bluuebunny/crossref_metadata_2025_split huggingface dataset:
RETRACTED: Research on Network Teaching of Music Major Based on Artificial Intelligence Technology
Authors: Lei Du 
Published: October 2020

Abstract
With the penetration of artificial intelligence technology in the field of music, the demand and training of music professionals have changed. The mode of network teaching also occupies an important position in the training of music major. Based on the background of artificial intelligence technology, this paper explores the teaching mode of music major, and puts forward the reform and innovation strategy of music professional network teaching mode under the background of artificial intelligence technology. This paper starts with the introduction of artificial intelligence and its application in the field of music teaching, analyzes the influence of network teaching mode of Music Major under the background of artificial intelligence, and puts forward the Talent Cultivation Countermeasures of Music Major under the network teaching mode. This paper studies the status quo of music teaching in conservatory of music, characteristics of network teaching mode and platform construction. With the continuous enrichment of music professional network teaching resources, this new teaching mode can reflect its advantages and efficiency advantages. Starting from the influence of artificial intelligence technology on Music Majors at present, this paper analyzes that the best teaching effect can be obtained by using multimedia network teaching in teaching, and puts forward the practical application method of artificial intelligence technology in music professional network teaching under modern network conditions. The experimental results show that we should constantly improve the function research of the network teaching platform of Music Major Based on artificial intelligence technology, and carry out more optimized settings combined with music professional courses, so that teachers and students can obtain the best use effect, and ensure the smooth progress of music professional network teaching mode.
RETRACTED: Early warning expert decision system of water resource management based on Cloud Computing
Authors: Li Ning 
Published: October 2020

Abstract
In order to solve various problems caused by the lack of timely warning in water resources management, based on the current water resources informatization, an early warning expert decision-making system for water resources management based on cloud computing architecture is proposed. The system collects real-time data through the Internet of things interface layer, uses Web GIS to display geographic information and Ajax (asynchronous Javascript + XML) asynchronous interactive processing mode to speed up the response speed. Finally, an early-warning expert decision system for water resource management based on the cloud computing architecture is realized, which can monitor both the command center and the mobile terminal at the same time.
Development Status and Trend of Indoor VR Technology Design Under the Background of Big Data
Authors: Zou Zibo 
Published: October 2020

Abstract
With the development of economy and society, virtual reality technology has been paid more and more attention and gradually applied to all walks of life. Due to its interactive, immersive and real-time nature, virtual reality has a broad prospect in the field of architecture, especially in interior decoration and design. The use of virtual reality interior design allows designers and users to experience effect of what they see is what they get, but also allows users to feel as if they are in the design of the virtual scene, immersive mood. The purpose of this paper is to study the development status and trend of indoor VR technology design under the background of big data. After reviewing the development background of virtual reality technology and its application status in interior design, this paper introduces the technology related to big data, studies the global lighting rendering technology, and then analyzes the interior design system based on big data and VR technology. The experimental results show that the interior design system designed in this paper is accurate. By comparing the detection results of the digital model with the real results, the error of the digital model is not more than 0.5.
RETRACTED: Research on the Sharing of Book Information Resources from the Perspective of Sharing Economy
Authors: Chen Ying , Luo Cheng 
Published: October 2020

Abstract
With the continuous improvement of the level of Internet technology and intelligent mobile terminal equipment, the sharing economy has been spawned, the sharing and utilization of information resources has been realized, the value of book resources has been maximized, and more convenient services have been provided to readers. Research on shared book information and shared book resources from the perspective of the current sharing economy. From the perspective of sharing economy, this paper adopts the methods of big data analysis and data mining to statistically organize the book information resources from the perspective of sharing economy. Selecting H University and the library as the research object, starting from the perspective of book information resource sharing and using a comparative analysis method to understand the main problems facing its book information resource sharing, and finally put forward a targeted and feasible resource sharing strategy. Finally, the literature research method is used to understand the research plan of the sharing of domestic and foreign related book information resources. Experimental research results show that the library information resource sharing system can realize the free matching of knowledge supply and demand and form several communities based on knowledge needs. In a mobile environment, the integrated access of mobile book information APP can better share resources.
Analysis of the Impact of E-Commerce on Industrial Manufacturing Based on Big Data
Authors: Li Bin 
Published: October 2020

Abstract
With the rapid development of Internet technology, e-commerce has become a new marketing channel in today’s society, and has penetrated into various industry fields, ushered in a new round of marketing model changes. This article aims to analyze the impact of e-commerce on industrial manufacturing based on the background of big data, with a view to providing a little help for manufacturing companies to better play the role of e-commerce. This article conducted a questionnaire survey on some manufacturing enterprises operating in e-commerce in our province, and found that 81.08% of enterprises believe that e-commerce provides a convenient communication platform for enterprises and expands the sales market; 56.76% of enterprises believe that e-commerce has led to vicious competition in the manufacturing industry, and put forward strategies to promote e-commerce. In order to provide a little help for enterprises to further better play the role of e-commerce to enterprises.
Computer Network Security Analysis Modeling Based on Spatio-temporal Characteristics and Deep Learning Algorithm
Authors: Wu Lihua , Deng Tian 
Published: October 2020

Abstract
With the computer network in the industry, business, politics, finance, military and other social fields in the application of more and more extensive, the society on the computer network is also more and more dependent. However, because of its wide area distribution, heterogeneity and dynamic characteristics, computer network is very vulnerable to security threats from various aspects. In order to better maintain computer network security, this paper studies computer network security analysis modeling based on space-time characteristics and deep learning algorithm. First of all, this article through to the computer network security connotation and the present situation analysis, points out the main problems of network security model, and thus build a combination of deep learning algorithm, a simulation model of network security analysis results show that the intercept network attack rate increased by 32.12% than that of the traditional model, verify the validity of the model. Through the construction of the model, it is expected to contribute to the improvement of computer network security analysis.
Ideological and Political Teaching Reform of Computer Network Course Based on Thinking Innovation
Authors: Zhou Jia 
Published: October 2020

Abstract
With the continuous development of computer technology, in the teaching of computer network courses, colleges and universities must constantly change the way of thinking, actively use scientific thinking and innovative ways, update the teaching content of computer network courses, continuously improve the relevant teaching system and break through the traditional Teaching restrictions. The purpose of this article is to study the reform direction and research direction of ideological and political teaching of computer network courses under innovative ideas. This article takes computer science students from the Polytechnic University as the research object, and conducts investigation and research on the basis of relevant practical ideological and political teaching background and theory. The reform method and strategy of ideological and political teaching in computer network courses, on this basis, put forward the reform path and development direction of ideological and political teaching in network courses. The experimental results show that in the era of "mass entrepreneurship and large-scale innovation", it is necessary to reform the teaching content and methods of computer network courses on the basis of cultivating students’ innovative practical ability, in order to achieve a seamless connection between the two and integrate ideology and politics Under the computer network teaching model.
An Analysis of the Role of Learning Theory in Educational Psychology in Teaching English
Authors: Hao Huihui 
Published: October 2020

AbstractWith the continuous development of the times, the form of education, teaching and research is also constantly innovating, and the learning theory in educational psychology is increasingly valued by English teaching and research personnel and English teachers. The purpose of this article is to study and analyze the teaching theory of educational psychology to English teaching and its effect. This article is from the perspective of English teaching guidance at the University, based on relevant research backgrounds and theories to promote the analysis of the role of learning theory in educational psychology to English education guidance. This article selects 100 English major students from the University, which are divided into experimental teaching classes (N=50) and comparative teaching classes (N=50) for practical teaching. The same English teacher is used for a week of practical teaching. Use questionnaires to get results and study its guiding role and methods. Experimental research results show that, in order to give full play to one’s talents and potentials in teaching and learning, one must follow the laws of human psychology and educational development. Therefore, the influence of psychology and pedagogy on English teaching cannot be ignored.
System design object-based multi-agent network storage (OBMA-MNSS)
Authors: Xing Lipeng , Zheng Kouquan , Wu Bei 
Published: October 2020

Abstract
Information superiority is the key to ensure the success of information construction, and information storage system is the basis to obtain information superiority. Based on the analysis of the statistical methods of network value evaluation and the influence of storage system networking on information construction, according to the demand of information construction for data storage application, combined with the latest development of storage technology, an object-based multi-agent military network storage system is proposed. The design goal, design idea and prototype design of the system are given.
Employee Training System of Manufacturing Enterprises for Implementing Industry 4.0
Authors: Liu Chunzhao , Liu Xinyi 
Published: October 2020

Abstract
Enterprises will be more flexible to organize production, more agile to meet individual customer custom in the age of Industry 4.0, which requires the manufacturing enterprise training must comply with the trend and reform soon. Through investigating different types of manufacturing enterprises, and analyzing typical case, manufacturing enterprises should analyze the main problems existing in the training system based on Industry 4.0. The research shows that the orientation of staff training will focus on Intellectualization, the professional ability of employees will be transferred from a single structure to a compound structure structural transformation, staff training will be promoted from single ability to compound ability, the improvement of employees’ innovation ability will be the core of training the heart demands, lifelong education will be the core of the enterprise staff training system. The paper puts forward countermeasures and suggestions on employee training from training needs analysis, training plan, training courses, training teachers, training organization and implementation, training effect evaluation, training support, training achievement transformation.
Fuzzy Computation of Solar Hybrid Electric Vehicle
Authors: Xu Renbo , Zhang Wanrong , Nie Zongsheng 
Published: October 2020

Abstract
Energy crisis and environment pollution are big problems today’s wold faced, if we can combine the solar energy and traditional engine to be mixture type power E-vehicle, this will have important meanings to solve the faced energy crisis and environment pollution. This article briefly design the drive system of the solar energy mixture power E-vehicle, and process the key analyse it’s control strategy, propose one change structure vague control system, reach up to the related requirements.
RETRACTED: Enlightenment of Marx Community Thought Based on Big Data Analysis to Solving China’s Real Social Problems
Authors: Zheng Yiteng 
Published: October 2020

Abstract
Marx’s "community" thought is an important part of Marxist theory and an important theoretical result of Marx’s research on the development process of human history. This article attempts to study the thought of Marx’s community, so that we can more accurately and completely grasp this scientific theory, combined with the development of China’s socialist cause, to analyze the practical problems of the development of contemporary China, and to try to increase the total social members’ Cognition of the thought of the community, and at the same time, analyze the realistic problems facing the world’s development according to Marx’s thought of the community, and strive to build China into a prosperous, strong, democratic, civilized, and harmonious socialist modern power. The Marxist community thought was systematically combed in a way that followed the unity of history and logic, so that this thought was completely presented.
The Development Direction of Industrial Internet of Things based on 5G Communication
Authors: Mo Xiaojin 
Published: October 2020

Abstract
The characteristics of 5G communication system, such as ultra-high data rate, ultra-high link capacity and ultra-low delay, are very important for the development of industrial Internet of things. The information security problem of industrial Internet of things based on 5G communication system has become a major challenge in its development process. In order to protect the industrial Internet of things system from the harm of network attack, this paper studies the information security protection technology of the industrial Internet of things under the background of 5Gcommunication, designs and realizes the security protection strategy for the industrial Internet of things based on the analysis of the security of the industrial Internet of things based on 5G communication. The experimental results show that the industrial Internet of things classification model proposed in this paper can quickly detect the attacks and make protective responses.
Self-assessment of chemistry laboratory basic skills using performance scoring rubrics at the chemistry teacher training
Authors: Sudria I B N , Redhana I W , Suja I W , Suardana I N 
Published: October 2020

Abstract
This student self-assessment of chemistry laboratory basic skill performances is intended to overcome the heavy time-consuming and very intensive involvement of lecturer as the only performance assessor, promote and accelerate the skill improvement based on learner self-performance assessment. The study involved 26 students undertaking Basic Chemistry subject at Chemistry Education Department of Universitas Pendidikan Ganesha in Bali. The self-assessment applied the scoring rubric developed by Sudria and Sya’ban. Each item of the 22 assessment items applies five-scaled grading performance indicators as very good, good, sufficient, poor, and very poor. Every skill item was assessed at least three time along the semester and analyzed twice namely at the middle of the semester as data S1 and near the end of the semester as data S2. The same performance assessment was also conducted by a lecturer team as the laboratory work examination at the end of the course as reference data of S3. This study showed significant correlation of S1 and S2 toward S3 with score correlation amounts of 0.520 for r1-3 and 0.588 for r2-3 which were above the critical value of 0.374 at 95% confidence. Guidance and monitoring during laboratory work supported to the success of the self-assessment study.
The addition effect of Pseudomonas aeruginosa on biodegradation of methyl orange dye by brown-rot fungus Fomitopsis pinicola
Authors: Purnomo A S , Rahayu D M , Nawfa R , Putra S R 
Published: October 2020

Abstract
The addition effect of Pseudomonas aeruginosa on methyl orange (MO) biodecolorization by Fomitopsis pinicola had been investigated. P. aeruginosa was added into F. pinicola culture at 2, 4, 6, 8, 10 mL (1 mL × 5.05 χ 1012 CFU). The addition of 4 ml of P. aeruginosa showed the highest MO biodecolorization approximately 99.53%, while by F. pinicola only was 77.22% in potato dextrose broth (PDB) medium for 7 days incubation. Four metabolites were detected from MO degradation by mixed cultures such as 4-(4-(dimethylimino) hydroxy-cyclohexa-2,5-dien-1-ylidene) hydrazinyl) phenolate; 4-(hydroxy-4-iminio-cyclohexa-2,5-dien-1-ylidene) hydrazinyl) benzene sulfonate; 4-(4-(dimethylimino) methoxy-cyclohexa-2,5-dien-1-ylidene) hydrazinyl) hydroxy-benzene sulfonate; and 4-(hydroxy-4-iminio-cyclohexa-2,5-dien-1-ylidene) hydrazinil) hidroxy-benzene sulfonate. The mixed cultures transformed MO via three pathways: (1) desulfonylation, (2) demethylation, and (3) hydroxylation. These results indicated that P. aeruginosa can enhance MO biodecolorization by F. pinicola.
Polyelectrolyte Complex (PEC) film based on chitosan as potential edible films and their antibacterial activity test
Authors: Ismillayli N , Andayani I G A S , Honiar R , Mariana B , Sanjaya R K , Hermanto D 
Published: October 2020

Abstract
The synthesis of polyelectrolyte complexes (PEC) based on chitosan and determination of their antibacterial properties had been conducted. The microstructure of PECs obtained were described by SEM analysis, while inhibition activity of PECs against S. aureus and E. coli was determined by measuring inhibitory zone diameter. Characteristics of chitosan, alginate and κ-carrageenan as natural polymers which non-toxic, biodagradable and safe to eat meet the edible film criteria. Chitosan as a polycationic interacts with alginate and κ-carrageenan as polyanionic under the appropriate conditions to form PEC film. Based on FTIR spectra, it was found that interaction of chitosan and alginate as well as chitosan and κ-carrageenan was an electrostatic interaction. Microstructure study using SEM found that PECs have irregular and fibrous surface structure. Based on their inhibitory activity against S. aureus and E. coli, PECs have the strongest antibacterial activity compared to their original polymer. Therefore, PECs film could be excellent edible film for food coating that protect product from bacterial contamination.
Response surface methodology optimization of Congo Red dye adsorption onto MnFe-LDH adsorbent
Authors: Tan L V , Tham N T H , Sy D T 
Published: October 2020

Abstract
This study was carried out to optimize the adsorption process toward Congo Red (CR) dye over Mn-Fe LDH material in aqueous media. The effects of three variables including initial concentration, pH and reaction time were investigated with respect to maximal CR removal efficiency by utilizing response surface methodology (RSM). Through the variance of ANOVA, the second-order polynomial model was established in accordance with experimental data with high R2 values (R2=0.997), large F-value and small p-value, indicating that the proposed model is statistically significant. The estimated optimal conditions were validated by confirmation experiments. It was revealed that CR adsorption efficiency reached 53.21% at following optimal conditions: Ci = 48.09 mg/L; pH = 5.62; reaction time = 107 min. These results show that Mn-Fe LDH is used as an effective adsorbent for the removal of organic pigments in aqueous solution.
Identification and simulation model of mixed solutions of diethanolamine (DEA) and methyl diethanolamine (MDEA) for removal of acid gases
Authors: Febriantini D , Pebriani S , Usman  , Purnomo B , Rianto A K , Nugraha A S , Khoirunnisa N 
Published: October 2020

Abstract
Acid gases are often found in industrial and crude natural gas and represent technological problems to the environment and bad effect to the human health. The high-energy demand and processing restrictions make the amine absorption operation sensitive to any change in conditions. The mixture of diethanolamine (DEA) and methyl diethanolamine (MDEA) was developed as the removal of acid gases. The physical properties and the characteristics of the mixture were examined using FTIR, TGA and SEM-EDS and were described in this work. The HYSYS program were conducted in this work to reasonably predict removal amounts of acid gases from natural gas using the mixture diethanolamine (DEA) and methyl diethanolamine (MDEA) mixture as absorbents based on the plant specifications data from PT Pertamina (Persero)’s refinery unit. The correlations between the characteristics of the mixture and simulation model were revealed. The model predictions were in excellent agreement with the experimental data and the results were useful to represent the acid gas absorption process using alkanolamine solutions.
Synthesis and characterizations of C-3-Nitrophenylcalix[4]resorcinarene as a potential chemosensor for La(III) ions
Authors: Priyangga K T A , Kurniawan Y S , Yuliati L 
Published: October 2020

Abstract
C-3-nitrophenylcalix[4]resorcinarene (calix-3NO2) is a macrocyclic compound with phenolic and nitrobenzene moieties and thus, promising to make a stable complex with a certain metal ion. Due to their high economic value for advanced materials, the detection of rare earth metals such as La(III) ions gains significant attention. In this work, we employed the calix-3NO2 to establish a simple detection technique for La(III) ions using an ultraviolet (UV) spectrophotometer. The calix-3NO2 was obtained in 40% yield through a condensation reaction between resorcinol and 3-nitrobenzaldehyde in acidic condition. It was confirmed that the calix-3NO2 was able to detect La(III) ions in water:methanol media (4:1 v/v) by giving a significant additional peak at 268 nm due to charge transfer between ligand and metal ions. Furthermore, the calix-3NO2 had selectively bound to La(III) ions compared with other metal ions such as Al(III), Ba(II), Ca(II), Cu(II), Mg(II), Mn(II), Ni(II), Zn(II), K(I), and Na(I). These findings are important in the design of an organic probe used for sensitive detection of La(III) ions using a simple UV spectroscopic technique.