bluuebunny/crossref_metadata_2025_split huggingface dataset:
Combining big data for college students’ network ideological and political innovation education
Authors: Ban Ruijun 
Published: July 2023

Abstract
Do a good job in the way of college students’ network political innovation based on big data thinking, so that it can play a stronger advantage and energy in college education. Carrying out innovative exploration of college students’ curriculum education based on big data thinking can continuously deepen the theoretical research significance of Internet political education. It can also put forward suggestions for better practice of network ideological and political education in colleges and universities, which has the dual significance of theoretical construction and practical guidance. Therefore, the MCA-sampling model is designed in this paper. According to the calculation of the sampling model, the opportunity for online ideological and political data literacy is 11%, and the challenge is 89%. This is because any flaws at any level will bring a severe test to the calculation of the effectiveness of online political teaching methods for students, which greatly increases the difficulty of online political educators. Through the horizontal comparison, it can be seen that the acceptance theory focusing on “receiver-centered” is the most innovative. Its innovativeness is 83%. The probability of timely method innovation is as high as 89%. The most unstable aspect of innovation probability is the root cause. Its probability of innovation is at least 24%.
Tool wear prediction method based on the SVM-Clara model
Authors: Yang Yi , Sun Liang 
Published: July 2023

Abstract
To reduce the damage of mechanical parts during machining, a tool wear prediction method based on the SVM-Clara model is proposed. By analyzing the support vector machine (SVM) and Clara algorithm, using regular prediction data or unobservable data, the average dissimilarity of all objects is concentrated, and the characteristics of the overall data are accurately represented. Randomly select data samples from the overall data samples according to a certain proportion, and standardize them to improve the clustering quality. Find the best objective function to minimize the damage function and make the predicted value closer to the actual value. Through experiments, it is proved that the method in this paper can accurately predict the tool wear condition, the mean square error value is 0.03, the prediction method is better, and the production efficiency is ensured.
Fuzzy mathematical algorithm under the design of college soccer teaching network platform
Authors: Fu Jiaqing 
Published: July 2023

Abstract
In the Internet era, soccer teaching has gotten rid of the previous theoretical teaching mode and paid more attention to the use of video and multimedia for network teaching. In this paper, from the perspective of a fuzzy mathematical algorithm, the mathematical set algorithm is used to construct a fuzzy matrix through algorithm mapping, calculate the NMI value of the equivalent algorithm and the comprehensive rating weights of U1-U10 in the evaluation elements of soccer network teaching, and derive the fuzzy transformation value of the rating result of soccer network teaching platform as 83.7895. The probability distribution value is inferred to be 45.8% on average by creating the affiliation function and then calculating the search accuracy, platform recall, and teaching F1 metrics of the Zadeh mathematical operator. After calculating the weighted average value of B=87.6617 for the Zadeh mathematical operator through the metrics, an empirical analysis of the feasibility of invoking the fuzzy mathematical algorithm in the soccer teaching web platform was conducted. The results showed that the total number of students who wanted to continue using the platform was 36,530, accounting for 91.33% of the total number of students, indicating that the use of fuzzy mathematical algorithms to participate in the teaching of the online platform is significantly better than the traditional teaching model and is conducive to improving the effectiveness of student autonomy.
Artificial intelligence technology-based approach to mining Civic Science elements in public mental health courses in universities
Authors: Zhang Xi 
Published: July 2023

Abstract
Artificial intelligence technology is rapidly developing and has been widely used in various industries, for the current social focus on ideology and politics, so this paper uses artificial intelligence technology to study the ideological elements of public mental health courses in colleges and universities. We measure the dataset so that the number of samples is not too large, select the smallest subset of features according to the criteria, make the classifier less complex and improve its ability to generalize the algorithm, remove redundant or irrelevant features, and simplify the dataset to achieve dimensionality reduction. The probability relationship between the attribute set and the class variable is modeled using Bayesian, and the category corresponding to the guess with the highest probability is selected to obtain the classification effect in the supervised learning sample set, and the probabilities are estimated from the training tuples, considering two different attribute types separately. Combined with the logistic regression model to obtain the weights of the independent variables, the output likelihood is calculated according to the selected parameters, the appropriate parameter vector for the model is found, and the parameter that minimizes the cost function is found to complete the mining of the SiM elements. The analysis results show that artificial intelligence technology has better accuracy and prediction in performance, and it is concluded that moral education is the best development and physical education is the relatively worst in the study of Civic and Political Science elements, with a different value of 5.48%, and after deepening teaching will make the elements balanced and students develop better in all aspects.
Research on the optimization of the path of the agricultural logistics industry under the innovative mode of “blockchain + supply chain finance”
Authors: Huang Man , Lian Jie 
Published: July 2023

Abstract
To promote the development and application of “blockchain+supply chain finance” in the agricultural logistics industry, this paper uses the ECC algorithm in the blockchain model as the basis and implements an asymmetric encryption algorithm based on elliptic curve mathematical theory to optimize the ECC algorithm. Based on the ECC algorithm in the blockchain model, this paper implements an asymmetric encryption algorithm based on elliptic curve mathematical theory to optimize the ECC algorithm. Combining the dynamic variational particle swarm optimization algorithm and the AdaBoost integration algorithm, the DPSO-SVM algorithm is weighted and combined into a strong classifier, and an evaluation model based on AdaBoost-DPSO-SVM is established, and the model is compared with other models. The experimental results show that the data platform based on “blockchain + supply chain finance” can well solve the problem of loss of confidentiality in the process of identifying agricultural products in the agricultural logistics industry. This also shows that through the way of “blockchain + supply chain finance”, it can provide a better development path for the agricultural logistics industry and can truly achieve low-cost commercial communication, i.e. multi-functional integration development.
Analysis of factors influencing the accumulation of psychological capital of college students under the theory of cognitive psychology
Authors: Li Xiushan , Guo Na 
Published: July 2023

Abstract
As a psychological quality and developmental potential of college students, the accumulation of psychological capital is influenced by a variety of factors. Individuals do not exist in isolation, and their psychological and behavioral changes often depend on the relationships that exist with others. In this paper, from the perspective of cognitive psychology, we intend to introduce the origin, classification, application conditions, and estimation methods of the network autocorrelation model, compare the differences between the conventional linear model and network autocorrelation model in processing relationship data through a simulation study, explore the factors influencing the accumulation of psychological capital of college students, and analyze the internal and external factors influencing the psychological capital of college students through the results of questionnaire survey. The actual role and sensitivity of these factors are explored and analyzed, expecting to provide ideas for the intervention and enhancement of college students’ psychological capital accumulation and to provide certain pedagogical references as well as inspiration for the cultivation of students’ psychological quality.
Medical emergency supplies dispatching vehicle path optimization based on demand urgency
Authors: Chen Min , Zhou Shilin , Gong Yihang , Tang Li 
Published: July 2023

Abstract
In recent years, the frequency of disasters, natural disasters, and other emergencies has been increasing worldwide. When an emergency occurs, effective rescue measures must be taken promptly to minimize the loss of life and property. In the process of rescuing casualties, a large amount of medical emergency supplies are urgently needed. Therefore, it is of great practical significance to study the vehicle path problem in medical emergency supplies dispatching. In this paper, we take the vehicle path optimization problem of medical emergency supplies dispatching considering the demand urgency as the research object, design the improved cuckoo-ant colony hybrid algorithm to solve the model based on the urgency analysis, and compare it with the ant colony algorithm and cuckoo algorithm to verify the efficiency of the designed algorithm. The results show that compared with the vehicle path scheme without considering the demand urgency, the path optimization scheme considering the demand urgency is more expensive and requires a small increase in time, but improves the efficiency and rationality of medical emergency supplies dispatching. The study of the emergency vehicle path problem can improve the weaknesses in the current emergency rescue decision-making, so that the emergency rescue work can be done quickly, economically, and reasonably, and provide a theoretical basis and suggestions for the emergency management department when making decisions.
Construction of a personalized learning platform based on genetic algorithm for specialized education in industrial colleges in the context of industry-education integration
Authors: Fang Bin 
Published: July 2023

Abstract
Under the progress trend of the information technology period environment of deepening study curriculum reform, personalized learning in specialized education of industrial colleges has become one of its key contents. This paper mainly studies the necessary system design based on characteristics of genetic calculation for specialized education in industrial colleges under industry-education integration. This paper first introduces the principle of genetic algorithm. It then proceeds to introduce in detail the shortcomings of The advantage of this calculation method is that the standard calculation tendency is unable to move forward in an area extremes, the iteration is relatively slow, and the low accuracy when dealing with optimization problems. Then the design and construction ideas of the personalized platform and the database design from Learners, educators (teachers), and administrators are compared by experimentally analyzing the data diversity and convergence of the three algorithms on the database. Experimentally, the diversity of the self-adaptive genetic algorithm is maintained at 0.8, and the diversity, iteration time, and convergence standard are better compared with the comparison subject. Using a self-adaptive genetic algorithm to evaluate and rank learners’ personality differences and to provide and recommend suitable learning methods for learners helps develop education and improve teaching quality and has great historical significance for China’s development and international status.
Application of ecological architecture in architectural design based on information technology integration
Authors: Zhang Yihan 
Published: July 2023

Abstract
With the development of China’s economy and society, along with the current situation of resource shortage and environmental deterioration, the traditional building production model has long failed to meet the actual requirements of architectural design, which has seriously restricted the development space of the construction industry. Green ecological building is one of the important initiatives to achieve energy saving and emission reduction in the construction industry and is also an important aspect of achieving sustainable social development. This paper proposes the application method of BIM technology in green buildings to solve the problems of green building in traditional design by studying the characteristics of building information model (BIM) technology and related standards, the principles and objectives of green ecological building design and green building design strategies and other related basic theories, combined with the advantages and characteristics of BIM such as visual design, collaborative design, information interoperability and performance simulation, The workflow of BIM technology in green building design is introduced. Based on ecological architecture and supported by the building information model, the application of ecological architecture in high-rise building design based on the integration of information technology is constructed, and the energy-saving efficiency of this method is increased by 16.7% compared with the traditional method. Building ecology design is a new concept based on integrating building information modeling (BIM) technology and green ecological architecture. With the development of building information modeling (BIM) technology, the green ecological building design concept will certainly play a positive role in promoting the diversification of architectural design and the efficient and rapid development of the architectural design. At the same time, to realize the effective saving of land resources, to promote the harmonious development of ecology, environmental protection, and residents, and to apply eco-architecture in the design of high-rise buildings is also an inevitable choice to realize the long-term as well as stable development of cities, and is the future trend of the development of the construction industry.
Analysis of factors influencing the development of Civic Education for senior students of Chinese party culture based on ISO model
Authors: Yang Xiaole 
Published: July 2023

Abstract
Higher vocational schools are responsible for training socialist builders and later generations, and they must always take moral education as their development purpose, penetrate ideological and political education into the whole stage of education and teaching, implement the three comprehensive education guidelines, and try their best to cultivate generations of talents who support the leadership of the Communist Party and the Chinese socialist system, and firmly contribute to socialism with Chinese characteristics. In this paper, we analyze the situation of the implementation of Civic Science and Politics in higher education institutions by investigating the implementation of the Civic Science and Politics curriculum in higher education institutions and using a more scientific questionnaire and ISO analysis to analyze the situation of Civic Science and Politics practice in higher education institutions and study the root causes of the slow development of Civic Science and Politics education. There are four main factors influencing the construction process of the development of the college’s curriculum thinking politics: 69.9% believe that there is a siloed model of the college’s thinking politics theory course, 56.7% of the college’s teachers’ ability to educate people in the curriculum is not strong, 73.2% of the professional courses’ thinking politics education resources cannot be fully explored, and 51.3% of the college does not have a mechanism for judging the effectiveness of the curriculum thinking politics. The experimental results of this paper show that the ISO analysis method can be used to know the influencing factors to promote the development of thinking and political education scientifically and to propose strategies based on the problems, which can help to propose the promotion for the reform of the thinking and politics work in Chinese universities and has certain significance to continuously improve the actual effectiveness and validity of the thinking and political education work in higher education institutions, etc.
The Construction of Cultural Translation Research System under Big Data Technology
Authors: Chen Min 
Published: July 2023

Abstract
In the context of big data development, one of the reasons for the ineffectiveness of Chinese cultural translation research is the lack of attention to the “system construction”, this paper focuses on the construction of the cultural translation research system under the big data technology, based on the MOOC recommendation system using the recommendation engine group for the hybrid recommendation, the recommendation engine group integrated the use of the mainstream collaborative filtering algorithm based on foreign translation literature in the recommendation algorithm. Through the experimental analysis, the model performance reaches the maximum when the number of cultural literature is 7, and the F_1 of the traditional method is improved by about 2.6%. Compared with the original recommendation algorithm, the improved recommendation algorithm of the MOOC implicit scoring model can get more accurate recommendation results to promote the construction of a Chinese cultural foreign translation discourse system. It is expected to promote the construction of Chinese cultural foreign translation discourse system, show the vitality, staying power, and influence of China’s excellent culture to the world, enhance the international discourse power and cultural soft power of Chinese culture in the new era, and contribute Chinese wisdom to global cultural exchange and governance.
Comparative investigation on the influence of metakaolin, metaillite and steel slag as SCMs in mortar on the corrosion behavior of embedded steel
Authors: Achenbach R. , Raupach M. 
Published: July 2023

AbstractWith the aim of saving CO2in cement production, various approaches are currently being pursued in the development of new materials. One possibility is to reduce the ratio of clinker to cement by using supplementary cementitious materials (SCMs). Some SCMs like fly ash or granulated blast furnace slag have been used successfully in cement for a long time and their use is covered by standards. Since the availability of these materials cannot be ensured in the long term, alternative additives are also being tested. The results presented here were obtained as part of a joint research project that was carried out in cooperation with the Bauhaus University Weimar. In this study, three different SCMs are investigated with regard to their effect on the corrosion of steel embedded in mortars: A metakaolin, a metaillite, and a modified steel mill slag were each tested at a proportion of 30 wt.% in a CEM I reference cement. In the two-stage tests, the passivation behavior of steel in mortars was first investigated in electrochemical tests. Based on this, tests were carried out in leached solutions of the different binders with different Cl–/OH– ratios.The results show that all the blended types of cement investigated provide passivation of the steel in mortar. The use of the calcined clays metakaolin or metaillite resulted in higher polarization resistances and lower passive current densities as well as increased electrical resistivities, especially for metakaolin. The steel in mortar with the steel mill slag showed comparable electrochemical behavior to the OPC mortar. The tests in leached solutions slightly indicate a higher corrosion-inducing Cl–/OH– ratio when using metakaolin or steel mill slag.
Variation of Coral Fish Communities in Coral Transplantation Sites, Kecinan Beach, Malaka Village, North Lombok
Authors: Ridwan Ridwan , Nurliah Nurliah , Jefri Edwin 
Published: July 2023

Coral reefs are a very complex ecosystem with a fairly high diversity of biota, the existence of coral fish will be greatly affected by the condition of coral reefs, coral transplantation is an effort to restore coral reefs which aims to improve coral reef ecosystems. This study aims to look at the reef fish community in coral transplant media. Data collection was carried out on January 15 – February 26, 2023. The method used in this study was a survey method. Data was collected using the Underwater Visual Census (UVC) technique and underwater cameras using SCUBA equipment. Data collection was carried out 4 times by looking at diversity, abundance, and categories based on how they eat. The results of this study obtained 6 families belonging to 13 genera and 15 species of reef fish with a total of 549 individuals. The categories of fish found consisted of 4 categories, namely 3 species of carnivores, 2 species of herbivores, 8 species of omnivores, and 2 species of corallivores. The diversity index value (H') was 1.662, the uniformity index (E) was 0.613, and the dominance index value (C) was 0.266.
Penghitungan Peak Ground Acceleration (PGA) di Desa Kuta Menggunakan Persamaan Empiris pada Gempabumi 19 Agustus 1977 (Mw = 8.3)
Authors: Sadela Suhada Annisa , Kardoso Ricko , Zuhdi Muhammad , Syamsuddin Syamsuddin 
Published: July 2023

The August 19, 1977 earthquake was one of the major earthquakes that ever occurred in the Nusa Tenggara area with an impact on the island of Lombok, one of which was in Kuta Village. The purpose of this research is to determine the empirical equation that is suitable for use in Kuta Village to calculate the Peak Ground Acceleration (PGA) value in the form of a distribution map. The PGA value can provide an overview of the damage to buildings caused by the earthquake. The PGA calculation uses several empirical equations of Donovan, M.C.Guirre, Esteva, and Oliviera. Earthquake data was obtained through data released from the USGS and the destructive earthquake catalog. The PGA value obtained with the Donovan empirical equation is a PGA value that is close to the value from the results of the BMKG Shakemap scenario with the MMI III scale. This earthquake did not cause damage to the Kuta Village area but damage was caused by the tsunami after the earthquake occurred.

Keywords: Sumba Earthquake, Kuta Village, Maximum Ground Acceleration, Empirical Equation.
Surface Emitting Quantum-Cascade Lasers with a Second-Order Grating and Elevated Coefficient of Coupling
Authors: Babichev A. V. , Kolodeznyi E. S. , Gladyshev A. G. , Kharin N. Yu. , Petruk A. D. , Panevin V. Yu. , Voznyuk G. V. , Mitrofanov M. I. , Slipchenko S. O. , Lyutetskii A. V. , Evtikhiev V. P. , Karachinsky L. Ya. , Novikov I. I. , Pikhtin N. A. , Egorov A. Yu. 
Published: July 2023

AbstractA study is performed of features of surface-emitting quantum-cascade lasers with a ring resonator and second-order diffraction grating. The coefficient of coupling can be raised to 12 cm−1by selecting the modes for direct ion lithography etching. Lasing is done near 7.6 μm with a threshold current density of only 0.3 kA/cm2.
Differences in Defect Distribution Across Scan Strategies in Electron Beam AM Ti-6Al-4V
Authors: Quintana Maria J. , O’Donnell Katie , Kenney Matthew J. , Collins Peter C. 
Published: July 2023

Abstract
The fraction and size of pores present in EBM Ti-6Al-4V specimens varies depending on the melting strategy used, whether linear raster melting or point melting.