bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application and Effectiveness Evaluation of Augmented Reality Technology in History Museum Exhibitions
Authors: Yang Shuguang 
Published: June 2024

Abstract
In the context of the rapid evolution of science and technology, the integration of reality technologies has become indispensable for the evolution of history museum exhibitions towards digitization, connectivity, and intelligence. This study details the development of a visual-inertial guidance system, leveraging both the Inertial Measurement Unit (IMU) and Simultaneous Localization and Mapping (SLAM) technologies. To construct a mixed reality tour guide system, the Scale Invariant Feature Transform (SIFT) feature extraction algorithm and tracking registration technology were employed to enhance the system’s exhibit recognition accuracy and tracking capabilities. Additionally, parallel processing techniques were implemented to accelerate the system’s performance, thereby improving operational efficiency while maintaining accuracy and maximizing the potential of augmented reality interactive functions within the history museum setting. The effectiveness of the system was empirically validated through participant evaluations across three dimensions: task completion, design recognition, and knowledge conveyance. Results indicate that all average scores exceeded 9, with 85% of participants acknowledging the enhanced convenience in knowledge acquisition provided by the technology. Furthermore, the coefficients for the guided tour abstract symbol verification were recorded at -0.007, 0.009, and 0.081, respectively. These findings corroborate that the deployment of an augmented reality interactive system and a mixed reality tour system can significantly expand the public service functions and historical-cultural education offerings of history museum exhibitions while also enriching the sensory experiences of attendees.
A Study of the Combination of Semantic Understanding Enhancement Methods and Deep Learning Techniques in English Translation
Authors: Zhou Gang 
Published: June 2024

Abstract
Semantic understanding enhancement methods and deep learning are popular areas of artificial intelligence research and have significant potential in natural language processing. The English translation is one of the typical application scenarios combining these two technologies. In order to thoroughly analyze the information contained in English texts and improve the accuracy of English text translation, this study proposes an unbalanced Bi-LSTM model. Firstly, the BERT model is used to vectorize the original English corpus and extract the preliminary semantic features. Then, the unbalanced Bi-LSTM network is used to increase the weight of the textual information containing important semantics to further improve the effect of the key features on the recognition of the English text and, at the same time, an attention mechanism that introduces the word vectors is used to widen the gap between the key textual information and the non-key information, so as to improve the effect of the English translation. The accuracy of English text translation can be significantly enhanced by comparing the classification effect with various models, as shown by the results. The accuracy of the model can reach over 90% in about 60 pieces of translation training, and the mean square average is only 1.52. Its translation effect has won the recognition of more than 50% of professionals. The model's ability to translate English is evident.
The New Ecology of Chinese Language and Literature in the Digital Age--Cultural Inheritance and Innovation
Authors: Chai Yu 
Published: June 2024

Abstract
Digital media is perpetually evolving, significantly impacting the Chinese language and literature. Concurrently, the rapid pace of modern lifestyles poses challenges to the transmission of cultural heritage within Chinese literary traditions. Accordingly, this study explores the pathways for digital innovation in Chinese literature, focusing on the integration of key virtual technologies to facilitate the cultural inheritance of the Chinese language. This research highlights the application of advanced virtual technologies in preserving and transmitting Chinese linguistic culture. It involves designing an experiential process for cultural inheritance, utilizing these technologies to process graphic and textual information pertinent to the Chinese language and literature. Furthermore, the study innovates cultural transmission methods through the synthesis of virtual 3D scenes and the implementation of human-computer interaction functionalities. An experimental evaluation approach was employed to assess the impact of virtual reality technology on the learning outcomes in Chinese literature and its cultural transmission. The findings indicate that users who interactively engage with the content in a virtual environment achieve a learning effect score that is 0.6528 points higher than those using traditional browsing methods. This underscores the enhanced efficacy of interactive experiences in facilitating the learning of Chinese literature. The regression analysis further demonstrates the significant promotional effects of the number of virtual experiences in Chinese literature (P1) and the rate of user interaction with computers (P2) on the dissemination of Chinese cultural content. The fixed and random effects for the number of virtual experiences are 0.9428 and 0.9784, respectively, while those for user interaction rates are 0.8945 and 0.8835. These results suggest a substantial impact on the broader dissemination and transmission of Chinese language literature, reinforcing the value of integrating virtual reality technologies in cultural education.
Strategies for Cultivating International Perspective in Ideological and Political Education of College Students Facing the Challenges of Globalization
Authors: Fan Chuqi , Xin Like 
Published: June 2024

Abstract
As the trend of globalization is further strengthened, ideological and political education in colleges and universities should put its vision into internationalization and examine the development of ideological and political education in Chinese colleges and universities nowadays with an international vision. This paper aims to use structural equation modeling to systematically interpret the realistic composition of ideological and political education’s internationalization. The existing problems and dilemmas are the potential variables of the model, which constitute the structural equation model for internationalizing the ideological and political education of college students under the challenge of globalization. Factor analysis is then used to reduce the dimensionality of the latent variables and find out the internal rules and internal structural relationships of the key factors influencing the internationalization of college students’ ideological and political education. The results show that the place of education and teaching (0.953), the controllability of the network environment (0.956), the learning culture and atmosphere (0.971), and the ideological and political education system (0.953) together construct the “disadvantageous” factors of the internationalization of college students’ ideological and political education. 23.882% of the total variance of the variables can be attributed to its characteristic root, which is 3.445. Therefore, to cope with the challenges of globalization, the international cultivation strategy of ideological and political education for college students should be based on the establishment of a core teaching place and the control of network education environment. Promoting the internationalization of college students’ ideological and political education in the context of globalization must be done in an orderly and effective way.
The Path of Intelligent Teaching Platform Construction for Ideological and Political Education in Colleges and Universities under the Background of Artificial Intelligence
Authors: Feng Xinhong 
Published: June 2024

Abstract
Enhancing the pedagogical model of ideological and political education represents a critical endeavor in contemporary educational institutions. With technological advancements, particularly in artificial intelligence, educational platforms encounter formidable challenges. This study proposes an advanced intelligent teaching platform tailored for ideological and political education at higher education institutions, constructed on the foundational principles of consistency, realism, human-centricity, purposefulness, operational feasibility, and systematic integration. This platform innovatively incorporates the Bidirectional Memory Enhancement Network (BMEN), which integrates an attention mechanism responsive to the unique memory and forgetting patterns of students. Consequently, a novel Knowledge Tracking Method Based on Bidirectional Memory Enhancement Attention (BMEAKT) is developed to precisely gauge students’ comprehension levels in ideological and political subjects. Empirical results indicate that this platform surpasses traditional baseline models in tracking knowledge, exhibiting General Area Under the Curve Metric (GAUCM) values between 0.6549 and 0.7234, thereby effectively assessing students’ mastery over the subject matter. A visual case study further validates the platform’s utility, demonstrating a 59.12% accuracy in predicting students’ correct responses to exercises. This research underscores a viable strategy for profoundly enhancing the instruction of ideological and political education in tertiary education settings.
Analysis of the effect of content innovation and public interaction in new governmental media
Authors: Gao Wei 
Published: June 2024

Abstract
With the arrival of the Internet era, the construction of digital government has been deepening, which promotes the continuous updating and development of governmental new media. This study explores the support role of government new media, explores the trust mechanism of government new media from the perspective of its credibility, and proposes a creation strategy based on the trust generation model. Considering the diverse needs of users, a governmental new media matrix platform has been established to increase the interactive effect with the public and to explore the communication innovation path of government new media. One of the manifestations of political new media content. The material splicing video and real clip are higher, the number of comments on the works is more than 2 million, and the traffic peak of public interaction is concentrated in the two stages of 12:00~18:00 and 18:00~24:00. The increase of 440,000 visitors and 3,260,000 fans under the new communication model shows that the actual operation of the government new media model in this paper has excellent performance and can effectively improve the operation of government new media. This study provides a feasible path to improve government credibility and the development of new media for government.
Development of a Novel Suspension System for Electric Vehicles Based on Mechanical Principles
Authors: Guo Junfei 
Published: June 2024

Abstract
The electric vehicle industry has witnessed significant growth in recent years, prompting heightened research interest in its various components. The suspension system, serving as a critical power-transmitting device between the frame and the axle, has garnered particular focus. This system is pivotal in meeting the dual performance objectives of ensuring driving smoothness and enhancing maneuvering stability. Accordingly, this study investigates the structural types of suspension systems and advances the design of a suspension guiding mechanism specifically tailored for electric vehicles. At the same time, the dynamic model of active suspension is constructed, and the algorithm for optimizing and establishing the active suspension system for electric vehicles is used. The simulation experiments on the suspension system, the control optimization method of the system in this paper’s car body spring loaded mass acceleration response, dynamic deflection ring, and the control input are stable between -0.4~0.5m/s², -0.005~0.01m and the suspension system’s between -0.7~0.6N, respectively. Moreover, the car body displacement and speed are gradually stabilized at about ±0 compared to the motion speed. In this paper, the suspension system can effectively solve the problem of automobile damping control and reduce the impact suffered by the body so as to improve the smoothness of the body in the process of driving and the operation of the stability of the new for the development and improvement of the suspension system in the electric vehicle industry to provide a reliable method.
Fibonacci sequences and the aesthetics of nature’s forms in modern design
Authors: He Huiyun , Wang Chang 
Published: June 2024

Abstract
This study conducts a comprehensive examination of the Fibonacci sequence’s mathematical model and its integration into contemporary design frameworks. It delineates the morphological aesthetic principles inherent in modern design, accentuating the visual aesthetic attributes governed by the Fibonacci sequence. The investigation further delves into color and contrast as principal aesthetic elements influenced by this sequence. The paper provides a brief analysis of the Fibonacci sequence’s impact on artistic and design practices across Eastern and Western cultures, introducing a concept of art and design communication. A least-squares measurement model is constructed to assess the impact of digital development and communicative elements on public receptivity towards design works that incorporate the Fibonacci sequence. Selected modern sofa designs based on the Fibonacci sequence serve as the focal point of this research, examining market reception and consumer preferences for the embedded mathematical aesthetics. The findings reveal a marked preference for monochromatic sofa upholstery in both Eastern and Western regions, underscoring a significant consistency. This preference suggests that the integration of Fibonacci-based mathematical aesthetics into modern product design is not only viable but also enhances the visual appeal and color coordination of the products.
Application of Big Data Technology in the Study of “UGS” Collaborative Training Mechanism for Musicology Majors in Colleges and Universities in the Context of Professional Accreditation
Authors: Li Chang 
Published: June 2024

Abstract
The traditional education model gradually reveals the corresponding problems and deficiencies in the face of the update of the concept of education frontier and the change of talent cultivation mode. In this paper, we first sorted out the relevant features of the big data and data mining process, mined out the specific needs and realistic development dilemmas of musicology professional certification, and explored the appropriate mechanisms and strategies of UGS collaborative education and training. Using big data Hadoop technology as the infrastructure, a platform for music discipline services is designed to support interoperability and sharing of music education resources among universities, governments, and primary and secondary schools. Specifically, semantic similarity calculation is performed with music resource domain ontology to improve the intelligent retrieval ability, and the recommendation method of user dynamic preference is introduced to provide more accurate music teaching resources for platform users. The effect of cultivating musicology majors in colleges and universities is analyzed in terms of emotional attitudes, knowledge, and skills through the collaborative cultivation mechanism. The accuracy of the semantic similarity intelligent search method based on domain ontology is above 50%, and the mean value of students’ satisfaction with the intelligently recommended music learning resources is 4.3 points. 83.42% of the teaching carried out based on the subject service platform indicated that it met their learning needs, and the overall performance of the students who carried out the platform teaching was 16 points higher than that of the traditional classes. By using big data technology, the UGS collaborative cultivation mechanism can be utilized as a tool to enhance the quality of talent cultivation for musicology majors.
Construction and Application of Adaptive Test Bases for College English Listening Comprehension Based on Natural Language Processing
Authors: Fang Jing , Zeng Wenli 
Published: June 2024

Abstract
The traditional English listening test system does not focus on analyzing students’ strengths and weaknesses, and designing a test bank with targeted exercises will be beneficial for students to grasp their actual situation. In this paper, after combining the twin network structure with the pre-trained language model, the Fusion-LM language matching model is constructed, which is utilized to calculate the matching similarity of students’ language features in the test. The adaptive grouping module and automatic scoring module are designed with constraints in mind and the adaptive test question bank for college English listening comprehension is established together. The validity test of the test question bank revealed that the test results of each module of the system meet the requirements, and the errors generated by automatic scoring are basically less than 2 points. The results of the teaching control experiment on whether to apply the test bank show that there is a significant difference between the post-test scores of the experimental and control classes of college English listening utterance comprehension (P=0.025<0.05) and the listening and pronunciation recognition abilities of the experimental class students have also improved significantly after the teaching. This paper lays a necessary foundation for the effective development of university English listening teaching activities and provides an effective method for improving students’ listening comprehension abilities.
Analysis of Low-Frequency Oscillations in the Bosnia and Herzegovina Power System
Authors: Dedović Maja Muftić , Avdaković Samir , Alihodžić Ajdin , Memić Adin 
Published: June 2024

Abstract
This paper presents a detailed model of low-frequency oscillations and their damping within the Electric Power System (EPS) of Bosnia and Herzegovina (B&H). The system is modeled using MATLAB software, analysing the steady state and dynamic responses. This research highlights the challenges and impacts of integrating renewable energy sources, such as wind farms, on grid stability and oscillation damping. The paper utilizes eigenvalue analysis to investigate the dynamic characteristics of the system, emphasizing the need for efficient damping strategies to maintain system stability. The methodology includes a comprehensive review of existing literature, the creation of a detailed EPS model of B&H, and the application of eigenvalue and oscillation amplitude analysis to determine damping ratios. The dynamic responses of hydro power plants, HPP Mostar and HPP Jablanica, to transient disturbances are analysed to validate the model and refine damping strategies. The results indicate that the B&H EPS is well-damped, with all eigenvalues possessing negative real parts, and demonstrate the system’s resilience to small disturbances. The results are compared with the technical report on the integration of the wind power plant WPP Podveležje. This comparative analysis shows consistent patterns between the modeled calculations and empirical data, confirming the robustness of the EPS model. This alignment underscores the effectiveness of current damping mechanisms and provides a foundational strategy for enhancing system stability with increasing renewable energy penetration. The findings highlight the importance of developing advanced control strategies to sustain system stability as the integration of variable renewable energy sources continues to grow.
Ensuring the right to adequate housing through interference on property rights: The case of Albania
Authors: Abdurrahmani Bledar 
Published: June 2024

Abstract
With the fall of the communist dictatorship, Albania, like all countries of South Eastern Europe, started a new path towards democracy and market economy. During Albania’s transition period, the goal was to reform the ownership system and establish private property rights through a legal process. This objective was based on the principles and values of the new democratic state. Legal reforms were implemented in land privatization, housing, and state asset privatization to achieve this goal.
Since the inception of democracy, numerous individuals have settled in urban areas of the country, occupying both public and private lands and constructing settlements without the authorization of public authorities. The rise and spread of this phenomenon infringed on the principle of the rule of law and the protection of private property. Since numerous informal buildings were constructed on privately owned land, the Albanian authorities faced a significant dilemma: Is the legalization of buildings built without permission which also infringes ownership rights justified? Therefore, is it permissible to infringe on private property rights in favor of individuals who have illegally constructed and own informal buildings? This paper aims to answer these questions through a thorough analysis of legal documents of international law and the ECHR case law.
Prospects for integration and Obstacles to democracy - EU’s role in the Albanian political crisis
Authors: Gjinko Juliana 
Published: June 2024

Abstract
More than three decades after the totalitarian regime collapse, Albania is still categorized as a hybrid democracy despite having made consistent strides toward becoming a liberal democracy. Most local political leaders have remained antagonistic towards liberal democratic principles. In 2019, relations between the European Union (EU) and Albania were at a special stage of development. After a difficult period and tensions in the EU, the European Council decided to postpone the decision to start membership talks with Albania and North Macedonia. Apart from this issue, Albania had other challenges in 2019, including institutional and political conflict, justice reform, the fight against corruption, and the consolidation of democratic structures. This article examines the intricate connections that Albanian political representatives and institutions maintain with foreign organizations and entities. It specifically highlights the role that the EU Delegation played in mediating the political and institutional crises of 2019. Although the external incentives models provide a useful foundation for understanding Albania’s Europeanization process, other factors that may be relevant and encourage the ongoing democratization and rule adoption are indicated by the country’s low membership credibility.