bluuebunny/crossref_metadata_2025_split huggingface dataset:
Carbide and oxide fibers based on organoelement poly(oligo)mers
Authors: Storozhenko P A , Shcherbakova G I 
Published: February 2021

Abstract
The researches of State Research Institute for Chemistry and Technology of Organoelement Compounds (GNIIChTEOS) have developed continuous carbide and oxide fibers based on organoelement poly(oligo)mers synthesized in GNIIChTEOS, which can be used to prepare principally new ceramic composites for structural and functional purposes.
Prediction of mechanical properties of hot-rolled strip steel based on PCA-GBDT method
Authors: Cheng Tianqi , Chen Guici 
Published: February 2021

Abstract
Improving the quality of rolled steel products is the primary task of the entire steel industry. As the main step of rolled steel production, hot rolling has received extensive attention. As far as the hot rolling process is concerned, the chemical composition of steel and related process parameters are the most direct factors affecting the quality of hot rolled steel sheets. Based on Principal Component Analysis (PCA) and Gradient Lifting Decision Tree (GBDT) methods, this paper takes the tensile strength as the research object and constructs a prediction model for the mechanical properties of hot rolled strip steel. Through principal component analysis of characteristic data, 28 variables were reduced into 8 new indicators to be used for GBDT regression analysis. 2489 pieces of data were divided into a training set and a test set at a ratio of 7:3, to be used in the training set to build a regression model, and get a root mean square error of 16.7393. The data in the test set was used to predict the tensile strength value, with the root mean square error reaching 18.2650.
Analysis and reflection on the current situation of informatization construction in tertiary TCM hospitals in China
Authors: Sang Yuhui , Xiao Yong 
Published: February 2021

Abstract
In order to understand and master the current situation of the informatization construction in tertiary TCM hospitals in China, measures to develop the informatization of TCM hospitals were studied and put forward. An online survey on the informatization construction of TCM hospitals in 2018 was carried out through the information system, and effective data of 487 tertiary TCM hospitals for descriptive statistical analysis were collected. The results show that the information infrastructure construction in China’s tertiary TCM hospitals is different, with the eastern part being better. The business application information system is based on clinical service. The connectivity of information platforms and the application of new technologies need to be strengthened. The conclusion is that the tertiary TCM hospitals should pay attention to construction of infrastructure and improve awareness of information security, build TCM characteristic system, strengthen system operation and maintenance; as well as attaching importance to application of standards and norms and improve the connectivity of the platform; and importance to the introduction of new technology to facilitate the construction of smart TCM hospitals.
Analysis of application of CNN value orientation to College students
Authors: Huang Xuewen 
Published: February 2021

Abstract
In view of the problem of value orientation analysis of college students in the new era, most of the value orientation analysis in China is conducted from the qualitative aspect, and there are few researches based on reasonable quantitative mathematical models. This paper USES the questionnaire survey and the Convolutional Neural Networks (CNN) to firstly preset classification of F values orientation, with Sigmoid function as the activation function, the questionnaire results as input, the respondents with preset classification compatibility as well as the output be simplified as the final result, F value by calculation and comparison of CNN compared with traditional mechanical analysis, found that CNN’s F value is 12.53% higher than the traditional analysis method, having certain superiority, providing quantitative reference for the analysis of value orientation.
Comparative analysis of dyeing process in hand printing with dyeing
Authors: Han Shuang 
Published: February 2021

Abstract
In the design and production of tie-dyeing modeling, the dyeing process of grey fabric is quite complicated and particularly important, which is directly related to the final effect of printing and dyeing works. If the various dyeing process stages are handled improperly, it is very easy to cause uneven color and color difference. This paper compares the dyeing process of manual printing and dyeing in the early, middle and late stages, to summarize and analyze the specific methods and influences of the dyeing process.
RETRACTED: Research on the relationship between new business talents’ ability and its thinking mode in the era of big data
Authors: Qu Ying , An Ruoyu 
Published: February 2021

Abstract
In the era of big data, the development of “new business” really needs talents who use new ways of thinking to solve economic management problems.Therefore, it is very important to comprehensively analyze the relationship between the ability of new business talents and the way of thinking in the era of big data.Through combing the literature, we have collected and sorted out the thinking mode in the era of big data and the ability requirements of new business for talents. This article selects 9 ability elements, including 4 ways of thinking and 5 talent abilities, to present the structural model of the relationship between the ability of new business talents and their thinking mode in the era of big data. Analyzing the relationship between talent abilities and thinking styles from a new perspective of big data, supplementing and expanding the existing research on new business talent’s abilities, is conducive to the update of training programs, and has certain significance for integrating teaching resources and optimizing curriculum structure.
Analysis on the coordinated development of marine economy and ecological environment coupling in Guangdong province
Authors: Xiao Jianhua , Guo Shihui 
Published: February 2021

Abstract
When constructing the evaluation index system of the coupling development of marine economy and ecological environment, the coupling coordination relationship between marine resources and environment system and marine economic system in Guangdong Province is revealed by using the coupling coordination degree model. The results show that: the ecological environment system of Guangdong province lags behind the marine economic system, while the marine economic development process is facing the dual pressure of resources and environment. According to the empirical results, some suggestions are put forward: optimizing the allocation of marine resources; cultivating marine innovative talents; establishing a scientific development system.
The Effects of PM2.5 on chronic cardio-cerebrovascular diseases and respiratory diseases in different groups
Authors: Huang Qiaolong , Chen Qin 
Published: February 2021

Abstract
This paper explored the difference of health damage caused by PM2.5 among the rural mid-aged and elderly in the same pollution level areas. In addition, the reason for the difference is also discussed. The results indicate that one unit concentration increase in PM2.5 is related to a statistically significant 1.82% increase in the probability of suffering chronic cardio-cerebrovascular diseases, respiratory diseases for the low-income individuals. It is 0.0012 higher than those with high income. In addition, the mid-aged and elderly in the areas with high per capita GDP face a higher risk of having the related chronic diseases. Personal health awareness and local medical service infrastructure play positive roles in reducing the health impacts of PM2.5.
Preliminary study on innovative design of bamboo furniture based on users’ big data
Authors: Sun Zhenzhen , Shao Jiahuan 
Published: February 2021

Abstract
Leverage Python software combined with contrastive analysis, structural analysis and trend analysis to analyze the current bamboo furniture market. Make use of Baidu Index to analyze the future development trend of bamboo furniture and user portrait. The research showcases that the simple modern style, pastoral style and European style furniture have made up a huge part of the market on the bamboo furniture market at present, and the bamboo furniture structure in the market mostly adopts weave structure and scaffold structure. From regional analysis’ perspective, the bamboo furniture developed more advanced in southeast coast and furniture industry spreads around Guangdong to its surrounding areas in cluster effect. The evaluation of bamboo furniture users shows that users pay more attention to the height, size, comfort and folding adjustment of bamboo furniture, whilst paying less attention to its design, which also reflected that bamboo chair is relatively lack of design. Through the analysis of the future development trend of bamboo furniture by Baidu Index, the conclusion is drawn that bamboo furniture can expand consumer groups by improving the design, such as, the exploration of intelligent development. In summary, based on the data analysis of the current situation and development trend of bamboo furniture market, this paper puts forward the innovative design of bamboo furniture to improve the competitiveness of bamboo furniture market, and promote the development of bamboo furniture Industry.
Analysis of health resource allocation efficiency of township hospitals in China
Authors: Yang Sirui , Tian Shuanggui 
Published: February 2021

Abstract
This paper aims to analyze the distribution of health resources in township hospitals in China from 2015 to 2018, and to provide Suggestions for improving the utilization efficiency of health resources in township hospitals by selecting 29 provinces/autonomous regions/municipalities directly under the Central Government (except Beijing and Shanghai) as the research objects. DEA-BCC model and DEA-Malmquist index model were used to analyze the utilization efficiency of health resources allocation in China’s township health centers. Results are In 2018 in the country, 29 provinces, cities and towns and townships, the comprehensive technical efficiency, pure technical efficiency and scale efficiency of mean value of the allocation of health resources is respectively 0.585, 0.751, 0.802, including Tianjin, Jiangsu, Zhejiang, Qinghai, Ningxia and other regions with theirs comprehensive efficiency be 1, DEA, being relatively effective, the comprehensive efficiency of other 24 regions are less than 1, being weak DEA efficient or relatively invalid; From 2015 to 2018, the average total factor productivity index of township health centers in nationwide was 0.979, with an average decrease of 2.1%, the change index of technical efficiency decreased by 1.3%, and the technological progress index decreased by 0.9%. It comes to a conclusion the level of overall resource allocation efficiency of township health centers in China is low with an unbalanced overall resource allocation, and the total factor productivity as a whole shows a downward trend. It is necessary to rationally plan the distribution of health resources in township hospitals, to increase technical input, improve the overall level of medical services, and balance the differences among regions, update the management concept of township health center managers, promote smart medical treatment and fine management, strengthen financial support and policy preference, promote the technological progress of township hospitals, and improve the efficiency of health resources use.
Analysis on the coupling coordination degree between regional economy and old-age service—A case study of Sichuan province
Authors: Zou Yonghong , Zhang Yunheng 
Published: February 2021

Abstract
In the past decade, China’s aging problem has become increasingly prominent. Properly solving the social problems caused by an aging population bears on the overall interests of development. In this paper the regional economic level and pension service level in 2018 of all cities and prefectures in Sichuan province were calculated by using the coupling coordination degree model to calculate the coupling coordination degree of regional economy and pension service in Sichuan province in 2018. It is found that it is difficult to match the level of regional economy and old-age service in every city and state in Sichuan province. In terms of the level of regional economy, the level of old-age service and the coupling between them, there is no ideal situation in each city or state. Chengdu, which has the highest per ca-pita economic level, has only the ranks middle degree in the whole province in terms of per ca-pita endowment service resources.
Analysis of influencing factors and teaching reform of nuclear professional English based on logistic regression
Authors: Wang Jiamei , Ge Liangquan , Li Fei , Liu Xiaohui , Zeng Guoqiang , He Xingjie 
Published: February 2021

Abstract
Nuclear professional English course can help students of nuclear energy engineering major to understand the corresponding course content accurately and effectively while learning and researching frontier topics. This course has an important guiding role for their future development. This experiment obtained a series of data from students who had completed the course by questionnaire survey, and logistic regression algorithm was used to analyse the influencing factors of professional English test, then obtained the P value. The significant relationship between the independent variable and the dependent variable can be seen from the P value, thus reflecting the problems existing in the current course. The odds ratio (OR value) value of 0.030 is the biggest influence on the passing rate of the examination factor. In the questionnaire survey on the distribution of students’ intention, 96.25% of the students hope to have a new teaching mode, while 38.10% of the students do not take the initiative to read English books.
Grey correlation analysis of influencing factors on logistics transportation development in Guizhou province
Authors: Ma Yanling , Du Guifeng , Zheng Shaoheng , Shi Wentao 
Published: February 2021

Abstract
Transportation is an indispensable link in the logistics industry, so this paper uses the “gray correlation for analysis of the factors on the logistics transportation industry development in Guizhou Province” as the theme. Firstly, it briefly analyzes the development status and existing problems of the logistics transportation industry in Guizhou Province. Secondly, it mainly analyzes the highway freight volume, railway freight volume, and their main influencing factors through the gray correlation degree method. This paper tries to find out the main factors influencing logistics transportation in Guizhou Province and gives some suggestions based on these results.
English-to-Chinese negative phonetic transfer by speech recognition technology
Authors: Fu Zheng , Ma Yunfei 
Published: February 2021

Abstract
Phonetic transfer refers to the phenomenon that one’s L1 sound system can influence one’s L2 phonetics. Previous studies have investigated phonetic transfer in the area of articulation, but L1’s effects on L2 pronunciation measured by speech recognition technology have been under-researched. The purpose of the research is to address this issue by focusing on a sample of 151 US university students’ Chinese learning. Speech recognition technology (HDecode tool from HTKv3.4.1) was applied to measure and evaluate participants’ English and Chinese pronunciation. Based on the quantitative data, it’s examined whether participants has applied phonetic transfer to Chinese learning and what factors might influence the results of phonetic transfer. The results show that English-to-Chinese phonetic transfer occurs both positively and negatively. The extent of positive transfer is limited to a condition when English syllables and Chinese Pinyin have the same or similar sounds. However, the extent of negative transfer is significant when English syllables and Chinese Pinyin have different structures and sounds. Furthermore, the study investigates what types of Chinese Pinyin might cause English-to-Chinese negative transfer.
Evaluation of financial credit risk on pharmaceutical supply chain based on support vector machine
Authors: Liu Pingshan , Zeng Ziming 
Published: February 2021

Abstract
This paper selects the financial data of 80 listed pharmaceutical small and medium-sized enterprises (SMEs) to build a credit risk evaluation system, and compares the risk evaluation effect of Logistic model and support vector machine (SVM) model on the basis of factor analysis. The results show that the overall prediction accuracy of SVM model is 3.7% higher than that of Logistic model, and the first type of error rate is lower at 12.3%, which indicates the superiority and effectiveness of SVM model applied to the credit risk evaluation of the pharmaceutical industry under the supply chain finance (SCF) mode.
Evaluation of development potentials of regional tourism industry—Taking Hebei province as an example
Authors: Han Lihong , Su Yu 
Published: February 2021

Abstract
The thesis selects 18 evaluation indicators, adopts comprehensive analytic hierarchy and linear process and method to measure the development potential of tourism in Hebei Province. Taking the eastern provinces and regions of China as a comparative sample, the study found that the tourism industry in Hebei Province faces problems such as small scale, short chains, and low integration of resources. It also proposes countermeasures for potential improvement in terms of cultivating leading tourism companies, building tourism clusters, and promoting cultural and tourism integration.
Modeling and analysis of entrepreneurs’ behavior patterns under M&A
Authors: Luo Xiang 
Published: February 2021

Abstract
For enterprise mergers and acquisitions impact on entrepreneurs’ behavior patterns, in this paper, by establishing the model of transparent analysis of entrepreneur’s behavior pattern, combined with the observation visualization of data, by introducing the concept of mergers and acquisitions, dynamic research points out for more than one time above the entrepreneur behavior patterns, so as to make the information as much as possible close to the reality, and analysis provides quantitative reference for the entrepreneur behavior patterns.. On this basis, this paper draw lessons from Arkadiyv. Sakhaetov and Timothy B. folta (2014), and other scholars research model, entrepreneurial behavior change (mainly for the innovation behavior) brought from mergers and acquisitions, established the mathematical model, analyzed the resources and the conflict of two kinds of variables influence on it, and the relationship between each variable has been carried on the theoretical deduction, to some extent the analysis confirms the rationality of the enterprise merger.
Research on the evolution and prediction of Internet public opinion of major pandemics—Taking the COVID-19 pandemic as an example
Authors: Li Jing , Tang Huimin , Tan Hongjuan 
Published: February 2021

Abstract
To clarify the evolutionary law of major epidemics online public opinion is a prerequisite for targeted public opinion management. This article takes the Novel Coronavirus Pneumonias as an example and proposes a method to predict the hot spots of public opinion in epidemic. We firstly used the python web crawler technology to capture 58916 online public opinion data on the Novel Coronavirus Pneumonias of the Forum on ‘Making the Country Prosperous’ of People’s Daily Online from January to March 2020, and then used the jieba thesaurus for word segmentation and keyword extraction, and performed word frequency statistics to show the hot content of the new crown epidemic network public opinion, then through the keyword association rule mining to find out the hot topics, finally through the information entropy to evaluate the hot topics, and discover potential hot topics in the future.
EDP placement model based on Python data prediction
Authors: Sun Jiaxing , Wang Shuaibo , Wang Zhenghao , Ji Lixia 
Published: February 2021

Abstract
In recent years, with the adverse impact of rising sea level become increasingly significant, the issue on environmentally displaced persons (EDPs) and their unique culture has emerged into our vision. Resulting from adverse impact of rising sea level, the EDPs will not only lose their resident, but also will lose their unique culture. To effectively deal with the problem, we have established two models in python, aimed at predicting the growth of sea levels and the number of EDPs, and resettling the EDPs. In order to better optimize our model and reflect the significance of relevant factor indicators in the model, we conducted a sensitivity analysis and analyzed the sensitivity factors and rationality of the model in this paper. In the end, we come to a conclusion of the strength and weakness of our model. It will provide constructive opinions for the UN to promote the research on global climate change, protect the atmospheric environment, assist island countries and protect their unique culture.
A rotation learning-based colliding bodies optimization algorithm
Authors: Liu Hui , Liu Bing , Li Yong , Cui Shiqi 
Published: February 2021

Abstract
In this paper, we propose an enhancement algorithm of colliding bodies optimization based on rotation learning, named by RBL-CBO. Firstly, we use the rotation-based learning to search for any point in the rotating space by adjusting the rotation angle, thereby improving the ability of the proposed algorithm jump out of the local optimum. Next, we leverage the sinusoid-based nonlinear adjustment strategy to modify the control parameters to improve the calculation accuracy of the proposed algorithm. Finally, we process the cross-boundary object by the mirroring strategy. We conduct extensive experiments to test the performance of the proposed algorithm. In simulation-based experiments, 23 benchmark functions are used to compare RBL-CBO algorithm with the CBO, DE, BBO, PSO and GSA algorithm. The experimental results demonstrate that the proposed RBL-CBO algorithm is superior to the other comparison algorithms, while the RBL-CBO algorithm is at least 20% higher than the CBO algorithm in terms of the accuracy of solving function optimization problem.
The strategy of user experience design driven by big data
Authors: Xu Wenjuan 
Published: February 2021

Abstract
In this paper, the algorithm of late factor model is used to calculate the satisfaction degree of the target user to the product to be tested by using the known conditions obtained from big data, so as to design the most ideal user experience. Taking the user experience of app as an example, some known user experience values are hidden, and then the calculated values are calculated by the algorithm. Through the comparison of the two, the minimum relative error between the predicted user experience and the real value is only 0.617%, and the maximum is no more than 2.957%.