bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of a Residential Space Design Module Based on Virtual Reality (VR) Applications
Authors: Zhu Hua , Mansor Marzita
Published: April 2024

The adoption of virtual reality (VR) in architectural design is increasing, driven by its ability to create immersive simulated environments. This is particularly advantageous in residential space design, where understanding and evaluating solutions is critical. Although extensive research has focused on basic VR applications, few have explored VR modules tailored for residential design. Our study fills this gap by developing a VR module designed specifically for this purpose. We use a mixed-methods approach, blending quantitative analysis with qualitative feedback, to demonstrate how this VR module can improve design quality, efficiency, and user engagement.
Innovative Work Behavior and Job Performance of Corporate Employees in the Age of Artificial Intelligence
Authors: Chen Sidi , Zhang Xiao , Pan Ling , Hu Min
Published: April 2024

In the Artificial Intelligence era, organizations face unprecedented challenges and opportunities. The use of technology has not only changed the way work is done, but also had a significant impact on employee behavior patterns and performance. The innovative work behavior of employees greatly influences the sustainable development of enterprises. How AI affects explicitly employees’ innovative work behaviors and the mechanism of its impact on work performance is unclear. An in-depth analysis of this process is essential for optimizing the application of AI, promoting employees’ innovative behaviors, and improving job performance. The study of AI’s influence on employees’ innovative behavior and its effect on job performance was conducted using multiple regression and path analysis methods. It was discovered that the use of AI significantly impacts employees’ innovative behavior and work performance. In the paper, after controlling for factors such as gender, education, and enterprise size, the positive influence coefficient of AI on employees’ innovative behavior is 0.305 (p<0.01), and the positive influence coefficient on job performance is 0.520 (p<0.001). The relationship between artificial intelligence and employee innovative behavior is mediated by interpersonal trust. Artificial intelligence directly affects employees’ innovative work behavior, enhances their intrinsic and extrinsic motivation, and indirectly promotes work performance improvement. To encourage employee innovative behavior and improve work performance, enterprises should actively adopt AI technology while maintaining interpersonal trust.
Smart Energy Management Construction of Electric Power with Application of Bioelectricity Technology
Authors: Chen Yangbo , Wang Weirong , Guo Hao , Wang Zhongpeng , Li Jiawei
Published: April 2024

The search for sustainable energy solutions has become urgent against the current energy crisis and increasing environmental pollution. Biomass energy conversion and utilization technology, a clean and renewable energy source, constantly evolves, particularly in biomass power generation technology. This technology can effectively reduce greenhouse gas emissions and dependence on fossil fuels. Biomass conversion and utilization techniques include combustion, gasification, and biochemical methods that generate different energy forms, including heat, electricity, and fuel. Developing these technologies provides strong technical support for optimizing energy structures and protecting the environment. The article explores the application of biopower technology in intelligent energy management of electricity and improves its efficiency. The efficiency of biopower technology and its influencing factors were investigated using the Data Envelopment Analysis (DEA) model and Tobit regression analysis. A study was conducted on ten biopower energy companies. The energy management efficiency score of 1 was present in six of these companies, suggesting a relatively high operational efficiency level. Company C has a super-efficiency value of 2.654, indicating its outstanding energy management efficiency. Factors such as human resource input, total investment, and annual production costs significantly affect energy management efficiency. By optimizing resource allocation and improving management efficiency, biopower technology can be applied more effectively to intelligent energy management, thus promoting sustainable development.
A Study on the Multiple Dispute Resolution Mechanisms of Systemic Jurisprudence in the Context of Big Data
Authors: Ding Zhaozeng
Published: April 2024

The rise of complex social disputes in the digital age challenges traditional legal resolution methods. The SmartSettle platform emerges as a pioneering response, leveraging artificial intelligence to enhance the dispute resolution process. By integrating advanced algorithms, SmartSettle offers an efficient, fair, and user-friendly online environment for dispute resolution, marking a significant evolution in legal research and practice. This study examines SmartSettle’s effectiveness within the extensive data landscape, employing qualitative and quantitative methods to assess its seven core algorithms. In 2022, SmartSettle achieved a remarkable success rate of over 95% across 13,550 cases in M City. The platform guarantees equitable outcomes and high satisfaction levels among parties through its innovative minimum gain maximization algorithm. Consequently, SmartSettle effectively manages legal disputes in a big data context and sets a new trajectory for legal research and practice.
Research on Intelligent Design of Traditional Cultural and Creative Products Based on Digital Twin Network Modeling
Authors: Gao Pin , Zhang Yue , Mu Delan , Liu Mingying
Published: April 2024

This study investigates the integration of digital twin technology in the design of traditional cultural and creative products, addressing the challenges of innovation and efficiency in the cultural and creative industries. By employing digital twin network modeling, we develop an intelligent design method that digitally replicates and optimizes cultural products, enhancing design efficiency and innovation. Our approach involves digital modeling of traditional characteristics through preprocessing and feature extraction, followed by multi-scale design evolution experiments in a virtual environment. Results show a 30% improvement in design efficiency and increased product innovation and user satisfaction, demonstrating the method’s potential to revolutionize traditional product design while preserving cultural essence. This research contributes to the intelligent design of cultural and creative products and suggests new avenues for the cultural industry’s innovative growth.
A synergistic nurturing mechanism of party building and civic management education in colleges and universities combining synergistic modeling
Authors: Han Mingjiang
Published: April 2024

The Construction and practice of collaborative nurturing between party building and ideological and political management education in colleges and universities has been increasingly emphasized under the current field of higher education. Through an organic combination of party building activities and ideological and political education, this mechanism is committed to fostering high-quality talents with socialist core values. In the context of diversification and complexity of higher education, exploring an effective collaborative parenting mechanism is of great significance for improving college students’ ideological and political quality, moral cultivation and social responsibility. This study thoroughly analyzes the collaborative nurturing mechanism of party building and ideological and political education. It clarifies its components, operation mechanism and evaluation model, and provides theoretical support and practical guidance for ideological and political work. Using methods such as literature analysis, questionnaire survey and expert interviews, the study comprehensively analyzes the constituent elements, operation process and evaluation model of the collaborative nurturing mechanism of party building and ideological and political management education. The synergistic educating mechanism in the article improves the political awareness and moral cultivation of college students, in which the satisfaction of the management system is the highest (score 0.876), and the satisfaction of students is relatively low (score 0.518). The study also found that the implementation effect of collaborative parenting between party building and civic management education is closely related to its systematic, integrative, and dynamic adjustment ability. The strategic suggestions put forward in this paper to strengthen the mechanism construction, optimize the resource allocation and enhance the synergy efficiency have advanced to improve the quality and effect of collaborative parenting between Party building and Civic and Political management education in colleges and universities.
Exploration of high-quality development path of tourism and culture industry in the context of smart tourism
Authors: Hou Weigang
Published: April 2024

The emergence of intelligent tourism as a new trend in the travel industry has raised the bar for the excellent growth of the travel and cultural sectors. The merger of the artistic and tourist industries significantly advances tourism’s modernization and evolution. Finding a high-quality growth path for the tourist and culture industries within the context of intelligent tourism is a significant problem that must be overcome in order to achieve the two sectors’ in-depth integration and synergistic growth. A scientific assessment system and model analysis is necessary to uncover practical ways to support industry integration and upgrading based on the current industrial development status quo. A strong connection between this province’s cultural and tourism sectors is indicated by the coupling degrees generally higher than 0.85. Although the degree of coupling coordination has improved annually, many cities are still unable to achieve a higher level of coordination, according to an analysis. This study utilizes the degree of coupling coordination model as a basis for creating a coupling index for the culture and tourist industries and examining the growth situation of an area from 2015 to 2022. In a particular province, the median annual growth rates for the tourism and cultural sectors between 2015 and 2022 are 19.18% and 32.11%, respectively. This suggests that there is still more room for growth and integration between the two sectors in the context of intelligent tourism. The tourism industry is developing more slowly than the cultural industry. The research suggests ways to aid the integration and superior growth of the tourist and cultural sectors, including boosting infrastructure construction and enhancing employee knowledge.
An objective evaluation method of vocal singing effect based on artificial intelligence technology
Authors: Huang Danxia
Published: April 2024

The continuous progress of artificial intelligence technology has shown great potential for application in several fields, especially music. The research direction of Objective Evaluation of Vocal Singing Effectiveness uses advanced technologies to analyze and assess a singer’s performance across multiple dimensions, including pitch, rhythm, and timbre, and is highly valuable. Building an accurate and fair evaluation system faces many challenges, including how to accurately capture and analyze the subtle changes in the voice and synthesize the effects of different musical elements on the quality of the performance. This requires researchers to explore music theory, sound analysis techniques, and artificial intelligence algorithms, and develop a new methodology that can comprehensively evaluate the effectiveness of vocal singing. This paper constructs a complete set of vocal singing evaluation models by analyzing acoustic feature extraction, Hidden Markov Model, and Generalized Regression Radial Basis Function Network in detail. The study adopts a logarithmic Mel spectrum for acoustic feature extraction to effectively capture the essential attributes of the singing voice. Hidden Markov models and mixed Gaussian models are used to model the sound signal, improving phoneme recognition accuracy. Accurate singing effect was evaluated using a generalized regression radial basis function network. In this article, the accuracy of this evaluation method in terms of pitch, rhythm, and timbre reached 95%, 93%, and 89%, respectively, demonstrating high evaluation consistency and reliability. The research method provides a new objective evaluation tool for vocal singing effects, which is valuable for vocal teaching and self-practice.
Research on Industrial Economics Models in Rapid Development of Digital Economy
Authors: Ma Jing
Published: April 2024

Amidst the rapid evolution of the digital economy, this research positions fuzzy rough set theory at the forefront of industrial economic modeling, acknowledging its profound capability to manage uncertain information. This theory’s analytical precision facilitates a deep dive into the dynamics of industrial economic growth, enabling the refinement of industrial structures for sustainable development. Our empirical investigation into region A’s grain industry showcases a remarkable output growth of 272.88% from 2008 to 2018, with a model accuracy exceeding 95%. Analysis on cost inputs further demonstrates how innovation in science and technology plays a crucial role in cost reduction. By leveraging fuzzy rough set theory, this work contributes significantly to the strategic development of industrial economics, offering a robust methodology for data-driven analysis and forecasting in industrial sectors.
Construction and Algorithm Research of Online Learning Interaction Behavior Model Based on FBM
Authors: Wang Hui
Published: April 2024

The development of online learning environments has facilitated changes in educational interactions. This study focuses on an in-depth exploration of learners’ online interaction behaviors based on the theory of the Fogg Behavior Model, all in the context of accurately depicting and optimizing these interactions. Considering the complexity and richness of online education platform data, this paper proposes an improved analytical methodology to accurately model and predict learner behaviors, expecting to provide a scientific basis for the development of personalized teaching strategies and the enhancement of learning experience This methodology is based on the Fractional Brownian Motion and BAS algorithms to analyze the data of online learning platforms. The study collected data such as login, learning status, and course grades, and used the combination algorithm to optimize the Hurst index estimation and improve prediction accuracy. The number of view notifications is significantly correlated with the interactive learning behavior of resources at the 0.01 level, and the correlation coefficients are 0.297, 0.557 and 0.360. The algorithm accurately reflects learner behavior, provides optimization strategies for online learning platforms, and enhances learning efficiency and interaction quality.
Modeling the clearing of intra-provincial power market considering the equivalent value of power supply from outside Guangdong Province under the environment of Southern Regional Market (SRM)
Authors: Wang Haohao , Huang Yuanming , Luo Jinqing , Shu Kangan , Sun Qian , Chen Qing
Published: April 2024

Focusing on the complex market environment of Guangdong Province, this research pioneers a model for assimilating external power sources into the intra-provincial power market, a critical move to support the region’s high demand for electricity driven by robust economic activities. Our study innovatively tackles the province’s fluctuating power supply and demand by employing a novel power supply equivalence and co-modulation technique, enhancing system modeling efficiency and computational effectiveness. Comparative evaluations demonstrate that our approach significantly reduces the power market’s purchase costs by 15% while safeguarding power supply stability and security. The proposed model presents a breakthrough in optimizing Guangdong’s power market’s economic and reliability aspects, offering a promising pathway for future market clearing practices.
Research on microbial data modeling and disease prediction by fusion and integration of deep learning
Authors: Wang Zidong
Published: April 2024

The dynamics of microbial communities are closely related to human health. Deep learning techniques have shown great potential in bioinformatics by demonstrating powerful data analysis capabilities in areas such as microbial data modeling and disease Prediction since recent years. Our paper explores new approaches combining deep learning techniques with microbial data to generate more precise predictive models for early diagnosis and treatment. This study is dedicated to developing a method for modeling microbial data and predicting diseases that incorporates deep learning. Multiple deep learning models combine data from microbial communities to improve prediction accuracy through an integrated learning strategy. Experiments were conducted on two primary disease datasets: Inflammatory Bowel Disease (IBD) and Colorectal Cancer (Colorectal). This research method’s AUC values were 0.897 and 0.876, which is an improvement compared to traditional machine learning methods. A new perspective on the study of disease mechanisms was provided by identifying highly correlated microbial markers through feature selection analysis. This study can effectively enhance the use of microbial data in disease prediction by integrating deep learning models, which provides powerful technical support for future clinical diagnosis and treatment.
Exploring the Dynamical System Modeling and Evolutionary Mechanisms for the Integration of AI and Civic Education Management in Colleges and Universities
Authors: Zhang Yue
Published: April 2024

With the help of the dynamics model of the integration of AI and the management of college civic education, this paper investigates the integration of artificial intelligence and civic education in three directions: application specification, application design, and application practice. Using differential equations to represent the non-linear dynamics equations of the system and by means of differential solutions, the evolution mechanism of AI education application and integration is projected in this paper. The integration of AI and college civic education is explored through empirical analysis and comparative analysis. The results show that the average value of the comprehensive score of the three directions in the sample colleges and universities is 77.5828, which is in the bare integration stage, and the integration degree in the “formulation” path is the best, which is 85.698, and is in the complete integration stage. The students in the experimental class of the sample universities scored better than the control class without AI integration in civic education. There were no students with scores below 60, and there were 32 more students than the control class in the 90–100 segment.
Construction of Cybersecurity and Risk Prediction Model for New Energy Power Plants under Machine Learning Algorithm
Authors: Sun Xiaofu , Wang Shengda , Liu Danni , Wang Lihong , Lin Ziqing
Published: April 2024

Addressing the complex equipment and network challenges in new energy power plant industrial control systems, this study introduces a Markov time-varying machine learning algorithm, leveraging classification-constrained Boltzmann machines for real-time network security risk prediction. By employing a hybrid training mode for innovative feature extraction and classification, the algorithm forecasts future security risk states through an up-to-date state transition probability matrix. Integrating with the Markov time-varying model enhances the efficiency over traditional Boltzmann machines, facilitating nuanced network state analyses. The proposed model demonstrates high effectiveness against various network attacks, with average precision, recall, and F1 scores of 0.96, 0.93, and 0.94, respectively, and maintains over 80% accuracy under noise levels up to 40 dB. This research provides a solid foundation for proactive security defense mechanisms in industrial control systems.
A Study on the Construction of a Smart Music Education Classroom and the Utility of Music Teaching Reforms
Authors: Hou Bowen , Chen Bo , Liu Weiwei , Qiu Xiaolan
Published: April 2024

This study explores the integration of information technology tools, such as audio signal visualization, score recommendation algorithms based on difficulty features, and sight-singing assessment algorithms, into the development of an intelligent music classroom. It evaluates the impact of these technologies on teaching quality and efficiency, emphasizing their role in enhancing music sight-singing and classroom visualization. Findings reveal that innovative music education significantly improves teaching outcomes. While over half of the students responded positively to the creative teaching approaches, a segment found the material presented through music visualization challenging. However, introducing an intelligent music education classroom markedly benefits students’ musical learning.
Structural Analysis and spatial impact of financial agglomeration effects on regional economic development
Authors: Zhong Ming , Hong Qingyu , Yu Jingjing
Published: April 2024

This study examines the impact of financial and industrial agglomeration on regional economic development through a descriptive analysis. By establishing an evaluation index system for financial agglomeration effects and constructing a spatial measurement model, we empirically investigate the dynamics between financial accumulation and economic growth. Our Analysis of 37 Chinese cities reveals that Moran’s I, indicating the spatial correlation of economic growth, varies between 0.300 and 0.410, suggesting a strengthening spatial correlation over time. These findings highlight the significance of financial agglomeration in regional economic development and suggest avenues for economic structure optimization.
Construction of Social Resilience Assessment System after Floods in the New Era
Authors: Yin Junyi
Published: April 2024

This paper constructs an assessment framework through theoretical research and literature study, determines the assessment indicators using the systematic review method, and forms a final assessment system of social resilience after flooding based on the correlation test. On this basis, the index weights were determined using the comprehensive assignment method, and the social resilience index was calculated using multi-criteria optimization and compromise solutions methods. The spatiotemporal evolution trend and spatial correlation characteristics of post-flood social resilience were explored by combining mathematical statistical methods, geographic information technology, and spatial measurement models. The temporal evolution characteristics of different dimensions of social resilience during the period 2012–2021 show that the social resilience index declined steeply in 2012, reached a maximum value of 0.316 in 2018, then gradually decreased to 0.305 in 2020, and recovered to 0.312 in 2021, with an overall increase of 5.05%. Assessing the social resilience of 17 cities under the jurisdiction of Henan Province, overall, the ability of the social system to cope with heavy rainfall and flooding disasters in 10 cities showed an increasing trend, and 7 towns showed a decreasing trend.The social resilience of Zhengzhou City under heavy rainfall and flooding disasters in 2017–2021 showed a trend of decreasing and increasing, with a composite index fit of 0.885, 0.893, 0.806, 0.893, 0.806, 0.824, 0.861.This paper constructs a social resilience assessment system after flooding to provide some reference for central cities to cope with extreme weather.
Research on the Transformation of Digital Intelligence of Accounting Profession Based on Big Data Technology
Authors: Zheng Su
Published: April 2024

Teaching RPA technology to accounting students can be better adapted to the changing market demand. Therefore, this paper proposes the RPA financial automation process model generated by the data flow classification algorithm using integrated learning, which combines the development and application of RPA into the daily teaching of accounting students and combines the data analysis and application with practical scenarios. The questionnaire survey reflects the students’ comprehensive evaluation of the course’s teaching quality, application effect, satisfaction, and maturity of the RPA model. In the survey results on the stereoscopic satisfaction of the cultivation of professional knowledge, skills and vocational ability, the average score of each item exceeds 2 points, and the satisfaction of RPA technology is high. In the evaluation of application, the scores of curriculum dimension and teaching method dimension are 80.37 and 82.06 respectively, which are at a better level, and the score of accounting process dimension is 77.83, which brings a positive impact. The learning dimension achieved a score of 73.66, which is a satisfactory level. According to 95.6% of the students, RPA is advantageous for their profession and future work. 99.7% of the students are willing to recommend studying to other students. However, the final score of RPA’s maturity level is 71.6, which is still in progress, and it still needs to continuously promote the transformation of digital intelligence.
Analysis of English Classroom Interaction in Colleges and Universities Based on Student Behavioral Data
Authors: Wang Ruiping
Published: April 2024

With the advancement of the information age, the traditional teacher-led English classroom interaction in colleges and universities has made it challenging to meet the individualized needs of different students. Therefore, this paper takes the current classroom behavior data of college students as the basis, uses the K-means clustering algorithm and I-divergence measure to categorize, analyze, and study the student behavior data, and digs out the correlation between students’ classroom behavior data and teaching interaction. This paper takes all the teachers and students of English majors in college M as the research samples. It conducts experimental research in terms of teachers’ and students’ classroom speech rates, teachers’ and students’ questioning rates, and teachers’ and students’ use of instructional technology, etc. The 10 classes of English majors in college M do not have more than 50% of the students’ speech rate, except for class 2. Class 2 has the highest speech rate (61.64%) among students, while class 5 has the lowest rate (7.5%). From the point of view of active questioning rate, 10 classes had very low SQ ≤ 0.02, and even in classes 1, 3, 4, 5, and 6, there was a situation where students’ active questioning rate was zero. After analyzing the student behavior data in some classes, it was found that the mean score of English test students in the experimental group before and after the test increased by 4.687, corresponding to a significance Sig value of 0.000<0.05, which reaches the level of significance. The analysis of classroom behavior data reveals that enhancing the ratio of teacher-student interaction activities can improve students’ English scores.
Research on objective evaluation methods of labor education teaching for college students in higher education
Authors: Wang Xin , Zhou Wenjie
Published: April 2024

Labor education in colleges and universities in the new era is the fundamental task of implementing the principle of establishing morality and educating people, as well as an essential hand in cultivating college students with all-round development of morality, intelligence, physicality, aesthetics, and labor. This paper focuses on the objective evaluation method of college students’ labor education to conduct research. Using the improved binary tree support vector machine multi-class classification algorithm, an evaluation model for college labor education based on a binary tree support vector machine has been constructed, and an evaluation system for labor education has been developed. The results show that the majors that have compulsory labor education courses, elective labor education courses, and have added labor education modules in their major courses are all art and sports, accounting for more than 50% on average. The percentages of liberal arts, science, economics and management, art and sports, medicine and science, and agriculture, which did not offer labor education-related courses, were 26.35%, 22.16%, 19.91%, 13.59%, 11.03%, and 13.19%, respectively. It is evident that labor education courses are not distributed equally in colleges and universities, and there are still some majors that do not offer labor education courses. In terms of labor education, most of the labor education through Civics and Political Science classes is provided to students. Managers are those who choose the most specialized courses. Students also tend to participate in bicultural education and social practice activities, accounting for 29.02% and 43.01%, respectively. It shows that the algorithm in this paper can objectively and effectively evaluate labor education in colleges and universities and identify the deficiencies in education.
Research on Accounting Quality Management of Enterprises under Financial Sharing Mode
Authors: Yu Donggen , Jia Dongxiao
Published: April 2024

With the deep integration of the global economy and the continuous individuality of technology, the complexity of enterprise operation and management is increasing, which makes the traditional accounting and accounting methods difficult to meet the needs of modern enterprises. This paper proposes an enterprise accounting accounting method applying information computing technology, which applies association rules to generate frequent item sets of data for the accounting data under the financial sharing mode and obtains the optimal rules through pruning. Based on the time series prediction of the enterprise’s financial data, changes are made. Taking the actual enterprise case study, the association rules involved in accounting are more accurate, the calculation results are basically the same as the actual value, and the final cost accounting value is only nearly 2 million yuan different from the actual value, the accounting error is only 0.02%. Furthermore, the association rule algorithm has a significant impact on improving the efficiency of accounting work. The service time of counter personnel can be reduced by 30% after Bank P applies the management rules to accounting management. The average execution time of the initial ticket examination operation has been accelerated from 10.53 seconds to 5.42 seconds. The association rule algorithm can effectively improve the precision of enterprise accounting and the efficiency of accounting personnel, while also identifying existing problems in the current management system.
Development Status, Comparison and Inspiration of Integrated Circuit Virtual Simulation Teaching at Home and Abroad
Authors: Hu Peipei
Published: April 2024

The cultivation of higher vocational integrated circuit technology professionals requires a complete practical training teaching system and practical training conditions, especially integrated circuit layout design, production process, packaging and testing and other process personnel training needs to be completed in a real work scenario, the virtual simulation training is just for the integrated circuit professional education and teaching to provide support. This paper takes CNKI, SCI and EI databases as the research data source. It uses word frequency analysis and co-word analysis in statistical analysis to quantitatively analyze the development status of virtual simulation teaching of integrated circuits at home and abroad. And combined with the clustering analysis algorithm to explore the integration results of the keywords of integrated circuit virtual simulation teaching at home and overseas, and give the path to improve the high-quality development of integrated circuit virtual simulation teaching. It has been found that the domestic research related to IC virtual simulation teaching has improved by 80 times during 2000–2022, but the foreign research is 1.642 times higher than the domestic one. In addition, domestic and foreign countries are mainly focused on virtual simulation and innovative practice, respectively, and their word frequencies have reached 465 and 596 times respectively. Higher vocational colleges and universities need to optimize the teaching mode of industry-teaching integration, use virtual simulation technology to help students understand the knowledge related to integrated circuits, and provide technical support for improving the quality of talent training.
Virtual Reality (VR) Innovative Communication Strategies for Chinese Traditional Arts in the Digital Age
Authors: Zheng Rongling
Published: April 2024

Chinese traditional art has shown an inevitable decline in dissemination in the digital era. This paper utilizes virtual reality technology to enhance the experience of conventional art and LOD technology to manage the specifics of the virtual interactive scene. To display complex virtual terrain accurately, the data is reorganized with the help of a quadtree. The reconstructed art scene creates a virtual hand shape based on the structural characteristics of the human hand and the data glove. The kernel correlation filtering algorithm is utilized to construct the real-time tracking of the virtual hand. The research object in Chinese traditional art is the stele forest in practice. The results of virtual reality experience show the total score of interaction experience 88.159∊(80,100). The VR technology-based calligraphy experience in the stele forest received high user ratings, and the audience recognized the narrative experience. An in-depth study found that the subtitle grouping in the virtual interaction scene significantly affected the immersion of the art experience (P=0.019<0.05, F=4.562). Virtual reality technology provides a communication channel for digitizing traditional Chinese art, and the study contributes to the proposal of communication strategies.
An ecological music education model based on deep learning: a blend of tradition and innovation
Authors: Zheng Weixin
Published: April 2024

With the improvement of the status of music education, the reform of music education mode is imminent. The intersection of tradition and innovation is achieved by combining ecological education and deep learning concepts to construct an environmental music education model based on the traditional music education model. The research mainly focuses on intelligent music generation and its auxiliary effects in ecological music education. The steps are to complete the intelligent generation of multi-track music through the HL-MTMG model by combining the blended learning module and reward feedback module after defining the problems of music rhythm and melody problems. In analyzing the efficacy of ecological music education based on deep learning, it was concluded that the satisfaction rate of the generated music samples ranged from 66% to 72%, and the average score of students’ satisfaction with the classroom teaching of the ecological music teaching model based on deep learning ranged from 3.313 to 4.253. The environmental music education model through deep learning can significantly enhance the impact of music education and encourage students’ interest in music learning.
On a New Generalization of Pell Hybrid Numbers
Authors: Bród Dorota , Szynal-Liana Anetta , Włoch Iwona
Published: April 2024

In this paper, we define and study a new one-parameter generalization of the Pell hybrid numbers. Based on the definition of r-Pell numbers, we define the r-Pell hybrid numbers. We give their properties: character, Binet formula, summation formula, and generating function. Moreover, we present Catalan, Cassini, d’Ocagne, and Vajda type identities for the r-Pell hybrid numbers.
The Development of Standard Designs of Primary School Buildings in Lithuania During the 1920s and 1930s
Authors: Vilkončius Evaldas
Published: April 2024

This article analyses the development of standard designs of primary school buildings in Lithuania during the 1920s and 1930s. This process aimed to create simple and comfortable standard school buildings and provide them to the primary schools operating in the country. The article presents the development of standard designs that took place at that time, explaining the circumstances of their emergence, and comparing the main designs of such buildings developed at that time. To reveal this process as best as possible, the influence of the then Ministry of Education of Lithuania, local former Lithuanian county municipalities, and various architectural specialists in the standardisation of buildings for primary schools and the development of standard designs are presented and analysed. This aims to introduce the readers to the still little-known process that took place in the architecture of Lithuania during the 1920s and 1930s.
Romanian Art History During the 1950s as a Form of Social History of Art
Authors: Modreanu Roxana
Published: April 2024

The Romanian Workers’ Party – the political party that led Romania from 1947 until 1965 – need for legitimisation led to the rewriting of history in a way that the history of Romania was presented as a linear progression finally leading to communism. In art history, art also became a linear phenomenon, progressively advancing towards Socialist Realism.

The tactics of constructing the new narrative in art history during the 1950s and the beginning of the 1960s can be read as a form of the social history of art. Although the methodology could have led to remarkable results, ethical boundaries were violated: only some historical episodes and moments from artists’ biographies were selected.

Within this context, this study investigates whether papers and monographs about Romanian painters active in the second half of the 19th century and the beginning of the 20th century can be read as a form of social history of art.
Ukrainian Folk Games and Toys: Levels of Integration Into Modern Visual Culture
Authors: Skliarenko Nataliia , Shkliaieva Nataliia , Pylypiuk Larysa
Published: April 2024

The study deals with the possibilities of integrating the folk experience of creating Ukrainian games and toys into modern visual culture. An ethno-cultural pattern that synthesizes the artistic image, national form, natural materials, and game principles of interaction into an integral structure based on the analysis of folklore materials and artistic folk products from the territory of Western Polissia in Ukraine has been formed. The result of the study is the classification of Ukrainian folk toys and games of the population of Western Polissia organized as a holistic multifaceted visual and communicative system of interaction between folk games and toys. It has been proved that integration of ethno-cultural patterns into modern visual culture is carried out on three levels: subject, environmental, and socio-cultural. The study presents the theoretical basis for designing a modern visual and communicative environment for life, learning and rest, which is able to attract a child to the deep traditions of national culture in a natural way.

The outlined levels of integration are closely related with modern practices of eco-design, ethno-design, and art-therapy, which act as a strategic basis for the formation of modern visual culture and are aimed at the sustainable development of society.
Iconography as System. The Structural Principles of Representation in Visual Culture
Authors: Ibero Álvaro
Published: April 2024

This paper constitutes a reflexive and theoretical approach to the study of iconographies from a cultural perspective. Its aim is to depict iconographies as the structural order which makes images representative of the social frameworks from which they stem. By analysing the stable principles which participate in the production of such representativity in any given iconography, and by considering the cultural agents which socially regulate them and make images culturally specific, it is possible to understand the cultural mechanisms by which the social construction of reality is projected onto images. Consequently, this approach favours a conceptualisation of iconographies as cultural systems through which the identity of social frameworks is conveyed thanks to the use of images.
Compensation for Establishing Transmission Line Easement: Parts of Land Affected and Persons Involved
Authors: Bogdan Benon , Barańska Anna
Published: April 2024

The identification of the scope of the limited property law (that is transmission easement), as well as the taking of appropriate actions, has become difficult. The far from sufficient implementation of rules has led to numerous disputes, the resolution of which has been sought in court. Very generalized legal bases, interpretation of regulations and the acceptance of the rulings of common courts have made the development of operating procedures possible and have determined the persons participating in performing work related to transmission easement.

The specifics and the multidimensionality of the subject requires cooperation from several experts. The methodological bases are limited, and the regulations unclear. The goal of the research is the standardization of designations of component parts and activities associated with transmission easement. The entire process is made easier by a set procedure proposed in the form of an outline. This study draws attention to individual activities and the order in which they are performed. This allows individual specialists to carry out the next stages of work, which in turn leads to sanctioning the rights of the grantee, while determining fair and satisfactory compensation for the grantor.
The Impact of the Flight to Quality on Office Rents and Vacancy Rates in Tokyo
Authors: Matsuo Kazushi , Tsutsumi Morito , Imazeki Toyokazu , Kudoh Takeshi
Published: April 2024

With the rapid spread of telecommuting since the COVID-19 pandemic, companies have been relocating to high-end business centers, thereby enhancing the workplace experience for employees, a phenomenon called the "flight to quality." However, this trend’s impact on rents and vacancy rates in individual office buildings has not been extensively studied. To determine the effects of the flight-to-quality phenomenon on individual buildings, we examine the impact of modern amenities, which directly influence employee lifestyles, on rents and vacancy rates in the Tokyo office market. Using a propensity score-based quasi-experimental method, we find that commercial properties with such modern amenities command higher rents and experience lower vacancy rates than those without. The difference in vacancy rates has increased since 2020. However, the significance of these amenities diminishes for properties less competitive in age, size, and location. The results indicate that the "flight to quality" may further polarize the office real estate market into two categories: one for high-end buildings experiencing increasing demand, and another for those with modest amenities experiencing decreasing demand. The findings have implications for office building owners/investors and the government, make educated decisions as to whether to invest in modern amenities, join the quality competition, or encourage urban restructuring.
Safe extraction of an impacted open safety pin from the esophagus: A case report
Authors: Zabin AlJoharah , Sulaiman Ibrahim , Alshoshan Abdulrahman , Alrashidi Essa , Alotaibi Joharah
Published: April 2024

Background:
Children commonly experience a tendency to ingest foreign bodies. Open safety pins in the esophagus are quite uncommon, nevertheless. Peak rates of such ingestion range between 6 and 12 months.
Case Presentation:
A 9-month-old girl was admitted to the ED with a history of having swallowed a safety pin attached to her underwear 3 hours earlier, as witnessed by her mother. There were no symptoms present at the time of the assessment. Her blood tests and vital signs were both in the usual range. Plain radiographs of the neck, chest, and abdomen showed an open safety pin (SP) impinged in the upper third of the esophagus pointing upwards. While the infant was being intubated under general anesthesia, esophagoscopy was completed with a rigid pediatric esophagoscope. By grasping the SP by its tail end, a pair of crocodile forceps were used to reverse and straighten the pin in the esophagus such that its open end was pointed caudally. During surgery, a nasogastric tube was inserted. Ampicillin and neomycin were given intravenously for six days. On the fourth postoperative day observed the removal of the nasogastric tube. On the seventh postoperative day, the girl was allowed to go home. Recovery went without incident.
Conclusion:
For the removal of open safety pins, simple extraction methods, rigid and flexible endoscopies with the proper forceps, as well as surgery, can be used. Parents should also receive advice regarding the presence of safety pins around their children.
Emergency physician cost awareness of common orders in emergency department and awareness impact on medical decisions in Saudi Arabia
Authors: Almarshed Abdullah , Alrakaf Feras , Alnatheer Abdullah , Alwaladali Mohammed , Almazyed Anas , Alsuwayeh Abdullah
Published: April 2024

Background: With growing emergency department visits, there has been a growth in national health expenditure. This situation is exacerbated by physicians ordering ineffective investigations and procedures. This study aimed to assess the emergency physician's awareness of the cost of diagnostic tests and interventions, and how awareness of costs may impact their medical decision.
Methods: This cross-sectional study was conducted among emergency physicians in Saudi Arabia. The data were collected via a self-administered questionnaire disseminated through emails to all physicians.
Results: A total of 233 physicians participated, the majority of whom were males (73%) and aged 24-34 years old (70.8%). Of the included physicians, 41.2% were junior residents, and three-quarters (75.5%) of the respondents had never worked in private hospitals. Two-thirds of respondents agreed/strongly agreed that knowing financial cost would affect their clinical practice. Physicians tended to overestimate the cost of drugs while underestimating the cost of diagnostics and laboratory tests. The percentage of correct estimates was higher for diagnostics and laboratory (
Advancements in Infertility Treatment: The Convergence of Stem Cell and Exosomal Therapeutics
Authors:   Marmara University, Akkoc Tunc
Published: April 2024

Infertility, a common condition characterized by a couple's inability to conceive after one year of unprotected intercourse. It explores the various factors contributing to infertility, such as genetic variations, lifestyle choices, and environmental factors, and their substantial influence on reproductive health.
Minimally Invasive Management of Uterine Fibroids - Role of Transvaginal Radiofrequency Ablation
Authors:   Azienda Sanitaria Toscana Centro, Louise Andersson Karin
Published: April 2024

Minimally invasive approaches in management of common gynecological pathologies such as uterine fibroids are of outmost importance to offer fertility preservation and cost-effective solutions. Transvaginal radiofrequency ablation in day surgery setting offers an efficient volume reduction solution with improvement of fibroid related symptoms in patients undergoing accurate pre-operative selection.
Mitochondria-Endoplasmic Reticulum Cross Talk in Premature Ovarian Insufficiency
Authors:   AIIMS, Sharma Mona
Published: April 2024

Ovarian function is integral to women’s reproductive health. Mitochondria, recognized as the cellular powerhouses, are pivotal in sustaining cellular activities by generating ATP and regulating various processes such as cell division, redox reactions and apoptosis.