bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of interactive technologies in organizing training of managers and specialists of the fuel and energy complex in the field of industrial safety
Authors: Glebova E V , Zayats B S , Volokhina A T , Vikhrov A E 
Published: February 2021

Abstract
In this study, we have carried out the analysis of modern educational technologies and methods that consider the socio-psychological aspects of classes (game forms of learning, case studies, group discussion, video analysis, debriefing, brainstorming, training) taking into account interactive learning format features. As a result, we have developed a professional development program "Behavioral Safety Audit. Rules of Conduct" for managers and specialists of the fuel and energy complex, aimed at training auditors. The acquired skills contribute to the formation and development of a high level of industrial safety culture among trainees as an important component of the health and safety management system.
Strategies for students’ lean competencies formation in the educational process of the university
Authors: Mishina S V 
Published: February 2021

Abstract
The article examines efficiency of various strategies for students’ lean competencies formation in the educational process of the university. The relevance of the issue is justified by the fact that university graduates with developed lean competencies are in high demand on the job market. In the present article lean competencies are formally described requirements for personal, professional and other skills and qualities of students, action plans, methods and algorithms of actions related to lean production in a specific area. The solution to the problem indicated is carried out via analysing results of the pedagogical experiment. During the experiment the effectiveness of four strategies of students’ lean competencies formation was tested: formal education, practical training, hidden curriculum, mixed strategy. 208 3rd and 4th year students mastering undergraduate programs in "Economics (Accounting, Analysis and Audit), Economics (Finance and Business Analytics)", "Management (Production Management)", "State and Municipal Administration (Regional and Municipal Administration) were surveyed during the experiment." The study identified the following components of lean competencies: 1) knowledge and understanding; 2) skill; 3) implementation. These components correspond to the first three levels of lean competencies according to international classification, namely fundamental lean competencies: knowledge and understanding-level of awareness (1A); skill-level of diagnostics and analysis (1B); implementation-level of improvement and implementation (1C). Diagnostic tools included testing, expert evaluation of case solutions, and lean projects development. Statistical data processing was carried out on the basis of a Fisher F-test variance analysis for three or more independent groups using Statistica 10 and SPSS 20 software.
Some problems of humanitarian training of future specialists in pedagogical specialties using interactive technologies
Authors: Yekimov Sergey , Getmanets Ganna , Miroshnik Larysa , Sosnina Tetyana , Havrylenko Anastasiia , Vasylieva Nadiia , Zymivets Nataliia , Bondarenko Zoya 
Published: February 2021

Abstract
The article examines a number of issues related to the social and humanitarian training of future teachers using interactive technologies. In our opinion, social and humanitarian training should be considered in close connection with educational, methodological, educational and research processes. It is associated with all areas of vocational education and contributes to their successful functioning. In our opinion, more attention should be paid to teaching students of social and humanitarian disciplines using interactive technologies. Their use contains great educational, creative and developmental potential. Social and humanitarian disciplines have an impact on the spiritual and moral behavior and actions of a person, however, traditional approaches to their study, as a rule, do not allow achieving the desired result. Focusing on the degree of importance of studying social and humanitarian disciplines, we substantiate that a person lives in a social and humanitarian environment, and his life is a social process. In the process of studying social and humanitarian academic disciplines using interactive technologies, it increases the flexibility of a person’s thinking, these disciplines have a significant impact on the emotional-motivational sphere of the individual, and also contribute to the development of skills related to introspection and analysis of human relations.
Adaptation of students to distance learning during COVID-19 in terms of cardiovascular indicators
Authors: Bashkireva Anastasia , Bashkireva Tatyana , Morozov Alexander , Osipenko Irina , Abol’yanina Natalia 
Published: February 2021

Abstract
The spread and danger of coronavirus infection for public health led to the transition of educational organizations to distance learning. The article presents the results of studying the adaptation of the cardiovascular system of students to distance learning during the period of COVID-19. To determine the capabilities of bodies to the conditions of distance learning using ICT, we used the Belgian test. The results of the study showed that the health level of boys is undesirable, while that of girls is average.
X-ray studies of multicomponent Sm0.2(Tb,Y)0.8Fe2 alloys
Authors: Politova G A , Yu Vanina P , Alekseeva O A , Filimonov A V , Aleroeva T A , Yu Pankratov N , Burkhanov G S , Ilushin A S 
Published: February 2021

Abstract
The multicomponent Sm0.2(Tb,Y)0.8Fe2 system was obtained by the arc melting method, in which atoms with a high magnetic moment of terbium are replaced by yttrium atoms that do not carry a noticeable magnetic moment. In this system, varying not only the composition, but also external factors (temperature, magnetic field, etc.), it is possible to influence competing exchange interactions and observe a number of unique phenomena, such as, for example, the phenomenon of magnetic compensation. Using the method of high-temperature and low-temperature X-ray diffraction, the phase composition and atomic-crystalline structure of the Sm0.2(Tb1-xYx)0.8Fe2 alloys (x = 0, 0.2, 0.4, 0.6, 0.8, 1) were studied. The temperature dependences of the unit cell parameters were obtained in a wide temperature range from 80 to 700 K. Thermal expansion was investigated by strain-gauge method. The temperatures of magnetostructural phase transitions are determined, and a magnetic phase diagram is constructed.
Identification of key nodes in abnormal fund trading network based on improved pagerank algorithm
Authors: Xiong Jianying , Xiao Wen 
Published: February 2021

Abstract
The traditional network theory is unsuitable for money laundering path analysis because of the complexity of financial transaction. The abnormal accounts are identified only by effectively mining the characteristics of fund flow. The importance of transaction node in the whole illegal capital flow is equivalent to that of the connection among these nodes. Through combining the page rank algorithm with the characteristics of fund flow, an improved weighted and iterative initial value mechanism is designed to calculate the transaction heat value of the account, thus the abnormal capital transaction account is screened out. When the method is applied to a money laundering case, the results show the improved page rank algorithm can effectively screen out the key account nodes in the money laundering network and provide clues for the monitoring of money laundering crimes.
Research on anthrax toxin analysis based on big data mining technology
Authors: Chen Jingfei , Li Hexi , Jiang Huaning , Liang Ting 
Published: February 2021

Abstract
Anthrax is still endemic in some areas around the world, and a large number of people and livestock are at risk of contracting anthrax. As the pathogenic substance of Bacillus anthracis, anthrax toxin plays an essential pathogenic role. Researchers have conducted detailed studies and reports on their genes, structures, and biological activities. However, few articles analyse the field from the perspective of bibliometrics. In the present study, we used bibliometric software such as Citespace to examine the literature data and aimed to provide a reference for researchers in this field. In terms of journals, P NATL ACAD SCI USA, INFECT IMMUN and J BIOL CHEM rank among the top 10 as to the number of published articles and the number of co-citations, and they have an important influence in the field of anthrax toxins. As for researchers, the quantity and quality of the articles published by the three researchers, LEPPLA SH, MOAYERI M, and COLLIER RJ, have advantages. Their research on anthrax toxin is worthy of attention. On the frontiers of research, future research may have various directions, such as the in-depth explanation of the mechanism of anthrax toxin-induced diseases, how to use anthrax toxin to enhance anti-tumour methods to guide the development of new vaccines based on the immunological mechanism of anthrax toxin, and use new materials and technologies to detect different aspects of development of anthrax toxins, etc.
Evaluation of green development level of Marine economy in Guangdong province based on entropy method
Authors: Zhao Ming , Xiao Jianhua 
Published: February 2021

Abstract
Based on the concept of green development, this paper analyzes the green development level of Marine economy in 14 coastal cities of Guangdong province with the help of the entropy method, and boosts the green development of Marine economy in Guangdong Province according to the research results. Starting from the status quo of Marine economy, the paper summasizes the current Marine economic development and ecological environment development in guangdong province, selects two dimensions of economic development and ecological environment protection to build a green ocean economy development index evaluation system in guangdong province, uses entropy method to calculate the index weight, scores for the ocean economy green development level of coastal cities of guangdong province, and analyses differences of green development level among every cities according to the scoring.
Construction of the management model of faculty in applied transition colleges
Authors: Li Guang 
Published: February 2021

Abstract
The professional development of college teachers is not only the internal demand of teachers’ self-development, but also an important means of optimizing school classification management. However, there is no appropriate and reasonable model for the management of college teachers. This paper uses literature analysis, interviews and questionnaire surveys, factor analysis, and structural equation modeling (SEM) methods to establish and verify the application of the six major influencing factors (ideals and beliefs, teacher development conditions, teacher-student relations, talent management, to analyze management model of teacher’s morality and style construction and ability literacy. And correlation analysis is carried out, thus providing direction guidance for the construction of university teachers and school teaching and administrative management.
Selection of audio materials in college music education courses based on hybrid recommendation algorithm and big data
Authors: Li Tianjiao 
Published: February 2021

Abstract
Aiming at the problem of audio material selection in college music education courses and to solve the problem of students’ low enthusiasm caused by improper selection of audio materials, this paper adopts the hybrid recommendation algorithm combining big data, personalized recommendation algorithm based on Collaborative Filtering Recommendation Algorithm (CF). Big data is used to obtain user evaluation matrix, and Pearson correlation coefficient is used to calculate the similarity between users, so as to form the nearest neighbor set, obtain the nearest neighbor set of target users, and generate the user-based recommendation set. At the same time, a questionnaire is set up to obtain the real evaluation scores of each user on the audio materials. 20% of the questionnaire data are used for model testing and 80% for model training. The accuracy of the square root error is measured, and the prediction score obtained by the model is compared with the real score. It is found that the mean RMSE value of the model adopted in this paper is 0.3813, which is at least 2.564% higher than that of similar models, and has a higher accuracy. Meanwhile, the algorithm is relatively simple, providing a reference for audio selection of college students in courses.
Quantitative analysis of enterprises’ talent management based on logistic model
Authors: Liu Dan 
Published: February 2021

Abstract
With the development of my country’s economy, the competition among enterprises has intensified. While obtaining more development opportunities, enterprises are facing new pressures and challenges. Continuously optimizing and adjusting corporate management models is necessary for enterprises to obtain development in more stable basis. Based on the background of human capital data in Beijing in 2019, this article uses the average salary, salary growth rate and job search frequency in different industries and different positions as independent variables, while the impact of turnover rate on the company as dependent variables, using binary logistic regression method, based on the analysis of the results of the calculation example, the practicality of the model is tested and reasonable suggestions are made, which have great reference significance for the enterprises’ talent management work.
Research on comprehensive benefit evaluation based on development and utilization of idle house site in rural area in Yunnan province
Authors: Wang Jing , Xie Ping , Yun Jianhui 
Published: February 2021

Abstract
Along with the process of industrialization, urbanization and “counter urbanization” as well as the movement of population in rural and urban areas, it makes the increase of idle house site in rural area, as well as stimulating the development of the rural house site market. In order to further develop and utilize the idle house site in rural areas, the research takes Yunnan Province as the research target, and analytic hierarchy process is used to determine the index weight, the fuzzy comprehensive evaluation method is used to carry out research on the comprehensive benefit evaluation based on idle house site development and utilization from three aspects of economic benefits, social benefits and ecological benefits. According to the research results, the comprehensive benefit evaluation grade with respect to the development and utilization of idle house site in rural area Yunnan is desirable, but the social benefit is evaluated as general. Therefore, it puts forward some countermeasures and suggestions, such as giving full play to the unique advantages of local area to promote the reuse of idle house site, strengthening the layout and management of rural house site, promoting the construction of auxiliary facilities necessary for the reuse of idle house site etc.
Optimization strategies for online courses in Chinese universities during COVID-19 pandemic
Authors: Zheng Haodi , Li Fei , Ge Liangquan , Zhang Qingxian , Gu Yi , Gu Zhixing 
Published: February 2021

Abstract
During the COVID-19 pandemic, Chinese colleges and universities have online courses all over the country, but there is no definitive model for evaluating the effect of online course education. In addition, most domestic universities analyze the factors that affect online courses from a qualitative perspective, and there are fewer reasonable mathematical models. This paper uses the Logistic model to establish a multiple model between college students’ online course learning conditions and various influencing factors, and uses a questionnaire survey to analyze the learning status of Chengdu University of Technology students who have taken online courses during the epidemic. Comparison of forecasts. It provides a reference for improving the online learning management system and improving students’ online learning level in the future.
The game model of signal transmission between e-waste recycling platform and recycler
Authors: Ji Xuehua 
Published: February 2021

Abstract
The recycling of e-waste has been widely concerned, because it influences human health and the reuse of resources. Based on the signal-passion game theory, this paper establishes the signal game model of internet platform and e-waste recycler, through analyzing the game model of separation equalization, mixed equalization and quasi-separation equalization, which reveals the internal operational mechanism between the platform and e-waste recycler, and emphasizes the separation equalization can achieve the separation of e-waste recycler. Finally, it provides many suggestions for recycling platform how to manage e-waste effectively and how to recycle efficiently for e-waste recycler, as we hope to improve the recovery rate of e-waste.
Design of optical emission system in 3D shape detection with oblique laser triangulation probe
Authors: Yao Qinghua , Cao Miao 
Published: February 2021

Abstract
In 3D laser scanning measurement system, the measurement accuracy of the whole system is determined by the optical system of the laser triangulation probe. This paper studies the optical transmitting system of oblique laser probe to solve this problem in 3D shape detection, based on the analysis of the principle of oblique laser triangulation. In order to reduce the influence of stray light and reduce the geometric distortion of 3D laser scanning measurement system, this paper selected a laser with a wavelength of 650nm as the light source to improve the distribution uniformity of image plane illumination. The design of optical transmitting system of the laser probe applies the beam splitter and normal coaxial layout under the premise of reducing the number of lenses and ensuring imaging quality. Finally, the results are analysed for radial transfer function curve, spot diagram and relative distortion.
A dropout prediction method based on time series model in MOOCs
Authors: Chen Min , Wu Lifa 
Published: February 2021

Abstract
In recent years, MOOCs has enjoyed great popularity due to its convenience and openness. However, with the development of MOOCs, the high dropout rate has aroused extensive attention. By analyzing the data of students’ behavior and then predicting whether students are at risk of dropout, it can improve the course completion rate. Most of the existing methods relying on feature engineering and the sequential characteristic of data is not effectively utilized. In this paper, we propose a time series model named CNN-LSTM-ATT, which focuses more on local valid information and temporal information of the data. Through extensive experiments on a public dataset, it shows that the proposed model can effectively predict students’ dropout behavior.
A Hyper-viscoelastic model for filled-rubber materials: experiments and simulations
Authors: Li Yunyu , Chen Shu , Chen Jing , Shi Shuyan , Peng Longfan 
Published: February 2021

Abstract
Rubber has been widely addressed as anti-vibration components in long time service structure, time-dependent behavior is an undesirable problem contributing to the low acceptance by applications. In this paper, a hyper-viscoelastic model is established so that the tension behavior of rubber is simulated and analyzed. This model is constructed by a hyperelastic element in parallel with a viscoelastic model and Polynomial model, which was examined by uniaxial tension test, was proved validly to be hyperelastic. A fairly good agreement between the tension creep test and analytical results claimed that the Generalized Maxwell model with six variables is suitable for expression of hyper-viscoelastic method. In this paper, by combining the results of uniaxial tensile and tensile creep experiments, a hyper-viscoelastic constitutive model is established, and the experiment is simulated compared with the experimental results.
Leaf area index in Earth system models: how the key variable of vegetation seasonality works in climate projections
Authors: Park Hoonyoung , Jeong Sujong 
Published: February 2021

Abstract
Earth system models (ESMs) are widely used in scientific research to understand the responses of various components of Earth systems to natural and anthropogenic forcings. ESMs embody terrestrial ecosystems on the basis of the leaf area index (LAI) to formulate various interactions between the land surface and atmosphere. Here, we evaluated the LAI seasonality of deciduous forests simulated by 14 ESMs participating in the Coupled Model Intercomparison Project Phase 5 (CMIP5) and CMIP6 to understand the efficacy of recent ESMs in describing leaf dynamics in the northern extratropics from 1982 to 2014. We examined three indicators of LAI seasonality (annual mean, amplitude, and phase) and three phenological dates (start (SOS), end (EOS), and length of growing season (LOS)) of the models in comparison to the third-generation LAI of Global Inventory Modeling and Mapping Studies (GIMMS LAI3g) and the Climate Research Unit gridded time series dataset. CMIP6 models tend to simulate larger annual means (1.7 m2 m−2), weaker amplitudes (0.9 m2 m−2), and delayed phases (226 DOY) compared to the GIMMS LAI3g (1.2 m2 m−2, 1.2 m2 m−2, and 212 DOY, respectively), yet are similar to the CMIP5 models (2.2 m2 m−2, 1.0 m2 m−2, and 225 DOY). The later phase is attributed to a systematic positive bias in EOS of the CMIP5 and CMIP6 models (later by 22 and 18 d, respectively) compared to the GIMMS LAI3g (261 DOY). Further tests on phenological responses to seasonal temperature revealed that the majority of CMIP5 and CMIP6 ESMs inaccurately describe the sensitivities of SOS and EOS to seasonal temperature and the recent changes in mean SOS and EOS distributions (2005–2014 minus 1982–1991). This study suggests that phenology schemes of deciduous forests, especially for autumn leaf senescence, should be revisited to achieve an accurate representation of terrestrial ecosystems and their interactions.
A review on the status and development of hyperaccumulator harvests treatment technology
Authors: Fu Yongzhen , You Shaohong , Luo Xiangpin 
Published: February 2021

Abstract
Phytoremediation is a low cost and green remediation technology, which is widely used in remediation of soil polluted by heavy metals such as cadmium and manganese. However, with the extension and implementation of phytoremediation technology in soil remediation, the disposal of a large number of hyperaccumulator plant harvests has become a hot topic in the field of phytoremediation. These harvests generally contain high concentrations of heavy metals, which can cause secondary contamination if improperly disposed of. This paper reviews the traditional disposal techniques that can be processed by composting process, compaction landfill, Liquid phase extraction, incineration, Ashing and Pyrolysis as well as emerging resource disposal technologies such as phytomining and supercritical water technology and identifies current issues with phytoremediation plants disposal. The possible research directions in the future are also prospected.