bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengembangan “ARA Berkelana” Sebagai Alat Assessment Responsibilty Berbasis Keunggulan Lokal PANTURA Untuk Pelatihan Guru SD 5 Bae
Authors: Sekar Dwi Ardianti  , Savitri Wanabuliandari  , Fajar Nugraha  
Published: December 2023

Pendahuluan: Penguatan pendidikan karakter di Indonesia mengalami beberapa kendala, salah satunya penurunan self responsibility siswa. Self responsibility penting untuk dikembangkan karena dalam masa pandemi masih banyak siswa yang tidak bertanggung jawab terhadap kewajibannya. Tujuan dari kegiatan ini adalah menghasilkan “ARA Berkelana” Application of Responsibilty Assessment Berbasis Keunggulan Lokal PANTURA sebagai alat assessment self responsibility untuk pelatihan bagi Guru SD 5 Bae. Metode: Metode yang digunakan, yaitu kualitatif yang dimulai dari tahap analisis kebutuhan awal, perancangan, dan pengembangan aplikasi serta evaluasi. Evaluasi kegiatan ini dilakukan dengan menggunakan teknik non tes meliputi teknik wawancara dan teknik dokumentasi. Hasil: Hasilnya, tersedianya “ARA Berkelana” Application of Responsibility Assessment Berbasis Keunggulan Lokal PANTURA sebagai alat assessment self responsibility untuk pelatihan bagi Guru SD 5 Bae. Kesimpulan: Pengembangan aplikasi assessment untuk mengukur self responsibility siswa disusun sesuai dengan kebutuhan pengguna dan indikator self responsibility. ARA Berkelana dikembangkan dengan mengintegrasikan keunggulan lokal PANTURA sebagai alat assessment self responsibility untuk pelatihan guru SD 5 Bae.
Viðhorf endurskoðenda til endurskoðunarnefnda
Authors: Guðbjartsson Einar , Jónsson Eyþór Ívar , Snorrason Jón Snorri 
Published: December 2023

Í lögum um ársreikninga nr. 3/2006 er kveðið á um að stjórn viðkomandi einingar sem tengist almannahagsmunum skipi nefndarmenn í endurskoðunarnefnd. Endurskoðunarnefnd fer með hluta af þeim verkefnum sem stjórn hafði áður á sínu borði sem á að tryggja gæði og áreiðanleika fjárhagsupplýsinga, hvort heldur er um að ræða skýrslur til stjórnenda félagsins eða til hagsmunaaðila utan félagsins. Tilvist endurskoðunarnefnda tengist því beint góðum stjórnarháttum. Starfsumhverfi endurskoðunarnefnda hafa hins vegar verið lítið rannsakað á Íslandi jafnvel þó að þær gegni mikilvægu hlutverki í stjórnarháttum fyrirtækjum. Endurskoðunarnefndir fara með störf sem stjórnir fyrirtækja höfðu áður á sínu borði.
Greinin byggir á tveimur rannsóknum, annars vegar frá 2018 og hins vegar frá 2022 þar sem ytri endurskoðendur voru þátttakendur í spurningakönnun og í rýnihópi. Sambærileg samanburðarrannsókn hefur ekki verið gerð áður á Íslandi, þar sem umhverfið er endurskoðunarnefndir. Samanburðarrannsókn þessi felur í sér viðhorf ytri endurskoðenda til endurskoðunarnefnda t.d. hvort endurskoðunarnefndir hafi aukið gagnsæi og traust á fjárhagsupplýsingum fyrirtækja, að mati þátttakenda. Þátttakendur ræða m.a. hugtökin traust og gæði í samhengi við starfssvið endurskoðunarnefnda. Jafnframt er rætt um undirbúning nefndarmanna fyrir fundi, umræður og virkni þeirra og síðast en ekki síst um ábendingar og framlag til bættrar ytri endurskoðunar. Rannsóknarspurningin sem unnið er með er hvort viðhorf endurskoðenda til endurskoðunarnefnda 2022 hafi breyst frá 2018 og leitað mögulegra skýringa
Samanburður á niðurstöðum þessara tveggja rannsókna, 2018 og 2022, bendir til þess að breytingar séu á viðhorfi ytri endurskoðenda til verklags endurskoðunarnefnda. Til að rýna í einstök atriði, eins og sérþekkingu, gagnsæi og traust, var fenginn rýnihópur úr hópi þátttakenda í könnuninni 2022. Niðurstöður rannsóknanna tveggja er jákvætt viðhorf gagnvart starfsemi endurskoðunarnefnda. Í báðum rannsóknunum töldu 35-40% þátttakenda að mest vantaði sérþekkingu er tengist reikningsskilum og endurskoðun.
Research on English Foreign Propaganda Translation and External Communication Paths Based on Multimodal Analysis Approach
Authors: You Zhuomei 
Published: December 2023

Abstract
In this paper, a multimodal phrase corpus is created, enabling phrases to be searched automatically. The phrase structure is constructed through phrase centroids, and multilevel linguistic measurements are obtained for vocabulary, syntax, and parts of speech styles. A joint feature analysis model for the automatic conversion of English-Chinese machine translation is constructed through distributed feature fusion and joint parameter analysis. Linear statistical features and feature analysis detection are utilized to compute the optimal solution for English-Chinese machine automatic translation text. The graph embedding technique was used to pretrain the knowledge graph and obtain information about the network structure. Combined with the graph convolution technique, deep semantic information mining was carried out to achieve efficient content matching and cultural dissemination. It has been proved that the method of this paper has an AUC value of 0.921 and a satisfaction rate between 80% and 95% in English-translated movie data. The proposed method can accurately translate information from English to foreign propaganda content, which further promotes the development of international cultural exchange and communication.
Analyzing the Relationship between Financing Constraints and Inefficient Investments in Technology-Based Enterprises Toward Digital Financial Inclusion
Authors: Tian Jing 
Published: December 2023

Abstract
This paper analyzes the correlation between digital inclusive finance, financing constraints, and inefficient investment, and proposes a research hypothesis linking the three. Secondly, the introduction of quantile regression in Bayesian estimation theory constructs a Bayesian quantile regression model, and in this way, the digital financial inclusion, financing constraints, and inefficient investment regression research modeling. Finally, to verify the mutual influence effect between the three, an empirical analysis was conducted. The results show that the regression coefficient between digital inclusive finance and inefficient investment is −0.0002, the regression coefficient between financing constraints and digital inclusive finance is −0.137, and the regression coefficients between financing constraints and overinvestment and underinvestment are −0.005 and 0.002, respectively, and the regression coefficients of the three are all significant at the 1% level. This indicates that digital inclusive finance will have a dampening effect on the non-investment efficiency of science and technology-based enterprises, which in turn reduces financing constraints and promotes enterprise development.
Research on the Construction of English Teaching Resource Base in Colleges and Universities under the Background of Artificial Intelligence
Authors: Huang Xinqun , Hu Huiping 
Published: December 2023

Abstract
In order to improve the status quo of English teaching in colleges and universities, this paper combines the basic concepts of teaching resource base construction with artificial intelligence technology to build a teaching resource base for English in colleges and universities. The overall framework is designed first, followed by the intelligent identity recognition function that is based on artificial intelligence technology. Secondly, on the basis of the text classification algorithm, it designs an intelligent classification retrieval model for English teaching by improving the resource text feature selection algorithm and the resource text representation algorithm. Finally, the performance of the designed college English teaching resource library was tested and explored practically. The results show that the overall teaching resource text feature classification performance has an accuracy, recall, and F1 score of around 0.9. After the teaching practice, the teacher’s lesson preparation and professional competence have been improved by 0.22 and 0.23, respectively, and the student’s English communication and reading competence have been improved by 0.22 and 0.21, respectively. The construction of the English teaching resource base based on this research can improve English teaching.
Analysis of the multiple dimensions of ideological education in Marxist theory
Authors: Jiang Li 
Published: December 2023

Abstract
A model is utilized in this paper to analyze the textual emotions of ideology in Marxist theory. Long and short-term memory networks are chosen as the main method of text analysis to construct the main process of Marxist ideology education. Combined with the hybrid self-attention mechanism, the efficiency of extracting data features from the text was improved. The results show that the ALBERT-SABL-based sentiment analysis model is 86.9% accurate in extracting the sentiment of the ideology, and the F1 value is 87.6%. Compared with TextCnn, the accuracy has improved by 1.8%. Different schools have different levels of identification with Marx’s ideology, and under the identification dimension, the highest sentiment identification dimension among the eight school samples is School 2, with a dimension of 100. This study provides reference data in the ideological education of Marxist theory and promotes the development of Marx’s ideology.
The Construction of English Precision Education Model in Colleges and Universities under the Background of Artificial Intelligence
Authors: Luo Yu 
Published: December 2023

Abstract
This paper first deconstructs the core of the college English precision education model, combines relevant theoretical knowledge, and constructs a college English precision education model based on artificial intelligence. Secondly, the convolutional neural network technology is integrated into the joint probability matrix decomposition model, and the resource recommendation list is generated through the cognitive ability level of students and their individualized needs so as to realize the precise, intelligent recommendation of English education resources. Finally, the performance of the recommendation for teaching English educational resources and the practical effect of the educational model are explored through comparative experiments. The results show that the precision rate and recall rate of the recommendation with a test set of 10% are 0.871 and 0.866, respectively, and the F1 value is 0.88. After the teaching practice, students’ listening ability improved by 0.132, expression ability improved by 0.13, reading ability improved by 0.132, writing ability improved by 0.130, and translation ability improved by 0.128. Based on the paper, the educational model has a positive impact on improving the level of English education in colleges and universities.
A Practical Study of Applying Optimization Theory in English Teaching Work in Colleges and Universities
Authors: Ruan Guoyan 
Published: December 2023

Abstract
This paper analyzes the optimization problem of the English teaching process, uses the proposed Newton algorithm to solve the optimization problem, and provides the calculation process for the BFGS algorithm. Based on the optimization theory, the principle of optimization of English teaching in colleges and universities is discussed, and the mixed teaching mode of English in colleges and universities is constructed. To verify the practical effectiveness of the application of the English mixed teaching mode in English teaching work, an empirical analysis was carried out. The results show that the English hybrid teaching mode based on the optimization theory can effectively improve students’ English oral expression ability, and the difference in oral accuracy of the experimental class compared with the control class is 11.98 points, and 20.41 points improve fluency. It can also provide effective help for students to improve the content, language, and chapter structure of English writing and promote the innovative development of English teaching in colleges and universities.
Exploring the Strategy of Informatization Cultivation of English Translation Talents in Civil Aviation Industry under the Perspective of Ecological Translation Studies
Authors: Shen Weihua , Li Shixian , Song Yue 
Published: December 2023

Abstract
From the perspective of ecological translation, the “three-dimensional conversion” method of civil aviation terminology is proposed to help improve the accuracy of civil aviation English terminology translation. The strategy of cultivating civil aviation English translation talents is provided by three means: enhancing the awareness of ecological translation aesthetics, multicultural literacy, and innovative cultivation modes. Based on the QFD method under the TRIZ theory, the quality evaluation model of civil aviation English translation talent cultivation is constructed, and the degree of talent cultivation demand is calculated. Construct an information technology training platform for English translation talents in the civil aviation industry, focusing on four aspects: system function, innovation theory learning, innovation theory application, and innovation achievement evaluation. The effects of the civil aviation English translation talent cultivation model and quality evaluation are analyzed separately. According to the findings, the innovative civil aviation English translation talent cultivation model achieves scores of 0.68, 0.77, 0.46, 0.7, and 0.41, and is more effective than the traditional talent cultivation model. In the quality evaluation of civil aviation English translation talent training, all 19 indexes scored above 5 points, indicating that the quality of talent training is better and can deliver a number of high-quality English translation talents to the civil aviation industry.
An Exploration of English Translation Methods for Long Sentences Combined with Modal Analysis from the Perspective of Translation Purpose
Authors: Xue Jiao 
Published: December 2023

Abstract
The complex sentence structure and complicated semantic logic of English long sentences are the difficult points that need to be overcome urgently in English translation. This paper outlines the basic direction of machine translation based on the perspective of translation purpose. Based on the grammatical categories of English words, lexical annotation is completed, and regular expressions for matching English long sentences are proposed based on the annotation results. After realizing the preprocessing of English text, the features of the text are extracted and converted into the format required by the CRF model, and the long-sentence slicing is completed through the training of CRF. The cut Encoder encoding and Decoder decoding were utilized to generate the final machine translation result. In the test of the United Nations machine translation corpus, this paper’s method improves the translation performance in the English-Chinese direction by 0.29 Bleu value and the translation performance in the Chinese-English direction by 0.13 Bleu value compared with the method of Xu and Zens. The translation performance is effectively improved by combining long sentence slice translation with modal analysis.
Research on the Application of Dance Talent Cultivation Mode in Colleges and Universities in the Context of Multimedia Era
Authors: Yang Jingming 
Published: December 2023

Abstract
This paper combines Kinect and convolutional neural networks to construct a dance movement recognition technology based on 3D CNNs. Applying dance movement recognition technology to dance teaching builds a new mode of training dance talents in colleges and universities. The role of Kinect in recognizing dance movements is explored from three aspects: real-time motion capture, human skeleton tracking, and information input. The dance movement image is computerized by calculating the depth of the points using stereo analysis. To analyze dance movements and classify them by features, a convolutional neural network is combined. Based on two-dimensional convolutional neural networks, three-dimensional convolutional neural networks have been constructed, which improve the comprehensiveness of dance movement information. By combining dance movement recognition technology with dance talent cultivation, we analyze the students’ professional dance ability and the teaching effect under the new talent cultivation mode. The results show that the teaching effect of the dance talent cultivation mode combined with the movement recognition technology is better, and the percentage of students dance movements reaching the standard in a movement completion is 0.95. The professional ability of dance talent is 0.8 percent.
The Integration of Vocal Music Teaching and Traditional Music Culture in Colleges and Universities in the Context of Internet Plus
Authors: Zheng Ying 
Published: December 2023

Abstract
Firstly, the signal extraction in the teaching of vocal music and traditional music in the background of Internet+ is explained in the research. Considering that the initial signal is an analog signal, it is necessary to carry out quantization, pre-emphasis, and windowing and framing processing of the music signal, thus realizing the conversion from analog signals to digital signals. Secondly, the features of the music signal are extracted from the fundamental frequency perturbation and resonance peak perturbation so as to obtain the eigenvalues of the music digital signal. Then, the evaluation model of teaching fusion of vocal music and traditional music culture in colleges and universities is constructed, the input and network parameters of the model are determined according to the music features and variables, and the evaluation model of teaching fusion of vocal music and traditional music based on the Internet is empirically analyzed by means of simulation analysis. The results show that on the evaluation model instance analysis, the average scoring results obtained from the network based on the evaluation model network for the integration of vocal music and traditional music teaching are 0.729, an error of 0.05%, and compared with the subjective scoring of 0.741 (scored by the experts), the two evaluation results are similar, and the output of the evaluation model basically is able to meet the requirements. Through this study, the main content of classroom teaching can be enhanced, and students can be guided to treat traditional music and culture correctly.
Partial Discharge Detection Technology for GIS Insulation Defects under Complex Electromagnetic Environment
Authors: Chentian  , Huruizhi  , Liuyuting  , Zouyang  
Published: December 2023

Abstract
This paper first introduces the main types of GIS insulation defects and explores the discharge mechanism of GIS insulation. Then, the space of discharge features of GIS insulation defects in a complex electromagnetic environment is constructed, and the feature dimensionality reduction is carried out by using principal component analysis. Then, the support vector machine algorithm is explored and optimized with the immune algorithm to identify and detect the local features of insulation defects. Finally, the local discharge characteristics of GIS insulation defects are investigated through simulation experiments, and the discharge results are analyzed. The results show that the average peak-to-peak value is around 31mV and the power distribution band is 133~168MHZ for the spiky insulation defects, the average peak-to-peak value is around 19.8mV and the power distribution band is around 202MHZ for the metallic particles insulation, and the peak value of the air gap is less than 8mV and more than 48mV for some, and the power distribution band is 98MHZ~146MHZ. The localized discharge characteristics of the defects of the GIS insulation parts are identified and detected by the immune optimization of the support vector machine algorithm. The overall recognition rate of immunodeficient partial discharges of insulating parts is around 0.90. This study is able to detect the type of partial discharges in GIS insulating parts well.
Research on the Implementation Path of Tourism Contributing to the Development of Rural Revitalization Combined with Elastic Regression Network Algorithm
Authors: Chen Qin 
Published: December 2023

Abstract
This paper analyzes the power mechanism of tourism to help rural revitalization by elaborating the core content of rural tourism and rural revitalization. It also combines the advantages of the Lasso regression method and ridge regression method to form a flexible regression network model, which is used to predict the amount of tourists and tourists’ demand for rural tourism so as to put forward the implementation path of the tourism industry to help rural revitalization development. To verify the effectiveness of the proposed algorithm, data analysis is carried out in rural areas of L city as an example. The results show that compared with the Lasso regression model, the average absolute percentage error decreased by 2.41%, the average absolute error decreased by 2,233, and the root-mean-square error decreased by 2,967, which indicates that the elasticity regression network prediction model has a stronger generalization ability and a better prediction ability, and it can predict the number of tourists more accurately, and it can provide data for the tourism industry to contribute to rural revitalization and development. Reference.
Research on the Innovation of English Teaching in Colleges and Universities under the Background of Internet
Authors: Guo Fang 
Published: December 2023

Abstract
The intelligent development of society has brought new impetus to English teaching in universities, which has led education workers to update their education philosophy and realize the integration and innovation of teaching methods. This paper takes advantage of the Internet’s advantages in blended teaching as the entry point and constructs a blended learning model for English teaching. To verify the innovation and practicability of the model in teaching, the evaluation index system of the blended learning model of English teaching is constructed on the basis of the CIPP model, and the variance maximization idea is used to combine the weights of principal component analysis and entropy weights, which guarantees the scientificity and objectivity of the weights of the evaluation indexes. The blended learning model of teaching was quantitatively analyzed in terms of teaching objectives, programs, processes, and effects using examples. The results show that the blended learning model of English teaching is conducive to improving the level of English teaching in colleges and universities, and its overall evaluation score is 3.59, which is a good level. Each first-level index in the evaluation index system has a score range of 3.2 to 3.7, which is a good level overall. Under the background of the Internet, the introduction of blended teaching can effectively innovate English teaching, and on the basis of focusing on students’ learning behaviors, we should pay attention to the guiding role of teachers so as to boost the quality of English teaching.