bluuebunny/crossref_metadata_2025_split huggingface dataset:
Construction Engineering Technology Specialty Group Construction in Big Data Age
Authors: Wei Aimin 
Published: August 2021

Abstract
As an important part of higher education, higher vocational colleges play an important role in cultivating talents needed in various industries. In addition to adapting to the local economic development, we should have our own characteristics, attract more students, and thus win the social reputation, which undoubtedly brings challenges to the construction of teachers’ team in higher vocational colleges. This paper takes the construction of construction engineering and technology specialty group in a university in our city as an example analysis of the construction of teachers in the construction of professional groups, and analyzes the problems and advantages of professional groups in the construction of teachers. Finally, it provides countermeasures for the team building of professional group teachers. Through analysis, we can see that the age distribution of teachers in this professional group is less than 20 people under 30 years old, accounting for 23.2%. The average education is satisfactory.
Role of Computer Technology in the Work of College Party Branches in the Information Age
Authors: Li Siyao , Wang Rui , Dong Yujing , Sun Maolin 
Published: August 2021

Abstract
The work of party branch in colleges and universities is an important part of our party’s construction and an important part of building a harmonious campus. The purpose of this article is to research and analyze the role of computer technology in the work of college party branches in the information age. This paper proposes to use the classic algorithm FP-growth algorithm for digital technology problems commonly used in computer technology. The FP-growth algorithm has the widest application range. It compresses the transaction database into an FP tree for processing. It also uses the Apriori algorithm, which eliminates the need to generate candidate frequent itemsets, which improves the efficiency of use [1]. In addition, this article uses the two core technologies of computer technology, data mining technology and data fusion technology, and their use strengthens the research of computer technology in the work of college party branches in the information age. With the use of high-precision algorithm processing of computer technology, problems can be accurately found and solved in the work of the party branch. Through the high precision of the FP-growth algorithm and the Apriori algorithm, the computer can simulate the problems that will occur in the construction problem in the construction of college party branches and give solutions in advance [2]. The experimental results show that the application of computer technology in the work of party branches in colleges and universities in the information age explored in this article is more recognized and liked by party branch workers. The efficiency of party branch workers has increased by about 90%, which is helpful for improving party building efficiency. Played a significant role.
Exploration of the New Teaching Form in the Perspective of Data-Intelligence Integration
Authors: Linghu Ke-Rui , Zhu Yuqun 
Published: August 2021

Abstract
Data and intelligence integration provides the new possibilities for the development of education in the future, which further empowers the innovation of teaching forms. This paper analyzes the new form of teaching under the integration of data and intelligence, and then puts forward some suggestions to promote the new form of teaching. The new form of teaching is supported by data and intelligence integration, which includes efficient learning, “double teacher” classroom and global interactive learning space, etc. In order to improve the new teaching effect under the data and intelligence integration, we can empower the new teaching forms from the three levels of school, teacher and student. In the future, we should further explore the development path of the new form of data intelligence integration teaching.
The Efficacy and Safety of Wuling Powder on Cirrhotic Ascites: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Authors: Chen Zhanke , Zhang Xiaodong , Feng Suxiang , Li Bing , Li Huan , Zhang Kang , Xu Jiangyan 
Published: August 2021

Abstract

Objective To evaluate the efficacy and safety in patients with cirrhotic ascites treated by Wuling Powder. Methods PubMed, Web of science, The Cochrane library, EMbase, CNKI, WAFANG, VIP and SinoMed database were searched. Randomized controlled studies of cirrhotic ascites were collected from the establishment of the database to February 20, 2020. EndNote was used for literature screening, RevMan 5.3 was used for data analysis, GRADEpro was used to evaluate the evidence quality. Results 11 studies with 1054 patients were analyzed, Meta-analysis: @@@2460;Total effective rate: The Wuling powder group was higher (P <0.01)). @@@2461; Liver function: The serum ALT, AST and TBIL in Wuling powder group were significantly lower (P <0.01), the ALB (Albumin) was significantly higher (P <0.05). @@@2462;The incidence of adverse events: There was no significant difference (P = 0.72>0.05). @@@2463; Recurrence rate: The Wuling powder group was lower (P <0.01). @@@2464; GRADE evaluation: The quality of evidence in the total effective rate, ALB index and incidence of adverse reactions was intermediate, the others were low or very low. Conclusions The Wuling powder combined with basic western medical treatment for cirrhotic ascites can significantly improve clinical efficiency, liver function and reduce recurrence rate, the adverse events were not obvious. However, due to the low quality of the included studies, it should be used with caution in the clinic.
Application of Industrial Robots in Automated Production Lines under the Background of Intelligent Manufacturing
Authors: Zhou Lianyang , Wang Fei , Wang Ningwei , Yuan Tongwen 
Published: August 2021

Abstract
Intelligent manufacturing is the theme and main direction of the “Made in China 2025” development strategy, and the application of industrial robots is an important direction of intelligent manufacturing. In the next few years, industrial robots will be widely used in various enterprises, which will inevitably require a large number of high-tech industries. Industrial robots are high-tech products of modern society and play an important role in the process of economic development, especially in the manufacturing industry. Industrial robot technology is widely used in automated production lines, so that industrial production efficiency can be greatly improved. Instead of manual labor to carry out various complex production and operations, to achieve industrial production automation. Analyze the application of industrial robots in automated production lines at this stage, and explore their future development directions, so that they can better serve the manufacturing industry. This article takes the industrial robots and PLCs in the industrial automation production line as the research object, and takes the automated production line for mass production of a product as an example. It explains the joint control scheme of the PLC controller and the industrial robot controller, and provides for the construction of joint control of similar production lines in the future.
RETRACTED: On the Monophthong Features of Cangzhou Dialect (Hebei Province) based on Acoustic Data Analysis in the Big Data Era
Authors: Yan Jinting , Gao Xiaotian 
Published: August 2021

Abstract
With reference to the acoustic data of seven first-level vowels in Mandarin Chinese, this paper examines the vowel characteristics of the 16 dialects in Cangzhou, Hebei, and summarizes the local and overall characteristics of the Monophthongs in the Cangzhou dialect based on a large amount of acoustic data. Through comparative analysis of the distribution of Monophthongs of various dialects in Cangzhou and their differences and similarities with Mandarin, we hope to enrich the dialect phonetic database and provide a reference basis for data support for the promotion of Mandarin Chinese.
Application of Search Engine Optimization in the College’s Official Website from the Perspective of Website Diagnosis
Authors: Feng Shaona , Wen Cui , Kong Lingjian 
Published: August 2021

Abstract
The official website is a window for the school to publicize and a “business card” that reflects the strength of running a school. Use relevant tools to diagnose the official website of Hainan College of Software Technology, and propose internal and external optimization suggestions to improve the website’s inclusion, ranking and traffic in search engines. This is of great significance for school brand building and website enrollment consultation.
Application of Ceramic Glaze Based on Big Data
Authors: Du Qinfen 
Published: August 2021

AbstractWith the popularization of the Internet and the rapid development of information technology, the types and quantities of data are increasing at an unprecedented rate. We are in an era of ever-increasing data penetration, and “big data” has arrived. Nowadays, all walks of life are using big data, and human production and life can no longer leave big data. It has been widely used in many fields, including large-scale hydropower and ceramic glaze. This article mainly introduces the literature reference research method, analytic hierarchy process and investigation research method. This paper uses the analytic hierarchy process to analyze the application of big data in ceramic glaze, and establishes a potential mathematical model. The model is solved by the analytic hierarchy process, and the application status of big data in ceramic glazes is studied, and the model is revised using historical data to improve the accuracy of the application status of big data in ceramic glazes. The experimental results of this paper show that the analytic hierarchy process increases the efficiency of the application research of big data in ceramic glazes by 13%, and reduces the rate of false alarms and false alarms. Finally, by comparing the application value analysis of big data in ceramic art glaze and the modernization demand analysis of ceramic art glaze, the influence of the application of big data in ceramic art glaze is systematically explained.
Application of Artificial Intelligence Technology in the Teaching of Mechanical Education Courses in Universities
Authors: Liu Honghua , Tan Wenping , Li Hongmei , Gong Jingzhong , Liu Xiangling 
Published: August 2021

Abstract
With the continuous innovation of artificial intelligence technology, the teaching level of mechanical education courses in colleges and universities is also constantly improving. In the context of the era of big data, the teaching of mechanical education courses in colleges and universities has become more intelligent and informatized. This article mainly introduces BP neural network method and hill climbing algorithm. This paper uses BP neural network method to analyze the application of artificial intelligence technology in the teaching of mechanical education courses in colleges and universities, and establishes a potential mathematical model of BP neural network method. The model is solved by BP neural network method, and the current situation analysis and application status of the teaching mode of mechanical education courses in colleges and universities are analyzed, and the model is revised using historical data to improve the application research of artificial intelligence technology in the teaching of mechanical education courses in colleges and universities Accuracy. The experimental results of this paper show that the BP neural network method has increased the effect of artificial intelligence technology in the teaching of mechanical education courses in colleges and universities by 33%. Finally, by comparing the value analysis of the application of artificial intelligence technology in the teaching of mechanical education courses in colleges and universities, and the data analysis of artificial intelligence technology in the teaching of mechanical education courses in colleges and universities, the system shows that artificial intelligence technology is used in mechanical education courses in universities. Application in teaching.
OTN Technology Development and Application in Metropolitan Electronic Power Network
Authors: Fan Chao , Yang Hongzhen , He Jiale , Zhao Jianpeng 
Published: August 2021

Abstract
Based on the relevant meaning, advantages and characteristics of the OTN technology, the OTN equipment can be applied in man, including the application in the convergence layer, in building circuit scheduling and CPRI interface circuit loading of the access layer. As a transmission network technology in the metropolitan electronic power, the OTN has a broad prospect in development and application in the future.
The Realization of Sports Intelligence Based on the Perspective of Students’ Physical Fitness
Authors: Zhang Lingzhi , Wen Meiling , Huang Jing 
Published: August 2021

Abstract
Intelligent technology is widely used in all aspects of life. The use of modern information technology to promote the development of sports intelligence to improve the physical health of students is an important way to reform school sports. As the development of school sports is facing problems such as insufficient attention and insufficient teachers, it is recommended to establish a dynamic monitoring system of student physique, school sports teaching and competition training management mechanism, construct a school sports culture network platform, and build a “cloud” by means of network technology such as big data. “Platform sports education new model and other paths to achieve the intelligent development of school sports.
Intelligent Diagnosis of Equipment Health Based on IOT and Operation Large Data Analysis
Authors: Tian Yingming , Gao Fan , Wu Peng 
Published: August 2021

Abstract
Predictive maintenance integrates equipment condition monitoring, fault diagnosis, fault prediction, maintenance decision support and maintenance activities. Intelligent manufacturing upgrades need to match the synchronous improvement of predictive maintenance capabilities, and predictive maintenance is the basic guarantee for enterprises to achieve intelligent manufacturing. Take the equipment condition monitoring and diagnosis system applicate in process industry as an example, this paper proposes IOT and operation big data analysis to equipment fault monitoring, diagnosis and preventive maintenance. Under the three-layer system framework of perception layer, network layer and application layer, machine learning algorithm is applied to carry out data mining on the equipment operation big data, establish expert knowledge base, obtain diagnosis rules, and realize the intelligent and efficient management mode integrating online monitoring, remote monitoring, remote diagnosis, fault matching and identification. Based on IOT and operation large data analysis, equipment health intelligent diagnosis provides the basic guarantee for equipment intelligent operation and maintenance, which helping enterprise establish new equipment management, maintenance, inspection and repair system under the concept of predictive maintenance and proactive maintenance.
The Importance of “Computer Aided Design” Course Reform in the Training of Applied Talents in Environmental Design
Authors: Wang Tao , Xu Dan 
Published: August 2021

Abstract
Based on the analysis of social needs and research results in recent years, the article takes social needs as the guide and problems as the entry point, and proposes the importance of computer-aided design for the training of applied talents in environmental design. With the development and promotion of computer software, the application of computer design software has become an important part of today’s environmental design field. In such a background, computer-aided design is particularly important in the process of training applied talents in environmental design. Therefore, in the construction of environmental design teaching system, the importance of computer-aided design courses to the training of environmental design applied talents should be clarified, and the computer-aided design course system should be built to continuously improve the professional level and application practice ability of students in environmental design major.
Synthesis and Characterization of a complex mixture based on cobalt and tin and study of its application towards production of hydrogen gas from ethanol
Authors: Samala Swapna , Brahma GouriSankhar , Swain Trilochan 
Published: August 2021

Abstract
The Cobalt complex, (Co-DMET) has been synthesized from the reaction between cobalt chloride hexahydrate and dimethoxy ethane (DME) in a 1:1 molar ratio and characterized using various measurement techniques. The structural formula of this complex derived based on characterization is [Co(DMET)2(H2O)2]Cl2. 4H2O. Dimethoxy ethane is an O-donating ligand able to coordinate in a chelate mode to the central metal cobalt to form the complex. The bidentate ligand is used to make the complex more stable. This complex was further mixed with the catalytic amount of SnO2 to obtain a complex mixture, (Co-DMET-Sn) and its application towards hydrogen production from ethanol at temperature 333 K was checked. Liberation of H2 gas is found to be maximum at 15 cc of ethanol when charged with 1: 0.1 molar ratios of cobalt-DMET complex and SnO2. This same cobalt-DMET-tin mixture was charged with various quantities of ethanol ranging from 5.0 cc to 50.0 cc at temperature 333 K. Amount of H2(g) liberated from ethanol was estimated to be 14.92 % using Gas Liquid Chromatography(GLC). The cobalt is used due to less expensive than the other metals such as Pt which is generally used for catalytic purpose. Crystallite size of the Cobalt-DMET-tin complex was found to be 23.4 nm.
Multi -Response optimization of Electric Discharge Machining (EDM) process parameter for Aluminum based Hybrid Metal Matrix Composite using GRA
Authors: shukla Saurabh , Singh D.K 
Published: August 2021

Abstract
Aluminum based hybrid metal composite (MMC) have been applied to many various applications in the area of automobiles and aerospace. This research article shows the multi-response optimization of EDM of process parameter for Aluminum based metal matrix hybrid composite (Aluminum 6061/Al2O/TiO2). The optimum process parameter of EDM as like pulse on time (Ton), current (Ip), duty cycle (t), voltage (V) on material removal rate and surface roughness were investigated. Hybrid Aluminum metal matrix composite was machined by using tool which is made of copper materials, of ϕ12 mm for experimentation. The mechanical stirring procedure is used to fabricate the hybrid MMC. The design of experiments was conduct through the Response Surface Methodology (RSM). The experimental result declares that the main influencing input parameter is current.
A systematic review on real time exhaust gas sensing system for on board sensing of harmful gases in IC engine
Authors: Bante S M , Karale S R , Awari G K 
Published: August 2021

Abstract
Air pollution causes detrimental effects on human health and the atmosphere. The emissions associated with transport represent a major component of aerial pollution. In recent years, air pollution is becoming a very important issue in India and around the World. Conventionally, the most popular dynamometer testing has been widely used to measure vehicle exhaust emission and these measured emissions have been used as primary data for modeling transport related air quality impact. However, during such conventional emission testing, real driving conditions are not strictly considered. Nowadays, real-time vehicle emission measurement is mainly focused by the most of the researchers for analysis purposes. In the present paper, the various real-time vehicle emission measuring technologies such as vehicle emission measurement by using RFID technology, emission measurement using gas sensor technology, emission measurement using gas sensor technology with the use of IoT and emission measurement using portable emission measurement system (PEMS) is discussed.
Article I.
The effects of micro and macro structure on electronic properties of bismuth oxyiodide thin films
Authors: Abdul-Manaf N A , Azmi A H , Fauzi F , Mohamed N S 
Published: August 2021

Abstract
Bismuth oxyiodide (BiOI) thin film was deposited using successive ionic layer adsorption and reaction (SILAR) technique under the same molar ratio of bismuth (III) nitrate pentahydrate (Bi(NO3)5H2O) and potassium iodide (KI). The effects of micro and macro structures due to the post-annealing treatment has been studied towards the improved electronic properties of BiOI films. BiOI thin film was perfectly coated without any cracks or pinholes. The as-deposited BiOI film displayed small flakes with flower shape microstructure. The flakes size has increased from ∼0.8 μm to ∼3.2 μm upon annealing at 350 °C, thenceforth shattered with increasing annealing temperature. BiOI films annealed at 350 °C showed a sharper band edge slope with an energy bandgap ∼1.61 eV compared to others annealing temperatures. The single crystalline BiOI film has transformed from tetragonal to tetragonal-orthorhombic polycrystalline with mix Bi5O7I3 and Bi7O9I3 phases after being annealed ≥450 °C. Electronic properties of BiOI were studied in terms of average resistance and conductivity measured using four-probe hall effect measurement. The conductivity value has reached the maximum for sample annealed at 350 °C, owing to the formation of ordered phase in material structure, higher crystallinity, larger flakes sizes, as well as reduction of defects and grain boundaries resistance. When the annealing temperature exceeded 450 °C, the electrical conductivity decreased due to the particle aggregation, sublimation of materials, formation of mix-phase and polycrystalline structure that generated grain boundaries and provided more resistance for electrons flow. The work has demonstrated a better understanding of material issues and some clues on the effect of the thickness, microstructure and structural properties on the electronic properties of BiOI thin film.
Microstructure and mechanical properties of moderate-speed extrudable Mg-Gd-Sm-Zr alloy
Authors: Bao Jian , Li Quanan , Chen Xiaoya , Zhang Qian , Chen Ziyi 
Published: August 2021

Abstract
Extrusion Mg-Gd based alloy has the excellent mechanical properties, but usually at the sacrifice of productivity. In this paper, we designed a Mg-10Gd-1Sm-0.5Zr alloy, and have successfully extruded it with a die-exit speed of 3.2 m min−1, and the extrudability is improved by indirect extrusion under differential-thermal condition. The microstructure and mechanical properties of as-extruded and peak-aged alloys were investigated in detail. The results indicate that as-extruded alloys exhibit the bimodal structure composed of dynamic recrystallized (DRXed) grains and UnDRXed grains with good ductility, and its elongation (El) is 14.3% at room temperature and 26.2% at 250 °C. Aging treatment remarkably enhance the strength of as-extruded alloy, and the peak-aged alloy exhibits ultimate tensile strength (UTS) of 345 MPa, yield strength (YS) of 287 MPa and EL of 6.3% at room temperature, and has UTS of 316 MPa, YS of 268 MPa, and EL of 7.8% at 250 °C. β′ precipitation strengthening, fine-grain strengthening, solution strengthening, texture strengthening have responsible for improving strength of peak-aged alloy.