bluuebunny/crossref_metadata_2025_split huggingface dataset:
The relationship of value and life-meaning orientations of modern students with pedagogical technologies of educational activities
Authors: Andryewskaja Sviatlana V , Bryksa Yuliya , Kiryienka Aliaksandr S , Khudziakov Andrei Y 
Published: February 2021

Abstract
The paper examines the relationship between value and life-meaning orientations as well as of motivation for the affiliation of modern students with pedagogical technologies of educational activities. The following pedagogical technologies are considered: the technology of problem-based learning, multilevel learning, game technologies, the project method, learning technologies in collaboration, information and communication technologies in learning. The relationship between students’ value orientations and their preferred learning organization technologies has been studied. It was revealed that students with dominant internal values prefer practice-oriented approaches and technologies in teaching. Students with a predominant locus of self-control prefer collaborative learning technology. Students with a high degree of "affiliation motivation" prefer communicative learning technologies associated with teamwork and active communication with peers. The study of personal characteristics and values of students allows organizing more efficient educational activities using new pedagogical technologies.
Study on the cross-correlation between two country for soybean futures price and exchange rate
Authors: Hua Peiyan 
Published: February 2021

Abstract
The paper investigates the connection between two countries’ foreign exchange and futures market for soybean, DCE NO.1 soybean and CBOT soybean as the research object by using multifractal detrended cross-correlation analysis (MF-DCCA). Results indicate a significant multifractal cross-correlation among USDCNY and two country’s soybean futures. By contrasting the multifractality of the original series to processed series, we discover that the fat-tailed distribution serves as the primary cause for USDCNY-DCE sets while the long-range correlation explains the other. Our result shows that the soybean futures in China has a higher multifractality degree, but the fluctuation of exchange rate has a better pass-through effect on the price of US soybean futures’ market.
Research on synergy of science and technology policy types and policy tools based on analysis of policy text
Authors: Guo Chundong , Niu Yibo 
Published: February 2021

Abstract
The development of the times has brought about a new form of policy formulation from single targeting to multi-policy coordination. It has put forward new requirements for the science and technology policy system, and how to formulate scientific and reasonable science and technology policy has become the most important problem. In order to explore the approached to this problem, this paper, combining different periods of data characteristics for comparative analysis, starts with the classification of policies and the synergistic effect of policy types and policy tools, constructing a collaborative analysis model of policy function to study the collaborative research between science and technology policy types and policy tools. Finally, it is suggested that the formulation of science and technology policy should closely combine the background of the times with the characteristics of policy types, and the corresponding policy tools should be synthetically selected to match its applicability.
Risk analysis of College Students’ e-commerce live broadcast based on data in survey
Authors: Xia Lixin , Lin Hongzhen , Huang Na , Li Jing 
Published: February 2021

Abstract
In the process of China’s rapid economic development, e-commerce live shopping has played an important role. However, as the main group of e-commerce live shopping for college students, related shopping risks occur frequently, causing things to harm their own interests. Therefore, it is an important topic to explore the sources of risks and measures to prevent risks. In this regard, this article uses SPSS to analyze relevant result data through a questionnaire survey, with college students as the main group of the survey. The study found that many college students have a low level of understanding of the risks of shopping, and in the process of live e-commerce shopping, they are generally concerned about product quality, business reputation and whether personal information is easy to leak. Therefore, in order to better enable college students to avoid risks in the process of live shopping and take effective measures towards the risks occurrence, we suggest strengthening the popularization of e-commerce live broadcast risk prevention knowledge for college students, so that they can master relevant legal knowledge to a certain degree. College students can take measures to retain electronic invoices or proof of their purchase while merchants can improve payment security levels.
Application of BP neural network in cross-border e-commerce web pages quality evaluation
Authors: Liu Cong , Liu Rui 
Published: February 2021

Abstract
E-commerce companies have been already using their website to increase company popularity, advertise products, do online marketing and receive orders online. However, how a company web pages serves its function as a communication window with their customers always concerns trading companies. This paper, based on the experts consultation and customer opinions, combined with the literature review, establishes an evaluation indicator system of e-commerce web page quality. Also, an evaluation model is created to analyze the factors that will influence web page quality of trading company on the basis of BP neural network. Test results show that the BP neural network model is precise, stable and practical.
Method for sharing test data based on blackboard model
Authors: Du Zhanlong , Li Bo , Yang Qiushi , Wang Tianqi 
Published: February 2021

Abstract
With the accelerated development of the equipment under test towards informatization and systemization, higher requirements are put forward for the construction of the test capacity of the equipment under test. It is a good way to maximize the value of test data as a core resource through building a test data distributing and sharing platform. A test data distributing and sharing method based on the blackboard model is proposed in this paper. Then a data sharing model is established including data management service center, data demanders, and operating mechanism to meet the needs of remote storage and global sharing of test data.
Evaluation of green innovation ability of regional high-tech industries—Taking Hebei province as an example
Authors: Zheng Jing 
Published: February 2021

Abstract
Green innovation is one of the effective ways to realize national economic growth, environmental protection and social harmony. This paper takes the green innovation of high-tech-industry in Hebei Province as the empirical research object, and constructs the evaluation index system from three aspects: green innovation input capacity, green innovation output capacity and green innovation environment capacity. Taking 31 provinces/cities/autonomous regions across the country as a comparative sample, the factor analysis method is used to evaluate the green innovation capability of Hebei’s high-tech industry.The overall green innovation ability of high-tech industry in Hebei Province is relatively low. The comprehensive score of green innovation ability, countermeasures and suggestions are put forward to realize the green and innovation integration of high-tech industry in Hebei Province.
Evaluation of teaching quality of computing method course based on improved BP neural network
Authors: Deng Xiaotong , Gu Yi , Li Fei , Liu Xiaohui , Zeng Guoqiang 
Published: February 2021

Abstract
Calculation method is a very important basic course of engineering, in the environment of engineering education, a large number of colleges and universities bring calculation methods into the category of professional compulsory courses. This course is not only theoretical, but also practical. Therefore, teachers are required to combine the two organically. The evaluation of teaching quality is of great practical significance to the cultivation of students and the optimization of curriculum. This paper establishes a more convenient and efficient teaching quality evaluation model of calculation method course by making corresponding evaluation index of calculation method course, and proves its excellence through experiments.
Comprehensive evaluation on bed utilization efficiency of public TCM hospitals in 17 cities of Hubei province
Authors: Wu Xiaohua , Tian Shuanggui 
Published: February 2021

Abstract
To evaluate the bed utilization efficiency of public TCM hospitals in 17 cities of Hubei Province, the date of the bed utilization of public TCM hospitals in 17 cities of Hubei Province in 2017 was collected. Then, the entropy weight method was used to determine the weight of evaluation indicators, and the method of TOPSIS and RSR were used to evaluate bed utilization efficiency. The bed utilization efficiency of public TCM hospitals in 17 cities of Hubei Province can be divided into three levels. Ezhou, Yichang were in lower range, Huanggang, Enshi, Jingmen, Huangshi, Tianmen, Wuhan, Qianjiang, Xiangyang, Xianning, Shiyan, Shenlongjia, Xiantao were in midrange and Jingzhou, Suizhou, Xiaogan were in higher range. The method of entropy weight TOPSIS and RSR can reflect the bed utilization efficiency of public TCM hospitals in different cities objectively and comprehensively, and the results are scientific and reliable. There is a big gap in the bed utilization efficiency of public TCM hospitals in cities of Hubei Province. It is suggested that cities with low bed utilization efficiency should give full play to the characteristics and advantages of TCM to improve the core competitiveness of hospitals and to enhance the attractiveness of hospitals to patients. At the same time, public TCM hospitals should deepen the integration of TCM and Internet, and optimize the medical service process of TCM to improve the bed utilization efficiency.
Visual analysis of domestic and foreign Omni-channel retail research based on knowledge graph
Authors: Hou Yumei , Zheng Diwen , Guo Mengjin 
Published: February 2021

Abstract
With the prevalence of e-commerce and the decline of traditional retail channels, the retail and manufacturing industries have expanded their sales channels. Omni-channel retail has become a “new star” in the retail industry and a research focus. Because the literature research content of omni-channel retail is complicated and large, in order to sort out the research results in this field, it is convenient for future scholars to study omni-channel retail. This paper uses Citespace software to conduct quantitative and visual analysis of “CNKI” and “Omni-Channel” research literature in WOS (web of science) from 2009 to 2019. Research findings: First, with the constant changes in research hotspots in the retail field, omni-channel retail has also continued to develop. Second, the “omni-channel” research method focuses on qualitative research, and quantitative research focuses on specific issues such as “consumer purchasing behavior” and specific issues such as procurement pricing. Third, with the further development of omni-channel retail, consumer purchasing behavior research, retail marketing system construction research, integration of warehouse operations and design suitable for omni-channel operation, and omni-channel e-logistics and distribution will become omni-channel research. The direction is worthy of attention.
Research on Anti-collision algorithm of Multi-RFID tags in intelligent clinical monitoring system
Authors: Zhang Helin , Huang Yiqun , Chen Qingmei , Zhang Kang 
Published: February 2021

Abstract
In view of the collision problem of multi Rfid Tags in recognition, the long recognition time of Deterministic algorithm and the low efficiency of the random algorithm are easily hungry and thirsty; In this paper, an improved anti-collision Algorithm (DFSA-CT) is proposed based on the design of dynamic environment. Compared with other collision algorithms, this algorithm has obvious advantages in time slot number and recognition efficiency. Finally, experimental simulation is used to analyze the algorithm and its superiority is verified.
Research on recommendation algorithm based on collaborative filtering of fusion model
Authors: Wang Yichen 
Published: February 2021

AbstractBased on the facts nowadays, recommendation systems are widely used, the focus of this research is how to effectively improve the accuracy and adaptability of such systems. The research proposes a collaborative filtering model algorithm based on the fusion model, which combines five classical algorithms: Singular value decomposition, Knn-Baseline, K-Means, Non-negativistic matrix factorization and SlopeOne algorithm. By combining the outputs of five models, and then carrying out regression and fusion, a collaborative filtering algorithm is obtained. The model can effectively integrate the advantages of the five models, and can carry out experimental validation on the datasets of Movielens-1M and Movielens-100k. The experimental results are more accurate than applying the five algorithms individually, and the regression model has good adaptability and predictability.
Research on forecast model of Chinese coffee export trade market based on SVM
Authors: Chen Lijin 
Published: February 2021

Abstract
Aiming at the problem of the low share of China’s coffee exports in the international market, this paper studies the relationship between China’s coffee export amount and five major factors influencing on this. The results show that the coffee market should not only pay attention to internal factors-planting area, tea culture and export volume, but also pay close attention to international trends. It is necessary to analyze the requirements of the international market and keep up with the trend. At the same time, the results of using SVM and BP neural network to establish a mathematical model show that SVM has many unique advantages in solving small sample and nonlinear problems with acceptable stability. The prediction effect prove the SVM model has good generalization ability.
Design and research of wireless charging system of autonomous underwater vehicle based on magnetic coupling resonance
Authors: Yu Zhimin , Wang Renzhong 
Published: February 2021

Abstract
In order to apply wireless charging technology to autonomous underwater submersibles, exploring the application of magnetic coupling resonance wireless charging in the field of underwater wireless charging. To expand the application range of autonomous underwater submersibles and improve their endurance. Based on Matlab and multisim 14.0 co-simulation, the wireless charging system flow was designed, and the design of wireless charging device was optimized. Based on the design and modeling analysis of the implementation scheme, the underwater wireless charging system was studied and simulated, and the circuit load resistance was applied. The average power, the average power of the power supply output, the overall efficiency of the circuit, the coupling resonant radio energy transmission efficiency and the coupling coefficient between the coils are compared with theoretical calculations. The simulation results of the wireless charging system of the autonomous underwater submersible with magnetic coupling resonance are highly consistent with the trend of the calculation results, with verification method being effective. The circuit modeling method of underwater wireless charging system is proposed, which provides reference for underwater wireless charging system design. The wireless coupled system with magnetic coupling resonance is a feasible solution for autonomous underwater submersibles, and it is one of the important measures to improve the application performance of autonomous underwater submersibles.
Impacts of African swine fever on water quality in China
Authors: Bai Zhaohai , Jin Xinpeng , Oenema Oene , Lee Michael R F , Zhao Jun , Ma Lin 
Published: February 2021

Abstract
The outbreak of African swine fever (ASF) in China has significantly reduced the country’s pig production capability, whilst also having far-reaching impacts on livestock products supply in the wider food system. Previous studies have quantified the potential long-terms impacts on food prices, however, little information is available regarding the direct short-term impacts on food system changes (livestock products supply and consumption patterns) and water quality protection associated with the outbreak. Here, we used multiple sources of data in relation to consumption patterns and water quality to fill this knowledge gap. Our results indicate that the ASF outbreak has changed the short-term livestock products consumption pattern in China, with increasing reliance on importation of livestock products. A rapid change in pork self-sufficiency rate has also driven a rapid increase in the consumer price index of many cities. Banned swill feeding and reversed environmental regulations in the watercourse intense regions has unintended consequences, especially on water quality. Swill, which is no longer fed, was dumped into water waste streams and lowered the sewage treatment efficiency. The re-establishment of pig production back into watercourse intense regions has led to exceedance of local manure nutrient loading capacity of agricultural land. We suggest (a) a short-term intermediate policy to prohibit discharge of swill to sewage systems, to return their previous efficiency, (b) the development of new technologies for the safe recycling of swills, and (c) the design of a long-term intelligent spatial planning of pig production, slaughter and transportation within China to ensure continued protection of water quality vulnerable zones.
Environmental and economic impact of electric vehicle adoption in the U.S
Authors: Chen Zhenhua , Carrel Andre L , Gore Christina , Shi Wei 
Published: February 2021

Abstract
Battery electric vehicles (BEVs) have received increasing attention in recent years as BEV technical capabilities have rapidly developed. While many studies have attempted to investigate the societal impacts of BEV adoption, there is still a limited understanding of the extent to which widespread adoption of BEVs may affect both environmental and economic variables simultaneously. This study intends to address this research gap by conducting a comprehensive impact assessment of BEV adoption. Using demand estimates derived from a discrete choice experiment, the impact of various scenarios is evaluated using a computable general equilibrium model. Three drivers of BEV total cost of ownership are considered, namely, subsidy levels, cash incentives by manufacturers, and fuel costs. Furthermore, in light of current trends, improvements in BEV battery manufacturing productivity are considered. This research shows that changes in fuel price and incentives by manufacturers have relatively low impacts on GDP growth, but that the effect of subsidies on GDP and on BEV adoption is considerable, due to a stimulus effect on both household expenditures and on vehicle-manufacturing-related sectors. Productivity shocks moderately impact GDP but only affect BEV adoption in competitive markets. Conversely, the environmental impact is more nuanced. Although BEV adoption leads to decreases in tailpipe emissions, increased manufacturing activity as a result of productivity increases or subsidies can lead to growth in non-tailpipe emissions that cancels out some or all of the tailpipe emissions savings. This demonstrates that in order to achieve desired emissions reductions, policies to promote BEV adoption with subsidies should be accompanied by green manufacturing and green power generation initiatives.
Research on Urban River Spatial Continuity Design Based on RSC Model
Authors: Fan Zhiqiang , Wang Feng 
Published: February 2021

Abstract
In order to solve the problem of river spatial fragmentation and heterogeneity caused by urban expansion, a River Spatial Continuity (RSC) analysis model is proposed to explore the design strategy of spatial continuity, and alleviating the problem of uneven urban space construction. The river spatial continuity includes macroscopic spatial continuity and microscopic spatial continuity. This article takes the river microspace as the main object, and use the section from Mudugang to West qiujiang River in Putuo District, Shanghai as an example. The analysis results show that the spatial continuity index of the site is low (c1=0.33) and the visual continuity is poor (C2=0.26). In the industrial and commercial gathering areas (upstream and middle reaches), the river space has varied spatial changes and uneven quality distribution. However, in the residential areas (downstream) have similar types and densely distributed functions. The mixing of various types of surrounding environments leads to the fragmentation of the river space and heterogeneity. Because of this, the strategy has been proposed to optimizing land use space and improving the quality of details in the upper and middle reaches, while implementing standardized design in the downstream areas. In this way can promote the formation of regional linkage and coordinated development of the city.
A Study on the Optimization of Green Efficiency of Connected Underground Streets in Rail Transit Stations
Authors: Xu Bin , Zhang Zequn 
Published: February 2021

Abstract
With increasingly growth of national economy, rail transit constructions in China are in full swing, which bring about rapid development of underground space in urban areas and further improvement of function and space of the area around rail transit stations. Based on the analysis of different space types of underground streets around rail-transit junctions, this paper discusses some concepts of connected space in rail transit stations from the perspective of rail transit junctions, analyses the details of function, space, business format and environment of two typical cases, and summarizes the key points of promoting green efficiency of connected underground streets at metro stations, so as to provide references for design and construction of similar cases.
Pollution characteristics and risk assessment of heavy metals in sediments of Wolong Lake
Authors: Ma Shanshan , Geng Shicong , Wang Guofeng , Yang Shuo , Ma Rui , Gao Yu 
Published: February 2021

Abstract
In this paper, the heavy metal content in the surface sediment of 20 sampling points in Wolong Lake of Shenyang was analyzed. The accumulation degree and potential risk of heavy metal pollution in the sediment were evaluated by the geological accumulation index and potential ecological risk index. The results showed that the order of the six heavy metals accumulation index was Cd> Zn > Ni > Cr> Cu > Pb. According to the relevant evaluation standards, the main heavy metal pollutant in the sediment was Cd, and the risk order of ecological hazards was Cd> Ni > Cu > Zn = Pb> Cr. The evaluation of potential ecological risk index showed that the risk level of heavy metals in the sediment of Wolong Lake was low.