bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pembangunan Sistem Informasi Akademik Berbasis Website (Studi Kasus: Sekolah Menengah Pertama Negeri 8 Balikpapan)
Authors: Sukaca Ewaldo Jeremi , Irya Wisnubhadra  , Patricia Ardanari  
Published: December 2024

In the digitalization era, technological advancements have transformed societal behavior, including in the education sector. The use of website-based technology for academic information systems is crucial to provide real-time access to academic information for students, teachers, and parents. This research aims to design and implement a website-based academic information system at SMPN 8 Balikpapan. The system is designed to help teachers manage student grades and attendance while enabling parents to monitor their children's academic progress. The research methodology includes needs analysis, system design, implementation, and testing. The results indicate that the website-based academic information system was successfully implemented according to the requirements. This system improves transparency, efficiency, and accessibility of academic information for users. Academic data can be accessed in realtime by teachers, students, and parents, allowing for better and more integrated management.

Di era digitalisasi, perkembangan teknologi telah mengubah perilaku masyarakat, termasuk dalam dunia pendidikan. Penggunaan teknologi berbasis web dalam sistem informasi akademik sangat diperlukan untuk memudahkan akses informasi akademik secara real-time oleh siswa, guru, dan orang tua. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem informasi akademik berbasis web di SMPN 8 Balikpapan. Sistem ini dirancang untuk membantu guru dalam mengelola nilai dan presensi siswa, serta memudahkan orang tua dalam memantau perkembangan akademik anak-anak mereka. Metode penelitian meliputi analisis kebutuhan, perancangan, implementasi, dan pengujian sistem. Hasil dari penelitian ini menunjukkan bahwa sistem informasi akademik berbasis web berhasil diimplementasikan sesuai kebutuhan. Sistem ini meningkatkan transparansi, efisiensi, dan aksesibilitas informasi akademik bagi para pengguna. Informasi akademik dapat diakses secara real-time oleh guru, siswa, dan orang tua, sehingga memungkinkan manajemen yang lebih baik dan terintegrasi.
Потенціал територіальних громад Закарпаття: емпіричний аналіз ефективності використання
Authors: Гапак Наталія , Бойко Ярослав 
Published: December 2024

Здійснено оцінку потенціалу територіальних громад Закарпаття на основі аналізу результатів, проведених у рамках дослідження соціологічних інтерв’ю та анкетування з головами територіальних громад, за результатами якої до найпріоритетніших видів потенціалу громад віднесено природний, інвестиційний, підприємницький, інфраструктурний. Науково-інтелектуальний та інноваційний (залежать від наявності та розвитку інновацій, науки, тобто економіки знань), а також природний потенціал ТГ використовуються громадами найменш ефективно. Встановлено, що найважливішими в плані розвитку потенціалу громад є фінансовий, виробничий та інфраструктурний чинники.
Research on Online English Teaching Resource Allocation Strategy Based on Optimization Algorithm
Authors: Zhang Buyi 
Published: December 2024

Abstract
With the arrival of the era of education informatization, online learning has become one of the research hotspots. Aiming at one of the important links, learning resource allocation, this paper designs an online system for distributing English teaching resources. Based on the maximum distance optimization K-means clustering algorithm, a hybrid collaborative filtering personalized recommendation algorithm based on users and items is used to optimize the similarity algorithm, and the online English teaching resources allocation strategy is proposed. A variety of teaching resource recommendation quality experiments are set up and combined with teaching practice applications to explore the model’s resource allocation quality and its enhancement effect on English teaching. The model in this paper has higher recommendation accuracy and recommendation quality of English teaching resources, and the comprehensive evaluation index value F is lower than that of the comparison model by 0.18 and 0.07. At the same time, the online English teaching resources allocation strategy has a better effect on improving learning attitudes, with more than 72% of positive evaluations in each dimension of satisfaction. The experiment shows that the online English teaching resource allocation strategy has a positive effect on students’ English learning efficiency and motivation.
Vector Space Modeling of Classical Chinese Dance Movements Based on Motion Capture Technology
Authors: Liu Miaogu 
Published: December 2024

Abstract
The development of motion capture technology provides the possibility of in-depth analysis of Chinese classical dance movements. In order to facilitate the measurement and calculation of classical dance movement data, this paper is divided into different human detection nodes. The TrignoIM wireless EMG wireless collector is selected to collect human electromyography data, and the data errors of the gyroscope, accelerometer, and magnetometer are analyzed and processed to construct the Chinese classical dance movement data set. Subsequently, Maya animation software was used to spatially model the character body and finger bone vectors of classical Chinese dance movements and combined with neural fusion shape techniques such as envelope deformation branching and residual deformation branching for bone building and skin weight binding. In order to test the effectiveness of the motion capture and modeling techniques in this paper, they are applied to the digital teaching of classical Chinese dance. The comparison group and the conventional group were selected to adopt different training methods, and a final assessment was conducted after completing the classical dance course. When it came to movement amplitude, the conventional teaching scored 4.06 points higher than the comparison group, and the comparison group performed better than the conventional group in all other areas. Classical Chinese dance movement vector space modeling based on motion capture technology is able to standardize classical dance movements.
A Study of English Lexical Disambiguation Based on the Transformer Model
Authors: Wu Yubing 
Published: December 2024

Abstract
Word sense disambiguation is a common problem in the field of English language processing. In this paper, we use the Transformer model and LSTM model to construct a fusion model for word sense disambiguation, which provides a method to solve the problem of low accuracy in English vocabulary disambiguation. This paper first introduces the construction of a Transformer-based context embedding model to achieve word sense disambiguation, which effectively captures semantic and sequential information in the context. On the basis of the Transformer lexical disambiguation model, the fusion model of lexical disambiguation is proposed by integrating the LSTM network, and the efficiency of lexical disambiguation is improved by taking advantage of the long and short-term dependency properties of the LSTM network and the parallel processing mechanism of Transformer network. The average disambiguation accuracy of this model reaches 75.24% in English word disambiguation, and the average disambiguation accuracy increases and decreases by less than 5% in different language scales, and the F1 scores of words with different lexical natures are more than 80. The average disambiguation accuracy of this model is higher than those of the comparative LSTM models in different disambiguation features. The English word disambiguation model’s overall performance in this paper is satisfactory.
Synergies between ESG Performance and Financing Cost Control in Advanced Manufacturing Firms in the Digital Era
Authors: Zheng Shuyi , Wang Tiantian 
Published: December 2024

Abstract
In the context of the digital era, advanced manufacturing firms exhibit significant synergies between their environmental, social, and governance performance and their cost control in financing. The purpose of this paper is to design an endogenous digital transformation method for manufacturing enterprises and evaluate their digital transformation capability using the entropy weight model. To analyze the relationship between digital transformation and an enterprise’s ESG performance, regression equations are used to collect data. The proposal and demonstration suggest analyzing the synergistic effect between enterprise ESG performance and financing cost control in this manner. The comprehensive ability of digital transformation of manufacturing enterprises shows a steady increase between 2018 and 2023, and the brush transformation ability of most enterprises is measured between 0.064 and 0.076. After fixing industry and time effects, a one-unit improvement in corporate digital transformation is associated with a corresponding rise in ESG performance of 0.0622. Lower financing costs can be achieved through better ESG performance of advanced enterprises that have been digitally transformed. The regression analysis proves the hypothesis that ESG performance is negatively correlated with financing costs. In summary, advanced manufacturing enterprises can achieve more efficient and greener development through digital transformation, and enhance their sustainability capability.
Exploring the “Online+Offline” Hybrid English Teaching Method Based on Constructivism Theory
Authors: Liang Juntong 
Published: December 2024

Abstract
Based on constructivism, blended teaching pays more attention to highlighting the students’ subject position, which is an organic integration of classroom teaching and online learning, and emphasizes the teacher’s leading role in the teaching process and the students’ main role in the English listening and speaking teaching activities at the same time. In this paper, we take the principles of English teaching under constructivism, such as the concept of non-unique knowledge, the concept of active constructive learning, the concept of cooperation between teachers and students, and the concept of twoway interactive teaching, as a guide, and design a hybrid English teaching method of “online + offline” that runs through the stages of pre-class pre-study, classroom teaching, and after-class review. Applied to an English teaching class in a middle school in Guangdong Province, the method had a significant and positive effect on overall English learning motivation, as well as motivation in and out of the classroom. The grades of the experimental class were 15.36 and 17.94 before and after the semester, which were significantly different and better than those of the control class. After the implementation of the online-offline hybrid teaching model, the experimental class improved its English proficiency more than the control class, and the student’s perceptions of the dimensions of interest in learning, learning habits and learning experience were more positive.
A network study of user path optimisation in personalised experience design for museums
Authors: Wu Jiati , Li Dan 
Published: December 2024

Abstract
Faced with the plight of declining visitor traffic, major museums are actively seeking new changes and exploring more attractive personalised experience designs. In this paper, we take “demand-optimisation” as the research idea to analyse the personalised demand for museum visit experience. Under the guidance of experience design thinking, the solution for a digital roaming museum service platform with a community function has been designed. In the optimization path chain of “information acquisition - self-creation - memory experience”, the digital museum reconstruction combining hierarchical modelling and octree, the A* algorithm based virtual interactive roaming, the social interaction based virtual roaming, and the social experience based virtual interactive roaming are proposed respectively. The digital museum reconstruction with hierarchical modelling and octree, the virtual interactive roaming based on A* algorithm, and the souvenir recommendation based on social network analysis are proposed, respectively. The experimentally constructed digital museum scene has fewer collisions and a higher frame rate, which can have a more comprehensive information perception on the basis of fully restoring the real experience. Meanwhile, the interactive roaming test shows that the paths generated by the algorithms in this paper are fitted smoothly and can meet the personalized roaming needs in the virtual museum scene. In addition, the MAE of the recommendation result for the souvenir guide module is only 0.012, with a high degree of matching. In terms of scene information display, roaming freedom, and souvenir recommendation suitability, the above optimized link networks enhance the museum visiting experience.
Spectral modelling of suona sound characteristics in Shanxi Jin opera music
Authors: Chen Geng 
Published: December 2024

Abstract
Shanxi Jin Opera music has become more and more mature in recent years, and the objective measurement of the suona instrument has a very important influence on the combination pattern of instruments in the music. In this paper, we use the pre-emphasis and frame-window methods to preprocess the digitized sound signals of Shanxi Jin Opera and then extract the onset and period of the fundamental in the sound signals based on the short-time autocorrelation function. Subsequently, the excitation source-filter model is used to design the spectral analysis model of sound features, and the MFCC method is used to extract the sound features of a sample and obtain its spectral analysis results. The spectral analysis model proposed in this paper is highly accurate and can be used for subsequent empirical analysis, as shown by the study. The results of the empirical spectral analysis found that the D tone of suona in Shanxi Jin Opera music has a higher deviation, the acoustics of the fundamental tone are lower, and the fundamental frequency and pitch of the D tone are 574.01 HZ and D5-10, respectively. In addition, the #F tone of suona is sustainable, can be excited quickly and vibrates uniformly, and the stability of the tone is also more excellent. This paper provides objective measurement tools and data for the analysis of the suona spectrum in the music of the Shanxi Jin Opera, which provides an effective reference for relevant composers and musicologists.
A Study on the Impact and Development of Optimising Logistics Regulations on the Transport Industry in the Context of the Digital Economy
Authors: Cui Xiaoyan , Li Lu , Zhu Jie 
Published: December 2024

Abstract
This paper analyses the profile and mode of operation of the transport industry and finds that a large market, high returns, strong trends, long cycles, large investments and strong competition characterise the transport industry. Based on the theory of policy tools, logistics regulations are classified into three types: supply-type, environment-type, and demand-type, and the cumulative regulatory strength values are measured for each year respectively. By constructing a system dynamics model with sensitivity analysis and regulation interpretation, the effect of optimising logistics regulations on each dimension of the transport industry is studied in depth, and the differences in the effect of different logistics regulations on the operation and management of the transport industry, the infrastructure, the level of economic development, and the level of informatisation are analysed. From the long-term perspective, it seems that optimizing logistics regulations will promote the positive development of the transport industry. As the transport industry continues to improve, environmental and demand-based regulations become less influential on its performance. For every 10 per cent change in environmental and demand regulations, the transport industry is affected by 0.5 per cent as well as 0.7 per cent. When regulations change by 30%, supply-based regulations have the greatest positive impact on the transportation industry’s operational management, infrastructure, level of economic development, and level of information technology. Obviously optimising logistics regulations can better promote the level of transport industry.
Study on the construction of semantic web perception-driven smart installation cloud verification interaction model in power marketing
Authors: Wei Kai , Yang Chen , Li Hu 
Published: December 2024

Abstract
The informatisation process of power marketing has gradually accelerated its development, and in order to be able to more comprehensively understand the current electric energy usage, receivable tariffs, actual tariffs and delinquent tariffs management and other business conditions of the supply area under its jurisdiction, the use and development of the smart installation cloud verification model have become inevitable. The article builds a semantic web-based perception-driven smart installation cloud verification interaction model, specifically, the overall design of the power marketing smart installation management system from the three major functions of application verification, change of line and station area and pre-consultation. Then, a cloud calibration interaction model based on semantic network perception is constructed, and a specific method of model calibration is proposed after identifying the problems in cloud calibration using semantic analysis. After putting the smart installation cloud verification interaction model constructed in this paper into practical use, the temporary new installation users were reduced from the previous 37 days to 30 days, shortening by 7 days, and the overall expansion process was simplified after reorganisation.
Informatisation Path of English Teaching and Translation Professional Competence Cultivation in the Internet Era
Authors: Xu Qilu 
Published: December 2024

Abstract
University English translation teaching is an important part of cultivating students’ translation ability, and the application of information technology in the Internet era can open up a better path for English translation teaching. In this paper, we design an information technology pathway for English translation teaching, which achieves personalised recommendation of English translation learning resources by constructing the ECA-CSGCN model to help students carry out online independent learning of English translation. The application effect of the pathway is explored using independent sample t-tests after evaluating the model’s performance. The accuracy, recall, and F1 value of the resource recommendation for ECA-CSGCN are higher than those of the other comparative models on the three experimental sample sets. Its RMSE values for recommendation accuracy are 0.75%, 0.69%, and 0.66%, respectively, which are better than other models. It indicates that the ECA-CSGCN resource recommendation algorithm performs better and is suitable for the task of English translation learning resource recommendations. Before the experiment, the independent samples t-test of English translation scores for the experimental group that adopts the informatised teaching path of English translation in this paper and the control group that adopts the traditional classroom teaching model shows that there is no significant difference between the experimental group and the control group (P=0.91>0.05). After the experiment, there is a significant difference between the two groups (P=0.02<0.05). It shows that the application effect of the computer-based approach to English translation teaching designed in this paper is better than traditional teaching methods, which helps to cultivate students’ professional competence in translation.
Regulations in the Intelligent Development of China’s Logistics Industry in the Context of Artificial Intelligence
Authors: Zhu Jie , Li Lu , Cui Xiaoyan 
Published: December 2024

Abstract
Artificial intelligence significantly contributes to the intelligent development of China’s logistics industry, leading to significant advancements in the construction of industry-related regulations. The study builds a knowledge graph of the intelligent development and regulation construction of China’s logistics industry, constructs a BSB-Bi-LSTM-CRF model for named entity identification in the intelligent development and regulation construction of the logistics industry, and applies the BSB-Bi-GRU model to extract entity relationships in the intelligent development and regulation construction of the logistics industry. Based on the constructed knowledge graph, co-occurrence analysis, cluster analysis, time zone analysis, and emergence analysis were conducted on the keywords between 2010 and 2020 to explore the development trend and development focus of regulations in the intelligent development of China’s logistics industry during this period. Among the top 15 keywords, intelligent logistics, logistics regulations, logistics enterprises, legal measures, sustainable development, logistics activities, logistics management, etc., with intermediary centrality of more than 0.35 and cooccurrence frequency of more than 80, Cluster 1, Cluster 2, and Cluster 3 keywords belong to the basic, hot, and novel contents in the construction of regulations for the intelligent development of the logistics industry, respectively. The years 2010-2012, 2013-2015, and 2016-2020 correspond to the starting, exploring, and developing phases of the construction of regulations for the intelligent development of China’s logistics industry respectively.
Analysis of the Impact of Financial Structure Optimisation of Universities on Government Accounting Comprehensive Budget Performance Management Based on ABC Model Perspective
Authors: Cao Wei 
Published: December 2024

Abstract
In the construction of higher education, there is a contradiction between the state’s financial allocation and the financial needs of the development of the higher education business itself. In order to improve the efficiency of the use of funds and achieve the rational allocation of public resources, comprehensive budget performance management of government accounting becomes particularly important. This paper introduces the ABC (motivation-behaviour-consequence) model, uses 230 valid data collected, and empirically examines the influence of motivation and behaviour of financial structure optimization of higher education institutions on comprehensive budget performance management of government accounting by using multiple regression models. It has been found that the financial structure optimization of universities significantly improves government accounting comprehensive budget performance management. A series of robustness tests, such as the parallel trend test and placebo test, support these findings. Heterogeneity analysis found that the effect of financial structure optimisation of HEIs on government accounting comprehensive budget performance management is more pronounced in regions with poorer institutional environments, weaker government audits, and higher levels of fiscal decentralisation. The study aims to provide a useful reference for improving the teaching quality of higher education institutions and optimizing the allocation of public resources in society.