bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integration Development of Civic Education and Student Management in Colleges and Universities Based on Information Diffusion Modeling
Authors: Huang Li 
Published: December 2023

Abstract
This paper utilizes the idea of information diffusion to model the diffusion effect of information on civic and political education and categorizes the elements for the impact of the civic and political information diffusion system from the three levels of dissemination, acceptance and control. In order to verify the validity of the Civic and Political Information Diffusion Model, manipulative tests and empirical analysis are carried out. The results show that the breadth and depth of the Civic and Political Information Diffusion Model’s manipulability test Sig are significant. They are both less than 0.05, with significant differences. The specific factors affecting the integration and development of civic education and student management can be analyzed more intuitively from the three levels of dissemination, acceptance, and control. This shows that the use of the information diffusion model can provide an effective research direction for the development of the integration of civic education and student management in colleges and universities and lay a good foundation for the cultivation of high-level talents adapted to the development needs of the new era.
Creating Spatial Characteristics of Traditional Village Entrances Based on Multivariate Statistical Analysis--Taking Zengcheng District, Guangzhou as an Example
Authors: Lin Shuping , Ma Yuancheng 
Published: December 2023

Abstract
Based on Maslow’s hierarchy of needs theory, this paper constructs an evaluation index system to create spatially featured landscapes at the village entrance of traditional villages. The evaluation indexes are quantified by using principal component analysis under multivariate statistical analysis, and the satisfaction of the creation of a landscape characteristic of the village entrance space is evaluated by linear regression. The characteristic spatial pattern of the village entrance of traditional villages is discussed, including the characteristic landscape and spatial characteristics. To verify the validity of the evaluation index system in this paper, a quantitative analysis of the data was carried out with Guangzhou Zengcheng District as an example. The results show that the comprehensive score of Licheng Street in Zengcheng District, Guangzhou, is 0.952, and the percentage of villagers’ satisfaction evaluation of the village entrance space is 63.48%. This shows that the central urban area pays more attention to the villagers’ lives and is willing to carry out the village entrance space characteristic landscape creation. Moreover, when creating the characteristic landscape of the village entrance space, it is based on the lifestyle and folklore activities, and the organizational system is the guarantee, which is more in line with the expectation of the villagers for the development of the traditional villages.
Big data background of county-level media “mobility” pressure cracking strategy
Authors: Nie Zhiteng , Zhang Xiaoyong 
Published: December 2023

Abstract
The construction of county-level integrated media is facing a communication dilemma, and it must alter the way and method of communication by using big data. In this paper, under the background of big data, the basic metric features of the users of integrated media communication are calculated by name similarity, one-hot coding features, following rate, etc., which are combined with the pixel statistical characteristics and avatar personality features to build a user portrait of integrated media communication. Taking the user’s profile as the anchor point of communication, the CD-VAE model is used to predict and analyze the early communication of integrated media content. Through case studies, the current characteristics of county-level integrated media and the trend of primary and secondary dissemination are examined. The first and second newspapers were distributed 278 times and 251 times, respectively, with a conversion rate of 12.61%. The primary and secondary dissemination of Jitterbug reached 303 and 284 times, respectively, as media in the era of mobile Internet. The use of big data technology can effectively analyze the development pain points of county-level integrated media.
Students’ Multiple Perceptions of English Teaching Model Reform in Colleges and Universities under Cognitive Coupling Networks
Authors: Ruan Guoyan 
Published: December 2023

Abstract
On the basis of linear multiple regression methods such as PLSR and ICR, this paper introduces the kernel function to kernelize these linear multiple statistical regression methods, derives the KPLSR and KICR algorithms, and gives the specific implementation process. Then kernel-based multiple regression methods are applied to analyze the English teaching mode using a cognitive coupling network. According to the students’ learning data under the English teaching mode of cognitive coupling network, then the students’ learning situation and other precise calculations and statistics, so as to truly reflect the student’s learning status, presenting the students’ learning process in need of an urgent solution. Finally, the correlation between students’ multi-sensory learning styles and English performance is analyzed, and the results show that visual, auditory, kinesthetic, experiential, and independent styles all show a significant positive correlation to the total English performance, with correlation coefficients of 0.416, 0.158, 0.349, 0.339, and 0.327, respectively, among which the correlation coefficient of the visual type of perception is the largest.
Reform and Innovation of Teaching Music Curriculum in Colleges and Universities by Applying Cognitive Mapping
Authors: Xia Xianzhi , Yang Shuqiong , Xie Zhuyue 
Published: December 2023

Abstract
This paper proposes a teaching innovation based on cognitive mapping to address the current problem of dull music teaching in colleges and universities. The combination of BERT-weighted sentence vectors and IDCNN is used to label music topics in cognitive mapping, while music emotion labeling is achieved using BiGRU-Attention. The above music labeling is integrated into the construction of a teaching-oriented cognitive map, and a learning path planning method based on the RippleNet algorithm is proposed under the cognitive map. The teaching effect under the application of cognitive mapping was evaluated in terms of basic literacy and emotional expression after verifying the applicability of the learning path using DCG indicators. As a whole, the student’s basic music literacy improved by an average of 5.16 points in the first stage and by an average of 7.67 points in the whole stage analyzed. The fastest improvement was in Sample 22, which improved by 9.9 points in the first stage and another 3.7 points in the second stage. Learning path planning with the help of cognitive mapping is feasible in the reform of music teaching in colleges and universities.
An Online Interactive Model of University English Based on Comprehensive Evaluation Models
Authors: Zhou Ying 
Published: December 2023

Abstract
This paper combines the theory of multiple interactive teaching modes in the process of college English online teaching and constructs an interactive model of English online teaching from three dimensions: teacher-student interaction, student-student interaction, and human-computer interaction. Secondly, the learner portrait structure in the E-GPPE-C model was designed from the three dimensions of basic characteristics, behaviors, and outcomes. According to the planned group learning path, an improved convolutional neural network (CNN) is used to generate a personalized learning path. To divide the learning community, the group of learners is clustered using the mean clustering algorithm. Finally, three rounds of teaching practice were conducted to verify the effectiveness of this interactive teaching model. The results show that the ratio of verbal interaction between teachers and students after the use of the strategy of constructing learner profiles increased to 0.9 compared with the previous 0.1. The correlation coefficient between personalized learning and learning self-regulation is 0.682, and significant correlations all present a significant correlation at the 0.01 level. This paper provides lessons and references for further research and development of smart interactive instructional design in colleges and universities.
The Application of Traditional Hakka Clothing Cultural Elements in Modern Clothing Design in Western Fujian Based on Image Feature Extraction Technology
Authors: Shi Qiong 
Published: December 2023

Abstract
In this paper, by applying the SIFT algorithm to the color category, texture and shape features of the dress pattern image for feature extraction and eliminating the low contrast texture feature points of the Taylor series expansion, using the statistics of the grayscale covariance matrix as the texture features. Based on the SIFT algorithm, the SURF feature extraction algorithm is proposed. The ideas of the Hessian matrix, determinant value approximation (DoH) and integral image (IGI) classifier are integrated to construct the feature fusion algorithm. Finally, the experimental results of several algorithms are compared and analyzed by taking the traditional dress pattern of the western Fujian Hakka family as the experimental object. The results show that among all the fusion algorithms, the SURF+IGI algorithm achieves an average recognition rate of 0.8914, which is the best performance. And the AUC value of its test set is 0.9445 when the learning rate is 0.005. The research in this paper meets the demand of extracting and applying the cultural elements of the traditional dresses of the Hakka family in western Fujian in modern dress design.
Linguistic Characteristics and Stylisation of Korean Cinema Based on the Social Network Analysis Method
Authors: Xu Sai , Jin Jianren , Yu Hongfang 
Published: December 2023

Abstract
Korean movies have consistently produced exceptional works that have triggered discussions and spread on social networks in recent years. In this paper, we take the movie language dissemination characteristics in social networks as an anchor point and combine the scale and structure of social networks to improve on the IC model to obtain a movie information dissemination model. This network model and the information cascade tandem are selected as the core of density peak clustering, and improvements are made for the updating rules as well as the propagation order of the multi-strategy labeling algorithm in the DCN algorithm. The characterization of movie language propagation in social networks is completed by using an improved algorithm with a multi-labeling idea. The overall stylistic evolution of Korean movies is examined, and then different language feature styles are compared according to social propagation. In the movie Memories of Murder, at 32 minutes and 23 seconds, which shows a rainy night on a muddy land and conveys the hardship of the protagonist’s situation through visual language, the propagation heat reaches 10.52. Similar to this sentence, the movie depicts a rainy night at 63 minutes and a crime scene at 108 minutes, with the propagation heat of the visual language reaching 19.48 and 23.48, respectively. Based on the propagation analysis of the social networks, the accurate capture of the unique impression of the movie language among the audience.
Price Formation and Multi-Market Synergistic Strategies for Renewable Electricity under the Concept of Life Community
Authors: Zhang Li , Ren Xijun , Song Zhumeng , Shi Wei , Wang Yixiao 
Published: December 2023

Abstract
This paper constructs the price formation mechanism of renewable electricity with three pricing mechanisms, namely, system marginal price (SMP), zonal marginal price (ZMP) and nodal marginal price (LMP), on the basis of electricity price location signal. Through the objective function of the constructed optimal dispatch model of renewable energy power, we calculate the minimum operating cost of each power plant under multi-market synergy and use the C&CG column constraint method to solve the price fluctuation caused by the uncertainty of wind and light. Finally, the multi-market synergy rate of the model is estimated by combining the 500 kV, 300 kV and 200 kV unified wind turbines invested by a provincial grid company in China. The results show that the multi-market coordination coefficients α of wind power and photovoltaic projects are 0.1148 and 0.2849, respectively, and the renewable electricity decreases from 0.355 Yuan/kWh to 0.298 Yuan/kWh in 2025 under the optimal dispatch model of electricity. This paper has certain theoretical value and practical reference significance for future renewable energy power price reform.
RSSI-adaptive local dual-mode communication for the Internet of Things in power distribution
Authors: Fan Huicong , Li Wenxiao , Zhu Shijia , Liang Wandi 
Published: December 2023

Abstract
The Internet of Things (IoT)’s rapid development is placing new demands on communication technology for power distribution. This paper proposes the application scheme of RSSI adaptive and dual-mode communication technology in the power distribution area, realizes the dual-mode networking technology adopted to improve communication quality, and verifies the reliability and superiority of the dual-mode communication technology scheme through analysis and application. The RSSI adaptive dual-mode communication module is designed, the RSSI model algorithm is modified, and the logical topology of the communication network and the data processing technology based on compressed sensing are analyzed. We focus on analyzing the performance of dual-mode communication networks for power consumption information collection and the information reception rate and real-time performance of MQTT protocol mapping for power distribution IoT. The average transmission delay was tested to be 198.5ms for QoS=0, 478.0ms for QoS=1, and 786.3ms for QoS=2 without encryption. When using SASL/TLS for transmission encryption, the average transmission delay is 992.7ms for QoS=0, 1203.6ms for QoS=1, and 1461.1ms for QoS=2.
The influence of growth environment on college students’ mental health based on subjective and objective induction perspectives
Authors: Huang Shuying 
Published: December 2023

Abstract
The mental health of college students is closely linked to their upbringing environment. This study utilized a scale method to quantitatively assess family economic status, parenting styles, and closeness using subjective and objective induction perspectives. The survey data was obtained by combining Liket multipoint scoring, and the Cronbach’s alpha coefficient was utilized for testing. For the mental health assessment of college students, quantification and summation was conducted through fuzzy qualitative assessment, and the assessment criteria were established using the fuzzy comprehensive assessment method. The predictions were fitted using multiple linear regression after completing the descriptive statistical analysis and mediating role test. The family socioeconomic status factor was used to predict the mental health index of college students, which could reduce the error by 3.8%. The parenting style factor was used to predict the mental health index of college students, which could reduce 7.2% of the error. Using the factor of family closeness to predict the mental health index of college students can reduce the error by 4.2%. By exploring the influence of upbringing on mental health, psychological intervention methods can be better proposed.
Benefit evaluation analysis of new energy power consumption information collection with basic steady-state harmonic characteristics
Authors: Wang Qing , Jing Zhen , Zhang Zhi , Wang Pingxin , Li Zongzong 
Published: December 2023

Abstract
In this paper, firstly, the load monitoring characteristics of new energy power consumption are studied and analyzed in terms of both steady-state and transient characteristics, and suitable characteristic values are selected for different types as the basis of load decomposition. A comparative analysis of various types of load imprints is conducted to highlight the advantages of steady-state harmonic features as load monitoring feature data. Then, an evaluation model of the demand response potential of electricity information collection is established based on a multi-objective optimization algorithm, and technical and economic analysis of electricity information collection is carried out to evaluate the response potential of power companies collecting customer data. Finally, the situation and benefits of collecting electricity consumption information for new energy power are analyzed. The daily maximum load moments of typical users are all cut by more than 10%, the peak load portion cut by more than 97% is also more obvious, and the maximum moments of valley filling response are all more than 11%. D Power saved a total of 3.759 billion yuan in labor costs by reducing labor costs by 400 million yuan after adopting electricity consumption information collection. The indices of excellent and qualified management benefit and social benefit evaluation of electricity consumption information collection are above 0.8. Overall, the benefits of electricity consumption information collection for new energy power with basic steady-state harmonic characteristics are significant and effective.
Dimensionality reduction model based on integer planning for the analysis of key indicators affecting life expectancy
Authors: Cui Wei , Xu Zhiqiang , Mu Ren 
Published: December 2023

Abstract

Purpose
Exploring a dimensionality reduction model that can adeptly eliminate outliers and select the appropriate number of clusters is of profound theoretical and practical importance. Additionally, the interpretability of these models presents a persistent challenge.

Design/methodology/approach
This paper proposes two innovative dimensionality reduction models based on integer programming (DRMBIP). These models assess compactness through the correlation of each indicator with its class center, while separation is evaluated by the correlation between different class centers. In contrast to DRMBIP-p, the DRMBIP-v considers the threshold parameter as a variable aiming to optimally balances both compactness and separation.

Findings
This study, getting data from the Global Health Observatory (GHO), investigates 141 indicators that influence life expectancy. The findings reveal that DRMBIP-p effectively reduces the dimensionality of data, ensuring compactness. It also maintains compatibility with other models. Additionally, DRMBIP-v finds the optimal result, showing exceptional separation. Visualization of the results reveals that all classes have a high compactness.

Research limitations
The DRMBIP-p requires the input of the correlation threshold parameter, which plays a pivotal role in the effectiveness of the final dimensionality reduction results. In the DRMBIP-v, modifying the threshold parameter to variable potentially emphasizes either separation or compactness. This necessitates an artificial adjustment to the overflow component within the objective function.

Practical implications
The DRMBIP presented in this paper is adept at uncovering the primary geometric structures within high-dimensional indicators. Validated by life expectancy data, this paper demonstrates potential to assist data miners with the reduction of data dimensions.

Originality/value
To our knowledge, this is the first time that integer programming has been used to build a dimensionality reduction model with indicator filtering. It not only has applications in life expectancy, but also has obvious advantages in data mining work that requires precise class centers.
Status of Native Tree Diversity in Relation to Land-Use in the Merhabete District, Ethiopia
Authors: Getachew Goremsu , Asfaw Zebene 
Published: December 2023

Abstract
Most studies undertaken on native fodder and fruit species have focused on planting preferences and socioeconomic importance. The focus has been less on diversity aspects. This study aimed to make a comparative investigation on the status of native fodder and fruit tree /shrub diversity and their management in three land types in Merhabete district, North Shewa Zone, Ethiopia. A total of 127 households were randomly selected for interviews on management practices and threats to the targeted species. Furthermore, 90 sampling plots representing three land use types were used for vegetation data collection. Altogether, a total of 34 tree /shrub species were recorded from three land use types in the study area. Out of the 34 tree/shrub species identified, 31 (91.2 %) species were native fodder and fruit tree/shrub species, and the remaining 3 (8.8 %) were exotic tree/shrub species. The mean tree/shrubdiversity, species richness, and species density were significantly higher in the remnant natural forest than in homegarden and parkland (p≤0.05). Likewise, the highest tree basal area was recorded in remnant natural forest, followed by homegarden and parklands. The common management practices for native fodder and fruit species were pollarding, thinning, pruning, lopping, and fencing. Based on the findings, it is concluded that species diversities and stem numbers were lower in parkland than in other land-use types. Therefore, it is recommended that planting native fodder and fruit tree/shrub species on parkland is essential to enhance the conservation and domestication process of the targeted species.
Structure and Regeneration Status of Woody Seed Oil Species in Northern Botswana
Authors: Kashe Keotshephile , Tsheboeng Gaolathe , Kgathi Donald L. , Mmopelwa Gagoitseope , Mmusi Mmusi , Moseki Ofentse , Galelebalwe Meleko K. 
Published: December 2023

Abstract
Concerns about energy security and environmental risks have sparked interest in edible and non-edible seed oils as potential renewable feedstocks for biodiesel production. A study was conducted to investigate the population structure and regeneration status of woody seed oil species in the districts of Chobe and Ngamiland. The population structure and regeneration condition of woody seed oil species were studied in 20 × 20 m (400 m2) quadrats spaced 50 m apart along a parallel line transect. Data on the identity of all woody species, the number of all live individuals, and the diameter at breast height (DBH) of individuals with DBH > 2 cm of each woody species were collected in each quadrat. The diversity (Hʹ) and evenness (Jʹ) of woody seed oil species were 1.53, 1.42 and 0.71, and 0.85, 0.73 and 0.51 in Parakarungu, Seronga and Shorobe, respectively. Ximenia caffra was the dominant woody seed oil plant in Shorobe and Seronga, and exhibited an inverted J-shaped curve with continuous diameter classes distribution. Trichilia emetica was only found in Parakarungu, where it was the second dominant species and demonstrated excellent recruitment and regeneration. In Shorobe and Seronga, Croton megalobotrys was the second most dominant species. It had low recruitment, which was most likely due to herbivory and predation on seeds and seedlings. The least prevalent species (Sclerocarya birrea, Schinziophyton rautanenii and Guibourtia coleosperma) had no representation in the intermediate diameter-classes, which might be attributed to the selective removal in these diameter-classes. The examination of the population structure of woody seed oil species indicated variations in patterns of diameter-class distribution, indicating differences in the population dynamics of the species across the study areas. The least dominant species experienced hindered recruitment and regeneration due to herbivory and anthropogenic influences.