bluuebunny/crossref_metadata_2025_split huggingface dataset:
Management and Control Platform of Auxiliary Drugs Based on Big Data
Authors: Wang Shasha , Wang Huixia , Miao Miaomiao , Li Juan , Gu Dianjie , Ding Li 
Published: February 2021

Abstract
In recent years, with the introduction of national, provincial and municipal policies, rules and regulations, and the introduction of big data technology, drug control personnel have further increased their awareness of data. However, in practice, how to carefully control drugs and make full use of big data technology to improve the level of control has become a new confusion for drug control personnel. Therefore, the purpose of this paper is to study the platform of auxiliary drug control based on big data. Based on the actual situation of drug use, this paper analyzes the main problems in the process of drug control, and designs an auxiliary drug control platform based on big data. The auxiliary drug management and control platform based on big data proposed in this paper can collect data in real time, comprehensively analyze all kinds of information, and realize intelligent management and improve the efficiency of each specific application scenario. In this paper, through the research of drug use management and control platform, doctors can get scientific guidance in formulating drug use plan, and the efficiency of drug query is improved by about 80% compared with the traditional plan. At the same time, the drug use plan can be improved in time according to the patient’s illness development in the process of drug use, which promotes the rational and standardized clinical application of drugs.
Design of Print Creation System Based on Digitization
Authors: Song Yongjun , Liao Xiayan 
Published: February 2021

Abstract
In recent years, China’s digital technology has been rapid development, the transformation and upgrading of traditional industries through digital technology is one of the current mainstream trends. In this context, a new concept of digital art is put forward, and the traditional art creation forms affected by this have been completely changed, which also includes print creation. However, there are still many deficiencies in the existing digital print creation system. Therefore, this paper puts forward the design and research of digital print creation system. This paper makes a detailed investigation on the main advantages of digital technology on print creation. Through the survey results, it can be seen that the use of digital technology can enrich the color and form, make the picture more realistic, enhance the artistic value, enhance the function application, create more efficient, and create more novel and so on. However, there are still some shortcomings in the existing creation system, such as poor painting effect, lack of originality and novelty. Therefore, this paper optimizes and improves the digital print creation system. The traditional inertia thinking is broken through genetic algorithm, and personalized optimization is carried out according to the characteristics of print creation, which not only simplifies the calculation steps, but also improves the calculation accuracy. In order to further verify the effectiveness of this method, this paper compares the traditional methods and analyzes the final synthesis effect. The experimental results show that the signal-to-noise ratio of the print image processed by this method is much higher than that of the traditional method, which proves the effectiveness of the proposed method.
Design of Flipped Classroom Mode for Ideological and Political Education Based on Online Multimedia Platform
Authors: Liu Jiao 
Published: February 2021

Abstract
With the rapid development of educational resources and electronic information equipment, the teaching effect presented by the traditional ideological and political education model has been unsatisfactory. At present, in terms of classroom teaching mode, there is still a lack of interaction between students and between teachers and students in the classroom. Multimedia is only a tool to unilaterally display teaching content, and does not exert greater value. This leads to a lack of learning autonomy of students and poor learning effects. Therefore, this article combines the actual situation of ideological and political education, introduces the concept of network multimedia platform to carry out the application design of the flipped classroom mode, and establishes a new ideological and political education system with the help of the network learning platform, sets research tasks and learning goals for students, and improves them Self-learning ability and interest in course learning. Based on this, this article sets up an experimental group and a control group. The experimental group uses the flipped classroom model to carry out ideological and political education, and the control group uses the traditional classroom teaching model to carry out ideological and political education. The comparative analysis of the questionnaire shows that the classroom teaching model of ideological and political education based on the online multimedia platform can effectively improve the enthusiasm of students’ learning and activity participation.
Comparison Research on Different Mitigation Strategies of Supply Chain under Supply Disruption Scenarios
Authors: Lu Jianchang , Zhang Qing , Fan Weiguo 
Published: February 2021

Abstract
With the rapid development of economic globalization, global procurement and supply, lean on-time production and other methods have been widely used. The single competition between enterprises turns into the competition between supply chain and supply chain. However, the occurrence of natural disasters, terrorist attacks and the game and coupling of the internal structure of the supply chain make the supply chain encounter the interruption crisis in the process. Therefore, studying different mitigation strategies for the interruption of node locations in the supply chain is particularly important. In this paper, supply interruption cases are designed, and the simulation models of the dual-chain one-way coordination strategy mode and the dual-chain multi-node two-way coordination strategy mode are constructed by combining system dynamics. The dynamic operation mechanism of supply chain system with different mitigation strategies is deduced by two indexes of “inventory level” and “order accumulation rate”. The results show that the “dual-chain multi-node two-way coordination strategy” has the best performance in improving the defense ability of node enterprises.
The Layout Optimization of Non-Fossil Power Long-Term Goals and Impact on China’s Power Sector-Based on Multi-Objective Preference
Authors: Qin Jun-Peng , Dai Yao 
Published: February 2021

Abstract
With more and more investment in renewable energy and the earlier retirement of coal-fired energy infrastructure, the low-carbon transition will lead to higher costs for reshaping the power system. In order to obtain the impact of low-carbon transition in China’s power sector under different preferences, this article analyzes the optimal path of the power sector under four scenario preferences based on China’s long-term non-fossil energy target. The results show that in 2040, UHV DC transmission technology of 800KV and 1000KV will dominate the cross-regional transmission system with an ultra-high proportion of over 90%. The newly built transmission capacity in the northwest will exceed 200GW in each scenario. Relying on UHV lines, the country’s installed capacity for clean energy will increase to 66%. The total installed capacity of wind and solar is concentrated in the Three Norths, accounting for 77%, and nuclear power is mainly concentrated in East China, accounting for 43.9%.
Medical Text Entity Recognition Based on Deep Learning
Authors: Zhang Linjun , Wu Hao 
Published: February 2021

Abstract
Named entity recognition is a very important basic task in natural language processing, and a basic technology for many high-level applications of natural language processing. Traditional methods to solve named entity recognition are mainly based on rules and statistics. The rule-based method requires strong linguistic knowledge and is poor in generality. Based on the above background, the purpose of this paper is to recognize medical text entities based on deep learning. This paper proposes a new LSTM framework that integrates dual-channel and sentence-level reading control gates. In the input part, double channels are added to obtain two kinds of semantic information from static word vectors and fine-tuned word vectors. Then, the read-in control gate is integrated inside the neural network to determine the propagation of the sentence representation vector. Finally, the CRF model is used to fully consider the dependency relationship between the types of context words when outputting tags. The F1 value of 89.49% was achieved on the BioCreative II GM corpus. In summary, this article applies two deep learning methods to improve the performance of biomedical named entity recognition tasks. Finally, without adding any artificial features and post-processing operations, this article has achieved 89.94% F1 value on the BioCreative II GM corpus, and it is 0.89% higher than the F1 value of the current best system.
Optimization of E-Commerce Logistics Distribution Path Algorithm under the Background of Big Data
Authors: Yu Feng , Zhou Yingjie 
Published: February 2021

AbstractIn recent years, online shopping has become a major development trend of shopping. The traditional e-commerce logistics distribution mode has played e-commerce by taking advantage of the advantages of the distribution path algorithm. However, with the increase of the order quantity, the previous path optimization algorithm is no longer efficient. This paper makes an in-depth investigation on the main problems existing in China’s e-commerce logistics. Through the analysis of the survey results, we can see that there are mainly problems such as low degree of data application and imperfect function of logistics information platform. Aiming at these problems, this paper optimizes the logistics distribution routing algorithm according to the actual demand. Through the establishment of three-dimensional constraint model, the problem of low efficiency in the traditional model is effectively improved. In contrast with the genetic algorithm, the distribution mileage of the optimization algorithm is reduced by more than 25% compared with the genetic algorithm, which improves the comprehensive performance of the model. Constraint model established in this paper makes up for the shortcomings of the current e-commerce logistics distribution path algorithm to a certain extent, and makes a contribution to the development of China’s e-commerce logistics distribution field.
Research on the Application of College Basketball Course Based on the Concept of Network Experiential Teaching
Authors: Wei Wenting , Wei Jinrui , Fang Wenxuan 
Published: February 2021

Abstract
With the strategy of invigorating the country through science and education and strengthening the country, the relevant education departments in various parts of our country gradually put emphasis on talent education. Basketball is one of the physical education courses in Colleges and universities. At present, the teaching methods and skills of basketball in Colleges and universities are relatively simple. Experiential teaching is a new modern teaching mode. Based on this, this paper puts forward to apply the network experience teaching concept to the efficient basketball course, improve the teaching quality of college basketball teaching with the help of network-based experiential teaching, and cultivate high-quality talents. In this paper, we set up the experimental class and the control class. The experimental class uses the network experience teaching to carry on the university basketball curriculum, while the control class uses the current physical education teaching for college basketball curriculum. At the end of the semester, through comparative analysis, it shows that the college basketball course designed in this paper has played the subjectivity of students. In the final examination, more than half of the students have achieved good results. Experiential learning enhances students’ interest in learning and improves their comprehensive quality in an all-round way.
An Improved Iris Recognition Method Based on Wavelet Packet Transform
Authors: Wang Yonghui , Zheng Haoran 
Published: February 2021

Abstract
Wavelet packet decomposition transformation is an extension of wavelet transformation, which can achieve more refined decomposition and get more wavelet packet subgraphs. In order to improve the recognition accuracy of iris, an improved iris recognition algorithm based on wavelet packet transform is proposed. First locate and normalize the inner and outer edges of the iris, then obtain the wavelet packet subgraphs through wavelet packet decomposition, calculate the coefficients of each subgraphs to obtain the iris feature vectors, and then calculate the Hamming distances of the corresponding feature vectors of the two iris images, according to different subgraphs. The calculated coefficients are identified by the weighted Hamming distance classifier.
An effort to train the biological computation skill and teach animal phenetic taxonomy to pre-service biology teacher
Authors: Rahayu D A , Ambarwati R , Faizah U 
Published: February 2021

Abstract
Computational biology skills for studying phenetic taxonomy is inseparable from learning outcomes of Animal Systematics Course. Pre-service biology teachers are expected to have computational biology skills, which can support further study in bioinformatics. This study was aimed to train computational biology skills and evaluate learning outcomes of phenetic taxonomy material. Phenetic taxonomy practicum was held online and assignments were given as mini-projects. Indicators of biological computation skills were evaluated using ntsys 2.2 software and analysis of resulting dendograms based on synapomorphy, automorphy, and apomorphy. Respondents consisted of three classes contained 84 students who programmed Animal Systematics Course. Computational biology skills were quantified based on self-assessment questionnaire while learning outcomes were evaluated based on mini-project assessment. Data were analyzed using descriptive quantitative method. Results indicated that mastery of computational biology for phenetic taxonomy was very good, as supported by students’ ability to use Ntsys software of 86.04%, dendogram analysis of 83.33% or categorized as good. In addition, learning outcomes of phenetic taxonomy were classified as good with average score of 77.7 ± 4.17. Evaluation of qualitative assessment data showed that computational biology skills supports the development of higher-order thinking skills (data synthesis, analysis, and evaluation) of pre-service biology teachers.
Development of ILAU based on PBL-STEM model with formative assessment as an opportunity to improve problem solving skills in heat and temperature topics
Authors: Alfiana R , Parno  , Yogihati C I 
Published: February 2021

Abstract
Independent Learning Activity Unit (ILAU) is a learning media that can develop independent learning strategies. However, instructional media that are based on contextual issues, practice aspects of STEM, and use independent learning strategies have not been developed. The purpose of this study was to develop and test the feasibility of ILAU based on Problem Based Learning (PBL)-STEM with formative assessment so that it was feasible to function as an opportunity to improve problem solving skills in heat and temperature topics for XIth grade of senior high school. The research design used Borg & Gall’s research and development model which consisted of three main steps: (1) initial study, (2) product development; (3) product testing. The instruments in this study were: (1) Learning Implementation Plan validation questionnaire; (2) ILAU validation questionnaire; (3) ILAU readability test questionnaire. The results of expert and practitioner validation showed that Learning Implementation Plan developed had average feasibility percentage of 100%, and ILAU had average feasibility percentage of 99%. The results of the readability test by 33 students showed that ILAU had average readability percentage of 93%. Thus, it can be concluded that Learning Implementation Plan and ILAU developed based on the PBL-STEM model with Formative Assessment have very feasible category so they can be used to improve problem solving skills.
Effect of metacognition and self-efficacy on scientific achievement by prospective science teachers of Madura through student creativity
Authors: Yasir M , Wulandari A Y R , Wahyudi I 
Published: February 2021

AbstractThe low student achievement is influenced by several factors, including metacognition, self-efficacy, and creativity in learning. This study aims to determine how much effect of metacognition and self-efficacy toward scientific achievement through student creativity of prospective science teachers of Madura. The research was carried out on all student in Natural Science Education Study Program, University of Trunojoyo Madura with a total population of 390 students. This study is Ex Post Facto, data of metacognition, self-efficacy, and student creativity collected through questionnaires and scientific achievement using documentation. Data were analyzed using SEM analysis techniques. The results showed that regulation of metacognition and self-efficacy positive and significant impact on the student creativity with each estimated value γ11=0.265 and = γ12= 0.356 positively with α = 0.05, > p = 0.01, and student creativity has positive and significant effect on scientific achievement with the value B21= 3.109. Metacognition knowledge and self-efficacy does not directly influence student achievement, but through regulation of metacognition and self-efficacy through student creativity together shown to result in a significant and positive effect on scientific achievement of prospective science teachers of Madura.
The Effectiveness of reflective-inquiry learning model to improve preservice-teachers’ critical thinking ability viewed from cognitive style
Authors: Verawati N N S P , Hikmawati  , Prayogi S 
Published: February 2021

Abstract
This study aims to explore the effectiveness of Reflective-Inquiry Learning (RIL) model to improve the critical thinking ability of preservice-teachers viewed from cognitive style. Quasi-experimental research using one sample group was conducted in this study. The research sample consisted of 24 (twenty-four) preservice-teachers consisting of 14 (fourteen) males and 10 (ten) females. They are preservice-teachers (PTs) in the physics education study program – Universitas Pendidikan Mandalika (Undikma). Measurement of cognitive style using GEFT to classify the sample group into the field dependent (FD) and field independent (FI) cognitive style. Pre-test and post-test to measure the critical thinking ability of preservice-teachers. Data were analysed descriptively and statistically, where the n-gain test, normality test, and t-test (pair-t test) were conducted. The results of the study have shown that the RIL model is effective in improving the critical thinking ability of preservice-teachers in both the field dependent (FD) and field independent (FI) cognitive style. The results of further studies are described in this article.
The impact of learning management system implementation on students’ understanding of mechanics concepts
Authors: Gunawan G , Harjono A , Suranti N M Y , Herayanti L , Imran I 
Published: February 2021

AbstractThe Learning management system (LMS) is an effective model of learning for solving the teaching problems. Effective learning will help students achieve better understanding of the concept. This article discusses the use of LMS in teaching mechanics and its effect on student understanding. This quasi-experiment research used one group post-test design. The sample used was 21 students from one of the higher educations in Mataram, Indonesia. The instrument used was the conceptual understanding test in multiple choices. The test consists of 30 questions which are divided into three mechanics concepts, namely Newton’s Laws of Motion, Work and Energy, and Simple Harmonic Motion. Each data was analyzed using simple statistics. The findings showed that the use of LMS had a positive impact on students’ understanding of each topic of mechanics concepts. The highest average score on the topic of Work and Energy. The lowest average score is on Newton’s Laws of Motion. LMS is an alternative platform for developing students’ understanding of concepts in each cognitive aspect.
Choosing dy or dx? Students’ Preference for constructing integral form on Area-related problem
Authors: Hidayat D , Kohar A W , Artiono R 
Published: February 2021

Abstract
Students are often found dilemmatic when constructing an integral form of a calculus problem. This is a descriptive-explorative study aiming at investigating college students’ preference for constructing integral form of area-related problem. Data were collected from 63 responses of college students who were taking an Integral Calculus course at a university in Surabaya on an integral problem related to area between curves containing two regions. Data were analysed by categorizing students’ responses regarding the succesfulness of responses and preference regarding symbol notations : upper and lower limit, integrand, and variable of integration (dy or dx). The results showed that for the first region, 71% of students could successful to construct integral form, while 24% of them were unsuccesful, and 5% students did not give any responses. Meanwhile, for the second region, 10% of students could successful to construct integral form, while 78% of students unsuccesful, and 13% students did not give any responses. The preference of students in choosing dy or dx as part of integral notation was explained and the students’ misconceptions that arise in constructing the integral notation were also discussed.
Understanding definite integral concepts of prospective teachers through actions and processes based on gender difference
Authors: Langi E L , Juniati  , Abadi  
Published: February 2021

AbstractThis research was a qualitative research which aimed at describing the understanding of the integral concept of prospective teachers through actions and processes in terms of gender difference. The research subjects were one female student and one male student of Mathematics Education study program. Data were collected through assignment sheets and followed by interviews. After data were analyzed, it was found that the action of the female subject in determining the definite integral was certainly shown by completing the integral task procedurally using the appropriate formula. At the action stage, in determining the total area female subject directly used the integral formula regardless the form and location of the region formed by a curve. The action of male subject in determining the integral was certainly similar to the female subject. It was shown by calculating the integral using the appropriate formula. For the task of determining the total area under the curve, male subject first described the form of the curve and paid attention to the position of the region with respect tox-axis. At the process stage, female subject explained the steps to complete the integral. When explaining how to calculate the total area under the curve, the female subject explained the solution steps regardless the position of the region. Meanwhile, the process stage of male subject was shown by explaining the steps and revealing the reasons for using the formula he used after identifying the form of the given integral. The male subject gave attention to the position of the region with respect tox-axis when calculating the region.