bluuebunny/crossref_metadata_2025_split huggingface dataset:
SPSS Statistical Software Analyses the Influence of Adoptive Persons of Preschool Children on Their Breakfast Behavior
Authors: Tan Fang , Zhang Hui , Zhao Xin , Zhang Jiaqiong , Yi Ruokun 
Published: January 2020

Abstract
Breakfast plays an important role in the health of preschool children, which can not be replaced by lunch and dinner. Breakfast quality will affect the nutritional intake and growth level of preschool children, and even more seriously, it will affect their cognition and learning. In order to improve the attention of the main adopters of preschool children to their breakfast behavior, this study mainly investigated the attitude, nutrition knowledge and breakfast behavior of the main adopters of preschool children about breakfast behavior of preschool children, and then used SPSS statistical software to analyze the collected data. The results showed that the breakfast behavior of preschool children was mainly influenced by their main adoptive persons. The main adoptive persons of preschool children neglect the education of breakfast behavior health of preschool children and the lack of knowledge of breakfast nutrition and health of the main adoptive persons themselves, which leads to the lack of high-quality breakfast nutrition for preschool children. Therefore, it is suggested that the main adopters of preschool children should have scientific knowledge of nutritional breakfast, actively cultivate the knowledge of nutritional breakfast and eating habits of preschool children, and develop good breakfast habits themselves to maintain the health of preschool children.
Researches on the Construction of the Smart Campus System with respect to the Higher Vocational Colleges in the Information Age—Taking Dalian Vocational and Technical College as an Example
Authors: Yuxia Song 
Published: January 2020

Abstract
This paper analyzes the foundation and feasibility analysis of the construction of the smart campus system in higher vocational colleges, such as Dalian Vocational and Technical College, in the information age, including the existing problems and deficiencies. It proposes the specific framework and concept of conceive for the smart campus from the four levels, the sensing and the network layer, the data analysis layer, the application and service layer and the security maintenance layer. The smart campus aims at serving the teachers and students of the higher vocational colleges and related school-enterprise cooperation enterprises. The construction of a smart campus has far-reaching guiding significance and practical value for higher vocational colleges.
Interpolation-based outlier detection for sparse, high dimensional data
Authors: Chen Wanghu , Tian Zhen , Zhang LiZhi 
Published: January 2020

Abstract
The clustering-based approach has always been an important research direction of outlier detection technology. The current detection approaches based on clustering of outliers are able to overcome the shortcoming of traditional test approach of outliers, however, most of the existing approach based on clustering to improve the choice of initial clustering center, this does not solve poor due to the sparse data clustering effect, and so cannot be radically improve the accuracy of detecting outliers. The data in the outlier detection problem can be regarded as a high degree of mixing between the normal point and the abnormal point. On the premise of reducing the loss of normal points, the set of outliers is the N samples farthest from the clustering center containing the most outliers. Inspired by this idea, an outlier detection approach based on genetic clustering for high-dimensional sparse data was proposed. By applying genetic algorithm based on traditional k-means, this approach processed the difference of original data and solved the problem of poor clustering effect caused by high-dimensional data sparsity. The experimental results show that compared with several improved k-means-based clustering approaches and outlier detection approaches, the proposed approach can reduce the loss of normal points and distinguish normal data and outlier more accurately.
Identifying the Effects of the Rational Drug Use System Im-plementation on Medical Quality
Authors: Guo Shanshan , Chen Shuqing , Du Wenchao , Sun Weiwei , Guo Xitong , Ju Xiaofeng 
Published: January 2020

Abstract
Irrational usage of drugs, such as the over usage or the inadequate usage of drugs and their misguided usage, is still an important problem plaguing the world’s healthcare industry. The Rational Drug Use System (RDUS) provides doctors and patients with the functions of drug usage monitoring, medical information consultation and prescription medication support. From a comprehensive perspective of both the doctors and patients, our study explores the influence of RDUS implementation on medical quality. We collected data from a large 3A-class hospital in China, including data from two-years before and after the implementation of the RDUS. Through empirical research, it was verified that the implementation of the RDUS can effectively improve the medical quality. Specifically, the results indicated that the severity of a disease and the degree of irrational drug usage in hospital departments both played a positive regulatory role in the influence of the RDUS on medical quality. The results render certain theoretical and practical implications for standardizing rational drug usage behavior and promoting the effective application of the RDUS.
The Application of Blockchain and its Advantage to the Field of Art
Authors: Ren Shuai 
Published: January 2020

Abstract
This paper describes the application of blockchain technology for the auction market of art and the means to use this technology to solve the problem of authority and the insufficiency of proper trading paths. Blockchain technology displays its usefulness in solving the unfavorable factors in the chaotic auction market include the uneven valuation of the auction items, lack of funds, and other areas. This study introduces blockchain technology as an innovative means to enhance the transparency of art auction.
Development Characteristics and Laws of Aging Studies
Authors: Liu Weixia 
Published: January 2020

Abstract
Aging studies involve multiple demography-dominated disciplines, such as economics, politics, geography, insurance. In this paper, a statistical analysis of aging studies on China National Knowledge Infrastructure (CNKI) from 1990 to 2015 was carried out based on bibliometric method. Research results are as follows: (1) the number of aging studies increased continuously in the fluctuation manner. (2) Journal studies still remained the major contributor. (3) The number of funded aging studies increased continuously, but the total proportion was still low (only 5.31%). (4) There were 40 authors who had published more than 5 articles. (5) The number of citations and the highest citations of single article changed in the same way. Specifically, Peng Du, Cangping Wu, Guangzong Mu and Xiangqun Jiang took the leading roles in the number and citations of articles.
Value of Telecom Operators’ Big Data in Social Public Management
Authors: Hong Ying , Li Zheng , Wang Jun 
Published: January 2020

Abstract
Big data is treated as the oil of 21st century, and can bring tremendous changes and opportunities to many industries. Telecom operators possess large amount of telecom data by nature with precious value. Based on telecom operators’ data features analysis, this paper highlights the value of big telecom data in social public management. Telecom big data can play an important role in the improving public management and public welfare, such as transport, public security, tourism, and disaster rescue. Besides, this paper presents a discussion about the implications of the telecom big data. This paper is expected to provide insights into the value development of telecom operators’ data based on big data.
Human activity recognition based on extreme learning machine in smart home
Authors: Chen Shangfeng , Fang Hongqing , Liu Zhijian 
Published: January 2020

Abstract
This paper applies extreme learning machine (ELM)to human activity recognition in smart home, evaluates the human activity recognition model established by ELM. Experimental results show that the accuracy of activity recognition of ELM model is related to the number of hidden layer units. Too many/few hidden layer units can affect the performance of the ELM mode, apparently.
Risk Decision Analysis Method for Emergency Response Based on Co-occurrence Network and Prospect Theory
Authors: Pang Guoying , Liu Jun , Liu Jia , Guo Yan 
Published: January 2020

Abstract
From the point of co-occurrence analysis, the article uses theme search to identify a collection of emergencies, which selected from about 70 years of research literature in China Journal full-text database and Web of Science database between 1959 and 2012. Through analysing the frequency of emergencies, the article builds a co-occurrence matrix, creates an emergency network according to co-occurrence rate between emergencies, and identifies a number of hidden disaster chains within the emergency network model. Secondly, losses occur due to the intervention of decision markers, and the feeling of psychological and the weight of possible scenarios are described using the theory of prospect. According to the values, weights and alternative costs, the overall prospect value of each alternative is calculated to determine the rank of schemes. Finally, the analogy simulation is given to illustrate the feasibility and validity of the emergency network and the proposed method.
A Lightweight Experimental Platform for Big Data Based on Docker Containers
Authors: Ruijun Gu 
Published: January 2020

Abstract
In recent years, many colleges and universities have set up the major of big data. The biggest problem in teaching is that there is no supporting basic experimental environment, and it is difficult to deploy and configure the big data environment at the same time. In addition, the lack of experimental data, experimental teaching plans and experimental manuals in the experimental process makes it difficult to carry out relevant teaching. In order to reduce the cost of laboratory construction and the difficulty of learning big data, a lightweight big data experimental platform was constructed based on virtualized container technology. Through this platform, we can create a big data cluster, provide various suitable experimental environments, focus on the technology itself, and greatly improve the learning efficiency.
Analysis and prediction of college students’ consumption behavior
Authors: Hou Wenming , Di Xiaoqiang , Zhang Xingxu , Ma Yong , Yang Huamin 
Published: January 2020

Abstract
Campus data analysis is becoming increasingly important. In this work, based on the students’ consumption behavior in the canteen, we study the correlation between the students’ consumption expenditure and China’s national price level, as well as the relationship between the number of merchants to whom students make payments and students’ own economic conditions. Specifically, the students’ consumption expenditure increases with the price level, and the male consumption is significantly higher than that of the female; in addition, the better the students’ economic condition, the more canteen merchants that students choose. Finally, we propose a model for predicting the student consumption group, which can divide the students into high, moderate and low consumption groups. Experiment results show that the model can be used as an effective tool for predicting the consumption groups of students.
To study game coordination mechanism for closed-loop supply chain in rural e-commerce
Authors: Wang Yanling , Zhang Guangsheng 
Published: January 2020

Abstract
Focusing on problems such as resource waste, environmental pollution and reverse logistics difficulties, this study established a game model consisting of product manufacturers, rural e-commerce, consumers and government for closed-loop supply chain in rural ecommerce, analysed equilibrium strategies selection and stability of closed-loop supply chain under government’s reward and punishment strategies. The analytical results indicated that government’s reward and punishment strategies for enterprises were important factors affecting enterprise decision-making, and can effectively guide closed-loop supply chain to improve efficiency of reverse logistics utilization, increase recycling price of rural e-commerce, and improve total social welfare goal.
Research on Social Security Governance in Big Data Environment
Authors: Chen Lei 
Published: January 2020

Abstract
Under the background of big data, social security information has new characteristics such as large data volume, low value density, diverse and complex types. It has become an inevitable trend to effectively integrate social security governance with big data technology. But there are some problems in social security work in China, such as imperfect organizational system, lack of special national social security database, lack of technical personnel with big data. Some measures are put forward, such as integrating social security resources, improving social security technical means, cultivating technical talents with big data thinking, strengthening the participation and cooperation of the public and institutions, improving the social security prevention and control system centered on big data, and further promoting international security cooperation, to promote social security governance.
Face Recognition based on Linear Projective Non-negative Matrix Factorization with Kullback-Leibler Divergence
Authors: Hu Lirui , Jia Siyuan , Wu Ning 
Published: January 2020

Abstract
In order to solve the problem of feature extraction and classification of Non-negative Matrix Factorization (NMF) in face recognition, a Linear Projective Non-negative Matrix Factorization method based on Kullback-Leibler divergence (LP-NMF-DIV) is proposed. In LP-NMF-DIV, an objective function of Kullback-Leibler divergence is considered. The Taylor series expansion and the Newton iteration formula are used to find the root formula. The iterative algorithm of basis matrix and linear transformation matrix are derived, and the convergence of the algorithm is proved. The results of experimental show that the algorithm is convergent. In face recognition, compared with some typical NMF methods, the algorithm has high recognition accuracy; when the ranks of the basis matrices are set to different values, the algorithm is stable. The method for LP-NMF-DIV is effective.
Analysis on the Relationship between Population Aging and Employment Dynamics in China—Based on Threshold Vector Error Correction Model
Authors: Yang Liu , Yu Shengchun 
Published: January 2020

Abstract
The social old-age dependency ratio has risen rapidly and the social burden has increased since China entered an aging society in 2001. In this paper, the nonlinear threshold vector error correction model is used to analyze the internal dependence of the elderly population over 65 years old and urban employment in China by using the data from 1990 to 2018. Real example shows that there is a threshold effect between the elderly population in China and urban employment; when the number of employees deviates from the equilibrium value, it will be pulled to the equilibrium level at a rate of 0.0607 units; otherwise, in the second mechanism, there is no long-term equilibrium relationship between the elderly population and urban employment.
Impact of income inequality on individual’ s health in China
Authors: Li Minya 
Published: January 2020

Abstract
There is a considerable number of existing literature exploring income inequality in relation to health, and a large majority of studies reported that health tended to be even worse in those more unequal societies. Our studies reexamined the relationships between health and income inequality. In more detail, we implemented both individual’s income level and family income level, and both mental health and physical, some interesting result can be seen in the later part of the research. In addition, as the individual’ s income level and family income level mentioned above measured the absolute income, we also conducted the relative income as fairness into robustness check.
Calculation Completeness of Combustion Fuel Using Distribution Characteristics of Flame
Authors: Galiev I R , Epishkin V E 
Published: January 2020

Abstract
The article is dedicated to experimental and theoretical studies characteristics flame propagation in combustion chamber internal combustion engine with spark ignition and their influence on completeness combustion. It is theoretically and experimentally proved that relationship of flame propagation characteristics with completeness of combustion composite fuel is complex, non-linear, and depends on chemical composition combustible mixture and temperature in combustion chamber. It was revealed that an increase thickness near-wall unburned fuel layer, size of slots in combustion chamber and surface area of combustion chamber contribute to a reduction combustion efficiency of the fuel. It is shown that an increase rate flame propagation and a decrease thickness flame front leads to an increase completeness combustion fuel. It was revealed that proposed formula, using fundamental characteristics of flame propagation, allows to us calculating completeness combustion composite fuel. This indicates feasibility using this formula at the design stage and fine-tuning low-emission and energy-efficient combustion chambers of engines and power plants.
Mathematical Modelling of Electrically Controlled Filters of Microwave, subTHz and THz–bands on the Base of Grapheneand-Dielectric Multilayer Structure
Authors: Smirnov I A , Cherckesova L V , Zhebrun E A , Kleimenkin D V 
Published: January 2020

Abstract
Report is devoted to investigations of graphene meta–surfaces for the transmission of radiation induced by plasmons in subTHz and THz ranges, cell of which consists of structures based on graphene ring and graphene nano–tape. It create regimes of radiation transmission – transparency windows induced by electric dipole resonances. Resonant frequency of transparency window can be dynamically tuned in wide band of subTHz and THz bands by changing the chemical potential (Fermi energy) of graphene by applying external electric field (gating) instead of re–fabricating of structures. Questions of possibilities of electronic controlled filters creating of subTHz and THz bands grounded on different configurations of graphene meta–surfaces are discussed; their characteristics and frequency dependencies are investigated. Mathematical modelling and electrodynamic calculation of the filters characteristics of subTHz and THz bands grounded on multilayer structures of “graphene–dielectric” type are carried out. From results of mathematical modelling it follows that periodic layered microstructures “graphene–dielectric” type can be used for creation of subTHz and THz bands broadband filters of planar construction, controlling by electric field and fast tuning at small changes in Fermi energy level of graphene.
Current Threshold Elements of Cyclic Shift for Constructing Specialized IP-Memory Modules in Automation and Systems for Tolerance Control of Analog Signals
Authors: Butyrlagin N V , Chernov N I , Prokopenko N N , Ya Yugai V 
Published: January 2020

Abstract
The current threshold elements of direct and reverse cyclic shift are developed. This logical elements are recommended as memory elements for the construction of relevant controllers and devices for tolerance control of analog signals, which used in diagnosis of complex electronic equipment. The mathematical apparatus used in the design is a linear algebra. The basic equations and results of computer modeling of the developed cyclic shift schemes are presented. Computer simulation was carried out in the Cadence environment on models of field-effect transistors XB06.
Ultrafine Metal Powders Used as Gas to Liquids Catalysts
Authors: Pivovar V A , Popok E V , Zhuravkov S P 
Published: January 2020

Abstract
The paper deals with the effect of synthesis parameters on the reactivity of Fischer– Tropsch iron-based catalyst resulting from electrical wire explosion in a carbon monoxide medium. The technology provides the synthesis of ultrafine particles with a large specific surface area and a given phase composition. A mixture resulting from the synthesis of liquid hydrocarbons contains hydrocarbons of a paraffinic and aromatic structure, and its further use requires additional refinement.
Formation of a Seam Using Automatic Unsupported Argon Arc Welding with a Non-Consumable Electrode with Flux Pastes
Authors: Krasikov P P , Savinov A V , Polesskiy O A , Chudin A A , Lysak V I 
Published: January 2020

Abstract
It was demonstrated that applying the flux paste on the back side of the welded joint during welding low-alloyed steels provides control over the sizes of the root and its defect-free formation. It was found that the back bead width is vital to unsupported root formation of thin-walled articles for the considered welding modes.
Work Safety During Purification of Irradiated Beryllium by Chlorination
Authors: Baklanova Yu Yu , Vurim A D , Kotov VM , Surayev A S , Prozorova I V 
Published: January 2020

Abstract
The paper considers safety ensuring issues during the work at the plant intended for researching the technology of irradiated beryllium purification using chlorination method. Presented technology assumes handling beryllium and its compounds, chlorine and hydrogen chloride in compliance with the following safety aspects: radiation and toxic safety. Based on the results of the calculation of an expected dose and taking into account the requirements for the attended personnel, the allowable duration of maintenance the reaction chamber with the loaded irradiated beryllium sample was determined. The amount of radioactive beryllium in each cleaning cycle was determined from the point of view of the reasonable minimization (based on the safety rules) of the possible internal exposure of personnel due to the intake of gaseous tritium. The paper describes a unique way to measure the concentration of free chlorine by optical method and methods to protect the harmful effects of chlorine gas and hydrogen. The results of this study demonstrate possibility of safe technology implementation during preparation and conduction of experiments for the treatment of irradiated beryllium.
The study of the moment of resistance of the grinder of legumes
Authors: Klasner G G , Tarasov V S , Baranov V P 
Published: January 2020

Abstract
The paper presents experimental studies of the determination of the flywheel masses and the moment of inertia along the coastline, the mechanical characteristics of the shredder are constructed depending on the abrasive roughness, the direction of curvature of the groove and the size of the gap between the disks.
Analysis of mathematical approaches to the assessment of population processes on the basis of cattle blood groups characteristics
Authors: Gerasimova V E , Gerasimova L A , Eremina I Yu , Kuklina A I 
Published: January 2020

Abstract
The immunogenetic characteristics of cattle blood groups are their high variability and heterogeneity. Population processes that occur under the influence of selection pressure can be estimated on the basis of the analysis of the antigen-frequency characteristics of blood groups. Using specific herds as an example, statistical indicators were calculated, and the choice of a statistical method for identifying micropopulation processes was rationalized. A two-sample Student’s t-test for paired samples on the basis of immunogenetic indicators helped to establish differences between populations and identify processes in blood group systems.