated. This paper extracts the features of massive Civic and political knowledge points and combines them with active learning methods to construct the relationship between the prerequisites of Civic and political knowledge points, and then introduces the cognitive diagnostic model to design the cognitive diagnostic model based on the requirements of Civic and political knowledge points. Accurate and rich auxiliary information, such as students’ mental state, is provided for Civics teaching, and a Civics education model is designed based on this model. Finally, the teaching model is applied to actual teaching to verify its effectiveness. The results show that after completing the teaching practice, the students in the experimental class scored in “political identity,” “professionalism,” “public participation,” and “sound personality.” Sound personality” are all above 22. Compared with the control class, there are significant differences in all dimensions except “sound personality” (P<0.05). A cognitive diagnosis-based civic education model can significantly improve students’ level of civic education.
Research on Dental Chairside Scanning and Diagnostic System Based on Artificial Intelligence and Deep Learning
Authors: Bai Junling , Ma Hongchao , Shao Yuanxia , Shang Juan 
Published: May 2024

Abstract
The scanning technology and diagnosis and treatment system of dental chairs play a better auxiliary role in the level of oral diagnosis and treatment as well as the doctor’s therapeutic effect. In this paper, we design an oral chairside scanning and diagnosis and treatment system, which includes two modules for scanning, acquiring, and managing oral image information. Taking CBCT as the main technology, the steps of image reconstruction, generation, estimation of tooth main axis, and reconstruction of independent tooth contour are carried out sequentially to obtain the three-dimensional network model of teeth. Through the dental clinic information management system, the case base is effectively managed to enhance operational efficiency. The system presented in this paper is tested and applied to analyze its effects during usage. The results show that the maximum difference between the measurement of this system and the manual measurement is not more than 1mm. The mean values of the errors of the system designed in this paper in the angular error and apical error are 3.547±1.556mm and 1.154±0.265mm, respectively. The P-value is less than or equal to 0.05, which is significant, and the system performs very well in these two aspects.
Focus on musculoskeletal health in women with bleeding disorders
Authors: Dougall Alison , Frenzel Laurent 
Published: May 2024

Abstract
Maintaining good musculoskeletal health, including good oral health, is as important for women with bleeding disorders (WBD) as it is for men. Many people with bleeding disorders ignore bleeding from their gums, believing it to be part of their condition. However, it may be a sign of periodontal disease, which left untreated can lead to accelerated tooth loss and infection, adversely affecting overall health. A good diet and access to good dental care from childhood are important to maintaining good oral health in WBD. Joint bleeding and degeneration are not limited to people with more severe forms of haemophilia; joint-related diagnoses have been shown to be twice as common among haemophilia carriers and women with mild haemophilia than in the general population. Women with type 3 von Willebrand disease experience comparable joint outcomes to younger intensively treated patients with severe haemophilia. Neither gum nor joint bleeds should ever be considered normal, as both can be treated to avoid progressive disease. Dental and joint specialists and physiotherapists should work closely with haemophilia teams to ensure optimal care for long-term preservation of musculoskeletal health.