bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interventions and Reflections on Digital Music Technology in Vocal Performance
Authors: Hu Hong , Yang Jichao 
Published: June 2024

Abstract
With the continuous development of the digital era, digital technology is more and more closely combined with various fields, and the integration and development of digital music technology in vocal performance has also received wider attention. This study analyzes the hierarchical relationship of digital music in depth, explores the effect relationship of digital music technology in combination with vocal recording collection, and further studies the interaction effect of intervening digital music technology in vocal performance from the perspective of interaction relationship. In the actual vocal performance, the peaks of the left and right channels of the music signals of the intervening digital music technology were around ±0.30 and 0.10, respectively, and the volume of the left channel was larger than that of the right channel. In all aspects, the effect of vocal performance on music acquisition is better with digital music technology. Meanwhile, the highest ratio of audience silence in the interactive impact of vocal performance intervening digital music technology was reduced by 10% compared with the traditional vocal performance, which proved that the vocal performance based on digital music technology has a better interactive effect and provided a solid and reliable basis for the development of the integration of digital music technology and vocal performance.
Research and Practice on Digital Transformation of Higher Vocational Intelligent Manufacturing Professional Group under the Background of Industrial Internet
Authors: Wang Hong , Jiang Zhizhen 
Published: June 2024

Abstract
The swift advancement of digital technology introduces both challenges and opportunities for the education and training of students in intelligent manufacturing programs at higher vocational colleges. This study proposes a digital course model contextualized within the framework of the industrial Internet. To enhance the utilization of digital teaching resources and elevate the quality of these resources, a personalized approach to acquiring teaching resources is developed. Additionally, this paper refines the collaborative filtering recommendation algorithm by integrating similarity metrics and K-means clustering techniques, thereby augmenting the efficiency of learning resource recommendations for professional groups in intelligent manufacturing. And further practice to explore the effects of its digital transformation. Significance at the 0.01 level is shown between the teacher’s concept of teaching and the application of teaching equipment, teaching preparation, learning attitude, learning response, equipment use, teaching resources, and the application effect of digital teaching resources. Digital Transformation Effect = −0.215+0.134*Teacher Concept of Instruction + 0.174*Instructional Equipment Application + 0.134*Instructional Preparation + 0.154*Learning Attitude + 0.14*Learning Response + 0.071*Equipment Usage + 0.045*Instructional Resources. As a result of this study, the construction of a teaching resource platform should be focused on, and the classification, organization, and sequencing of resources should be strengthened.
Innovative Application of Color Pottery Patterns in Modern Clothing Design Based on Three-Dimensional Image Processing Technology
Authors: Pan Zaoxia 
Published: June 2024

Abstract
Nowadays, the convergence of global clothing culture is becoming more and more significant, and “Chinese style” clothing, which integrates traditional Chinese cultural elements into clothing design, is being sought after by more and more contemporary consumers. This paper proposes research on modern clothing design that incorporates pottery patterns supported by three-dimensional image processing technology. After using three-dimensional measurement technology to obtain pottery image data, the extracted three-dimensional image is smoothed, segmented, and binarized to complete the extraction of pottery patterns. The extracted pottery pattern features are then automatically reorganized using shape grammar, so that the pattern features can be better integrated into modern clothing design, and a case study is conducted on the clothing design that incorporates pottery pattern features. The data show that the indexes of pottery pattern extraction based on 3D image processing are Recall=95.23%, Precision=91.64%, Jaccard index=94.12%, F-measure=93.36%, and the performance of pottery pattern extraction can satisfy the standard of modern clothing design. In the pattern characteristics and “individualized - mass” clothing design, the prominent design method is the uniform and different shapes and sizes of the full-body pattern combination (0.947). The application of colored pottery patterns to clothing in this study not only meets people’s demands but also has significant significance for the preservation of traditional Chinese culture.
Design and Optimization Analysis of Mechanical Hydraulic System Based on ANSYS Workbench
Authors: Zhang Yiyue 
Published: June 2024

Abstract
The piping system in the mechanical hydraulic system occupies a large proportion, and the working environment of the whole piping system is relatively complex. This paper is based on the digital model of the mechanical hydraulic system and the optimization of the piping system in the mechanical, hydraulic system. Through the Newton method, we establish a mechanical, hydraulic piping model by studying the two ends of the solid support of a simple straight single pipe so as to optimize the mechanical, hydraulic piping system. Using ANSYS Workbench software, the optimized fluid and solid states are solved using the fluid-solid coupling method to analyze the fluid-solid coupling modes of the pipeline. In the first four orders of the pipeline system, the intrinsic frequency decreases with the increase of the flow velocity, and the inherent frequency tends to 0. As the axial force increases, the first four orders of the intrinsic frequency increase slowly. As fluid pressure increases, there is a small decrease in the inherent frequency of the first four orders. The simulation results are compared with experimental data, and the relative errors of the simulation results obtained by the fluid-solid coupling method do not exceed 2% under typical pressure conditions. The simulation calculation results are virtually identical to the test data, indicating that the simulation results are genuine and reliable.
Artificial Intelligence Technology Boosts the Construction of Intelligent Translation Teaching Mode of English in Colleges and Universities
Authors: Xu Qilu 
Published: June 2024

Abstract
The integration of artificial intelligence (AI) across various domains marks a significant trend in contemporary development, with its application in English translation teaching in higher education emerging as a focal area of research. In response to the evolving needs of English translation instruction, this study advocates for a novel AI-supported teaching method leveraging a translation system. We incorporate a multi-hop attention mechanism within a Long Short-Term Memory (LSTM) network to develop an intelligent neural network machine translation model. This model is enhanced with a meta-learning recommendation algorithm, which delivers personalized translation learning materials to students, facilitating an intelligent teaching paradigm. The efficacy of this innovative teaching method was empirically tested by assessing its translation performance prior to classroom implementation. The evaluation involved comparative tests on English-to-Chinese and Chinese-to-English translation. The results reveal that students taught under this AI-enhanced model scored mean values of 27.68 and 37.42 in these respective tests, exhibiting statistically significant improvements over those taught via traditional methods (P<0.05). The findings suggest that the intelligent translation teaching system proposed in this study holds promising potential for redefining English translation teaching frameworks in universities, indicating a substantial stride toward the integration of AI in educational methodologies.
3D animation stereo space design based on digital visual communication technology
Authors: Bao Wenjun 
Published: June 2024

Abstract
With the rapid development of science and technology, digital visual communication technology has become an important tool for 3D animation stereo space design. The study constructs a 3D animation stereo space design framework model using NURBS-based surface modeling and texture mapping algorithms. It compares it with the traditional 3D modeling algorithm to explore the authenticity and reliability of the stereo space design framework model for 3D animation. Finally, by comparing the differences in user experience between the 3D animated stereo spatial design framework model proposed in this paper and the spatial design of the traditional 3D modeling model, the user experience effect and superiority of the 3D animated stereo spatial design framework model are explored. After comparison, the detection time of the 3D stereo spatial design framework model in three-time indicators is 307ms, 324ms, and 318ms, respectively, which is significantly faster than the traditional 3D modeling algorithm. Its detection accuracy is 17% higher than that of the conventional 3D modeling algorithm, and the number of delays, scene stutters, and black screen flashes of the 3D stereo spatial design framework model and the traditional 3D modeling algorithm increase with the extension of detection time, but the former is always better than the latter. The 3D stereo spatial design framework model has a higher mean score than the traditional 3D modeling algorithm by 8.12 to 9.82 points in terms of user experience.
Innovation and Implementation of Teaching Mode of Higher Vocational Advertising Planning Course in the Context of AI Smart Marketing
Authors: Zeng Cuifeng 
Published: June 2024

Abstract
With the ongoing advancement of AI in intelligent marketing, there is a pressing need for the continuous innovation and evolution of advertising planning courses in higher vocational education to keep pace with environmental shifts. This paper introduces a sophisticated smart learning model, beginning with the construction of a subject knowledge map and detailing its development methodology. Building upon this foundation, the paper enhances the Dijkstra algorithm and integrates it with the ant colony algorithm to offer personalized learning path recommendations. Furthermore, an improved convolutional neural network is employed to generate these customized learning paths. An empirical study is conducted using the advertising planning course of a higher vocational school as a case study. The findings of this research highlight the efficacy of the proposed intelligent learning model in the instructional process. Notably, there is a significant increase in student engagement, with the level of active problem-solving in the classroom rising from an initial average of 14 to 26. Additionally, the average final grades of the experimental group exceeded those of the control group by 7.63 points. The average comprehensive competence score also showed a substantial enhancement, registering at 0.447, indicating a marked improvement in overall student performance.
Intelligent Teaching Model Construction of Chinese Language and Culture Courses in Higher Education
Authors: Chai Yu 
Published: June 2024

Abstract
The development of Internet technology injects intelligent elements into Chinese language and literature education in Chinese universities. This paper will rely on the algorithms and models of Internet technology to create a new smart mode for Chinese language and literature education in Chinese universities. In terms of intelligent teaching, this paper adopts data mining and Web network technology to build two functional modules of online and offline processing and designs a user interest model based on multiple factors in offline analysis to further analyze the user behavior pattern so as to provide more accurate teaching support for teachers and students studying Chinese language and literature. In terms of teaching resource library design, this paper describes the process of teaching resource association based on knowledge points and, at the same time, solves the problem of manual entry in the traditional association method based on BERT text semantic encoding technology. The model can also recommend personalized teaching resources to users through the ITR model based on feature fusion. Comparative analysis indicates that the ITS model in this paper has a 6.24% increase in AUC value over the SKAT model, which is the next most effective model. The MAE values of the ITR teaching resource recommendation algorithm used in this paper on the data set with a training set ratio of 75% are 0.36, 0.40, 0.37, and 0.37, respectively, and the recommendation effect is significantly better than that of other algorithms in comparison. The inclusion of intelligent elements will promote the further development of Chinese language and literature education in Chinese universities.
Multi-objective optimization model-based training program development for athletes in college physical education
Authors: Guan Di , Wang Zhou 
Published: June 2024

Abstract
Digital technology has been used in a large number of applications in all aspects of life and various fields. In the field of sports, digital training has been increasingly emphasized by frontline coaches, athletes, and sports researchers. In this paper, by building an objective optimization model, combining particle swarm optimization, and optimizing the computation process with the Kriging agent model, we formulate the most suitable training plan for college athletes and improve the scientific level of college athletes’ training. The multi-objective optimization training plan can accurately enhance the athletes’ physical fitness, physical quality, and sports skills, and the IRM and maximal power of bench press and half squat showed an increasing trend after the training. The body composition (body fat) and longitudinal jump (lower limb explosive power) improved to a certain extent before and after the training. There were significant differences in the sports skill evaluation of the 50-meter run and the three-stage continuous frog jump; the p-value was less than 0.05. The p-values were all less than 0.05. The scientific and practicality of the training program for college athletes based on the multi-objective optimization model is confirmed when the value falls below 0.05.
International Migration from a Semi-Periphery City: The Case of Baia Mare
Authors: Solonean Dana 
Published: June 2024

Abstract
Many post-socialist cities in Romania experience population decline caused by both negative natural growth and large-scale international migration. This study seeks to advance an understanding of post-socialist migratory flows from the city of Baia Mare to Western labour markets in terms of its mode of incorporation into the global economy. Using a historical structural lens, the study traces the critical economic transformations, political moments or institutions that influenced migratory flows from Baia Mare. It argues that from its semi-peripheral position, the city’s role, after the regime change, became that of a supplier of cheap labour to Western Europe and a location for low added value industries. Despite its rapid economic growth due to reindustrialisation and its success in attracting relatively large shares of immigrants, its native urban population continues to decrease. The developing manufacturing industry specialised in intensive, low-paid, manual labour automatically excludes more educated and qualified labourers who continue to resort to international migration in order to survive or to improve the quality of their lives.
Educação do Campo em Assenta MentoS da Reforma Agrária
Authors: Finokiet Manuela , Conti Irio Luiz , Bazotti Angelita , Machado Carmen Janaina Batista 
Published: June 2024

Este artigo discute a contribuição da Educação do campo na valorização de assentados da reforma agrária que trabalham na agricultura familiar. Há experiências significativas sobre o papel da educação e da escola, entre elas asexperiências de Educação do campo, emergidas recentemente a partir de demandas dos movimentos sociais, principalmente do Movimento dos Trabalhadores Rurais Sem Terra (MST). Desse modo, os principais protagonistas da Educação do campo são os próprios movimentos sociais de luta pela reforma agrária. É nesse contexto que se insere a Escola Estadual de Ensino Fundamental Orestes Paiva Coutinho, localizada no Distrito de Armada, município de Canguçu, Rio Grande do Sul, a qual conta com 16 assentamentos de reforma agrária. A escola atende alunos do1º ao 5º ano, oriundos dos assentamentos do entorno e empreende esforços para desenvolver práticas pedagógicas inseridas na realidade dos alunos, conjugando as dimensões teórica e prática, com estímulo ao resgate de sementes crioulas, hortas escolares, dias de campo com as famílias, educação socioambiental e outras que incentivam modos de vida saudáveis às pessoas em seus lugares de vida na agricultura familiar.
Short-term feeding of high-fat diet induces neuroinflammation and oxidative stress in arcuate nucleus in rats
Authors: Netam Ritesh Kumar 
Published: June 2024

Objectives:
This study aimed to compare the effects of high-fat diet-induced neuroinflammation and oxidative stress in the arcuate nucleus (ARC) of obese-prone and obese-resistant rats.

Materials and Methods:
Rats were divided into obese-prone and obese-resistant groups based on their initial body weight. They were then fed either a 5% or 60% fat-containing diet. In the ARC, the expression of inflammatory markers [Interleukin (IL-6); Nuclear Factor Kappa-B Inhibitor Alpha (NFKBIA); Cluster of Differentiation (CD)-66; and mucin-like hormone receptor-like 1 (EMR-1)], as well as levels of reactive oxygen species (ROS) and antioxidant enzymes (glutathione and glutathione peroxidase and superoxide dismutase), was assessed along with body weight, blood glucose, Homeostatic Model Assessment for Insulin Resistance, plasma insulin and plasma leptin levels after ten days of intervention.

Results:
The results showed a significantly higher expression of inflammatory markers in the ARC of high-fat diet-induced obese rats after ten days. Body weight, plasma insulin, plasma leptin and hydrogen peroxide production were also significantly higher in obese-prone rats fed a high-fat diet.

Conclusion:
In conclusion, this study demonstrates that short-term consumption of a high-fat diet can lead to hypothalamic inflammation and ROS production in the ARC of rats. Obese-prone rats exhibited hyperinsulinaemia and hyperleptinaemia after short-term high-fat diet consumption.
PENGARUH LINGKUNGAN KERJA DAN BEBAN KERJA TERHADAP KINERJA TENAGA MEDIS RUMAH SAKIT BHAYANGKARA TK III AMBON
Authors: Magfirah Nurul , Risambessy Monica Sara 
Published: June 2024

Penelitian ini bertujuan untuk mengetahui dan menganalisis pengaruh Lingkungan Kerja dan Beban Kerja Terhadap Kinerja Tenaga Medis Rumah Sakit Bhayangkara TK III Ambon. Penelitian ini termasuk pada penelitian kuantitatif sebab pendekatan yang digunakan untuk usulan penelitian, proses, hipotesis, turun ke lapangan, analisis data, kesimpulan data sampai dengan penulisannya menggunakan aspek pengukuran, perhitungan, rumus dan kepastian data numerik. Subyek penelitian adalah Tenaga Medis Rumah Sakit Bhayangkara TK III Ambon. Pada penelitian ini sampelnya adalah Tenaga Medis Rumah Sakit Bhayangkara TK III Ambon yang berjumlah 66 orang. Data diolah menggunakan aplikasi SPSS. Hasil penelitian menunjukkan bahwa variabel Lingkungan Kerja menunjukkan terdapat pengaruh positif dan signifikan terhadap kinerja tenaga medis Rumah Sakit TK-III Bhayangkara Ambon dan variabel Beban Kerja menunjukkan terdapat pengaruh positif dan signifikan terhadap kinerja tenaga medis Rumah Sakit TK-III Bhayangkara Ambon
IMPERATIVE SENTENCE TO INDONESIAN LEARNERS THROUGH TOTAL PHYSICAL RESPONSE (TPR) METHOD
Authors: Ali Sulpadli , Dj Muhammad Zuhri , Musfirah Musfirah 
Published: June 2024

The teachers are expected to be able to create an interesting and appropriate technique, learning style and method in EFL classroom. A study entitled Teaching Imperative Sentence Through TPR Method at the eighth grade learners of Ma’had Al-Junaidiyah Biru especially to young learner is aim to elaborate how the researchers him self applied TPR method in teaching imperative sentence. This study employed a qualitative method and was conducted in one of Islamic boarding school in Bone. The eighth grade learners were the subject of this study. To obtain the data a classroom observation and interview both the English teacher and the eighth learners were conducted. The findings revealed that the researchers applied three steps of TPR method they are; pre-teaching, whilst-teaching and post-teaching. The researches gave some commands and instructions based on the topic of each meeting for three-time meetings the learners responded physically as instructed. Moreover, they gave appropriate responses and fully enthusiasm to the researchers’ instructions. Additionally, the researchers provided some games and physical moves that young learners like for each meeting in order to support the TPR method so the learners will be more interested and enjoyable the EFL classroom situation and it is able to motivate the learners to learn English vocabulary.Keywords: Indonesian young learners, physical moves, TPR method, vocabulary
CARACTERIZAÇÃO SOCIODEMOGRÁFICA E CLÍNICA DE PACIENTES EM PÓS-OPERATÓRIO DE ESTOMIA INTESTINAL DE ELIMINAÇÃO
Authors: Gomes Eduardo da Silva , Sodré Simon Bruna , Dalmolin Angélica , Machado Druzian Jonatan , Boeck dos Santos Evelyn , Oliveira Girardon-Perlini Nara Marilene 
Published: June 2024

Introdução: informações oficiais acerca do perfil de pacientes com estomia intestinal são indisponíveis, uma vez que essa constitui-se em uma consequência terapêutica e não um diagnóstico, não havendo obrigatoriedade de notificação. Assim, identifica-se uma lacuna em relação a caracterização do perfil sociodemográfico e clínico dessas pessoas. Objetivo: caracterizar o perfil sociodemográfico e clínico de pacientes em pós-operatório de estomia intestinal de eliminação. Método: estudo descritivo, retrospectivo, quantitativo, desenvolvido com dados de prontuários de pacientes adultos internados em uma unidade cirúrgica de um Hospital Universitário do Sul do Brasil. Foram revisados 143 prontuários, sendo que 57 atenderam os critérios de seleção. Os dados foram coletados entre abril e outubro de 2021 por meio de um instrumento impresso, sendo analisados por meio da estatística descritiva no Software Statistical Package for the Social Sciences versão 21.0. Resultados: os pacientes eram em sua maioria do sexo masculino 29 (50,75%), da raça branca 53 (93%), aposentados 25 (43,5%), com ensino fundamental incompleto 45 (79%), foram submetidos à confecção de colostomia 48 (84,25%), em decorrencia de neoplasia colorretal 32 (56,5%), passaram uma mediana de 9 (6-20) dias internados, não desenvolveram complicações 46 (80,75%) e tiveram alta hospitalar 45 (79%). Conclusões: os pacientes em pós-operatório de estomia intestinal de eliminação são homens, brancos, aposentados e com baixo nível de escolaridade. A maioria foi submetido a confecção de estomia no intestino grosso devido a neoplasia colorretal, permaneceram internados uma mediana de nove dias e tiveram como desfecho clínico a alta hospitalar.