Table of Content

15 June 2025, Volume 10 Issue 6

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Research on V-Type Algebraic Triple Grid Method Based on Matrix Atlas and Algebraic Interpolation

Wang Congxu

2025, 10(6):  1-5. 

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In order to realize the optimal selection of the V-cycle of the multigrid method and improve the convergence accuracy and speed under the smooth degree, a V-type algebraic triple grid method for solving elliptic equations is proposed based on the coarsening
algorithm of matrix atlas and algebraic interpolation operator. Through numerical analysis, the computational performance of V-cycle
algorithm and V-type algebraic triple grid method is compared. The results show that the number of iterations of the V-cycle algorithm
is positively correlated with the solution scale. When the number of iterations is 4 and the mesh generation step size is 1/224, the energy error of the V-type algebraic triple grid method is only 4.781 8 × 10-8, and the CPU time consumption is 284.294 s. Compared with the V-cycle algorithm, the new algorithm has less computation, higher calculation accuracy and shorter calculation time.


The Construction of Pi Estimation Model and the Improvement of Its Algorithm

Liu Jiahua, , Wang Pengde

2025, 10(6):  6-10. 

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The study of pi is not only of interest to mathematicians and scientists, but also serves as the foundation for many problems
and applications in the fields of mathematics and science. This study constructed a projection model for estimating pi, which is based
on the Monte Carlo method and uses regular polygons circumscribed about a unit circle, and then improved the model. When the
number of experiments was 20 million, the accuracy of the model was compared and analyzed by using relative error, and was also
compared with that of the Buffon's needle experiment. The results showed that the accuracy of the projection model of the unit circle
circumscribed by an octagon was significantly better than that of the Buffon's needle experiment, with an estimated value of 3.141 59.
The results indicate that the model can effectively improve the accuracy of pi estimation.


Mining of Spatial High Utility Sub-Prevalent Co-Location Patterns with Dominant Features

Zhao Qinyi, Zhao Yuqin, Hei Shaomin, Chen Jianhua

2025, 10(6):  11-17. 

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Sub-prevalent co-location pattern is a subset of co-location patterns, and its mining is based on the star instances model.
In the absence of feature utility values and instance utility values in instance sets, this study investigates how to calculate the utility
value of star participating instances based on the star instances model, and proposes a method for calculating the feature star utility
participation rate. In co-location pattern dominant feature mining, existing research rarely considers the influence of distance
distribution between feature instances on dominant relationships. Therefore, this study explores how to use the distance distribution
between star participating instances and neighbor instances as the dominant weight between features, and proposes a weighted method
for calculating the feature star dominance rate. Finally, an algorithm for mining spatial high utility sub-prevalent co-location patterns
with dominant features is proposed. The experimental results show that this algorithm can effectively distinguish the utility values and
dominant features of patterns, and its effectiveness is significant.


A Hybrid Ant Colony Optimization Algorithm Enhanced with Mutation and Metabolism

Li Xuan, Wu Xiaobing, Fang Tingting

2025, 10(6):  18-24. 

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The conventional ant colony algorithm has certain drawbacks and is highly likely to get trapped in local optima. To enhance the efficiency of the ant colony algorithm, individual ants are ranked according to their differences in optimization capabilities. Then, the metabolism mechanism of organisms is introduced to eliminate some ants with poor capabilities. New and more vigorous individuals are generated through mutation to replace the eliminated ones, thus continuously improving the optimization capability of the entire ant colony. To avoid the premature loss of colony diversity and early convergence, the algorithm's requirements for colony diversity and global optimization-seeking ability are effectively balanced by setting a reasonable elimination rate for the replacement of
old individuals with new ones. The improved ant colony algorithm is applied to the optimization of multi-dimensional functions and
compared with the immune algorithm, the standard particle swarm optimization algorithm, and the conventional ant colony algorithm.
The experimental results demonstrate that the hybrid ant colony optimization algorithm enhanced with mutation and metabolism has
superior algorithmic efficiency and global optimization-seeking ability compared with the conventional ant colony algorithm and other
common intelligent algorithms.



Theoretical and Practical Research on "Practice-Study-Ask" Teaching Method in "Advanced Mathematics" under the Concept of Interdisciplinary and Collaborative Education#br#

Hu Jiayuan, Tang Jun, Zhan Yu

2025, 10(6):  25-31. 

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In order to solve the problems of insufficient ability of "raising questions" and "seeking for the answers", as well as the
problems of excessive emphasis on content, derivation and calculation in the instructional design in "Advanced Mathematics", this
paper guided by the OBE concept, advocate interdisciplinary and cross disciplinary collaborative education which break down the
professional barriers. Moreover, it improves the education path of "Advanced Mathematics" from the three perspectives of mathematical
applications, mathematical thinking, and mathematical culture. Based on constructivism, it innovatively proposes the "Practice-Study-
Ask" teaching method which will break the educational pattern of "prioritizing knowledge over thinking" and put the training of
students' ability to apply mathematics into practice.


Design and Performance Optimization of SCAPS Simulation Experiment for Solar Cells

Li Shiwen, Zhao Qirong, Zhao Enming, Hu Yongmao, Zhou Bao

2025, 10(6):  32-37. 

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SCAPS software was used to simulate the optimization of the hole transport layer and the electron transport layer in
perovskite solar cells. Firstly, the basic model of perovskite solar cells was established, and spiro-OMeTAD and TiO₂ were replaced
with CuI and C60 as the hole transport layer and the electron transport layer, respectively. Through simulations, the effects on
parameters such as photoelectric conversion efficiency, open-circuit voltage, short-circuit current density, and fill factor of perovskite
solar cells were studied. The results indicate that the optimized alternative materials can significantly increase the photoelectric
conversion efficiency of perovskite solar cells by 200%. On the one hand, this study provides a reference for optimizing solar cells. On
the other hand, it also helps students to learn to use SCAPS software to simulate the structure and performance of solar cells and
understand the ideas and steps for optimizing solar cells. In addition, this study can provide a theoretical basis for further guiding the
preparation experiments of perovskite solar cells.


A Multi-Feature Fusion Bird Song Recognition Method Based on MobileViT

Luo Chuang, Chen Bobo, Zhang Jilei, Li Yanpeng, Fang Yihao, Su Xukun, Zhao Enming

2025, 10(6):  38-46. 

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Objective: Monitoring bird diversity is a major challenge, as birds are more easily heard rather than seen. To improve the
accuracy of bird song recognition, a multi-feature fusion bird song recognition method based on MobileViT is proposed. Methods:
Using the Beijing BirdsData database as the research object, three different spectrogram sample sets were extracted from preprocessed bird song signals and used as inputs to train three single feature models based on MobileViT. Finally, adaptive weighted feature fusion on the three single feature models was performed. Results: The recognition accuracy of the multi-feature fusion model on the spectrogram test set reached 97.57%, with an improvement of 1.77%-2.24% compared to the single feature model. Conclusion: Different spectrograms extracted from the same bird song signal exhibit differences in the characteristics of bird song, and multifeature fusion models can learn more extensive information from them, thereby significantly improving recognition accuracy.


Bird Diversity of Weishan Qinghua Green Peafowl Provincial Nature Reserve

Cui Maohuan, Wang Rongxing, Zhou Shunfu, Guo Baohua, Yang Jiawei, Hu Changping

2025, 10(6):  47-62. 

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By using infrared camera trap method, spline method, interview method, and literature review method, the bird diversity of
Weishan Qinghua Green Peacock Provincial Nature Reserve was sorted and analyzed. A total of 197 species belonging to 121 genera
and 55 families in 17 orders of birds were recorded, including 34 species of birds under national key protection, 5 species listed as
threatened species at the vulnerable level or above in the China Biodiversity Red List, 2 species listed as threatened species at the
vulnerable level or above in the IUCN Red List of Threatened Species, 17 species listed in the Appendices of the Convention on
International Trade in Endangered Species of Wild Fauna and Flora （CITES）, and 161 species of birds listed as "three categories of
protected animals". In terms of residency type, resident birds are the main ones （147 species, accounting for 74.62%）, followed by
summer migratory birds （25 species, accounting for 12.69%）. Among the 172 bird species bred locally, the Oriental species are the
main ones（ 117 species, accounting for 68.02%）, while the others are widely distributed species（ 55 species, accounting for 31.98%）.
In terms of habitat distribution, broad-leaved forests have the highest species richness of birds, followed by coniferous forests, and
stream waters have the lowest. The inter family diversity index （DF）, inter genus diversity index （DG）, and species diversity G-F index
of birds are 27.042 8, 4.633 4, and 0.828 7, respectively. This survey has updated the background of bird resources in the protected
area and proposed corresponding suggestions for the protection and management of bird resources.


The Spatiotemporal Dynamics of Coleoptera in the Campus Green Forests of Dali University

Zhang Chuanjing, Yang Xia, Huang Jing, Fang Xuelan, Deng Qiaodi, Huang Zhipang, , ,

2025, 10(6):  63-68. 

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Conducting biodiversity monitoring is the premise of conservation and management. The monitoring of Coleoptera insect
diversity in campus green forest ecosystem can provide support for further scientific management and maintenance of green forest. From
January to November 2018, a survey of Coleoptera insects was conducted in eight typical green space plots in the Ancient City Campus
of Dali University using pitfall traps. A total of 1 615 Coleoptera insects were collected, belonging to 12 families. Among them, the
families Tenebrionidae （42.17%）, Nitidulidae （15.17%）, Melolonthidae （12.07%） and Curculionidae （10.46%） were the dominant
families, while Histeridae （0.25%）, Geotrupidae （0.68%）, Silphidae （0.06%） and Lathridiidae （0.06%） were rare families. The
composition of Coleoptera insect groups among the eight types of green forests showed medium to very high similarity at the family level
（0.64≤q≤1.00）, and the overall diversity of Coleoptera families was relatively low （H = 1.55± 0.23）. The overall abundance of Coleoptera
insects exhibited a bimodal pattern, with peaks occurring in April and September. This bimodal pattern was primarily driven by the
dynamic changes in the abundance of dominant groups. The heterogeneity among different types of green spaces was low, and it is
recommended to increase habitat complexity to enhance the spatial heterogeneity of community habitats.


Autumn Diurnal Raptor Migration Patterns in the Zhemoshan Area of Dali, Yunnan Province

Dong Jiangtian, Shui Ziwen, Zhang Shuxia, ,

2025, 10(6):  69-74. 

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Due to the population decline of over half raptor species caused by human activities, the decline of raptors has become a
symbol of the global biodiversity crisis, and there is an urgent need to strengthen protection. From September to November 2023, a
fixed-point survey method was used for the first time in the Zhemoshan Area of Dali, Yunnan to investigate and count the species
diversity of raptors during daytime migration and transit, and to study the migration patterns of raptors. During the investigation, a total of 26 species of diurnal raptors belonging to 2 orders and 3 families were recorded, with a total of 3 674 individuals, including 1 413
individuals of uncertain species. In terms of species composition, Pernis ptilorhynchus, Buteo japonicus, Accipiter virgatus, Falco
tinnunculus, and Accipiter nisus are the top five species with the highest number of recorded individuals, accounting for 82.8% of the
total identifiable species. The number of individuals crossing the border in a single day reached its maximum on October 13th,
amounting to 519. Due to some human interference in the current Zhemoshan migration route during autumn, it is urgent for the
government to take management measures to protect it.


Investigation and Study on the Diversity of Vascular Plants in Weishan Weibaoshan State Nature Reserve

Li Jinliang, Yang Yanlin, Wang Youbing, Hu Changping, Li Yanan, Yang Shujiao, Dai Junhong

2025, 10(6):  75-82. 

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By combining field investigations with consulting relevant materials, the plant and vegetation diversity of Weishan Weibaoshan State Nature Reserve was sorted and analyzed. The results showed that a total of 663 species of vascular plants belonging to 410 genera in 157 families were recorded in the protected area, including 14 rare and endangered protected plants. According to the classification principles of Yunnan Vegetation, the vegetation types in the protected area are divided into 6 vegetation types, 9 vegetation subtypes, 11 formations, and 17 associations. The main vegetation types are ranked by area as follows: semi humid evergreen broad-leaved forest > warm temperate coniferous forest > warm temperate deciduous broad-leaved forest > mid mountain humid evergreen broad-leaved forest > mountaintop moss dwarf forest > secondary grassland. The plant composition of the reserve is complex and rich, and the vegetation types are diverse, typical and rare, which has important protection value.


A Newly Recorded Invasive Plant Drymaria villosa and Its Invasiveness Analysis in Yunnan Province

Yang Shujiao, Li Jinliang, Hu Changping, Yang Jianjun, Jiang Jianfa, Wang Youbing

2025, 10(6):  83-84. 

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A newly recorded invasive plant in Yunnan Province has been reported: Drymaria villosa, a plant species belonging to the
Caryophyllaceae family and the Drymaria genus. The article introduces its biological characteristics and habitat structure, and analyzes
its harmfulness, diffusivity, and invasiveness.


Study on the Current Status of Biological Resource Utilization in the Southern Part of Baima Snow#br# Mountain Based on Community Visits#br#

Ma Jinlin, Wang Yang, He Xiangdong, Zhaba Duji, Lai Jiandong, Zhashi Pinchu, Li Yanpeng

2025, 10(6):  85-91. 

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The Baima Snow Mountain National Nature Reserve in Yunnan is currently facing a contradiction between community
development and conservation management. To address this issue, this study conducted a survey on the utilization of wild animal and
plant resources by residents in the surrounding communities of the protected area, in order to propose effective conservation measures.The study used convenience sampling method to conduct community interviews and analyzed the current utilization status of wild animal and plant resources. The results indicate that residents in the surrounding communities of the protected area have a high degree of dependence on wild animal and plant resources; there are significant differences in the utilization of resources among different groups of people; the utilization of wild animal and plant resources can bring certain economic benefits, but the resources themselves are showing a decreasing trend. In response to the above issues, it is recommended to strengthen artificial cultivation of wild plants, carry out targeted legal education campaigns, and develop ecotourism projects to achieve a balance between community development and conservation management.


Research on Site Selection of Cold Chain Distribution Centers Based on Probabilistic Linguistic#br# Interactive Multi-Attribute Decision-Making#br#

Hu Limei, , Zhang Guobao,

2025, 10(6):  92-100. 

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As a linkage between upstream producers and downstream consumers, the site selection decision of cold chain distribution
centers is crucial for ensuring the operational efficiency and product quality of cold chain logistics. Considering the complex and
uncertain decision-making environment, and in order to enhance the comprehensiveness and accuracy of site selection decisions, this
paper proposes a cold chain distribution center location selection model based on probabilistic linguistic interactive multi-attribute
decision-making. This model integrates probabilistic linguistic term sets, Shapley function value, and the fuzzy comprehensive
evaluation method. Firstly, an evaluation index system for the location selection of cold chain distribution centers is established. Then
the probabilistic linguistic term set is used to handle the uncertainty and fuzziness of the evaluation information, while the Shapley
function values are introduced to effectively reveal the intrinsic relationships among interactive attributes. Furthermore, the fuzzy
comprehensive evaluation method is integrated to obtain a comprehensive evaluation result for the site selection. Finally, By combining
the model with the actual policy background, the practicality and effectiveness of the proposed model are verified through case analysis
and comparative analysis, improving the scientificity and rationality of the site selection decision-making.