bluuebunny/crossref_metadata_2025_split huggingface dataset:
Information Fusion Technology-based Approach to Mining Civic Political Elements in College Curriculum
Authors: Jin Wei 
Published: July 2023

Abstract
The excavation and sorting out of the thinking political elements of college courses directly determines the transmission content, promotion mode, and final effect of the course thinking political. In order to study the role of information fusion technology in the excavation of Civic Science elements in college courses, this paper investigates the current situation of college course Civic Science construction and practices the method of excavating Civic Science elements by information fusion with the help of specific course examples. From the results, both courses have achieved good results. Regarding the mining effect, 56.2% of the students in the first course thought the effect was obvious, and 54.1% of the students in the second course gave the same evaluation. Students who thought the effect was very bad were 3.5% for the first course and 2.8% for the second course. Compared with the research results, the students who think the effect is very good in a comprehensive view have relatively increased by 21.74%, and those who think the effect is very poor have relatively decreased by 25%. In terms of the role of Civic Education, there was a significant increase in students’ educational ratings in the classroom after the element mining method with the help of information integration. The average score of students’ ratings for the first course increased by 5.5 points, a 9.12% increase in comparison, with the highest score being 68.5 points. For the second course, the average student rating increased by 5 points, or 7.95%, with the highest score being 69.5. To sum up, the excavation of Civic and Political elements of college courses based on information fusion technology can effectively improve the excavation effect and the nurturing effect of Civic and Political elements, logically associate Civic and Political elements with professional education, organically integrate them in classroom teaching, and provide conceptual support and material guarantee for the positive development of Civic and Political courses.
Programming application of contemporary jewelry design forms based on Grasshopper software
Authors: Zhou Ningrui , Gao Zhu , Mayusoh Chanoknart 
Published: July 2023

Abstract
In recent years, by the influence of social progress and economic development, jewelry customers have continued to expand the demand gap. Today’s requirements for jewelry design are also more stringent than other design work. Excellent design should be a combination of natural beauty, spiritual beauty, and functional beauty. With the development of the computer industry and the advent of the information age, the design industry has undergone radical changes, and the way of design realization is gradually divided into hand-drawn design and computer-aided design. Although the hand-drawn design is beautiful and free, it is inaccurate and time-consuming. Computer-aided design is fast, accurate, and efficient, and the effect is real and fantasy, which is an important way to improve designers’ design efficiency. In order to address the problem of missing design results due to the weakness of details in the construction of 3D models in the original jewelry 3D design method. In this paper, the Grasshopper parametric design platform is used to prepare a program for the rapid modeling of spatial grid structures, and the details of how the program converts architectural models into SAP2000 structural analysis models are presented. Considering the large amount of work required to construct the surface cells for load application, a secondary masking program based on azimuth calculation is developed further to improve the modeling efficiency and universality of the program. Through an engineering example application, the effectiveness and practicality of the fast modeling program for spatial grid structures are verified, which provides a reference for structural engineers to develop similar programs to improve the modeling and analysis efficiency of complex structures and complete the programming application of contemporary jewelry design forms of Grasshopper software.
Optimization of the quality management path of physical education teaching in colleges and universities integrating modern network technology
Authors: Ou Zhihua , Xie Xiaoxin 
Published: July 2023

Abstract
Since the 21st century, with the rapid development of network information technology, network technology has begun to be widely used in education. Seizing the opportunity of developing new generation information network technology, establishing a broad coverage education informatization system, strengthening the construction and application of network teaching resource system, and accelerating the development and sharing of high-quality educational resources are the current development goals of education informatization. The open sharing platform of physical education curriculum resources based on MOOC network is an important way to “promote the construction, popularization, and sharing of high-quality physical education resources”. The open-sharing platform of teaching course resources based on MOOC network construction and application has increased access to course resources by 10%. It can promote the exchange and sharing of high-quality teaching resources among universities, realize inter-college cooperation and optimal integration of resources, enrich physical education course resources, and promote the overall improvement of the teaching environment. Furthermore, such improvement in physical education teaching mode improves students’ interest, promotes overall physical education development, guarantees the quality of course teaching, and finally enhances the overall teaching level of the school.
Research on Information Literacy Education Model in the Big Data Environment - A Case Study of six Hainan high school Libraries
Authors: Wang Xiaohui , Ye Huiwen 
Published: July 2023

Abstract
Under the overwhealing trend of big data, information literacy is gradually embedded in various applications with broader contents. Due to the new concepts and new technologies, the contents and methods of information literacy education have also changed. In order to further study the mode of information literacy education under the environment of big data, this paper takes six Hainan high school libraries as an example to investigate the students’ understanding level of information literacy education - their perception of the role of information literacy education and their satisfaction with information literacy education. In term of students’ knowledge, 28.25% of students have never heard literacy education, 37.28% have heard but are not sure of the details, and 34.47% know about information literacy education. In terms of students’ perceptions of the role of education, 48.27% thought that information literacy education was important, 48.15% thought that information literacy education was neutral, and 3.58% thought that information literacy education in libraries was not useful at all. In terms of satisfaction, students who are very satisfied, satisfied, and not satisfied with information literacy education is 33.33%, 52.12%, and 14.55% respectively. Our result showed that information literacy education in college libraries still lacks publicity, and developed mulitiple teaching model to attract student attention is necessary. Therefore, we purposed that information literacy education in college libraries should develop diversified publicity based on various media, particular follow the new characteristics of college students’ information acquisition behavior, and expand the scope of information literacy education.
A Systematic Study of Intercultural Listening Strategies in Higher Education Institutions in the Context of Big Data
Authors: Huang Jinyun 
Published: July 2023

Abstract
As society keeps moving forward, intercultural listening strategy is the way to promote international communication skills, and big data technology is needed to provide technical support for intercultural listening strategy in higher education institutions. In this paper, based on the logistic regression algorithm in the context of big data, an intercultural listening strategy model for higher education institutions is established, and the performance of the model is tested in a ten-fold cross-validation experiment, and four indicators are proposed in the intercultural listening strategy model to verify the effectiveness of the model. From the data, the average precision, average recall, average -value, and average -value of the ten sets of test data of the logistic regression model based on big data technology was 77.26%, 77.81%, 77.93%, and 77.56%, respectively, which indicated that all the indicators of the model met the expected performance requirements. From the four example indicators, the mean values of intercultural cognition, intercultural attitude, intercultural behavioral orientation, and listening ability were 58.2%, 60%, 60.61%, and 61.49%, respectively, and overall the higher education institutions had a clear understanding of intercultural listening strategies. The logistic regression model based on big data technology can well analyze the good and bad of current intercultural listening strategies in higher education institutions, and based on the analysis results, we can better improve the deficiencies and then promote the update of intercultural listening strategies in higher education institutions so that students in higher education institutions can show their confidence in the process of international communication and improve their intercultural communication skills.
Innovative research on the construction of experimental teaching platform of economics and management in colleges and universities based on the background of big data
Authors: Li Jing 
Published: July 2023

Abstract
Under the wave of big data technology development, the traditional experimental teaching methods in colleges and universities are difficult to meet the requirements of the educational objectives of the times, and teaching innovation is the focus of teaching research in many colleges and universities, which has attracted the attention of the majority of educational researchers. This paper focuses on the innovation of the construction of experimental teaching platforms of economic management in colleges and universities based on the background of big data. This paper explains the necessity of innovation of economic management experimental teaching platform, proposes the basic framework of innovation of economic management experimental teaching platform (Kube storage cloud data, front-end design, collaborative filtering algorithm), and researches and discusses the innovation mode and operation mechanism of economic management experimental teaching platform based on experimental teaching construction, based on the similarity between the specified time point and other time points The impact of the time factor on the recommendation results of experimental resources is analyzed. The results of experimental teaching resources recommendation reflect the resource recommendation ability of this platform and compare with H5 technology experimental teaching platform and content analysis method experimental platform to analyze the changing trend of MAE of teaching resources recommendation; analyze the number of concurrent connections and clicks of this platform to verify the performance of this platform. The research results show that this paper platform’s experimental teaching resources recommendation effect with MAE value of 0.51 is better than other platforms. The reason is that this paper platform’s experimental teaching resources recommendation fully takes into account the time factor and co-rated experimental teaching resources, so the accuracy of experimental teaching resources recommendation is significantly improved. This study can improve the quality and teaching efficiency of universities and train more excellent economic management talents for the country, which is of great historical significance to the development of China’s economy and education.
Thinking about the strategy and practice path of modern agricultural industry development in the context of big data
Authors: Zhao Yanjun 
Published: July 2023

Abstract
China is in the critical period of “four synchronous development” of industrialization, informatization, urbanization, and agricultural modernization, so it is urgent to find a correct, scientific, and reasonable development strategy for modern agricultural products and promote the development of big data agriculture. In this paper, we use big data technology to determine the algorithm model of agricultural big data technology and the application system of the agricultural Internet of Things and argue for big data for agricultural planting technology, agricultural economic management, and agricultural industry upgrading in order to find the optimal strategy for the development of modern agriculture in China. As of the statistics at the end of 2019, China’s arable land transfer area has reached 440 million mu, accounting for 30.8% of the total contracted arable land area. With the subsequent land transfer entering a standardized and normalized stage, the scale operation of agricultural production is bound to speed up. In recent years, due to the application of big data technology in agricultural production, China’s modern agricultural industry has developed rapidly, with the mechanization rate of farming at around 86% and the contribution rate of science and technology at over 67%, and agricultural production has gained breakthroughs nationwide. Thus, it can be seen that the modern agricultural industry in the context of big data will usher in new development opportunities.
Research on the construction and operation mode of smart city information service system based on IOT technology
Authors: Zhao Yanjun 
Published: July 2023

Abstract
In the network era, smart city information is in an explosive state. There is positive and negative information in the massive amount of information. Much of this information also comes from the Internet of Things sensors. If the information is disseminated without screening, it will affect the credibility of the city’s information. In the Internet of Things, sensors are used as the carriers of target information in the environment, and since a single type of sensor cannot reflect the complex environmental situation, the joint inference of multiple sensors has become a trend and has received more and more attention. In order to build a smart city information service system, the PF-PHD algorithm is proposed for collecting RFS-based PHD algorithm and PF algorithm for multi-target tracking, and the RBPF-PHD algorithm is proposed to solve the multi-target information tracking problem by combining the Rao-Blackwellized idea to improve the PF-PHD algorithm. Finally, the RBPF-PHD algorithm is simulated and analyzed, and the public satisfaction study is conducted on the information service system of smart cities after using IOT technology. The results show that the single update time of RBPF-PHD algorithm is 0.1437s and that of PF-PHD is 0.1471s, and the time of the improved algorithm is slightly lower than that of the original algorithm, so the timeliness is better. In terms of public satisfaction with public information services, the public expectation coefficient is 0.704, the perceived quality coefficient is 0.632, the maturity coefficient of information service is 0.772, and the influence coefficients are over 0.6. Therefore, the smart city information service system based on IOT technology studied in this paper has good service, public trust, and high satisfaction with public information service.
Analysis of distribution network planning with distributed power supply based on ELM algorithm
Authors: Li Qing , Liu Minghong , Wang Hongtao , Jia Zhenghao , Zhou Chen , Wang Wei 
Published: July 2023

Abstract
With the development of the social economy, the importance of energy and environmental issues is becoming more and more prominent. Distributed power sources (DG) have the advantages of low carbon and environmental protection, flexible control, and low investment cost, but their nodes in the grid are random, which will increase the complexity and uncertainty of grid operation after grid connection. In this paper, we study the planning path of DGs in distribution networks and the protection technologies involved. Firstly, we focus on the impact of DG access on the protection of distribution networks and the impact of different access capacities and access locations of DG on the protection of distribution networks. Second, after studying the current status of the application of traditional genetic algorithms in distribution network fault location, a two-layer planning model based on the modified extreme learning machine algorithm (MPSO-ELM) is proposed, with the load demand guaranteed by the first layer of power allocation and the fault location incorporated into the distribution network protection scheme in the second layer. Finally, simulations are performed to compare and demonstrate the advantages of this MPSO-ELM algorithm. The simulation results show that the MPSOELM algorithm converges faster than the traditional genetic algorithm by 7s, the average operating speed of power nodes is 3.61ms faster than the traditional genetic algorithm by 5.59ms, and the accuracy in fault location is improved by 23.14%. The simulation results verify the comprehensiveness, accuracy, and high efficiency of the ELM algorithm for double-layer planning of distribution networks containing distributed power supplies, which is important for improving the level of power grid construction and avoiding the risk of power grid construction.
Sistem Informasi Pelayanan Masyarakat di Kecamatan Jangkar Berbasis Web dan Via Whatsapp Gateway
Authors: Puspita Dyah Ayu , Azise Nur , Lutfi Ahmad 
Published: July 2023

Kecamatan merupakan salah satu lembaga pemerintahan pelayanan masyarakat dan disebut dengan pelayanan publik. Kegiatan pelayanan masyarakat di Kecamatan Jangkar saat ini masih dilakukan secara konvensional sehingga membutuhkan waktu lama dan mengharuskan pemohon untuk mendatangi kantor terlebih dahulu. Tujuan dibuatnya Sistem informasi pelayanan masyarakat di Kecamatan Jangkar berbasis website dan via whatsapp gateway ini dapat memudahkan masyrakat dalam pembuatan surat secara online. Sehingga pemohon hanya melakukan registrasi dan mengisi persyaratan tanpa harus mendatangi kantor. Pemohon juga bisa melakukan pengajuan yang akan ditandatangani online oleh Camat. Pemohon juga bisa melihat status surat yang telah diajukan, dan ketika surat telah selesai pemohon akan mendapat notifikasi via whatsapp gateway. Sehingga hal tersebut bisa untuk meningkatkan kualitas pelayanan di Kantor Kecamatan Jangkar. Sistem ini juga menggunakan metode waterfall dan jenis penelitian kualitatif.
Establishing Critical Constructivism in Learning Teaching Through Developed Self-Assessment Framework
Authors: Bhatnagar Anjali 
Published: July 2023

Schools in general carry the fundamental responsibility of moulding and transforming society to meet the dynamic inherent. Under the scenario, it becomes immensely relevant to challenge the underpinning processes for the sustainable growth and development of any nation. The research work explores the concept of critical constructivism, in the light of Paulo Freire's philosophy to support the pertinent and ostensible transformation desired. The study develops the self-assessment framework to evaluate the preparedness of schools towards a critically constructivist classroom. The developed framework was implemented in schools of different governance to evaluate the current proposition in the context. The self-assessment framework establishes credential credibility through quality process viability assessment. The results of the study reflect upon the gaps and way forward to enable critically constructivist classrooms.
Specific inflammatory profile of acute ischemic stroke patients with left atrial enlargement
Authors: Fontaine Julia , Leboube Simon , Bochaton Thomas , Thibault Hélène , Amaz Camille , Cho Tae-Hee , Paccalet Alexandre , Crola Da Silva Claire , Duhamel Suzanne , Buisson Marielle , Rascle Lucie , Bidaux Gabriel , Ovize Michel , Nighoghossian Norbert , Mechtouff Laura 
Published: July 2023

BackgroundThe inflammatory process underlying atrial myopathy may affect the inflammatory response activated in acute ischemic stroke (AIS).ObjectivesWe aimed to assess whether left atrial enlargement (LAE) as a marker of atrial myopathy is associated with a different profile of circulating inflammatory markers in AIS patients.MethodsHIBISCUS-STROKE is a cohort study including anterior circulation AIS patients treated with mechanical thrombectomy following MRI. Ten circulating inflammatory markers were measured at admission and 6, 24, and 48 h after admission. LAE was defined as a left atrial volume index (LAVi) ≥34 ml/m2. A multiple logistic regression model was performed to detect an independent association between the area under the curve (AUC) of these markers and LAE.ResultsWe included 143 patients. Of them, 85 (59.4%) had LAE. On univariable analysis, we found that patients with LAE had higher soluble form suppression of tumorigenicity 2 (sST2), soluble tumor necrosis factor receptor I (sTNFR1), and vascular cellular adhesion molecule-1 (VCAM-1) AUC, were older, mostly female, had a higher National Institutes of Health Stroke Scale (NIHSS) score and blood glucose level at admission, had more often hypertension, and a cardioembolic source of AIS, such as atrial fibrillation, while they were less frequently current smokers and had a lower rate of tandem occlusion than patients without LAE. On multivariable analysis, we found that among circulating inflammatory markers, only high VCAM-1 (OR: 9.13, 95% CI: 3.21–25.9) and sST2 (OR: 3.40, 95% CI: 1.68–6.86) AUC remained associated with LAE.ConclusionsHigh VCAM-1 and sST2 levels within the first 48 h are associated with LAE in AIS patients.