bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of the Сoncentration of Growth-Regulating Preparation on the Biometric Indicators of the European Cranberry (Oxycoccus palustris Pers.) during in vitro Cultivation
Authors: Макаров С.С. , Феклистов П.А. , Макарова Т.А. , Кузнецова И.Б. , Самойленко З.А.
Published: July 2024

Приведены результаты исследований по выращиванию клюквы болотной (Oxyccocus palustris Pers.) сорта Дар Костромы и гибридной формы 1-15-635 в культуре in vitro на этапе «собственно микроразмножение» на питательной среде WPM. Клональное микроразмножение наиболее целесообразно использовать для ускоренного получения большого количества высококачественного посадочного материала лесных ягодных растений. Однако технологии клонального микроразмножения клюквы болотной сортов российской селекции нуждаются в совершенствовании. В качестве росторегулирующих веществ использовали цитокинин 2-iP в концентрациях 1,0 и 2,0 мг/л и адаптоген Эпин-Экстра в концентрации 0,5 мл/л. При повышении концентрации цитокинина 2-iP от 1,0 до 2,0 мг/л в питательной среде WPM возросли количество (в 1,2 раза) и суммарная длина (в 1,3 раза) микропобегов клюквы болотной in vitro. Добавление препарата Эпин-Экстра 0,5 мг/л в питательную среду способствовало увеличению количества (в 1,1 раза) и суммарной длины (в 1,2 раза) микропобегов. Существенных различий по количеству и длине микропобегов клюквы болотной в зависимости от сорта или формы не выявлено.

The results of studies on the cultivation of European cranberry (Oxyccocus palustris Pers.) of the Dar Kostromy cultivar and the hybrid form 1-15-635 in vitro at the stage of “proper micropropagation” on the WPM nutrient medium. Clonal micropropagation is most appropriate to use for the rapid production of a large amount of high-quality planting material for forest berry plants. Technologies of clonal micropropagation of European cranberry cultivars of Russian selection need to be improved. Growth-regulating substances are 2-iP cytokinin at the concentrations of 1.0 and 2.0 mg/l and adaptogen Epin-Extra at a concentration of 0.5 ml/l. An increase in the concentration of cytokinin 2-iP from 1.0 to 2.0 mg/l in the WPM nutrient medium contributed to an increase in the number (by 1.2 times) and total length (by 1.3 times) of cranberry microshoots in vitro. The addition of Epin-Extra 0.5 mg/l to the nutrient medium contributed to a increase in the number by 1.1 times and a increase in the total length by 1.2 times of microshoots. Significant differences in the number and length of shoots of European cranberry are not revealed depending on the cultivar or form.
Morphophysiological Features of Pinus sylvestris L. in Artificial Plants on Dredge Dump after Gold Mining
Authors: Лукина Н.В. , Чукина Н.В. , Филимонова Е.И. , Глазырина М.А. , Учаев А.П. , Борисова Г.Г.
Published: July 2024

Приведены результаты изучения морфофизиологических особенностей Pinus sylvestris L. в искусственных насаждениях на дражном отвале Увального месторождения россыпного золота. Показано, что в условиях отвала происходило уменьшение таких морфологических параметров, как высота деревьев, ежегодный прирост, диаметр ствола и длина хвои. Формирующийся на отвале древостой P. sylvestris L. относится к Vа классу бонитета. Представлены основные анатомические реакции хвои в условиях отвала: снижение числа смоляных ходов при увеличении их диаметра, уменьшение диаметра центрального цилиндра и площади мезодермы. Выявлено, что на дражном отвале наблюдалось достоверное снижение содержания общего азота и зеленых пигментов в хвое P. sylvestris L. по сравнению с контрольным местообитанием. Отмечено, что основными лимитирующими факторами в условиях отвала являются низкая водоудерживающая способность субстрата, недостаток кальция, магния и органического углерода.

The results of studying the morphophysiological features of Pinus sylvestris L. in artificial plantations on the dredge dump of the Uvalnoye alluvial gold deposit are presented. It is shown that under the conditions of the dump there was a decrease in morphological parameters, such as tree height, annual growth, trunk diameter and needle length. The forest stand of P. sylvestris L. that forms on the dump belongs to the Va class of bonitet. The main anatomical reactions of needles in the conditions of the dump are presented: a decrease in the number of resin canals with an increase in their diameter, a decrease in the diameter of the central cylinder and the area of the mesoderm. It was revealed that a significant decrease in the content of total nitrogen and green pigments in the needles of P. sylvestris L. was observed on the dredge dump compared to the control habitat. It is noted that the main limiting factors in the conditions of the dump are the low water-holding capacity of the substrate, the lack of calcium, magnesium and organic carbon.
Status and Tasks of Improving the Accounting and Assessment of the Species Diversity of Trees and Shrubs in Forestry
Authors: Паленова М.М. , Коротков В.Н. , Нотов А.А. , Сильнягина Г.В. , Кинигопуло П.С. , Золина Т.А. , Югов А.Н.
Published: July 2024

Представлен обзор действующего процесса получения и использования информации о видовом разнообразии деревьев и кустарников в лесном хозяйстве Российской Федерации. Актуальный поток этих данных в лесной отрасли имеет ряд существенных недостатков: устаревший справочник по деревьям и кустарникам в информационных системах Федерального агентства лесного хозяйства, упрощенный подход к представлению информации, проблемы в использовании собранных данных. Обоснована необходимость оптимизации элементов информационной системы и подходов к применению данных о видовом разнообразии деревьев и кустарников в лесном хозяйстве. Определены задачи, связанные с формированием отраслевого списка приоритетных видов деревьев и кустарников и совершенствованием подходов к сбору, обработке и использованию данных. Предложенные рекомендации будут способствовать совершенствованию информационных систем Рослесхоза и гармонизации представления Российской Федерацией материалов в международные информационные системы ФАО и ООН.

The article offers the reader an overview of the current process of obtaining and using information on tree and shrub species diversity in the forestry sector of the Russian Federation. The current flow of data on their diversity has a number of significant drawbacks in the forestry sector. Among them are the outdated reference book on trees and shrubs in the information systems of the Federal Forestry Agency, a simplified approach to presenting information, and problems in using the collected data. The authors justify the need to optimize elements of the information system and approaches to the application of data on the species diversity of trees and shrubs in forestry. Tasks related to formation of a sectoral list of priority tree and shrub species of the Russian Federation and improvement of approaches to data collection, processing and use are defined. The proposed recommendations will help improve the information systems of Rosleskhoz and harmonize the submission of materials by the Russian Federation to the international information systems of the FAO and the UN.
Some Results of Poplars Testing in the Central Forest-Steppe
Authors: Царев А.П. , Царева Р.П. , Царев В.А. , Лаур Н.В.
Published: July 2024

Проанализированы результаты исследований некоторых полевых опытных объектов тополя, а также сформулированы предложения по их внедрению в практику. Изучено 3 секции настоящих тополей с раскидистой или полураскидистой кроной, произрастающих на популетуме Семилукского лесопитомника Воронежской обл.: черные, включая евро-американские гибриды, бальзамические и гибриды настоящих тополей. Полевые исследования позволили установить в каждой секции наиболее продуктивные растения к началу IV класса возраста (16 лет). Среди них в секции тополей черных выделен сорт ‘Регенерата’; в секции бальзамических – клон Populus trichocarpa Torr. et Gray № 83 и 84, а в группе гибридов настоящих тополей – гибрид ‘Э.с.-38’ (‘Воронежский Гигант’). Все эти генотипы могут быть рекомендованы для производства древесины, а мужской зимостойкий клон ‘Э.с.-38’ – и в озеленении, причем не только в зоне испытания, но и за ее пределами.

The purpose of this work is to analyze the results of some really created field experimental poplar objects and to make proposals for their use. Three sections of eupopulus poplars with a spreading or semi-spreading crown growing on a populetum in the Semiluky nursery of the Voronezh region were studied: black, including euramerican hybrids of black poplars, balsamic and their hybrids. Field research allowed us to identify the most productive plants in each section by the beginning of the 4th grade of age (16 years). Among them in the black section the variety ‘Regenerata’ is distinguished. In the balsamic section the clones of Populus trichocarpa Torr. et Gray № 83 and № 84 were best. Hybrid ‘E.s.-38’ (‘Voronezh Giant’) was best in the group of eupopulus hybrids. All these genotypes can be recommended for the production of wood. The male winter-hardy clone ‘E.s.-38’ was recommended for landscaping not only in the test area, but also outside it.
A 21st century-oriented model for the integration of foreign rule of law personnel and higher education in emerging technologies
Authors: Zhang Guoyuan
Published: July 2024

Foreign-related rule-of-law personnel are an indispensable strategic resource for maintaining and expanding national interests, participating in the change of the international governance system, and providing important legal support for promoting the construction of a community of human destiny. This paper begins by outlining the objectives and strategies of training the foreign rule of law talents, describing the specific qualities of these talents, and establishing a “three-inone” foreign rule of law talents training model that integrates emerging information technology. The online learning big data platform for foreign rule of law talents provides the learning behavior data, which we weigh, process, and combine with the SHAP interpretable model to extract the learning behavior features. We used SMOTE to process data sampling imbalances and established a model for predicting student learning performance in combination with the XGBoost model. Additionally, we designed a comparative teaching experiment to analyze the teaching effect using the talent cultivation model. The SMOTE-XGBoost-SBD model yielded a coefficient of determination of 0.487, demonstrated a strong correlation between the predicted and actual performance, and yielded a SHAP value of 1.492 for the knowledge point mastery (C) characteristics of the foreign rule of law students. At the end of the teaching experiment, the mean value of the student’s performance in class A was 10.29 points higher than that in class B, and the average value of the student’s performance in class B was 10.29 points higher. The teaching experiment resulted in a mean score of 10.29 points higher for students in class A than for students in class B. 74.5% 7 of the students agreed with the “Trinity” foreign rule of law talent cultivation model. Using emerging information technology can foster the overall development of foreign rule-oflaw talents by integrating domestic and foreign legal resources.
Experimental teaching design of weightlessness method to determine the corrosion rate of metal
Authors: Zhao Jianhua , Ke Yaobin , Liao Junjie , Guo Runjie
Published: July 2024

When exposed to corrosive environments, metals, which are relatively common industrial materials, undergo serious corrosion, leading to significant economic losses. Therefore, studying the corrosion rate of metals in their early stages holds great pedagogical significance. This study employs a standard specimen of 20# steel as an experimental object, designing the experimental teaching of metal corrosion rate under varying temperatures, PH levels, and hydrated salt materials. The weightlessness method determines the overall corrosion rate of the metal, while the electrochemical method determines the localized corrosion rate of the metal. When the experimental temperature is 80℃ and 100℃, the corrosion rate of 20# steel is the largest; both are 0.00800g·m−2·d−1, and the charge transfer resistance increases gradually when the temperature is −20℃~5℃, and decreases gradually when the temperature is 5℃~100℃. The corrosion rate of the metal did not change much at pH=7 and 8, and the corrosion rate reached 0.688 mm/a, and the impedance curve polarization resistance Rp was the smallest when pH=5, and its corrosion resistance was poor under acidic conditions. The average corrosion rates in MgSO4·7H2O, and CaCl2·6H2O and Ba(OH)2·8H2O were 0.0030g/m−2h−1, 0.0018g/m−2h−1, and 0.0050 g/m−2h−1, respectively. Teaching experiments were used to carry out the present study. The study aims to let students experience the process of metal corrosion through teaching experiments and better help them solve cognitive difficulties in metal corrosion.
Exploring the Guerrilla Warfare of the National Government Navy Behind Enemy Lines in the Yangtze River Basin during the War of Resistance Against Japanese Aggression
Authors: Zhao Qing
Published: July 2024

The guerrilla warfare behind enemy lines of the national government is still a weak link in the study of the history of the war of resistance, and the naval guerrilla warfare on the Yangtze River is even less specifically discussed. This paper first analyzes the change in the national government’s naval operational thinking after the July 7 Incident and up to the Battle of Wuhan and divides the naval operations in the Yangtze River Basin during the period of total war of resistance into four stages. Then, combined with the ontology theory and taking various archives, museums, libraries, and memorial halls as sources, after fusing heterogeneous data, it adopts the relevant writings, notes, diaries, speeches, photographs, objects of the Navy’s Yangtze River Resistance as well as the results of the archive compilation formed later to construct the Navy’s Yangtze River Resistance Archives Knowledge Graph Model. After the reasoning and searching of the knowledge map, it is concluded that in 1938 and 1940, the Yangtze River Bray Guerrilla Group killed 950 and 3020 enemies, respectively, destroyed 20,400 tons and 118,400 tons of warships, strongly supported the Battle of Wuhan and two Battles of Xiangbei, and prevented the Japanese army from invading to the west along the river, and in 1940, it destroyed the Japanese large-scale transports and merchant ships of a total of 58,700 tons, which dealt a heavy blow to the Japanese army on the Yangtze River and the Yangtze River. Heavy blows to the Japanese water transport capacity of the Yangtze River delayed its front and rear troops, weapons, supplies, and transportation plans so that its ability to expand received a major limitation, unable to continue the attack on the Yangtze River west of Wuhan, to defend the safety of Chongqing and Sichuan. This paper makes up for the research gaps in the history of the National Government’s naval resistance and the history of guerrilla battles in the Bray of the Yangtze River Basin and provides a useful exploration of the combination of resistance history research and information technology.
Application of Artificial Intelligence and Speech Data System based on Music Internet Course Learning System
Authors: Zhu Yijun
Published: July 2024

Music education, as an important part of art education, can also take advantage of artificial intelligence technology to achieve more efficient personalized teaching. The direction of the application of artificial intelligence technology in music course learning is explored in this paper. Therefore, a music data technology interactive learning system is proposed. The music recognition module’s design utilizes a deep neural network model to model the complex problem of speech signal recognition. The encoder formula is obtained by representing the implicit layer feature vectors in the sample through a mathematical model. After encoding and decoding, as well as designing the activation function, the HMM algorithm is introduced to realize the application of DNN-HMM in acoustic modeling. Using a digital filter, the spectrum of the speech signal is smoothed, and the spectrogram is obtained by Fourier variation to visualize the representation of the speech frequency domain. The design of a music Internet teaching course is based on the method proposed in this paper. The melody recognition accuracy of the system is tested through simulation experiments, in which the distribution of auditory feature points of the piano ranges from 0.66 to 0.69. The distribution of rock music is above 0.7, and there is no overlap between the two audio datasets, which indicates that the system proposed in this paper has good recognition accuracy of audio features. Using the speech analysis module, the students’ music learning performance is analyzed. After the model designed in this paper to assist music learning, students’ music performance mean value is 4.397, and the control group’s performance is 3.565. The difference is 0.832. The system designed in this paper is more effective for music learning.
Discussion on the use of traditional art colors in modern visual communication design
Authors: Lu Ying
Published: July 2024

In the face of people’s growing spiritual civilization needs, the application of traditional art colors in modern visual communication design has become a hot spot of attention. In this paper, a model for extracting traditional art color features is constructed to provide a methodology and theory for applying traditional art color in modern visual communication design. In the model construction, the max-min clustering algorithm is proposed to achieve color segmentation, measure the distance between the clustering center and the samples, and improve computing speed. Based on the K-means algorithm, the initial clustering center selection and the number of class clusters are improved, and the color feature extraction method is optimized to improve the accuracy of color extraction. In the performance experiments of the model, the All, Noncc, and Disc parameters of this paper’s color segmentation algorithm are lower than those of other algorithms in color segmentation of different pictures, and the performance is good. The accuracy of the color feature extraction test in different color spaces is close to 100%, the average verification accuracy is as high as 99.8%, and it takes less time. The aesthetic, originality, symbolism, and spirituality evaluation indexes of the poster work “Lead,” designed by combining the model of this paper, have an average score of more than 4, which reaches a good level.
Exploring the Teaching Mode of Secondary English Education Based on Big Data Technology
Authors: Song Chenran , Liang Yulong
Published: July 2024

With the rapid development of information technology represented by big data, all walks of life are facing the inevitable trend of transformation in the direction of informationization. English education teaching, as an important part of secondary education, naturally needs to utilize big data technology to carry out in-depth reform. This paper proposes a teaching model for secondary English education that is based on big data technology. For the teaching evaluation stage of this model, we created the DKVMN-FMF teaching effect assessment model, which incorporates the forgetting mechanism. By incorporating a dynamic key-value memory network, the assessment model can predict students’ answers’ accuracy, taking into account the forgetting phenomenon in the learning process. Through comparative experiments, this model’s AUC and accuracy are higher than other models on different data sets, indicating that the DKVMN-FMF model can accurately assess students’ learning effects. During the teaching experiment, the mean English score increased to 77.014 points after implementing the big data technology-based English teaching model, marking a significant difference from the pre-experiment mean score of 65.532. The paired samples test revealed a significant difference with a Sig value of 0.001, less than 0.05. The English teaching model that utilizes big data technology can enhance students’ English performance, as demonstrated.
The Integration Path of Network-Based Ideological and Political Education and Financial Aid-Based Education in the New Era
Authors: Song Xiaozhou
Published: July 2024

How to transform the financial aid work under the financial aid and human development system in colleges and universities from simply “providing financial aid” to primarily “focusing on education, with financial aid as a supplement” for truly achieving poverty alleviation, fostering intellectual growth, and supporting students in pursuing their aspirations, is an area of focus that has long been explored by student work teams in colleges and universities. This paper focuses on the development of a network platform in the new era and designs an integration path for the network ideology and financial support work to address the challenges of the financial support work in colleges and universities. An evaluation index system for the integration path was built with the fuzzy hierarchical analysis method. Based on this system, the coupling coordination degrees of network-based ideological and political education and financial aid-based education are calculated separately in each dimension to assess their synergistic effect. The comprehensive evaluation scores of network-based ideological and political education and financial aid-based education are above 90, indicating the high teaching effectiveness of both kinds of education. The coupling degree of network-based ideological and political education with financial aid-based education falls within the range of [0.912, 0.963], which is within the range of 0.8~1, demonstrating a high-level coupling effect. Additionally, the minimum and maximum values of the range for coupling coordination degree are 0.917 and 0.975, respectively, which both exceed 0.9, reaching a high level of coordination. These results indicate that network-based ideological and political education is well coupled with financial aid-based education, which validates the scientificity of the coordination path for network-based ideological and political education and financial aid-based education.
Practical Exploration on the Integration of Labor Education into the Teaching of Civics and Political Science Courses in Colleges and Universities in the Context of the New Era
Authors: Wang Fei
Published: July 2024

Based on the different meanings of labor education in different times, this paper re-examines the characteristics of labor education in the context of the era of socialism with Chinese characteristics. Then, based on the principles of unity of content and form, unity of theory and practice, unity of universality and particularity, and unity of indoctrination and inspiration, labor education is integrated into the teaching of Civics and Political Science courses in colleges and universities. The teaching mode of labor education integrated into the Civics and Politics class is designed from the perspective of students, taking into account the three aspects of the curriculum system, teaching method, and assessment and evaluation mechanism. The research subjects were selected, the initial data of the study were obtained through questionnaires, and the effect of the teaching mode was analyzed using the Pearson correlation coefficient and regression model. The results show that the Sig values of all three are less than 0.05, all three are correlated with the teaching effect of labor education integrated into the Civics class in colleges and universities, and the regression equation of the teaching effect = 1.495 + 0.365*curriculum + 0.354*teaching method + 0.228*evaluation mechanism. This study prompts schools to carry out labor education more reasonably and effectively, which has important educational value for cultivating socialist builders and successors with all-around development of morality, intelligence, physicality, aesthetics labor, and other aspects.
Research on Teaching Chinese as a Foreign Language in Colleges and Universities Based on Multimodal Theory: An Example from a Comprehensive Elementary Chinese Course
Authors: Wang Xiaolan
Published: July 2024

Today, with China’s increasing international influence, the number of international students coming to China is increasing, and the cause of Chinese language education for foreigners is booming. Taking the multimodal theory as the guiding principle, the article establishes an immersion teaching mode for Chinese as a foreign language by analyzing the characteristics of a comprehensive elementary Chinese language course. Sixteen students from the College of International Education of University T were selected as the research subjects, and the design of teaching methods and teaching processes based on the immersion teaching model, as well as the design of a comparative experiment on the teaching of the comprehensive elementary Chinese language class were carried out. The composite mean score of the Chinese post-test scores of the class based on the immersion teaching mode was 87.89, with an overall mean score increase of 22.39 points, and the students’ grammar test scores increased by a total of 4.02 times from the 1st week to the 16th week. The mean value of students’ satisfaction with the instructional design was 4.432 points, and 89.39% of international students expressed their approval of the immersion teaching mode. Taking the multimodal theory as a guide and combining the immersion teaching mode to realize the efficient interaction between teachers and students provides a new path to improve the dChinese language mastery and cross-cultural awareness of international students in China.
Path and Model Innovation of Social Work Driving Effective Rural Social Governance in the Internet Era
Authors: Ren Xinyue , Han Xiaofei
Published: July 2024

Effective governance of rural society is an important element of the national governance system, and social work, as an important element of village construction, is a useful supplement to the rural governance system. After studying the mechanism of social work-driven rural social governance, this paper uses social work and the effectiveness of rural social governance as explanatory variables. It then designs relevant questionnaire scales and collects data from sample villages. We measure the relationship between variables using mathematical and statistical methods like correlation analysis and the PLS-SEM model to investigate how social work drives effective rural social governance. The results of the study show that “participation capacity,” “performance expectations,” “role position consistency,” “village identity,” “village autonomy atmosphere,” “government support,” “participation behavior,” and “participation effect” all influenced social work to drive the effective governance of village society (P<0.05). It is possible to play the role of the core leadership of the basic party organization in the countryside, improve the villagers’ awareness of self-governance, improve the system of village self-governance, and play the role of the villagers as the basic force in village governance. It can cultivate a perfect three-governance integration of rural governance systems, improve the cultural quality of villagers, and further enhance the effective governance of rural society.
Research on the integration of university social practice and rural revitalization strategy in the era of Internet plus
Authors: Wang Fang
Published: July 2024

In this paper, we first constructed the social practice parenting path of rural revitalization in colleges and universities and formulated the integration strategy of social practice and rural revitalization in colleges and universities. Then, a ridge regression analysis model was constructed, and the parameters of the model were estimated. Then, based on the regression analysis model, the overall willingness of college students to participate in rural social practice was explored, and the factors affecting college students’ participation in rural social practice were analyzed in terms of rural pull, push, and individual factors. Finally, the evaluation system for the implementation effect of the rural revitalization strategy was constructed using the hierarchical analysis method, and people’s satisfaction with the implementation effect was analyzed. The mean score of college students’ willingness to serve the countryside is 3.33, and the strength of the local government’s publicity of employment policies and the perception of the status of rural work has a significant impact on students’ willingness to practice, with Sig values of 0.012 and 0.013, respectively. The overall effect of the implementation effect of the strategy is better, and the satisfaction degree is 3.105. This study analyzes the main influencing factors of college students’ participation in rural social practice, and provides an insightful and useful tool for contributing to the long-term participation in rural revitalization of college students’ volunteering. Long-term participation in rural revitalization provides corresponding ideas.
Teaching Reform Program of Integrated Practice Course for Automotive Majors Based on ADDIE Model
Authors: Wang Jing
Published: July 2024

The ADDIE model is highly compatible with teaching in terms of educational purposes, concepts, and processes and has a positive contribution to teaching. In this study, the ADDIE model is used to teach a comprehensive practice course for automobile majors in order to promote the systematic design and implementation of teaching. In this paper, the main problems to be solved are firstly extracted through the elemental analysis of the comprehensive practice course system of automobile majors, and the expected level of learning objectives to be achieved is pre-set. Then, a complete integration of educational media resources is carried out to test the effectiveness of the developed course instructional design. The fuzzy evaluation model is utilized to assess the quality of the course constructed by the ADDIE model. Specifically, the hierarchical analysis method is applied to calculate the index weights, and then the entropy weight method is used to correct the obtained index weights to obtain the final weights, determine the fuzzy operator, and make a comprehensive assessment of the teaching quality. It can be seen through the analysis that the method proposed in this paper makes the average final grade of the experimental class higher than that of the control class by 3.4524 points, and the final rating of teaching quality obtained by the method of this paper using the fuzzy comprehensive evaluation model is 3.7968 points, which is a good level. This indicates that the upgraded method of teaching practical courses is more effective than the original method, enhances the overall performance of students, and fulfills the requirements for teaching practice in automotive specialties.
Development of a Big Data Analysis and Management Decision Support System for Student Mental Health in Higher Education
Authors: Zheng Fenping
Published: July 2024

In recent years, the number of psychological problems occurring in college students has been increasing day by day, and timely, convenient, and accurate psychological warning is an important way to prevent college students from psychological crises. Starting from the basic needs of the system and aiming at realizing the embedding of data mining technology in the psychological management system, this paper elaborates on the design and implementation of the data mining technology module suitable for the psychological management system. The clustering algorithm-K mean algorithm of data mining is used to distinguish groups of students with different categories of psychological problems, which provides data support for the next decision-making. Through simulation experiments between the system designed in this paper and four other mental health management systems, the clustering performance and system evaluation performance of this paper’s system are better than those of the other systems. The result of mining the mental health of college students through this system shows that 82.2% of the student’s assessment results show normal, and 8.35% of the students need to focus on, and this result is not much different from that obtained from the statistical survey of a personality questionnaire, which indicates that the use of clustering analysis in the system can be an effective prediction of the mental health of college students.
The Utility of “Industry 4.0” for Economic Development and Industrial Structure Change in Germany
Authors: Yan Jie , Liu Qiannan
Published: July 2024

Germany’s “Industry 4.0” strategy is a technological revolution that accelerates full penetration into industrial fields such as manufacturing, mainly based on the Internet of Things and the rapidly developing new generation of Internet technology as a carrier. This paper examines the implementation of Germany’s “Industry 4.0” strategy, focusing on R&D expenditures, capacity utilization rates, and CNC rates of key processes in the manufacturing industry. It also lays the groundwork for Germany’s economic development and the effects of industrial restructuring. We construct a regression model to analyze the impact of “Industry 4.0” on the German economy, using economic growth as a measure of economic development. We use the automobile industry as a representative to study the industrial restructuring and upgrading of Germany under the “Industry 4.0” strategy. The results demonstrate a positive correlation between the estimated coefficients of economic growth variables in each year from 2020 to 2022 and the industry’s value-added, passing the significance test at the 0.05 level. In the industrial restructuring, Germany’s automobile industry has realized the transformation from traditional manufacturing mode to intelligent manufacturing mode, and the 1387.2 billion euros of Volkswagen’s R&D investment also shows that Germany is still pursuing the technological upgrading of the industry.
Research on Personalized English Language Learning Based on Artificial Intelligence
Authors: Yang Kunlun
Published: July 2024

Although AI technology has been widely utilized in many fields and has reaped good reviews. However, there is a vacancy in the education field for AI technology to achieve personalized recommendations for the English language. In this paper, based on the traditional cognitive diagnostic model, we propose optimizing two aspects, namely question type and mastery state. Combining the neighborhood recommendation algorithm, the English learning recommendation model is constructed using fuzzy cognitive diagnosis. Based on the theory of adaptive learning, we have designed a personalized bank of recommended English learning questions. The model is utilized in the real world of English learning, and a control experiment is designed to evaluate the student’s knowledge mastery and the impact of the model application. The experiment shows that student A has a better mastery of S1 and S3, with mastery levels of 0.856 and 0.815, respectively, but only 0.235 for S4, and needs to customize a more targeted personalized learning plan and strategy for S4-related content. The average scores of D1 and D2 before practice were 73.51 and 72.18, and after practicing through the personalized recommending English learning methods proposed in this paper, the English score of the D2 class was improved to 85.33, and the t-test result between the two groups was significant p-value of 0.002, which is less than 0.01, indicating that there is a significant difference between the two groups and that the model proposed in this paper has a significant enhancement on English learning.
Analysis of Teaching Capacity Building of College Teachers’ Innovation and Entrepreneurship Education under Comprehensive Multiple Fuzzy Evaluation System
Authors: Zhao Ruochen , Xiang Xiaomi , Deng Qiqi , Zhao Ruoxiu
Published: July 2024

How can we effectively promote and improve the quality of innovation and entrepreneurship education in colleges and universities? The key lies in enhancing the capacity of teachers to impart innovative entrepreneurial education. The article takes the requirements of innovation and entrepreneurship education and the connotation of teaching ability as the orientation and establishes the evaluation index system of dual innovation education teaching ability of college teachers by combining the CIPP model. The IAHP method and the improved CRITIC method, respectively, calculate the subjective and objective weights of each index in the index system, and then they introduce the game theory idea to amalgamate and assign weights to the index system Based on the gray fuzzy mathematical theory, a fuzzy comprehensive evaluation model of the teaching ability of innovation and entrepreneurship education among college teachers was established. Using University Y as the research object, data analysis was carried out to determine the differences between teachers’ dual entrepreneurship teaching abilities, comprehensive evaluation, and the application effectiveness of the evaluation system. The maximum mean value for teachers’ innovative entrepreneurship education teaching ability is 4,085, and the minimum skewness coefficient is only −0.475, suggesting a trend towards correct skewness. Teachers’ mastery of dual-creation theory is proportionately weighted at 25.52%, and the fuzzy comprehensive evaluation score is 81.97, which is a good grade. The evaluation index system, combined with the fuzzy comprehensive evaluation model, can help college teachers clarify the problems of dual-creation education, which is conducive to improving their dual-creation teaching ability.
Integration Strategies of Sports Culture in Ethnic Areas and Volleyball Teaching in Colleges and Universities
Authors: Zhong Yuan
Published: July 2024

The integration of ethnic area sports culture and college sports teaching in the multicultural environment is the inevitable development of education and teaching in the new era. This paper combines the analysis of the impact of the school sports curriculum in a multicultural environment and the form of development of sports culture, combines the sports culture of ethnic areas with college volleyball teaching in order to promote the implementation of sports ideological and political education in colleges and universities and to realize the development of differences and unity in the context of multivariate evaluation of college volleyball teaching. Combine the objectives of college volleyball teaching with the national sports culture to construct the volleyball course content system. Propose methods for training teachers, create a knowledge map of college volleyball teaching materials, and use the enhanced TF-IDF algorithm to extract keywords and increase volleyball teaching resource allocation. Statistics of volleyball teaching in colleges and universities integrating national sports culture, analyzing the influence of learning atmosphere*teaching level, learning atmosphere*attention on the cultivation of national sports culture. Combine the improvement of volleyball skills, physical quality, and independent learning ability before and after teaching to analyze the advantages of college volleyball teaching that integrates ethnic sports culture. The overall mean value of “the current situation of volleyball teaching integrating ethnic sports culture” is 8.97, which is at a good level. In the three dimensions of learning motivation, learning process, and learning outcome, the P-value of the experimental class and the control class is less than or equal to 0.05, which indicates that the students in the experimental class are better than the students in the control class in the three dimensions of independent learning ability in sports. Volleyball teaching that integrates the sports culture of ethnic regions has the beneficial effect of promoting the development of sports culture as well as enhancing the development of students’ volleyball skills.
The Realistic Dilemmas and Possible Paths of Artificial Intelligence Enabling Teacher Education
Authors: Zhou Qin
Published: July 2024

This paper explains the dilemma of artificial intelligence in relation to the development of teacher education based on the functional structure of artificial intelligence and the activity characteristics of teacher education. Then, after designing a survey questionnaire on the factors affecting the development of teacher education empowered by artificial intelligence and completing the reliability test, the paper collects initial data in the form of distributing questionnaires and analyzes in detail the least squares estimation of mean, variance, standard deviation, correlation coefficient, and regression coefficient needed in the process of analyzing the data to carry out the analysis of instances. The correlation coefficients of teacher training, professional development, policy support, resource allocation, teacher literacy, educational information technology behaviors, and AI-enabled teacher education development are 0.674 (0.003), 0.496 (0.001), 0.259 (0.009), 0.371 (0.008), 0.639 (0.004), and 0.325 (0.007). Their corresponding regression coefficients were 0.616 (t=59.852, P=0.003), 0.021 (t=0.018, P=0.007), 0.078 (t=5.668, P=0.005), 0.032 (t=3.282, P=0.009), 0.239 (t=29.734, P=0.008), 0.137 (t=5.406, P=0.001), indicating that these factors have a significant impact relationship on AI-enabled teacher education.
Application of Artificial Intelligence in Computer Neural Network Algorithm Technology in the Age of Big Data
Authors: Zhou Sheng
Published: July 2024

The arrival of the big data era makes the amount of data explosive growth, which puts forward new challenges and demands for computer network technology, and the integration of big data and network technology has become an important trend. This paper uses the optimization strategy and the elimination mechanism of the genetic algorithm to optimize the inertia weight and particle position speed updating mechanism of the particle swarm algorithm and combines the searching method of the Tennessee whisker algorithm with the sharing mechanism of the particle swarm algorithm to achieve the optimal data searching ability. Finally, the improved artificial intelligence algorithm and MapReduce are combined to improve the performance of the computer neural network algorithm in big data processing. The average data redundancy rate of this paper’s algorithm for big data processing is only 1.18%, and the resource integration checking rate always exceeds 85%, according to simulation experiments. In addition, the algorithm also shows good performance in practical applications, and it can achieve accurate classification of big data labels in big data label classification tasks while maintaining a low energy overhead. Meanwhile, it can accurately recognize electronic medical record data in large medical databases. Big data processing can benefit greatly from the proposed neural network algorithm in this paper.
Internal Logic, Path System and Practical Strategies of “Meteorology + Tourism” Integration and Empowerment
Authors: Huang Ping , Shi Peihua , An Junxiu , Qiao Shaojie , Jin Liya
Published: July 2024

Meteorological resources are not only fundamental but also strategic tourism resources, which are the important foundation for the integrated development of meteorology and tourism. With the intensification of global climate change, the urgent need for healthy tourism in China’s mass tourism market after the epidemic, and the rapid development of meteorological science and technology, the natural and inseparable relationship between meteorology and tourism activities and tourism economy has become more and more prominent, and “meteorology+tourism” has become a new field that is the most active and most directly perceivable by the people in the utilization of meteorological resources and innovation of meteorological services. Meteorology + Tourism” is becoming the most active and directly perceivable new field in the utilization of meteorological resources and innovation of meteorological services, and the fastest-growing and most energetic new development direction of the tourism economy in various places. Research shows that promoting “meteorology + tourism” can drive the positive coupling of the two; the deep integration and two-way empowerment of meteorology and tourism in “all-round, all-time, all-process, all-factor, all-field” is not only related to the high-quality development of tourism and meteorology but also related to the quality of tourism experience and life safety of tourists. Tourism experience quality and life safety, opportunities, and crises are surging; through seven major integration paths, “meteorology + tourism” can give rise to trillion yuan scale emerging industry clusters and should become the new focus of China’s meteorological services and tourism industry and economy synergistic and breakthroughs.
The Impact of Fiscal Support for Agriculture on the Revitalization of Rural Industries - A Case from China
Authors: Ge Linling , Kongruang Chuleerat
Published: July 2024

The low economic but high social benefits of rural industries necessitate increased fiscal investment for their development. This study looks at how fiscal support for agriculture affects the level of revitalization of rural industries. It does this by using panel data from 30 provinces from 2003 to 2021 and fixed effects, fixed effects instrumental variable models, and spatial econometric models. The study’s findings are outlined below: First, overall, fiscal support for agriculture has a positive effect on the revitalization of rural industries in China. Particularly since the Chinese government proposed the Rural Revitalization Strategy in 2017, this effect has strengthened. However, structurally, the impact is greater on the integration of agriculture > the quality of agriculture > the efficiency of agriculture > the technologization of agriculture. Second, the impact of fiscal support for agriculture varies across different regions. Fiscal investment in agriculture significantly promotes the revitalization of rural industries in major grain-producing areas, has no significant effect in major grain-selling areas, and has almost no effect in areas where production and sales are balanced. Third, fiscal support for agriculture exhibits spatial aggregation effects. However, this effect has diminished since 2012, when the Chinese government vigorously promoted industrial restructuring and accelerated the shift from labor-intensive to technology, capital, and knowledge-intensive industries. Fourth, local fiscal investment in agriculture has a stronger economic effect at the local level while reducing the agricultural production efficiency of surrounding areas. Therefore, it is necessary to adjust the structure of fiscal expenditures, adopt differentiated fiscal support policies, adjust expenditure structures, and innovate and optimize policy tools and funding methods for fiscal support of rural revitalization.