bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengumpulan Alat Bukti Tindak Pidana Pencucian Uang dari Hasil Korupsi (Studi Kasus Polda Sulawesi Selatan)
Authors: Rungngu Paul Lole Landoroy Palimbong , Mirzana Hijrah Adhyanti , Muin Audyna Mayasari 
Published: September 2023

This study aims to analyze the process of proving money laundering that originates from corruption cases, which focuses on investigative actions in terms of efforts and obstacles faced by investigators by using data collection techniques, namely library research and field research, the data obtained is then analyzed qualitatively and described descriptively. The results of the study show that, (1) Investigators Find Allegations of Money Laundering Crimes, Receive Reports of Money Laundering Crimes from the Public, Carry out Investigations, Carry out Investigations, Submission of Case Files to Public Prosecutors (2) Obstacles faced by Investigators in handling cases include legal and statutory problems, overlapping authorities to investigate money laundering crimes, difficulties in finding evidence and problems with law enforcement/or investigator factors.
Abstrak
Penelitian ini bertujuan untuk menganalisis proses pembuktian tindak pidana pencucian uang yang bersumber dari kasus korupsi, yang terfokus pada tindakan penyidikan dalam hal upaya serta kendala yang dihadapi penyidik dengan menggunakan teknik pengumpulan data yaitu dengan penelitian kepustakaan dan penelitian lapangan, data yang diperoleh kemudian dianalisis kualitatif dan diuraikan secara deskriptif. Hasil penelitian menunjukkan bahwa, (1) Penyidik Menemukan Adanya Dugaan Tindak Pidana Pencucian Uang, menerima Laporan Tindak Pidana Pencucian Uang dari Masyarakat, Melaksanakan Penyelidikan, Melaksanakan Penyidikan, Penyerahan Berkas Perkara Kepada Jaksa Penuntut Umum (2) Hambatan yang dihadapi Penyidik dalam penanganan kasus meliputi masalah hukum dan Undang–Undang, tumpang tindihnya kewenangan penyidikan tindak pidana pencucian uang, Kesulitan dalam menemukan barang bukti serta masalah faktor penegak hukum / atau penyidik.
Kinetics of phenol hydroxylation reaction of open mesoporous TS-1 with high backbone titanium content
Authors: Wang Shuai , Yang Zhenyuan , Xu Lei , Wang Na , Mu Shenglong , Jiao Yilai 
Published: September 2023

Abstract
High skeletal titanium content, open mesoporous TS-1 titanosilica molecular sieves with more accessible active centres exhibit higher catalytic activity, target product selectivity and resistance to coking deactivation in green catalytic oxidation reactions using hydrogen peroxide as oxidant. In this paper, TS-1 titania-silica molecular sieves without anatase, with the highest theoretical skeletal titanium content (2.0 wt%) and open mesopores (mesopore volume 0.71 cm3/g) were synthesised based on the ageing dry gel limited domain conversion method invented in previous research work. The intrinsic kinetics of the catalytic reaction of phenol with hydrogen peroxide for direct hydroxylation of benzenes was investigated. The effects of stirring rate, phenol concentration, hydrogen peroxide concentration, catalyst dosage and reaction temperature on the initial conversion rate of phenol were investigated, and the experimental data were fitted with a power function equation to obtain the intrinsic kinetic equation of the catalyst

(

r
=
2.98
×

10

6

exp

(

−

56.43
×

10

3

R
T

)

c

1.07

(

Phenol

)

c

0.10

(

H

2

O

2

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)

\left( {{\rm{r}} = 2.98 \times {{10}^6}\,\exp \,\left( { - {{56.43 \times {{10}^3}} \over {RT}}} \right){c^{1.07}}\left( {{\rm{Phenol}}} \right){c^{0.10}}\left( {{{\rm{H}}_2}{{\rm{O}}_2}} \right)} \right)

. Under the condition of eliminating the effect of internal and external diffusion, the reaction was 1.07 and 0.10 for phenol and hydrogen peroxide, respectively, with a reaction activation energy of 56.43 kJ/mol. This study provides a theoretical basis for the reactor and process design of hydroxylation of phenol to benzenediol based on this new catalyst.
Construction of a coupled evaluation index system of rural habitat environment and rural tourism in China based on multi-objective optimization algorithm
Authors: Liu Xiaojing 
Published: September 2023

Abstract
This paper presents a coupled evaluation of rural habitat environment as well as rural tourism in China based on a multi-objective optimization algorithm. Firstly, the ANN model is used as the three objective evaluation function values of CVBEC, LCC and LCCO2 as the dependent variables, and the NSGA-II algorithm is introduced as the optimization algorithm for the multi-objective optimization of rural architectural design. Secondly, based on the ANN-NSGA-II algorithm, an improvement strategy is proposed for the rural building environment algorithm, and the multi-objective discrete particle swarm algorithm with a dominant ranking number is applied to rural tourism route planning. Then the coupled evaluation system of rural habitat environment and rural tourism is constructed by first and second-level indicators. Finally, the coordination degree and spatial autocorrelation analysis of the multi-system coupling relationship are conducted for the coupling evaluation system. The study shows that the coordinated development degree P value increased from 0.02 in 2017 to 0.83 in 2022, Moran’s I index of living environment and ecological environment system is greater than 0, and the Z value is greater than 1.63.
The current situation and measures for the protection of marine intangible cultural heritage in Hainan in the context of big data
Authors: Deng Qiongfei 
Published: September 2023

Abstract
In order to construct a knowledge graph of Hainan marine intangible cultural heritage, this paper designs the graph database by setting the annotation system and semantic structure of the intangible heritage metadata. For the named entity recognition of the knowledge graph, a model combining long and short-term memory neural networks and Bi-Lstm-CRF with conditional random field is established. The recognized entities are processed based on the Bert pre-training model, and the semantic relations are extracted by combining the cluster search method. Compared with other models, the accuracy rate of the Bs-Spert model for the extraction of semantic relations of the Hainan marine NRM dataset is improved by 0.64%, 0.85% and 0.98% compared with GCNRE, Match Blank and MTDS, respectively. Meanwhile, other metrics of the Bs-Spert model also performed well, with a recall rate of 82.26% and an F1-value of 74.01%. By constructing a knowledge map based on the graph database, we can analyze the current situation of Hainan’s marine NRM more comprehensively and thus propose corresponding countermeasures.
An analysis of the applicability of integrating Confucian moral education ideas into the Civic Education of college students under the perspective of cultural communication
Authors: Yi Mingrong 
Published: September 2023

Abstract
This paper firstly constructs the mutual mechanism between the characteristics of Confucian moral education thought, and college students’ Civic Education and the influence mechanism of college students’ psychological characteristics on the integration of Confucian moral education thought. Then a logistic regression model of the integration of Confucian moral education into Civic Education was established, and data collection, pre-processing, missing data processing and parameter estimation steps were carried out. Finally, the results of the application of Confucian moral education thought in Civic Education were analyzed, including the analysis of the factors influencing the integration effect and the analysis of the results of psycho-social cognitive factors on the optimization of moral education strategies. The results show that the interaction coefficients of the three regression models of the exposure to Confucian moral education ideas and the effect of ideological and political education dissemination among college students are 0.7325, 0.4817, and 0.3885, respectively, and the coefficients of the interaction terms are all significant at the level of 0.05. The research in this paper has some reference value for promoting the development of moral education and the transmission of cultural values.
Research on the construction of professional clusters in newly built undergraduate colleges facing cultural and creative industries under the background of integration of industry and education
Authors: Hao Jing 
Published: September 2023

Abstract
Firstly, according to the actual situation of some new undergraduate colleges and universities upgraded from teacher training colleges, whose science and technology disciplines are relatively weak but humanities disciplines have an excellent history of nearly one hundred years, the humanities disciplines with strong creativity, such as education, art and media, are closely related through the construction of cultural and creative industry professional clusters. Secondly, based on the clustering algorithm, we classify and quantify the professional relationships of undergraduate institutions, which need to satisfy the assignment rules and perform algebraic operations on the relationship matrix to realize the classification of professional relationships. Then we searched the Chinese literature with “professional cluster” as the keyword to obtain the initial data, and used the clustering algorithm to visualize and analyze the research on professional cluster construction in undergraduate colleges and universities. The results show that when the default values of α1/α0 = 3 and γ[0,1] = 0.6 are used, the seven keywords with the highest emergence intensity are: architecture cluster, transformation development, undergraduate, professional faculty, school, undergraduate school, and big data, and the keyword clustering reflects the research hotspots of professional clusters, which can promote the construction of professional clusters.
Analysis of the Current Situation and Countermeasures of Cross-border Communication of Chinese Medicine Culture in the Context of Big Data
Authors: Yan Qiying , Zhou Yanqiu , Yin Li 
Published: September 2023

Abstract
This paper firstly analyzes the problems of poor effect and translation recognition effect of cross-border communication of Chinese medicine culture. And countermeasures are proposed according to the current situation, and the LDA text model is introduced. Secondly, the LDA model is improved, the method of changing the rate according to the number of topic transfers is applied, and the topic distribution is updated according to the number. Then the functional and holistic framework of the platform is structured to build a cross-border communication platform for TCM culture. Finally, the recognition rate of the improved TD-LDA model is analyzed experimentally, and the recognition rate is improved from 67% to 84% when the number of test sets is below 1000. For the reliability test analysis of the TCM culture platform communication effect, the standard path coefficient SRW from ZYX to TEA is 0.642, t=12.763, p<0.001. The study indicates that the precision of TCM culture platform communication has a positive effect on the cognitive efficacy of TCM communication.
Research on the construction of the evaluation index system of teacher morality in universities under the background of big data
Authors: Li Shengwei 
Published: September 2023

Abstract
This paper constructs the evaluation index system of university teachers’ ethics from the hierarchical structure diagram of the evaluation system. In order to reduce the subjective feelings of the evaluators, a genetic algorithm is introduced to optimize the consistency test of the weights of the hierarchical analysis method. Taking ten colleges and universities in GD province as examples, the GAOHP-AHP model was used to calculate the index weights and then obtain the comprehensive evaluation scores of teacher ethics and teacher morality of each college and university. The results showed that the evaluation scores of ten universities were 3.975, 3.946, 4.075, and 4.078 for love for work, teaching and education, rigorous learning, and being a teacher, respectively. The overall evaluation scores of teacher Q in school 1 increased by 7.13% and 12%, respectively, compared with the other two teachers. This shows that the evaluation index system of teacher morality and teacher style in universities can effectively evaluate the teacher morale and teacher style quality of teachers.
An Empirical Analysis of Internet financing and local economic growth Based on Big Data
Authors: Chen Feifei 
Published: September 2023

Abstract
Internet finance, a byproduct of the close coupling of Internet technology with the financial sector, has contributed significantly to the growth of local economies. This essay first examines the relationship between regional economic growth and online financing. Second, the constraint mechanism between Internet finance and local economic growth is examined using the efficacy function of the coupling degree evaluation model. The consistency of the spillover impact of the Internet finance cluster on the economic growth of the region and the surrounding areas is examined using the spatial effect decomposition. In 2021, the Moran indices of W1, W2, and W3 were 0.418, 0.123, and 0.341, respectively. The correlation between Internet financing and local economic growth is strengthened, while the influence factor of economic and geographical distance is reduced.
Research on the path of integrating Yan’an spirit into the ideological and political education of contemporary college students based on NDK-means algorithm
Authors: Luo Gangfeng , He Rui , Hou Jiale , Wu Wen 
Published: September 2023

Abstract
In this paper, the ideological and political education path is designed according to the spirit of Yan’an. In order to verify the feasibility of the path, as well as to make the student evaluation more effective and objective, the article combines the K-means algorithm and proposes a K-means algorithm based on neighborhood spatial density optimization (NDK-means). The algorithm assists in solving the problem of grading the reliability of student assessment and realizes the labeling of student assessment reliability data. Then, based on the student assessment reliability characteristics and data labeling results, a BP neural network prediction algorithm (CSA-BP) based on crow search improvement is proposed to model the student assessment reliability. The results show that the percentages of freshmen to seniors who are satisfied with the Civic Education proposed in this paper are 85.9%, 82.26%, 76.75%, and 72.45%, respectively, in terms of grade level. Students from urban, rural, and rural areas, in terms of their place of origin, all feel satisfied with the current teaching of Civics and Political Science at 80% or more.
Study of gut microbial homeostasis and targeted therapy for hepatocellular carcinoma based on eigenvalue-fitting superiority algorithm
Authors: Xu Hao , Wu Liying , Liu Bin , Yuan Guojia , Liu Xiaoguang , Chen Nianping 
Published: September 2023

Abstract
In this paper, firstly, we propose the eigenvalue-based goodness-of-fit algorithm to evaluate intestinal microorganisms and liver cancer, based on the basic principle of one-sided right-tailed fitting criterion, using the covariance matrix of the signal can capture the correlation between signal samples, and the maximum-minimum eigenvalue-based goodness-of-fit detection algorithm can be obtained. Secondly, based on the eigenvalue goodness-of-fit algorithm, a training set and a test set were tested using the full-dimensional clinical data set of enrolled cases to construct a prediction model for the risk of metastatic recurrence after HCC surgery and to select evaluation indexes for the prediction model. Then, to further clarify the diagnostic role of lgEr/lgFp on hepatocellular carcinoma, its intestinal microorganism lgEr/lgFp was analyzed with the diagnostic role of AFP on hepatocellular carcinoma. The results showed that for lgEr/lgFp ratio, the analysis was compared between the high AFP cirrhosis group and liver cancer group and the low AFP liver cancer group and cirrhosis group, and it was found that there was a highly significant difference P<0.01. This study emphasizes the influence of intestinal homeostasis on the development of liver cancer, and establishes the link between intestinal homeostasis and the development of liver cancer.
Data Analysis of Linguistic Landscape in the Context of “Internationalization +” Urban Construction
Authors: Kong Hui 
Published: September 2023

Abstract
With the rapid development of internationalization and urban construction, the urban linguistic landscape has become an area of great interest. The purpose of this paper is to explore the data analysis method of urban visual linguistic landscape based on line-of-sight orientation and to optimize the design of urban linguistic landscape based on an improved genetic algorithm. The basic visual analysis unit and the viewable area analysis unit of the linguistic landscape are proposed to quantify the visual characteristic indexes and the optimal view distance of the linguistic landscape. At the same time, the viewable spatial point set analysis unit is used to obtain the view accessibility of the language landscape. Finally, the linguistic landscape optimization model was evaluated and analyzed for application effects. The results show that through the optimized design of 10 linguistic spots in H City National Forest Park, the average score of each spot evaluation is 3.48, and the full score ratio is 63.18%. The urban language landscape optimization model proposed in this paper can effectively improve the aesthetics and visual sensitivity of the urban language landscape.
Seismic performance assessment of typical vertical light industrial building structures based on IDA method
Authors: Dai Hongtao , Sun Hongshuo 
Published: September 2023

Abstract
The seismic response of a typical vertical light industrial building structure is complex, and once damage occurs, it will cause great disasters and losses, so it is very important to evaluate the seismic performance of vertical light industrial building structures. This paper firstly analyzes the IDA principle and determines the ground shaking strength index and structural damage index based on the IDA curve. Secondly, the structural vulnerability curve and the model are derived based on typical vertical light industrial structures, and the structural characteristics of typical vertical light industrial buildings are analyzed. Finally, the seismic performance of the building structure is evaluated and analyzed based on the IDA method, and the seismic vulnerability analysis is carried out for vertical light industrial buildings with different concrete structures. The PA values of CFST structures in four limit states are 0.81g, 0.21g, 0.34g and 0.47g, which are slightly higher than those of RC structures and have better seismic performance.
Fatigue life prediction of power transmission towers based on nonlinear finite element analysis
Authors: Wang Quan , Li Zhengfa , Wang Fan , Li Han 
Published: September 2023

Abstract
In this paper, firstly, the fatigue damage of transmission towers is analyzed from the fatigue load and fatigue damage, and the S-N curve of transmission towers is used to obtain the fatigue damage accumulation. Secondly, the finite element model of the transmission tower is constructed by using the finite element software ANSYS, and the way of its load calculation, as well as the remaining life estimation, is given. Finally, an example analysis was carried out using a transmission tower in the GZ area, and its fatigue life was calculated for it. The results show that when the average wind speed is 15m/s, the maximum wind load time at 40m height is 128N, and the minimum wind load time is −131N. The minimum value of the remaining life of the transmission tower in the GZ area is 64.532, which shows that the fatigue life of the transmission tower can be predicted by using nonlinear finite element analysis.
A study of innovative strategies for teaching English to college students based on tiered probit
Authors: Xie Lili 
Published: September 2023

Abstract
This paper analyzes the current situation of university English teaching and constructs a trinity of EGP+ESP+EIC multiple teaching innovation systems for university English based on the principles of English teaching innovation. In order to analyze this innovative teaching system of English, a stratified statistical model and a spatial autoregressive model are combined, and four ordinal stratified spatial autoregressive Probit models are innovatively constructed to model data where the dependent variable is ordinal, and there is a spatial dependency situation with a stratified structure. The analysis shows that in the process of continuous innovation of English teaching mode, the number of people who are dissatisfied with English teaching decreases by 30%, the number of people who are very satisfied increases by 35%, and the number of people who are very satisfied accounts for 42.5% of the total number of people and 90% of the total number of people who are satisfied in the final stage of innovation of English teaching in university. The English teaching innovation strategy for university students based on this study is feasible.
Research on the application of data mining technology in music therapy in the age of information technology
Authors: Jiang Haichao 
Published: September 2023

Abstract
The wide application of digital mining technology will certainly promote the development of music therapy. In this paper, we first analyze the development of music therapy and clarify the classification of orchestration. Secondly, for the time period model of mining data technology, the mathematical method of the ARMA model and the ARIMA model is investigated. Finally, the music therapy effect of guzheng performance training is predicted based on the ARIMA time series. In accordance with the playing sloped of guzheng clips from Gaojia opera, the relationship between the total number of subjects and the amount of music therapy sessions was examined, as well as the correlation among the number of active behaviors, self-expression, positive emotional expressions, and negative feelings of the subject children. The attentional concentration time showed a highly significant correlation with the number of times under music therapy, i.e., P<0.02, while the number of active behaviors and self-expression showed a significant correlation, i.e., P<0.04.
Design and development of personalized education information management system based on artificial intelligence
Authors: Yi Jie 
Published: September 2023

Abstract
In order to combine artificial intelligence and personalized education, this paper uses semantic similarity to evaluate the similarity between personalized education models and resource information and gives a semantic similarity calculation between word lists. It is used to measure the semantic similarity between user models and texts and between texts, and a recommendation algorithm based on semantic analysis is constructed. Based on this, the needs of personalized education are analyzed, and the personalized education information management system is designed using the MVC framework with a B/S structure. After system testing, we obtained that the MSE value of the review data volume threshold set to 2 was 0.94 on the student information set, 0.86 on the teacher information set, 0.76 on the course information set, 0.74 on the score information set, and 0.81 on the administrative information set.