bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of IL-8, IL-2 and IL-15 Gene Expression in Different Tissues of Jinghai Yellow Chicken Infected by Eimeria Tenella
Authors: Wang Chengli , Yu Hailiang , Wang Xiaohui , Zou Wenbin , Mi Changhao , Hu Tingyan , Dai Guojun 
Published: September 2020

Abstract
For research the role of IL-8, IL-2 and IL-15 genes in immune regulation after E. tenella infection, with Jinghai yellow chickens as material, the mRNA expression levels of IL-8, IL-2 and IL-15 genes in ten different tissues after infection with different doses of E. tenella oocysts were compared to determine the expression difference of the three genes in the same tissue with different infection doses. The results showed that IL-8, IL-2 and IL-15 genes were expressed in all tissues at the 7th day of infection, and the infection group was higher than the control group in most tissues. The mRNA expression of IL-8 gene in infection group II in the liver was significantly higher than that in the other two groups (P<0.05), and was extremely far higher the other two groups in the spleen and cecum (P<0.01). The mRNA expression of IL-8 gene in infection group II was also far higher in the bursa and thymus than that in the control group (P<0.05). The mRNA expression of IL-2 gene in infection group II in liver and lungs were significantly (P<0.05) and extremely significant (P<0.01) higher than that in the control group, respectively. The IL-15 gene mRNA expression. The infection group was obvious (P<0.05) and extremely significantly (P<0.01) higher in the lung and cecum than that in the control group, respectively. These results indicate that the three genes play a role in the infection of E. tenella in chickens, and provide a basis for the subsequent study of the relationship between these three genes and chicken coccidiosis resistance.
Identification of money laundering accounts based on weighted capital flow network
Authors: Xiong Jianying , Zhong Haifeng 
Published: September 2020

Abstract
Money laundering is an activity of transferring money through fraud and concealment. And its behaviour is different from normal transaction. The key to identifying money laundering crime is to find illegal account from massive capital flow data. The paper studies a method to identify the money laundering nodes by constructing the structural features of the capital flow network. According to the characteristics, we define the calculation methods of node outgoing, incoming and connectivity in the capital flow network, and identify the key nodes. The experimental results show that this method can find abnormal account from large-scale capital transaction data. Although the accuracy needs to be improved, it can help extract evidence of money laundering by ranking the weight and analyzing the capital flow from high-weight account.
Experimental study on road performance of asphalt mixture mixed with antifreeze
Authors: Liu Wenjiang , Chen Jie , Chen Yunquan , Chen Renshan 
Published: September 2020

Abstract
In order to ensure the fast and efficient snow removal of roads in winter, a kind of slow-release antifreeze combined with asphalt concrete is developed, and its road performance is studied. In this paper, a kind of antifreeze performance of AC - 13 is developed, therefore, the low and high temperature performance, water resistance, damaging antifreeze performance of asphalt mixture are studied under different dosage of antifreeze. Based on the analysis of the performance evaluation of the road at the same time the climate suitability of different antifreeze, this paper studies changes of dosage of antifreeze antifreeze performance decay law of asphalt mixture. The results show that the water damage resistance, low and high temperature performance of the antifreeze mixture are decreased with the increase of the antifreeze dosage, but under the appropriate dosage, the performance of the asphalt mixture could meet the requirements of the specification, and the optimal dosage of AC-13 antifreeze is 5.5%.
Improved big data filtering algorithm based on bloom filter
Authors: Liang Yujie , Yu Ying , Ouyang Wenhao 
Published: September 2020

Abstract
This paper focuses on the Bloom Filter deformation algorithm. The storage space occupied by Bloom Filter is independent of elements, which has high space efficiency and low time complexity of insert and query operations. However, as the number of added collections increases, the Bloom Filter’s error rate increases, thus filtering out a lot of non-repeating information. In order to solve this problem, the standard Bloom Filter is improved by introducing an algorithm of the structure of the master-slave Bloom Filter. Only when the master-slave Bloom Filter produces errors, the filter is considered as an error. At the same time, by dynamically increasing the number of filters, the growth of misjudgment rate is delayed. This paper also involves an improved Bloom Filter algorithm to reduce the error rate of the repeated data in the judgment filter.
Research on the protection and mechanism of coptis alkaloids on acetic acid type gastric ulcer
Authors: Duan Qionghui , Li Yong , Qin Feng 
Published: September 2020

Abstract
This paper studied the therapeutic effect of Coptis alkaloids on acetic acid type gastric ulcer and its possible mechanism. Acetic acid type gastric ulcer model is used and administered for 7 days, and the rats are killed, and then IPP software is used to calculate the area of ulcer of gastric tissue and the inhibition rate of ulcer. ELISA kit is also used to measure the expression level of epidermal growth factor (EGF) in serum of rats, 5-hydroxytryptamine (5-HT) in brain and noradrenaline (NE) in adrenal tissue. At the same time, HE staining is used to observe the healing state of gastric tissue. The experiment result shows that the ulcer area of Coptis total alkaloids group 25 mg/kg/day is significantly lower than that of the model group (P < 0.01), and the inhibition rate of ulcer is more than 50%; at the same time, it increases the content of EGF in serum (P < 0.05), promotes the healing of injured gastric tissue; and it also significantly increases 5-HT content in brain tissue and NE content in adrenal tissue (P < 0.01, P < 0.01), and to some extent, it regulates the mood of rats and prevents the recurrence of ulcer; the HE staining results shows that the Coptis total alkaloids promotes the recovery of gastric injury. Therefore, the Coptis total alkaloids can promote the healing of acetic acid type gastric ulcer, and its mechanism may be that it improves the healing quality of gastric ulcer by regulating the emotion of rats, which results in the effect of treating gastric ulcer.
Research on the impact of energy saving policies on subsidy income for regulated food enterprises: based on PSM-DID method
Authors: Chen Jianling , Dai Yongwu , Lin Weiming 
Published: September 2020

Abstract
Taking the “Energy Saving and Low Carbon Action in Ten-thousand Enterprises” officially implemented in 2012 as the target of the energy saving policy, based on the data of food enterprises which are extracted from China Industry Business Performance Data, and by using the one-by-one propensity score matching method (one-by-one PSM), the balanced panel data of regulated enterprises (totalling 617) and unregulated food enterprises (totalling 617) from 2010 to 2013 are obtained through matching. Later, the difference-in-difference model (DID) with energy saving policy treatment variables is used for estimation to quantitatively evaluate the “net” effect of the energy-saving policy on subsidy income for regulated food enterprises. The results indicate that: The proportion of subsidized enterprises in all regulated food enterprises is higher than that of subsidized enterprises in unregulated food enterprises. Regulated food enterprises can obtain more subsidies than unregulated enterprises, which means, the proportion of subsidies in regulated enterprises is 43.1% higher than that in unregulated enterprises.
A new type of RMB counting device
Authors: Huang Jian 
Published: September 2020

Abstract
In order to measure the quantity of paper with high speed and accuracy, a new measuring technology based on the principle of capacitance sensing is proposed and a measuring device is made. Put two metal plates of the same size at a certain distance with a piece of A4 paper in the middle. When the thickness of the paper changes, the capacitance on the metal plate will change. Use the capacitance sensor fdc2214 to sense the change. After modeling and analysis, determine the functional relationship between the thickness of the paper and the measured value, and calculate the paper quantity. The test results show that the device can count the number of paper accurately and quickly.
The impact of artificial intelligence on job insecurity: A moderating role based on vocational learning capabilities
Authors: Liu Renbao , Zhan Yige 
Published: September 2020

Abstract
In order to explore the psychological impact of artificial intelligence on the job insecurity of manufacturing employees, a quantitative model of artificial intelligence (AI) on employees’ job insecurity was constructed by using vocational learning ability as a moderating variable. This paper constructs the measurement model of artificial intelligence on the job insecurity of employees, and makes statistical analysis of the data by using SPSS22.0. The results show that artificial intelligence has no significant negative influence on the job insecurity at present. However, the interaction items between vocational learning ability and artificial intelligence have significant negative effects on job insecurity, and vocational learning ability has a significant moderating effect on job insecurity. This paper has theoretical guidance and practical significance for the government, enterprises and employees to take active measures to solve the structural unemployment problem caused by the development and application of artificial intelligence in the labor market.
Construction and evaluation of a smart learning ecosystem for college English
Authors: Wen Lu 
Published: September 2020

Abstract
This paper aims to construct a smart learning ecosystem for College English from the inorganic environment and ecological communities in order to generate the greatest energy flow and information flow among the physical environment, visual environment, resource environment and teachers, students, administrators and developers. After a two-year experiment of GUET, the findings are as follows. First, this model has significant effects on improving the passing rate of CET-4. Second, this model has obvious improvement on improving students’ writing ability, while there is no obvious improvements in students’ listening and reading ability. This paper analyzes the research results and puts forward corresponding solutions to these problems to promote a sustainable development of College English.
Evolution characteristics of total factor productivity of industrial enterprises in Fujian Province
Authors: Zheng Shunhui 
Published: September 2020

Abstract
The DEA-based Malmquist index method was used to measure the total factor productivity of the industrial sector of Fujian Province and the industrial enterprises under four forms of ownership from 2004 to 2016. The research conclusions are as follows: First, the total factor productivity of the industrial sector of Fujian Province improves year by year, with an average growth rate of 8.9%. Technical progress is the only driving force for the improvement of total factor productivity. The technical efficiency, pure technical efficiency and scale efficiency remain unchanged; second, from the perspective of ownership, the total factor productivity of collective enterprises grows fastest, reaching 11.3%, followed by private enterprises (10.3%), foreign-invested enterprises (7.9%), HKMT enterprises (7.5%). Technical progress is also the only driving force. Therefore, the Fujian Provincial Government should increase investment, and support industrial enterprises to enhance the capacity for technological innovation, the conversion rate of technological achievements and the efficiency of resource allocation.
Improved genetic algorithm applied to model identification of typical thermal process of gas-steam combined cycle unit
Authors: Ni Weichen , Li Haoran , Cao Xiaonan , Zhang Changzhi , Zhao Yi , Wang Jian 
Published: September 2020

Abstract
The gas-steam combined cycle unit has high thermal efficiency, low pollution to the natural environment, and high cost performance. It has become the first choice in the sustainable development planning of the power industry, especially for the steel companies. It is of great practical value to establish the mathematical model of the combined cycle unit, especially the thermal process model. However, due to the influence of multi-parameters and non-linear correlation in a typical combined cycle unit, this paper uses an improved genetic algorithm to identify four typical thermal process models. The simulation results show that it is highly consistent with the measured results and is consistent with the traditional genetic algorithm. In contrast, there is also a significant improvement in fitting accuracy, which proves the feasibility and effectiveness of the improved algorithm in this paper in the identification of typical thermal process models of combined units.
Evaluation of teaching quality in higher vocational colleges based on quantum behaviour particle swarm optimization
Authors: Ma Wanzhi , Yang Zhangcheng 
Published: September 2020

Abstract
The implementation of teaching evaluation comprehensive evaluation system and effective management on teaching quality can scientifically manage the development of teachers’ teaching activities. At present, the teaching quality evaluation of teachers in higher vocational colleges has not yet realized algorithm operation based on quantum behavior particle swarm optimization. Therefore, it is necessary to study the teaching quality evaluation system consistent with the characteristics of higher vocational colleges. Quantum particle swarm optimization can construct a system model that can evaluate the quality of teaching. The system includes various functions like management and evaluation, which can be closely combined with the actual needs of each college. User name and password can effectively improve the security performance of the system. Convenient and fast database management operation, as well as intelligent and friendly database management interface, can ensure the timeliness and accuracy of query results. Research shows that, based on the practical application of quantum behavior particle swarm optimization in the field of teaching quality evaluation, the means of teaching evaluation are more scientific.
Research on accurate quantification of membership of distribution terminal index based on cloud model
Authors: Liao Mengke , Xu Hairui , Cao Xinhui , Dong Yuting , Zhou Honglian , Bai Shengli , Xing Xiaomin 
Published: September 2020

Abstract
In order to accurately assess the health status of distribution terminals, it is necessary to solve the problems of strong subjectivity and high redundancy of the index membership results in the evaluation index system. According to the empirical score given by experts, the cloud model is used to describe the actual index state and the level boundary interval respectively to form floating cloud and standard state cloud space, and the overlapping area of the two is used to represent the membership degree of the actual index. This can not only directly determine the results, but also eliminate the influence of redundant factors, and realize the accurate quantification of the index membership degree results, which widens the direction for further improving the final evaluation effect.
RETRACTED: Research on innovation mode of new material enterprises under the background of big data
Authors: Chen Zhangliang , Shi Junwei , Zheng Binbin 
Published: September 2020

Abstract
In the background of big data, the innovation process of new material enterprises is the result of full and effective integration of many external forces. This paper analyzes the impact and challenges of the emerging big data phenomenon on new material enterprise innovation, including internet plus, material genome project and so on. This paper also puts forward the mechanism of external driving force for innovation of new material enterprises in the big data environment, and discusses the influence of DMAIC model on the decision-making of new material enterprises. Finally, the paper expounds how to establish a multivariate and opening innovation platform for new material enterprises based on big data ecosystem under the two major support systems of internet of things and cloud computing, so as to make full use of various big data resources to serve the innovation and development of new material enterprises.
Economic analysis of the change of tea production layout in China
Authors: Wu Qinyao , Sun Chaofeng , Yang Jiangfan 
Published: September 2020

Abstract
In the context of deepening supply-side reform in China, based on the national tea planting area and yield data from 1993 to 2018, combined with GIS technology and spatial center of gravity statistical models, this paper analyzes the characteristics of China’s tea development and change in 25 years in detail, and comprehensively analyses the driving mechanism of the changes. The following conclusions are drawn: China’s tea production space has changed significantly, and the country’s tea planting area and output have been on the rise, but the changes are inconsistent; The continuous westward shift of the center of tea production in China is caused by the joint influence of nature, economy and society, among which resource endowment and policy support are the most important driving forces.
How online reviews drive enterprise innovation: the intermediary role of customer participation
Authors: Li Qianqian , Pu Jiaying 
Published: September 2020

Abstract
With the rapid development of the Internet, online reviews have become a hot topic. Online reviews have an influence on sales, brand loyalty and consumer behavior, but there is still a lack of systematic research on whether it can drive enterprise innovation. This paper explores the dimensions of online review, constructs a theoretical model of the influence mechanism of online review on enterprise innovation, and uses empirical analysis to verify the relevant hypotheses. It is found that the professionalism, homogeneity and relationship strength of online reviews have a significant positive influence on innovation performance of enterprises, and customer participation plays an intermediary role. By revealing the function mechanism of online reviews, this paper can make managers deeply understand the inherent law of “how to effectively manage online reviews to promote enterprise innovation performance”, which has a certain guiding significance for the marketing practice of enterprises.
Dynamic game pricing model of car-free carrier platform based on GA-BP theory
Authors: Xiong Zhenyu , Su Youkang 
Published: September 2020

Abstract
With the rapid development of China’s logistics industry, transport demand continues to be strong, and how to scientifically give platform pricing to achieve rapid transactions and reduce operating costs is a major problem. Firstly, in order to solve this problem, after collecting data from the car-free carrier company P, due to the excessive influence factors of the data, it is necessary to clean the data and normalize the data. Six indexes that affect the pricing are screened out by the grey correlation model, which are total mileage, total line cost, vehicle length, vehicle tonnage, transportation grade and the time needed for plan execution. In order to verify the rationality, we do multiple linear regression to the data. Secondly, in order to solve the nonlinear fitting problem, the improved initial value GA-BP model is introduced to perform data fitting and prediction, it is concluded that the first pricing is to achieve the required accuracy at n=94, and the error is less than 0.1% when the number of iterations no more than 100, which verifies the model is suitable for such problems. Lastly, In order to simulate the dynamic pricing process of the platform, it is required to predict three times of pricing. Based on the first pricing and known data, a neural network decision tree prediction model based on game theory is established. The dichotomy is applied to the value of information entropy to measure the proportion of price adjustment, and a conclusion is drawn. When the information entropy value I>26.7204, the second price adjustment decreases by 3.87%, and the third price adjustment decreases by 0.39% .When the information entropy value I>26.7204, the second price adjustment decreases by 1.64%, and the third price adjustment decreases by 1.27%.
Interdisciplinary phenomena and their regional differences in management science
Authors: Ge Zhiyuan , Zhao Huiyuan 
Published: September 2020

Abstract
It is of great significance to discuss the interdisciplinary phenomenon and its regional differences for a comprehensive insight into the intersection and integration of disciplines in the field of science and technology. In this study, based on the text information of the National Nature Fund Project, the corpus is constructed by using keyword information, combined with TF-IDF algorithm to improve cosine similarity, and a region-specific measurement method of discipline intersection is proposed. Using this method, the interdisciplinary difference maps of this discipline among provinces, autonomous regions and municipalities directly under the Central Government in China are obtained, and the interdisciplinary and regional differences in this field are analyzed. The results show that management science has small-world characteristics, and there are great differences in the degree of discipline intersection among different regions, which verifies the effectiveness of the construction method of this study.
Access to the Internet and the Chinese household consumption structure: Based on IV regression and PSM analysis
Authors: Wang Liping , Deng Hao 
Published: September 2020

Abstract
Based on the data of China’s Household Finance Survey (CHFS) in 2017 consisting of 38230 samples across China, this paper uses the instrument variable (IV) regression method and the propensity score matching (PSM) technique to study the influence of access to the Internet on the household consumption structure. The conclusions are as follows: first, access to the Internet is conducive to the upgrading of the consumption structure of the residents. Increase of the income, assets and education level could upgrade the consumption structure. Second, people who do not use the Internet will upgrade the consumption structure if they use the Internet, but the upgrading degree of the consumption structure is limited by the income level. Third, from the regional perspective, the Internet can promote the upgrading of consumption structure in the eastern and western regions of China, but it has no significant effect on the consumption structure in the central and northeast regions.