bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on the mechanism and inhibition technology of oil oxidation in peanut fried foods
Authors: Xie Lin 
Published: December 2024

Abstract
Oxidation of fats and oils is a common phenomenon, and antioxidants have been widely used to retard oxidation induction and inhibit oxidation of fats and oils. In this paper, the oxidative stability of peanut fried foods under different baking temperatures was examined by using the oven method in conjunction with the basic principles of oil and fat oxidation and the influence of temperature on the oxidation reaction rate of oils and fats. The chemical indexes of peroxide value, acid value and carbonyl value of fats and oils were selected as the objective indexes to evaluate the oxidation reaction of fats and oils in the storage process of peanut fried foods. The degree of oxidative deterioration of oils and fats in peanut-fried food samples was compared to samples stored at different storage temperatures, packaging materials, air conditioning environments, and storage times. The lipid oxidation changes of the samples were observed by comparing and analysing the changes of C=C signals in Raman spectra after adding antioxidant peptides to the samples. With the gradual increase of baking temperature, the oxidative stability of the samples showed an overall increasing trend, and the oxidative stability at 220°C baking temperature was the best and better than the oxidative stability of hot-pressed and cold-pressed peanut oil. Through the packaging and storage test, it can be concluded that the packaging of low-temperature storage, nitrogen filling, and aluminum foil paper bags can play a certain role in inhibiting the oxidative deterioration of oil and fat in peanut frying.
Study on the Sense of Acquisition of the Rural Poor under the Perspective of Precision Poverty Alleviation
Authors: Li Dan 
Published: December 2024

Abstract
Sense of access is an important yardstick for measuring the effect of precise poverty alleviation work and an important guide for rural grassroots governance work. This paper designs an evaluation index system for rural poor people’s sense of access, constructs a logistic regression model, and studies the current situation of rural poor people’s sense of access and influencing factors. Firstly, based on the idea of Modified Ridge Estimation and Liu Estimation, Modified Liu Estimation is proposed as an alternative estimation method for Great Likelihood Estimation to solve the problem of multicollinearity in binary logistic regression models. Then, 20 indicators related to the five dimensions of economy, politics, ecology, society, and culture are selected to explore and establish the evaluation system of rural poor people’s sense of access. Nineteen precision poverty alleviation administrative villages in a national poverty-stricken county in Gansu Province were selected for questionnaire distribution. It has been found that gender differences have significant effects on access to economic income. In terms of specific factors, the logistic regression equation has the greatest explanatory power for F1 economic sense of access (the value of R-squared is 0.15, p=0.000<0.001), followed by the sense of access to F4 social services (the value of R-squared is 0.12, p=0.000<0.001). In summary, this paper puts forward policy recommendations to enhance the sense of access of the rural poor, such as revitalising rural industries. This paper provides certain references for improving the grassroots social governance system and strengthening the modernization of governance capacity.
Data Mining Techniques and Strategies in Digital Asset Management in Cultural Museums
Authors: Yang Lin 
Published: December 2024

Abstract
The development trend of digital assets characteristic of public cultural service units involves the rational and standardized management of existing and future-generated digital resources. The study examines the significance of data mining technology in the digital asset management system of cultural museums. For the information retrieval service involved in the system, an improved decision tree algorithm based on mutual information is proposed as the data mining kernel by improving the ID3 algorithm to achieve fast and effective information retrieval of multi-source data. On different domain sets, the average retrieval speed of the improved decision tree algorithm is 6.87 ms, which is better than the Random Forest algorithm and Bagging algorithm, and it is able to accurately retrieve the data location of digital assets. This paper proposes to improve the management of digital assets in cultural museums from three aspects: innovating the institutional mechanism, standardizing the account management of digital assets, and establishing an intelligent promotion platform for digital assets.
Knowledge Graph Construction and Personalised Learning Path Generation Mechanism for Online English Teaching and Learning
Authors: Ying Shichao , Fu Yuemei 
Published: December 2024

Abstract
With the accelerated development of educational intelligence, the application of online English teaching has become more and more widespread. This paper constructs a knowledge map for online English teaching, which serves as the foundation for a personalized learning path generation model, with the goal of offering students deeply personalized English teaching services. Spectral convolution is used to transfer the filter and graph signals in the graph convolution network to the Fourier domain for computation, and the graph convolution neural network is used to generate the online English teaching knowledge map. Learner preferences are obtained by improving the knowledge graph convolutional network, and the learning path recommendation algorithm MKGLR is proposed. 50 first-year students of educational technology at Henan Normal University in China have been selected as the research subjects to carry out an online English teaching experiment. After the experiment, the average study duration of students decreased from 83.62 hours to 76.8 hours, the performance of online learning behavior improved significantly, and the number of classroom interactions, the number of homework submissions, and the number of resource accesses increased compared to the pre-experiment (Sig<0.01). There was a significant difference. The evaluation values of the usefulness and satisfaction dimensions increased by 43.42% and 26.77%, respectively, compared to the pre-experiment.
Optimisation study of agricultural product circulation standard system in big data environment based on DNN model
Authors: Cai Qiaoyan , Zhang Xihua 
Published: December 2024

Abstract
This paper combines deep learning and neural networks to construct a prediction model of deep neural networks. Taking the bulk agricultural products in X province as an example, it elaborates on the current situation of agricultural product circulation in X province and analyzes the problems in the development process. Using the DNN prediction model for the demand of the agricultural product circulation system, the demand of the agricultural product circulation system is modelled and simulated. After analysis, it can be seen that 588 national industry standards in the area of commerce circulation and domestic trade have been formulated at present. With the increasing production of bulk agricultural products as well as the total food production in X province, the development of agricultural product circulation main body also grows to 3,033 in 2023. However, the time currently used for the distribution chain still accounts for 95% of the total system. Therefore, the layout design scheme derived from the predicted values of the DNN model makes the agricultural product logistics network more reasonable.
Intelligent Algorithm-Assisted Evaluation System Construction and Practice of Civic Education in Colleges and Universities
Authors: Zhuang Yaling 
Published: December 2024

Abstract
Civic education is one of the basic contents of higher general education. The study uses a hierarchical analysis method, particle swarm optimisation algorithm and genetic algorithm to construct the evaluation system of civic education in colleges and universities, improves the GA-BP evaluation model through adaptive mutation genetic algorithm and entropy value method, and constructs EM-AGA-BP evaluation model of civic education in colleges and universities. The evaluation results and performance of this evaluation model in practice are analysed and tested. The fit of the EM-AGABP evaluation model of civic and political education in colleges and universities exceeds 0.90, and the evaluation index system of this paper is able to reflect the situation of civic and political education in colleges and universities. The highest score of Z-schools in the evaluation indexes of the first level of civic and political education is the construction of educational resources (3.81), and the lowest score is the construction of infrastructure (2.39). The highest-scoring second-level indicator is Civics Teachers (4.62), and the lowest-scoring is Facilities for Teachers and Students (1.88). The score interval on the third-level indicators is [1.30,4.93]. The absolute error distribution of the EM-AGA-BP evaluation model of college civic education is 0~0.07, which is significantly better than the absolute error distribution of the RBF neural network model (0~1.519). The absolute error of the predicted value of 85% of the evaluation results of the samples in the EM-AGA-BP model does not exceed 0.06. EM-AGA-BP is superior in the performance of the evaluation of ideological and political education in colleges and universities.
Numerical simulation study on the relationship between mechanical properties and forming conditions during incremental forming of magnesium alloys
Authors: Bao Wenke , Tian Xitian , Liu Yongyue 
Published: December 2024

Abstract
Recent years have seen an increasing study and application of magnesium alloy, a light metal with high specific strength. Incremental Forming is a technology that uses rapid prototyping and forming to efficiently and cost-effectively manufacture parts from sheet metal. In this paper, we analyze the true stress-strain curve of magnesium alloy during incremental forming using the extension principle of Mises yield criterion Hill48 yield criterion. We then input the curve and the intrinsic model of magnesium alloy into ABAQUS software for numerical simulation and analysis of the mechanical properties of magnesium alloy under forming conditions. The results show that as the temperature increases, the yield strength and tensile strength of the AZ31B magnesium alloy decrease, and the material’s resistance to deformation decreases. The yield and tensile strength of the magnesium alloy decreased to below 61 MPa and 71 MPa, respectively, upon increasing the experimental temperature to 280 °C. It was also found that the maximum equivalent stress and wall thickness reduction rate of magnesium alloy incrementally forming parts increased with the increase of layer spacing during incremental forming. The successful incremental forming of magnesium alloy depends on the selection and optimal combination of forming condition parameters, and this paper offers a robust experimental foundation for the rapid prototyping of magnesium alloy under incremental forming.
A Study on the Change of Artistic Creation Styles in the Internet Era in Higher Art Education Based on the Perspective of Network Analysis
Authors: Zhang Congli 
Published: December 2024

Abstract
Artistic creation in the network era, examined in terms of artistic style, can be roughly divided into several important stages in time, such as 1985-1995, 1996-2005, 2006-2015, and 2016-present. This paper integrates pedagogical knowledge distillation and an artistic style feature extraction model to investigate the change in artistic creation style in the network era. Using global features, the color histogram of the art image region is extracted by calculating the color features on H, S, and V from both color and texture features. The color and texture feature vectors are normalized, assuming that they conform to a Gaussian distribution. Quantify the art style features using an adaptive weighted Gram matrix to improve the accuracy of art image style classification. Joint art knowledge distillation model for dissemination of knowledge of the extracted art style features. Plotting the scatter of color chromaticity values L*-b* of all painting samples reveals that the luminance L* of all paintings fluctuates between 21.38 and 79.94, the red/greenness value a* fluctuates between -8.57 and 1.7, and the yellow/blueness value b* fluctuates between 1.67 and 16.21. The temporal development of the color characteristics of art styles follows a clear pattern. In the comparison of texture eigenvalues under variable parameters, the moment of inertia of the painting images in the period 1985-1995 is raised from 147.698 to 615.965 after noise addition, and there are different degrees of growth in the moment of inertia in the other periods, but with different magnitudes of growth, and there are obvious differences.
Research on Informatisation Path in the Process of Teachers’ Professional Development Supported by Big Data
Authors: Chen Tao , Wu Qingqing 
Published: December 2024

Abstract
The arrival of the big data era has caused a great impact on the traditional education model, and also put forward higher requirements for teachers’ professional ability. This paper explores the professional development level of college teachers using exploratory factor analysis and Spearman correlation analysis, and designs an informatisation path for teachers’ professional development based on big data according to the results of the analyses and the challenges faced by teachers’ professional development. Then, a controlled experiment was designed to empirically verify the application effect of the pathway using independent samples t-test and paired samples t-test. In this paper, five principal component factors were extracted from teachers’ professional development level, namely, career development potential, intelligent education concept, intelligent teaching ability, intelligent evaluation ability, and university education development management, and the correlation coefficient values of the first four with university education development management were 0.245, 0.274, 0.282, and 0.275, which were all greater than 0, with corresponding p-values less than 0.01, which indicated that there was a significant positive relationship between all of them and university Education Development Management are all significantly positively correlated with each other. In the control experiment, there is no significant difference between the experimental group adopting the informatisation path of this paper and the control group adopting the traditional path before the experiment, but there is a significant difference after the experiment, and the level of teachers’ professional development of the former is better than that of the latter, which suggests that the informatisation path of teachers’ professional development designed in this paper is better than the traditional path, and it has a positive promotion effect on teachers’ professional development.
Research on Behavioural Characteristics and Language Habits of Business English Online Learning Based on Big Data Analysis
Authors: Li Ling 
Published: December 2024

Abstract
Online learning models are rapidly emerging. By tracking the relevant learning behaviors of students in the learning process, certain suggestions can be provided for learners’ study guidance. In this paper, the improved K-Means algorithm and behavioral data from students’ online learning are used to cluster their learning status. In addition, the self-attention mechanism is introduced on the basis of TCN, and the network structure for dealing with the language habit classification problem is constructed as a whole by combining it with the Meier filter bank alternative network. Finally, TCNSA is used to learn and classify pronunciation habits, and the two networks are trained together to form an end-to-end recognition method. The classification effectiveness of the method was finally verified on different datasets, and the classification accuracy of Region 5 language habits increased from 42 to 49, and the classification accuracy of the remaining regions also increased compared to that of the TCN. It comprehensively reflects the performance of the TCNSA model in distinguishing language habits. The method proposed in this paper helps to provide targeted online business English learning guidance to students from different regions, with different learning behaviors, and different language habits.
Research on the Resource Sharing Mode of Civic and Political Education Platform in Colleges and Universities in the Information Technology Era and the Path of Student Participation
Authors: Liang Li 
Published: December 2024

Abstract
This paper uses multimedia technology to build a civic education platform and integrates it into the civic education of colleges and universities by designing a resource sharing model for the civic education platform. Starting from the connotation of resource sharing mode and students’ participation path, a questionnaire is developed to test the reliability of the questionnaire. Correlation coefficients and regression models were used to explore the relationship between the resource sharing model of the Civic and Political Education Platform and the students’ participation path. The questionnaire’s reliability was maintained at above 0.7, and its validity was all above 0.9, which fully met the questionnaire’s standard requirements. The Pearse’s Choice correlation coefficients between the educational model (A1) and behavioural participation (A2), cognitive participation (A3), and affective participation (A4) were 0.149, 0.081, and -0.054, respectively, and the corresponding regression equations were Y=1.992+0.428*behavioural participation+0.217* cognitive participation+0.199*emotional participation, which revealed the relationship between the Civic and Political Education Platform resource-sharing model and the relationship between students’ participation paths, which makes the ideological education in colleges and universities rise to a new level.
Analogue simulation and practical application effect analysis of relay protection strategy of power system in high altitude area
Authors: Ma Haifeng , Li Yuan , Qi Baocai , Zhu Guochao , Tuo Zhipeng , Han Fengjun 
Published: December 2024

Abstract
As a safety protection measure in power systems, relay protection can quickly and accurately determine the type of fault and its cause. In order to adapt to the increasingly complex operating environment of relay protection systems in high-altitude areas, a relay protection strategy based on EMD-GA-ELM is proposed. The strategy preprocesses the multi-source data using the EMD algorithm, trains the data using the ELM model, and optimizes the overall parameters using the parallel search function of the GA algorithm, enhanced by PSO. Through simulation and practical application, it is found that the AUPR scores of this paper’s relay protection strategy for different scenarios are above 0.9, and the running time is reduced by 35.94% to 60.60%, which has better fault detection accuracy and timeliness. The coordination time intervals of EMD-GA-ELM models in practical applications are all greater than 0.3s, and the relay action speeds in different modes are all improved, which verifies the higher fault detection level of the proposed strategy in practical applications and can help identify and respond to the security risks of the power system in high-altitude areas.
Designing Virtual Reality-integrated Immersive Learning Experiences for Art Education
Authors: Ren Dan 
Published: December 2024

Abstract
The field of art education can benefit from the application of VR technology due to its characteristics of immersion, interaction, and empathy. This paper utilizes VR technology in the field of art education, utilizing immersive learning as a theoretical guide. It also combines the analysis of user group needs of students and teachers, and presents a design scheme for an immersive virtual learning system for art appreciation courses. The system consists of three modules: hardware environment, software environment, and human-computer interaction. The Scene Operate and Scale panels perform real-time interactive behaviors. Boolean operations are used to mark the interaction intentions of students in the virtual environment in order to achieve an understanding of their interaction intentions. It was found that students’ mental flow state and art classroom quiz scores were slightly higher in the VR immersive learning system environment than in the traditional classroom. As for the learning engagement dimension, the students’ learning engagement in the VR environment was 131.27±8.831, which was significantly higher than that of traditional classroom learning (96.72±15.210, p<0.05). The integration of VR technology into the classroom is proven to enhance students’ creativity and enhance their immersive learning experience.
Research on the Practical Path of Teachers’ TPACK Capacity Building in Private Colleges and Universities under Educational Informatisation
Authors: Wang Xiao , Guo Ziyang , Gui Yangyang 
Published: December 2024

Abstract
Teaching ability is the place where university teachers settle down, and cultivating teachers’ teaching ability is the necessary way to guarantee the teaching quality of private colleges and universities. In this paper, for the TPACK ability construction of teachers in private colleges and universities, taking the TPACK model as the theoretical basis, the logical relationship between the elements within the structure of teachers’ informational teaching ability, between the elements and the system, and between the system and the environment is clarified under the perspectives of nurturing orientation and disciplines. And the cultivation model was applied in practice to evaluate and analyze the actual teaching situation. The results show that the difference in the overall level of TPACK of the experimental group after TPACK training is very significant (T=-10.224, p<0.001), indicating that the TPACK competence cultivation model for teachers in private colleges and universities proposed in this paper has a significant role in promoting the construction of teachers’ TPACK competence. This study enriches the theory of TPACK development to some extent and provides a theoretical basis for the practice of TPACK development for teachers in private colleges and universities. A complete case of teacher capacity building for TPACK can be formed at the level of teaching practice, which can be learned and referred to by educators.
Research on the calculation method of global optimal solution for multivariate functions based on genetic algorithm
Authors: Zhou Wanna 
Published: December 2024

Abstract
In this paper, the time delay of warehouse entry, traveling distance, scheduled arrival time, and other factors are fully considered. From there, a genetic algorithm global optimal solution is conceived for the computation of the warehouse entry allocation problem. We propose a new constrained optimization algorithm, based on orthogonal experimental design, to address the global optimal solution of multivariate functions. We also verified the algorithm’s effectiveness and usability in a practical simulation study of the warehouse entry allocation problem. The optimal value of the genetic algorithm is 9.3487. In the parameter design, the actual total number of demands is 131. The S, T, and D of the calculation results of secondary simulation experiments have been reduced. Therefore, the global optimization of the genetic algorithm enhances the shelf stability and boosts the efficiency of the work in the store’s goods allocation.