bluuebunny/crossref_metadata_2025 huggingface dataset:
Smart Education — The Necessity And Prospect Of Big Data Mining And Artificial Intelligence Technology In Art Education
Authors: Wang Shan
Published: October 2020

smart education refers to a new education form and education mode relying on Internet technology, big data mining, artificial intelligence (AI) technology and mobile communication technology to realize online, platform, convenient, modular, accurate, and even mobile and fragmented learning knowledge and skills. This is a big trend. The education form of traditional art colleges is old-fashioned, conservative and lack of innovative means to adapt to it. It is imperative to improve the guidance, systematicness and convenience of art education curriculum by using new technology and new means. However, it is not very beneficial to simply transfer the curriculum and teaching materials under the offline learning mode to the Internet for all art students. Therefore, we put forward the concept and Prospect of "smart education". In short, smart education is the comprehensive development and utilization of online education platform, knowledge base, artificial intelligence (AI) and big data mining technology.
RETRACTED: The Construction of College English Ecological Teaching Mode in the Era of Big Data
Authors: Cai Xuan
Published: October 2020

The teaching mode in the era of big data is based on the accurate analysis of data to form an ecological teaching mode so that college students’English level has been greatly improved.This paper mainly introduces the construction of College English ecological teaching mode in the era of big data.In this paper,the formulation of precision teaching plan in precision teaching is transformed into an optimization problem,and the basic ideas to solve the problem are described.This paper focuses on the optimal design of teaching mode from the perspective of learning time to stimulate the students’motivation to learn English.In this paper,the reinforcement learning method Q-1 learning is used to solve this multi-stage dynamic decision-making problem and find the optimal decision-making function.According to the optimal decision-making function,a targeted teaching scheme can be given to students with any characteristics and behavior.The experimental results show that under the teaching mode of big data age,college students’English level has improved significantly,their English scores have increased by more than 25%,and their class efficiency has increased by more than 46%.The teaching mode of big data age is the trend of future development.
Application of Data Mining Technology in Portfolio Optimization
Authors: Hu GuoRong , Liu Hui
Published: October 2020

With the development of the times and the progress of society, the level of human science and technology is constantly improving. A large number of scientific and technological forces help us to work and study in our daily production and life. In this era of big data, data mining technology is a hot technology in the current era, and it can be found in many industries in many fields. People analyze and manage the information in our daily life through big data technology. But in this era of rapid development, the traditional big data information analysis and management ability can not meet the new needs of the new era, and the emergence of data mining technology can fully meet the needs of information data processing in the new era. In order to better study the portfolio optimization problem in this era of big data, this paper proposes a method of integrating data mining technology with portfolio optimization problem, and makes full use of data mining technology. In a large number of portfolio optimization problem data, the relevant data are accurately analyzed and efficiently managed, so as to reasonably optimize the portfolio Research. It is found that the method proposed in this paper is of great significance to the application of data mining technology in portfolio optimization.
Computer Vision Based on Computational Intelligence and Its Application Analysis
Authors: Huang Feiyu
Published: October 2020

Under the background of modern information technology intelligence, the comprehensive processing technology formed by the processing and calculation of information and data. The purpose of this paper is to analyze the vision application under the intelligent computer, and the computer and technology application based on intelligent integration is to scientifically design various computer sectors by expanding and extending the functions of the computer. The method used in this paper is based on face recognition in computer vision. First, image recognition is used as the image description, and then the feature points are used to extract the K-means clustering algorithm. The clustering algorithm is used to determine the k value of M., Then clustering can get M keywords, generate a classification model using the independent features of the histogram, and then use local and global visual features to extract computer vision recognition data with obstacles. Experimental research results show that computer vision is an important development direction of artificial intelligence, which uses cameras and computers instead of human eyes to perceive, recognize, track and measure targets, obtain three-dimensional information of corresponding scenes, and process captured pictures or videos.
Generation System of Dispatching Order Sheet for Distribution Network with Self Checking Function Based on Generative Countermeasure Network
Authors: Jie Huang , Qing Ge , Kuanhong Li , Yuxing Chen , Ling Ye
Published: October 2020

Although the recent wave of artificial intelligence research led by deep learning has achieved very good results in the field of supervised learning. Unsupervised learning, as a method that can truly allow computers to learn from unlabeled real data from the real world, can avoid tedious and unavoidable data labeling work in supervised learning. If you want a computer to better understand the complex real world, the best way is to let the computer generate a representation of the real world in a certain way. The first thing needed to accomplish the above goals is the generative model. The most outstanding performance in generative models in recent years is the variational autoencoder and generative confrontation network introduced in this article. As an extension of the autoencoder, the former is a good combination of deep learning ideas and statistical learning. The high-dimensional distribution of the image can be reduced through the encoder network, and then the decoder network can be used to achieve low-dimensional Data distribution automatically generates an image similar to the original image. Therefore, in the subsequent improvement, the researchers took the advantages of combining the variational autoencoder and the generative confrontation network. The experimental results show that this paper has jointly trained VAE and GAN and achieved good results. However, due to the inherent shortcomings of the original generative adversarial network, the combination of the two still cannot achieve very good results.
Research on IT Management and Service of Small and Medium Sized Libraries Based on Cloud Computing and Virtualization Technology
Authors: Kong Jie
Published: October 2020

At present, digital resources have become an important part of the collection resources of modern small and medium-sized libraries. As a new technology, cloud computing technology has been widely used in the field of small and medium-sized libraries, and has just begun to enter the vision of professional researchers. This paper studies the application of cloud computing and virtualization technology in IT management and service of small and medium-sized libraries. In order to better understand the application and help of cloud computing and virtualization technology in IT management and service of small and medium-sized libraries, this paper applies cloud computing and virtualization technology to it management and service in a university library, and then carries out a survey and statistics of the figure The library has developed a questionnaire to investigate the library staff and readers’ feelings about the application. The results show that under the support of cloud computing and virtualization technology, IT management and service for small and medium-sized libraries can significantly improve the management efficiency and service quality of libraries.
RETRACTED: Financial Risk Control of Sports Industry Based on Big Data
Authors: Lan Kaihui
Published: October 2020

With the widespread use of Internet big data, all walks of life are developing rapidly, among which the sports industry has also encountered new development opportunities and challenges. Based on the background of big data era, this paper studies the financial risk control of sports industry in the era of big data. This paper will first give readers a specific introduction to what is big data and let them know the main characteristics of the era of big data; then, it will analyze and further discuss the potential financial risks in the sports industry; finally, it will study the development of sports industry and how to control financial risks in the era of big data. In the analysis, this paper through the investigation of the development trend of the fitness industry, shows that there are risks in the fitness industry, and this risk is fatal to the fitness industry. Then, based on the background of big data, this paper puts forward corresponding suggestions on the risk control of the fitness industry, hoping that this study can provide certain reference for the healthy development of the fitness industry.
Computer Network Security Analysis Modeling Based on Deep Learning Algorithm
Authors: Li Yinxing
Published: October 2020

With the continuous development of human civilization and the continuous progress of computer technology, computer network has been widely used in our life, which has brought great convenience to people’s production and life. As the computer network plays an increasingly important role in daily life, the security of computer network has been paid more and more attention. Therefore, this paper studies the modeling of computer network security analysis based on deep learning algorithm. Starting from the types, levels and main problems of security needs, this paper analyzes the threats faced by the system equipment, access rights, and the main connection relationship, and makes a visual description of the network threats from the perspective of the purpose of the attack is to enhance higher permissions. The security analysis and modeling work is applied to the security fault tree method of computer system and the attack method of network information system. Through research and analysis, starting from the current state of computer network security, this paper deeply studies the analysis and modeling of computer network security, and realizes the evaluation of current computer network security. The accuracy rate of the proposed method for intrusion detection reaches 91.6%.
UAV Inspection Path Planning Based on Transmission Line Technology
Authors: Liu Wuneng , Liu Lilong , He Gengli , Li Peng
Published: October 2020

With the continuous progress of human society and the rapid development of economy, the power industry closely related to human production and life is also developing rapidly. Electric power industry is also playing an increasingly important role in the development of national economy. Subsequently, transmission security becomes more and more important. However, at present, the traditional single manual line inspection has the characteristics of high labor intensity, high safety risk, high safety risk, low operation efficiency, and many deficiencies seriously restrict the intelligent transformation of transmission line operation and maintenance. Therefore, this paper proposes a new transmission line detection scheme based on unmanned aerial vehicle (UAV) detection path planning. Transmission line detection system based on UAV and ground monitoring equipment basically meets the requirements of transmission line detection. It is found that the UAV based transmission line inspection work arrangement efficiency is higher, and the fault detection rate is higher. The accuracy rate of UAV line inspection method proposed in this paper reaches 93.7%, which can effectively reduce the workload of staff and improve the work efficiency.
Cloud Platform System for the Diagnosis of Typical Tea Plant Diseases Based on Neural Network
Authors: Yang Jian
Published: October 2020

Based on the analysis and investigation of the traditional artificial diagnosis of typical tea tree diseases, it was found that the artificial diagnosis had low efficiency and high error rate, so the typical tea tree diseases could not be caused by the timely and correct use of pesticides, thus reducing the yield of tea tree. Aiming at the above problems, this paper mainly studied the cloud platform system for the diagnosis of typical tea tree diseases based on neural network. This system is a typical tea tree disease intelligent diagnosis cloud platform system based on Java EE standard 3-layer B/S structure. The system realized the intelligent diagnosis of typical diseases of tea tree, as well as the maintenance and browsing of relevant knowledge information, so that users could consult the detailed information of diseases, and combined with the diagnosis results output by the system, take effective prevention measures, providing strong support for tea tree production. By testing the neural network, the average diagnostic accuracy of the four experiments is 83.5%. The experimental results show that it is feasible to use neural network to diagnose typical tea plant diseases.
The Training Mode of Individualized Music Teaching Talents in Universities Based on Big Data
Authors: Yang Ye Xiang
Published: October 2020

The Internet and big data have deeply penetrated into various fields, which has greatly affected and changed our music education. The purpose of this article is to explore the cultivation of personalized music teaching talents in universities based on big data, with a view to promoting the cultivation of personalized music talents in universities under big data. This article conducted a questionnaire survey on some students majoring in music in our sophomore and junior colleges. Through analysis, it can be concluded that 85.29% of the students believe that the school’s music teaching method is relatively traditional and the talent training model is backward; 74.51% of the students think that the school has neglected personalized training and still adopts the traditional "one size fits all" teaching model. Based on this, the recommendations for the cultivation of personalized music teaching talents in colleges and universities are put forward, which is expected to meet the personalized and diverse music learning needs of students and promote the cultivation of personalized music talents in my country.
Intelligent Multi-drive Inspection and Positioning Method for Water Environment of Cable Pipe Corridor Based on Artificial Intelligence
Authors: Zhou XueFeng , Zhao PeiFeng , Cheng Yuan
Published: October 2020

The running environment of underground power cables is hidden, and it is difficult to identify the cables in the parallel cable trench, which is not conducive to the rapid troubleshooting and accurate positioning of faults. However, the traditional manual inspection method has some defects, such as difficulty in finding, recording, low efficiency and inconvenient re-use of inspection information. Based on the above background, the purpose of this study is to explore the intelligent multi drive inspection and positioning method for water environment of cable pipe gallery based on artificial intelligence. Based on the analysis of the existing cable tunnel water environment inspection technology, this paper introduces the basic theory of machine vision and artificial intelligence to analyze the requirements of the water environment inspection and positioning method of the cable pipe gallery. Firstly, an intelligent multi drive inspection and positioning overall structure is designed. Secondly, aiming at the problem of unattended cable tunnel water environment inspection and navigation positioning, A monocular vision navigation scheme based on guide line is developed, which includes two parts: walking along the line and detecting the fixed point. Through the intelligent multi drive inspection and positioning method, the work efficiency of the water environment inspection of the cable tunnel is greatly improved. The reference error of the identification method is less than 1.8%. At the same time, the inspection data can be completely saved, which is conducive to the early warning of cable equipment defects and the analysis of the development trend, and the reliable and stable operation level of the field equipment and power grid of the cable tunnel is improved.
RETRACTED: Research on Network Teaching of Music Major Based on Artificial Intelligence Technology
Authors: Lei Du
Published: October 2020

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

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

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

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

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

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

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

With 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

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

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

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

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

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

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

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

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

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

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

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.
Synthesis and characterization of silver nanoparticles supported on highly ordered Biphenylene-Bridged Periodic Mesoporous Organosilica
Authors: Khikmah A M , Krisnandi Y K , Abdullah I
Published: October 2020

Biphenylene-Bridged Periodic Mesoporous Organosilica (Bph-PMO) has been successfully synthesized using sol-gel method in the presence of Octadecyltrimethylammonium bromide (ODTMABr) surfactant as a template. Furthermore, Bph-PMO has been functionalized using amine (NH2-Bph-PMO) in a two-step reaction, comprising nitration using HNO3 65% / H2SO4 96% and reduction with SnCl2 / HCl 37%. The white powder of Bph-PMO and the pale yellow powder of NH2-BPh-PMO were characterized using FTIR, XRD, and TEM. Bph-PMO and NH2-Bph-PMO showed long order periodicity between 2θ from 7.5-38.0 (7.5°, 14.9°, 22.5°, 30.1°, and 38.0°). The SEM images confirmed that all materials have uniform spherical morphology. Impregnation and reduction of silver nanoparticles in NH2-Bph-PMO have been carried out using AgNO3 as a precursor and NaBH4 as a reducing agent. The TEM characterization showed that the structure of NH2-Bph-PMO material is confirmed to have a hexagonal mesoporous structure with molecular periodicity. While in Ag/NH2-Bph-PMO has homogeneous particle size distribution of 240-280 nm. The crystalline size of silver nanoparticles on the surface of NH2-Bph-PMO calculated using the Debye-Scherrer equation is 8.05 nm. Nitrogen adsorption-desorption showed NH2-Bph-PMO and Ag/NH2-Bph-PMO were classified into mesoporous materials with pore diameters of 3.3 nm and 3.2 nm, respectively.
Sol-gel synthesis and photocatalytic activity of biomimetic calcium manganese oxide catalysts
Authors: Setyarini W , Nurhayati  , Dewi N , Anggraini R , Siregar S S , Amiruddin E , Awaluddin A
Published: October 2020

The water contaminations by dye residues are increasingly becoming serious concerns worldwide due to dye toxicity and persistent characteristics. Manganese oxide-based catalysts having similar structures with manganese compounds found in nature (biomimetic) have been considered as a very promising and effective photocatalyst for the degradation of organic pollutions in wastewater. This paper focuses on the synthesis of calcium manganese oxide catalysts from the octahedral layered birnessite-type manganese oxide and calcium carbonate via sol-gel method with citric acid as the complexing agent. The as-synthesized oxide was then tested as a photocatalyst for the degradation of methylene blue (MB) dye. The calcium manganese oxides prepared by the two different mole ratios of CaCO3/MnO2 resulted in the similar crystallinity and crystal phases but difference in the crystal sizes. The photocatalytic activities of the prepared calcium manganese oxides for the degradation of methylene blue are compared to that of the calcium manganese oxide prepared from tunnel cryptomelane-type manganese oxide. Both the calcium manganese oxides prepared from the different manganese oxide phases show the remarkable performance for the photocatalytic degradation of methylene blue after 10 minutes of reaction times. The birnessite-prepared calcium manganese oxide displays slightly higher photocatalytic performance than cryptomelane-prepared calcium manganese oxide.
Synthesis of indium sulfide photoanode, its characterization and application for degradation of methylene blue and methyl orange
Authors: Gunawan  , Haris A , Septina W
Published: October 2020

The researches on methylene blue (MB) and methyl orange (MO) destructions were carried out using indium sulfide (In2S3) photoanode in photoelectrocatalytic system. It consisted of In2S3 thin film as an anode synthesized by chemical bath deposition (CBD) on FTO and platinum as a cathode. Characterization with EDX showed the presence of In2S3 with a composition close to In2S3 for 10 min deposition. The In2S3 band gap measurement was obtained 2.49 eV. Photocurrent measurement revealed that In2S3 had n-type semiconductor property. The application of In2S3 thin film as photoanode in a photoelectrocatalytic cell for MB and MO treatments gave degradation’s yields ca. 71 and 55 %, respectively, under illumination with a 20 watt UV lamp, a bias voltage of 0.5 V for 150 min and with sample concentration of 25 mg/L.
The potency of Hibiscus tiliaceus leaves as antioxidant and anticancer agents via induction of apoptosis against MCF-7 cells
Authors: Andriani Y , Sababathy M , Amir H , Sarjono PR , Syamsumir DF , Sugiwati S , Kassim MNI
Published: October 2020

Hibiscus tiliaceus is one of the herbal medicines that have been used as traditional medicine for a long time. Antioxidant and anticancer potencies of this plant have reported by some researchers. However, there are no studies reported on antioxidant and anticancer potencies of H. tiliaceus leaves collected from Terengganu-Malaysia, especially against breast cancer cells (MCF-7). Different solvents in the extraction process and different sampling areas were chosen in this study compared to other studies. These could affect the chemicals content of H. tiliaeus leaves as well as on their bioactivities. Hence, the objectives of this study were to investigate the antioxidant and anticancer potencies of H. tiliaceus leaves from Terengganu, Malaysia, against MCF-7. The sample was extracted by solvent-solvent partitioning using hexane and ethyl acetate. Antioxidant and cytotoxicity properties were carried out by DPPH free radical scavenging activity and MTT, respectively. The morphological features were stained by Annexin-V/PI and DAPI. Results revealed that H. tiliaceus leaves exhibited strong DPPH free radical scavenging and cytotoxic activities against MCF-7. Morphological features showed the cells were put to death by both early and late apoptosis. Our results found that H. tiliaceus leaves have potency as antioxidant and anticancer agents against MCF-7 cells.