bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effective integration of traditional culture and kindergarten drama based on fuzzy numerical analysis algorithm
Authors: Cheng Zhihong , Cheng Yu 
Published: November 2023

Abstract
This paper describes the complexity and uncertainty of traditional culture and kindergarten drama and evaluates the impact on the integration by providing a reasonable measure of the degree of fuzziness of the fuzzy numerical analysis algorithm. Using the affiliation function for traditional culture and kindergarten theater for measurement, the fuzzy set affiliation function curve determines the corresponding element of the center of gravity of the theater, and that traditional culture element is used as the exact output value. It was found that the proportion of kindergarten drama education activities in appreciating drama works accounted for 56.75%, and the corresponding standard deviation in feeling traditional culture was the highest at 3.916. The importance of drama education activities with traditional culture as a carrier in the core literacy of young children cannot be ignored.
Optimization of furniture combination design and space configuration based on graph theory
Authors: Xie Yahui 
Published: November 2023

Abstract
This paper is based on graph theory, combined with a particle swarm optimization algorithm to find the optimal solution in the whole particle swarm through continuous iteration and obtain the sum of squares of each variable in the particle cognitive domain. Searching for the global optimal position calculates the inertia weights in the particle swarm algorithm and changes the velocity and position of the particles based on the motion properties of graph theory to improve the global search ability. The domain competition operator is executed after particle swarm initialization, and a hybrid crossover strategy is used to select a crossover point, which improves the algorithm’s performance by exchanging information with the global optimum. Based on graph theory, the spatial configuration optimization of furniture combinations is scored, in which the average score of furniture space ranges from 3.3 to 6.2, and the average score of spatial configuration optimization ranges from 4.5 to 8. Therefore, based on graph theory, the reasonable furniture form for spatial layout optimization can fully reflect the practical function of the space, comfort, and the creation of a spatial atmosphere.
Big Data Algorithm and Zhejiang Opera Culture Gene Mapping
Authors: Hao Da , Xi Qin , Xia Yuanyong , Jin Yao 
Published: November 2023

Abstract
This paper proposes the design of the Zhejiang opera culture gene map using the Zhejiang opera culture gene and gene map. Secondly, it focuses on the application of data mining algorithms in managing opera culture resources, including indexing and querying of dissemination track data and mining Zhejiang opera culture data resources. Finally, the application effect of data mining in Zhejiang opera culture gene mapping is demonstrated through an example analysis. The results show that for the multi-valued attribute dataset of trajectory data of Zhejiang opera culture, the execution time of the optimized algorithm is reduced by 848 ms under a 1% support rate and 88 ms under a 10% support rate compared with the Apriori algorithm. This paper reveals the inner connections and characteristics of Zhejiang opera culture through a data mining algorithm for cultural gene mapping, providing a scientific basis.
Integration mechanism of moral education concept and civic education in colleges and universities based on proximal strategy optimisation algorithm
Authors: Jing Yangjun 
Published: November 2023

Abstract
This paper firstly researches the integration of the concept of establishing moral integrity into the work of Civic and political education in colleges and universities and analyzes the thinking and path of the integration of the concept of establishing moral integrity into the work of Civic and political education in colleges and universities, to put forward a new system of Civic and political courses under the concept of establishing moral integrity and establishing people. Secondly, under the perspective of reinforcement learning, the Bellman optimal strategy equation, direct strategy search, and proximal strategy optimization algorithm are compared, respectively, and then the Civic and political education based on the proximal strategy optimization algorithm is proposed. Then, the online learning group formation strategy of the Civics course is constructed through the proximal strategy optimization algorithm, and the Civics education in colleges and universities based on the proximal strategy optimization algorithm is empirically analyzed. The results show that in the algorithmic analysis, the PPO algorithm is overall superior to the path-based, embedding-based, and strategy network reinforcement learning-based methods on the FB15K-237 dataset. On analyzing online learning group formation strategies for Civics courses, the first group of learning members tends to prefer audio learning resources, and the fourth group prefers text learning resources, with a clear manifestation of proximity. This study has promoted the concept of “cultivating morality and nurturing people” throughout the work of Civic and Political Education.
Application of EFL pedagogy based on cloud computing platform in online interactive teaching of foreign languages
Authors: Zhang Jieyu , Li Xiuchen 
Published: November 2023

Abstract
Internet information technology has greatly aided the improvement of EFL teaching. Aiming at the weaknesses of traditional EFL teaching, this paper proposes a hybrid EFL teaching model based on the cloud computing platform, which is designed in terms of both object model and platform architecture. In the task assignment of EFL teaching, the CRP algorithm is improved based on fuzzy control, and the FCRP algorithm for teaching task assignments is constructed. Meanwhile, from the needs of professional training, the recommendation optimization of teaching resources was realized through keyword parsing, and the resource recommendation effect and learning input were analyzed based on the performance test. The final results of the platform test in this paper show that the average response time for login and query is 1.621 seconds and 0.935 seconds, respectively, and both meet the EFL interactive teaching requirements.
Realization Path of Geographical Indication Branding of Agricultural Products to Boost Rural Revitalization
Authors: Yang Qingqing 
Published: November 2023

Abstract
To reflect the value of branding agricultural geographical indications in promoting rural revitalization, this paper analyzes the branding of agricultural geographical indications by constructing a SWOT matrix from the perspective of rural revitalization and building a “four-in-one” branding system of agricultural geographical indications. It also quantifies the value of branding of agricultural geographical indications and evaluates the brand value based on the Interbrand model combined with principal component analysis and fuzzy comprehensive calculation. Through empirical analysis, it is concluded that the contribution degree of brand assets accounts for 0.29, the overall rating value G=86.6, and the brand value assessment result is 958 million yuan, which yields the error between the actual value and the assessment value within 0.1. Based on this study, branding agricultural products with geographical indications boosts rural revitalization.
Applying Fuzzy Cluster Analysis to Study the Efficiency of Sports Resource Allocation in Urban Communities
Authors: Wang Fang 
Published: November 2023

Abstract
In the context of sports development, the demand for sports resources is increasing daily, and improving the efficiency of sports resource allocation is especially important. This paper first explores the principle of sports resource allocation, selects indicators according to input and output, and constructs an efficient evaluation system for sports resource allocation. Then, we use the fuzzy cluster analysis method to optimize the objective function and the FCM algorithm to select the cluster center and the number of clusters. To study the efficiency difference between urban and rural sports resource allocation, we analyzed the effectiveness and reliability of sports resource allocation in urban communities. The study shows that the average classification accuracy of the FCM algorithm is 97.87%, and the mean value of sports resource allocation efficiency in towns is 0.1348 higher than that in villages.
A research on the adaptation problems of students returning from military service in higher education institutions based on subject knowledge mapping
Authors: Wang Minmin , Shan Wenrong 
Published: November 2023

Abstract
The article examines the constraints that limit the learning adaptability of retired re-entry students, beginning with a discussion of their behavioral characteristics. It analyzes the smart learning supported by artificial intelligence technology, constructs a model of the learning adaptability of retired and re-entry students through the smart learning environment, and realizes the personalized learning path recommendation for retired and re-entry students based on the disciplinary knowledge map and KgRank algorithm. To investigate the adaptability of retired and re-study students in higher vocational colleges and universities, an empirical analysis was conducted. The results show that the students scored less than 3 in five aspects: the difficulty of the course, the teacher’s teaching style, the teacher-student relationship, the learning method, and the adaptability to university study. There is no significant difference between the adaptability of students of different genders and academic backgrounds, i.e., P>0.05, which indicates that the problem of adaptability of students returning from military service in higher vocational colleges and universities is more prominent, and colleges and universities must join forces with multiple departments to help students return to military service to adapt to the campus learning life better.
Adaptive Differential Evolutionary Algorithm for Innovative Teaching and Learning in High School Project-Based Courses
Authors: Hu Liangliang 
Published: November 2023

Abstract
In this paper, for the innovative teaching of high school project-based courses, an adaptive differential evolutionary algorithm is used as one of the tools of the project to help students solve complex problems. The traditional adaptive differential evolution algorithm has the problems of local optimum and low convergence accuracy; to overcome these limitations, this paper proposes an enhanced reverse learning adaptive differential evolution algorithm. The OL-ADE algorithm is improved by introducing the reverse learning strategy in machine learning to extract the reverse elite individual population from the original individual population and select the better-adapted individuals for mutation operation. After the project-based teaching, the students’ works have high scores in layout color matching, technical operation, organization, information awareness, and information social responsibility, and their scores are 8.6, 9.75, 9, 9.35, and 8.75, respectively. Therefore, this paper proves the Adaptive Difference Evolution algorithm’s effectiveness in innovative teaching of high school project-based courses.
Construction of a big data platform for infrastructure in the rural revitalisation strategy
Authors: Han Bo , Yu Jia , Bi Mingyan , Fang Li 
Published: November 2023

Abstract
In the context of rural revitalization strategy, this paper uses an adaptive density-sensitive similarity measure method to improve based on a spectral clustering algorithm and combines with coordinate visualization technology to cluster rural infrastructure data for visualization. On this basis, a rural infrastructure big data platform is constructed by designing data management, data analysis and data visualization, and the overall performance of the rural infrastructure big data platform is tested in the configured test environment. The results show that when the visualization node is 50000, the running time is only 153.8s, the big data platform can output data stably, the proportion of failure is within 3%, and the corresponding time of each interface on the line is also 1000ms. Based on this research, the infrastructure for a big data platform in rural revitalization strategies can be successfully constructed.
Applying parametric modelling to generate the ecosystem path of innovation and entrepreneurship education in applied undergraduate colleges and universities
Authors: Deng Lili 
Published: November 2023

Abstract
This paper firstly researches the generation path of innovation and entrepreneurship education ecosystem in applied undergraduate universities from the four aspects of education ecosystem, teacher team, conceptual change and system mechanism. Then, it constructs the ecological index system of innovation and entrepreneurship education and transforms the model into a parametric model by modeling the mean value parameter and dispersion parameter and approximating the smooth function of the model by using the Bayesian P-spline method. Finally, University H is taken as an example to evaluate and test the innovation and entrepreneurship education system based on the parametric model. The results show that education and teaching occupy a large proportion of the ecosystem, indicating that by actively initiating or participating in the innovation and entrepreneurship education ecology, applied undergraduate colleges and universities can rely on social capital endeavors to prompt a constant input of resources into the ecosystem, thus maintaining the benign and sustainable development of the innovation and entrepreneurship education ecosystem.
Hubungan Antara Self-Compassion dan Gaya Hidup Sehat Pada Mahasiswa
Authors: Nabila Sekar Rizki , Febriani Zulfa 
Published: November 2023

Mahasiswa saat ini memiliki beberapa masalah dalam menerapkan gaya hidup sehat seperti tingkat asupan gizi yang kurang baik, aktifitas fisik yang rendah, mudah stres. Mahasiswa perlu menerapkan gaya hidup sehat agar memperoleh kesehatan tubuh dan mental yang optimal. Salah satu faktor untuk meningkatkan gaya hidup sehat adalah self-compassion karena self-compassion mengacu pada cara sehat yang berhubungan langsung dengan dirinya sendiri. Penelitian ini, bertujuan untuk mengetahui signifikansi hubungan antara self-compassion dan gaya hidup sehat pada mahasiswa serta mengetahui tinjauannya dalam Islam. Partisipan adalah 170 mahasiswa berdomisili di kota-kota besar di Indonesia yang dipilih dengan teknik accidental sampling. Hasil penelitian dengan uji kolerasi spearman menunjukan bahwa self-compassion berkorelasi positif dan signifikan dengan gaya hidup sehat pada dimensi hubungan interpersonal, pertumbuhan spiritual, dan manajemen stres, dan tidak berkorelasi dengan dimensi nutrisi, tanggung jawab kesehatan dan aktivitas fisik.. Keterbatasan pada penelitian ini adalah perlu upaya promosi kesehatan dengan meningkatkan rasa self-compassion mahasiswa baik melalui praktisi maupun akademisi, serta edukasi kesehatan secara holistik.
Electrochemical Study of Sunset Yellow and its Determination in Soft Drink by Differential Pulse Adsorptive Stripping Voltammetry Using Ag-ErGO/GCE
Authors: Giang Le Thi Huong , Trang Doan Thi Thu , Giang Dang Minh Huong , Nhan Pham Thi Thanh , Mai Nguyen Thi , Bang Do Trong , Thuong Nguyen Thi Kim 
Published: November 2023

The electrochemical behavior of sunset yellow on the glassy carbon electrode modified with silver and reduced graphene oxide has been investigated by cyclic and differential pulse adsorptive stripping voltammetry. The electrochemical behavior of sunset yellow was reversible and adsorptive on the working electrode. The optimal conditions were obtained as follows: Britton-Robinson (BR) buffer at pH 8.0; adsorption potential 0.4 V; adsorption time 50 s; sweep rate 50 mV/s; linearity range from 10-7 M to 10-6 M; the limits of detection and quantitation were 2.5 × 10­-8 M and 8.3 × 10­-8 M, respectively. The procedure was successfully applied to determine sunset yellow in soft drink samples.
A comparison of Delta and Omicron waves of COVID-19 pandemic: An observation from a tertiary care center from North India
Authors: Shukla Surabhi , Singh Peetam 
Published: November 2023

Objectives:
The impact of the Omicron variant (B.1.1.529) was very low as compared to the Delta variant (B.1.617.2) in North India. Very few studies are there highlighting the clinical parameters associated with disease outcomes among coronavirus disease-2019 (COVID-19) patients during the Delta and Omicron waves of the pandemic. This study was conducted to observe various clinical parameters associated with disease outcomes among COVID-19 patients during Delta and Omicron waves.

Materials and Methods:
This retrospective observational study was conducted during the Delta wave (March 2021 to June 2021) and Omicron wave (December 2021 to March 2022) on patients with positive reverse transcriptase–polymerase chain reaction (RT-PCR) admitted during the study period. The patient characteristics and outcome measures including demographic, baseline clinical, disease severity, intensive care unit admissions, and hospital mortality were recorded.

Results:
Out of total of 1731 patients who tested positive for severe acute respiratory syndrome Coronavirus-2 (SARS-CoV-2) by RT-PCR, 16 patients were admitted during the omicron wave and 878 were admitted during the Delta wave. The majority of admitted patients during the Delta wave were in the age groups of 21–40 and 41–60 years, with significantly less number of admissions in the age group of <20 years during the Omicron wave. The admissions were significantly lower during the Omicron wave (P < 0.001). Patients without a previous history of COVID-19 and unvaccinated status were having significantly higher admissions (P < 0.001). During Delta and Omicron waves 71.4% and 18.75% of the patients, respectively, were having no comorbidities.

Conclusion:
Hospital admissions were higher during the Delta wave in comparison to the Omicron wave. During the Delta wave, the degree of severity and number of deaths were also very high.
EVERYDAY LIFE OF THE COMMUNE IN N.S. LESKOV’S NOVEL “NOWHERE”
Authors: Рыбакова А.А. 
Published: November 2023

В романе «Некуда» Н. С. Лескова развеиваются идиллические представления о коллективной организации жизни быта. В описании повседневного уклада Дома согласия и квартиры Райнера отражены реальные события и типичные проблемы, возникавшие у участников «Знаменской коммуны» В.А. Слепцова и коммуны А. Бенни. Кроме того, в «Некуда» обнаруживаются и другие уродливые формы коллективного существования людей – московские трущобы.
In the novel “Nowhere” by N. S. Leskov, a characteristic phenomenon of everyday life of the 1860s is presented - the organization of communes. The writer depicts real events and typical problems that arose among the participants of Sleptsov’s “Znamenskaya Commune” and the commune in A. Benny’s apartment, which served as prototypes of the communes described in the novel. In addition, the novel reveals other ugly forms of collective existence of people – the Moscow slums.
ACTUAL PROBLEMS OF INTERNATIONAL COOPERATION IN THE FIGHT AGAINST CONVENTIONAL CRIMES
Authors: Babaev Rafael' 
Published: November 2023

The problem of human trafficking itself is relevant for all countries of the world, regardless of the economic or political position of that country on the world stage. The current norms of international law, reflecting the interests of man and citizen, his freedoms and rights, require revision and rethink-ing, and, on this basis, the development of new approaches to the methods of operational-search and investigative activities aimed at combating this social evil- human trafficking.
The article considers the problems of organizing international cooperation in combating human trafficking. It is suggested that, in order to solve these problems, the work aimed at more effective application of operational-search and investigative activities, collection and realization of evidence and assistance to victims and witnesses should be qualitatively improved. It is also proposed to intensify efforts to raise public awareness of the problem of human trafficking and to involve the gen-eral public in the fight against these crimes.
Perencanaan Menu, Preferensi Menu, Terhadap Biaya Sisa Makanan dan Zat Gizi Yang Hilang
Authors: Ronitawati Putri , Ayupradinda Bunga F , Sitoayu Laras , Sa'pang Mertien , Nuzrina Rachmanida 
Published: November 2023

Abstrak
Latar Belakang: Salah satu rangkaian kegiatan penyelenggaraan makanan yaitu perencanaan menu. Preferensi menu adalah sikap dan tingkat kesukaan responden terhadap makanan. Indikator keberhasilan suatu sistem penyelenggaraan makanan adalah sisa makanan. Tingginya sisa makanan dapat menggambarkan adanya zat gizi yang terbuang. Secara ekonomi adanya sisa makanan menggambarkan adanya biaya yang terbuang. Tujuan: Menganalisis perencanaan menu, preferensi menu terhadap biaya sisa dan zat gizi yang hilang pada menu makan siang karyawan. Metode: Desain penelitian adalah cross sectional. Tempat penelitian dilakukan di kantor notaris di kota Malang. Penelitian dilakukan pada bulan Agustus-September 2020. Sampel didapat sebanyak 45 dengan teknik total sampling. Data dikumpulkan dengan wawancara menggunakan kuesioner karakteristik responden, angket preferensi menu, dan form food weighing. Analisis statistik menggunakan uji Spearman. Hasil: Uji Korelasi Spearman menunjukan preferensi menu tidak berhubungan dengan biaya sisa (p=0.339) dan zat gizi yang hilang (p=282). Kesimpulan: Perencanaan menu di kantor notaris di kota Malang dilakukan setiap 3 bulan sekali oleh pemilik katering. Siklus menu yang digunakan adalah siklus menu 10 hari. Perencanaan menu yang ada di kantor tersebut masih kurang baik karena hanya memenuhi beberapa aspek perencanaan menu yaitu faktor manajemen, sedangkan untuk faktor konsumen belum terpenuhi. Tidak ada hubungan antra preferensi menu dengan biaya sisa dan zat gizi yang hilang.
Hubungan Gaya Hidup “Nongkrong”, Aktivitas Sedentary, dan Konsumsi Minuman Manis dengan Status Gizi pada Mahasiswa
Authors: Iqbal Muhammad , Ngizan Fahrani Nur 
Published: November 2023

Prevalensi masalah gizi di Indonesia mengalami peningkatan setiap tahunnya. Meningkatnya prevalensi masalah gizi khususnya pada kelompok usia dewasa awal salah satu penyebabnya adalah perubahan perilaku dan gaya hidup. Kegiatan nongkrong menjadi gaya hidup konsumtif yang berkembang saat ini dan diikuti dengan kebiasaan konsumsi minuman manis dan aktivitas sedentary. Gaya hidup ini dapat meningkatkan kejadian masalah gizi seperti obesitas dan kegemukan. Tujuan penelitian ini yaitu untuk mengetahui hubungan gaya hidup nongkrong, aktivitas sedentary, dan konsumsi minuman manis dengan status gizi pada mahasiswa. Jenis penelitian ini yaitu penelitian observational dengan desain cross sectional. Pengambilan sampel menggunakan teknik consecutive sampling didapatkan jumlah sampel 56 mahasiswa dengan kriteria bersedia menjadi responden, mahasiswa perguruan tinggi, usia 19 – 29 tahun, dan memiliki kebiasaan nongkrong (minimal 2 kali/pekan). Analisis data menggunakan uji korelasi Spearman Rho. Hasil penelitian menunjukkan bahwa tidak terdapat hubungan gaya hidup nongkrong dan aktivitas sedentary dengan status gizi pada mahasiswa. Namun, terdapat hubungan yang signifikan konsumsi minuman manis dengan status gizi pada mahasiswa.