bluuebunny/crossref_metadata_2025 huggingface dataset:
The Wave of Broad-Spectrum Crises in the EU Over the Last Decade: The Effect of Chaos or the Arrival of the Black Swan? The Impact of Crises on Integration Dynamics
Authors: Kučerová Irah
Published: May 2024

Since the beginning of the 21st century, the European Union has been undergoing a wave of broad-based crises. The Eurozone crisis, the effects of which are still being felt by the EU economy and the integration process as a whole, the subsequent so-called migration crisis with its impact on the integration dynamic, the British referendum on Brexit, and the pandemic crisis, which may change the integration slowdown. Open war conflict in Europe connected with Russian aggression towards Ukraine. Does this development correspond to the concept of chaos or is it the arrival of the black swan? What security challenges have these crises brought? Narrative comparison of the sensitivity of EU ´s states as a chosen methodology targeting to internal system structure of the EU. Macroeconomic vulnerability, geo-economic vulnerability, polarisation of the EU member states, a decline in the Union unity and a return to national interests. But also, a rethinking of self-sufficiency in strategic zones and questions of strategic autonomy in critical infrastructure.
Strategi Humas Polresta Depok dalam Melayani Masyarakat Melalui Aplikasi Halo Polisi
Authors: Meliala Robbikal Muntaha , Yanah Yuli
Published: May 2024

Humas perusahaan atau instansi dapat menggunakan media digital untuk mencapai tujuan organisasi. Media digital mempermudah dan mempercepat interaksi perusahaan atau instansi dengan para stakeholdernya. Polresta Depok membuat aplikasi Halo Polisi. Aplikasi tersebut dapat diunduh dari Google Playstore. Dengan aplikasi Halo Polisi, warga dapat berinteraksi dengan anggota Kepolisian hanya dengan menggunakan smartphone. Penulis melakukan penelitian di Polresta Depok dengan menggunakan metode penelitian kualitatif deskriptif, yang datanya dikumpulkan melalui observasi, wawancara, kepustakaan dan dokumentasi. Kesimpulan dari penelitian ini yaitu Polresta Depok berhasil melayani masyarakat melalui aplikasi Halo Polisi, hal itu dapat dibuktikan dari adanya warga yang mengunduh aplikasi Halo Polisi dari tahun 2017 dan hingga saat ini masih menyimpan aplikasi tersebut di smartphone mereka. Tetapi strategi dan taktik yang digunakan Polresta Depok dalam melayani masyarakat belum menjangkau target khalayak secara keseluruhan, dan media sosial yang digunakan belum dimanfaatkan secara maksimal.
THE EFFECTIVENESS OF THE THINK TALK WRITE (TTW) LEARNING MODEL ON STUDENTS’ SCIENTIFIC COMMUNICATION SKILLS ON ECOSYSTEMS
Authors: Pranoto Hendro
Published: May 2024

Learning model plays a crucial role in improving students' communication skills. This research aims to determine the level of effectiveness of the Think Talk Write learning model on students' scientific communication skills on ecosystem material in class X MAS Al-Wardah. This type of research is descriptive research using a one group pretest-posttest design. The data collected in this research is attitude data on scientific communication skills and written scientific communication skills which are constructed based on six indicators of scientific communication skills. Attitude data on scientific communication skills were collected using the observation method and data on students' written scientific communication skills were collected using the test method. The research results showed that students' scientific communication skills attitudes increased with a gain factor of 0.31 in the medium category and also students' scientific communication skills in writing with an average gain of 0.4 in the medium category. Based on these results, it can be concluded that the Think Talk Write learning model is still less effective in improving students' scientific communication skills.
Formation of Investment Policy Methodology in the Social Strategy of Flax and Economic Development of Regions
Authors:   Pacific National University, Frolova Natalya S.
Published: May 2024

This article examines the application of scientific methodological approaches to the study of investment policy in the strategy of socio-economic development of regions: aspectual, conceptual, systemic, teleological, institutional, as well as economic growth. Analysis of the stated topic from the perspective of methodological approaches makes it possible to study the problems of the issue from various sides, identify problem areas, and formulate conceptual provisions of scientific research. In the process of applying a systematic approach, it is impossible to consider investment policy without taking it into account at the macro level. It is also necessary to work out the issue from the standpoint of the conceptual apparatus for the correct interpretation of future research results. It is worth noting that the study of investment policy as a factor in regional economic growth allows for the formulation of an identical methodological approach. Without an institutional methodological approach, the exploration of the issues outlined in this article is also impossible. The main conclusion is the importance of using the complexity of the applied scientific methodological approaches in the ongoing research. This comprehensive approach facilitates the identification of key challenges, formulation of strategic recommendations, and enhancement of policy effectiveness in achieving desired development outcomes.
Methodology for Assessing the State of the Geo-Economic Component of the Russian Federation’s Economic Sovereignty
Authors:   Institute of Economics of the Ural Branch of the Russian Academy of Sciences, Chichilimov Sergei V.
Published: May 2024

The assessment of economic sovereignty in the context of modern geopolitical challenges is essential for understanding the dynamics of international relations. Sanctions have become the primary tool of coercion against competitors within the framework of the established policy of neo-protectionism in the XX–XXI centuries. In the face of escalating sanction pressure on the Russian Federation in 2022–2023, studying international experience in counter-sanction policies becomes relevant. This study examines the main vectors for enhancing the resistance of the economic system in the practices of Iran, the People’s Republic of China, the Democratic People’s Republic of Korea, and the Republic of South Africa. A possible way to counteract sanctions pressure is to initiate a policy aimed at increasing the country’s economic resilience. The author’s methodology for assessing the state of the three political economic sovereignties of the Russian Federation is proposed. The methodology is applied in the article to the example of the geo-economic component over the period of 2015–2021. It is demonstrated that the initial resistance for the geo-economic component of economic sovereignty has not been achieved. Moreover, specific directions for increasing the level of sustainability in the context of the geo-economic component are proposed. By adapting lessons from international experiences, the Russian Federation can strengthen its economic sovereignty and navigate global challenges more effectively.
Main Approaches in Information Support of Projects for Obtaining State Support by Non-Primary Sector Companies
Authors:   Russian State University of Social Technologies, Ageichev Artem I.
Published: May 2024

The relevance of the chosen topic is justified by the need to research and develop measures aimed at reducing the negative impact of the unpredictable environment of the Russian economy in the face of overcoming economic sanctions. One of such measures of state support could be an information system for participants in foreign economic activity, taking into account the main approaches in information support of projects funded from the federal budget. The development of the system is based on marketing research of participants in foreign economic activity. As part of the development of measures of state support, market research includes expert assessment, methods of comparison and grouping, index method, and matrix algebra, i.e., it is based on methods of comprehensive analysis of economic activities. The tools under consideration allow forecasting practical results of project evaluation and analysis receiving state support. In conclusion, by integrating theoretical insights with practical methodologies, stakeholders can navigate complex economic environments and capitalize on emerging opportunities. Moving forward, continued research and innovation in information support systems will be essential for promoting sustainable development and resilience in the face of economic challenges.
IPO Anomalies: Impact on the Efficiency of Initial Public Offerings
Authors:   Financial University under the Government of the Russian Federation, Makhmud Yunes Kh.
Published: May 2024

The article explores the significant role of anomalies in the market for initial public offerings (IPOs), affecting both short-term and long-term stock outcomes upon entering the public market. It addresses the overarching issue faced by investors regarding the low efficiency of IPOs, characterized by a decline in securities’ value immediately after public listing. The article examines various anomalies and factors affecting IPO outcomes and discusses strategies for successful risk management and achieving desired investment results. It highlights the importance of considering underexplored aspects such as financial reporting distortions, information asymmetry, and insider manipulations, which are often encountered in IPOs but rarely studied in depth. This investigation into IPO anomalies aims to provide investors and companies with insights for making more informed decisions during IPOs and adapting their strategies according to market conditions, thereby contributing to a broader understanding of factors affecting IPO profitability. By recognizing and addressing these factors, investors and companies can better navigate the IPO process and achieve more favorable outcomes. Further research is needed to delve deeper into the complexities of IPO anomalies and their implications for market efficiency.
Porto Maravilha e sua nova centralidade: as contribuições do mobiliário urbano e da arte pública para a ressignificação da área | Porto Maravilha and its new core significance: contributionsof urban furniture and public rte to the resignification of the area
Authors: Colchete Filho Antonio Ferreira , Costa Lucia Sá Antunes , Giese Juliana Varejão , Jesus Karine Dias de , Costa Fernando Araújo
Published: May 2024

Desde os Jogos Olímpicos de 2016, a zona portuária do Rio de Janeiro (Brasil) assumiu o papel de uma nova centralidade na dinâmica urbana da cidade, ressaltada pelo uso turístico promovido pelo projeto de requalificação urbana pelo qual a região passou. O objetivo deste artigo é analisar o papel que a arte pública e o mobiliário urbano exerceram nas transformações realizadas nos espaços públicos contemplados pelo Projeto Porto Maravilha através de revisão de literatura, análise de documentos oficiais do projeto e visitas a campo. Verificou-se que a intervençãourbana se pautou em novas conexões de pedestres estabelecidas por entre o passeio público reformado, novos marcos arquitetônicos e nova rede de infraestruturaque, em conjunto, criaram conexões físicas e simbólicas do indivíduo com o espaço urbano, promovendo a (re)construção da identidade da região e, portanto, seu poder de centralidade.
The Research Lineage and Knowledge Distillation of the Whole Process “Immersion” Curriculum Civic Teaching
Authors: Mao Yanhui
Published: May 2024

This research investigates the application of immersive teaching in Civics, enhanced by knowledge distillation techniques. We employed feature distillation and sample-balanced distillation algorithms to refine both the teacher and student networks, ensuring effective content delivery and deeper knowledge acquisition. Experimental results demonstrate that the student networks, optimized with distillation and identification loss, significantly outperform their unoptimized counterparts in feature retention. Furthermore, the integration of IDA data enhancement and kvDKD decoupled knowledge distillation methods substantially boosts the model’s efficiency and accuracy. Our teaching experiments revealed heightened student engagement and learning outcomes in Civics, with all students covering 8 of 12 topics and an average of 27 students scoring above 95 per topic. A comparative analysis with a control group confirms the efficacy of immersive teaching approaches in improving student performance and the quality of Civics education.
Research on Ecological Innovation and Modern Informatization Inheritance Path of Tantou Woodblock Printing
Authors: Peng Bo
Published: May 2024

Tantou woodblock prints are traditional Chinese woodblock prints with a long history. Adding modern information technology elements to the excellent traditional culture can better combine regional contemporary woodblock prints and realize the cultural heritage. In this paper, from the perspective of modern informatization inheritance, we propose a way of displaying Tantou woodblock prints with AR enhancement technology, which breaks the limitation of physical experience with the help of virtual technology and improves the immersive experience of Tantou woodblock prints by combining with visual SLAM spatial localization technology. Based on the KANO model, the inheritance effect of Tantou woodblock prints was empirically analyzed. The data of Q, A, I, R, M, and O of the satisfaction results of the experience effect of Tantou woodblock prints were 1.132, 3.034, 2.828, 1.422, 1.237, and 0.978, which belonged to the excitatory type of demand. The inheritance satisfaction could be improved by enhancing the natural experience effect. The percentage of experiencers’ satisfaction with the information acquisition rate of Tantou Wooden Plank New Year’s Paintings that reaches excellent and above is 82.35%, and this paper effectively captures the user’s experience point in the visual, which contributes to the inheritance of Tantou Wooden Plank New Year’s Paintings.
Characterization of College Students’ Consumption Behavior for Ideological and Political Education - Based on ADDIE Model
Authors: Wang Rurong
Published: May 2024

As a specific social group, the consumption behavior of college students not only reflects their economic ability but also contains deep-seated values and attitudes toward life. With the development of the social economy and the change in consumption concepts, the consumption patterns and psychology of college students have diversified. This paper deeply analyzes the characteristics of college students’ consumption behavior and the value of their ideological and political education. It also adopts the ADDIE model to systematically study college students’ consumption behavior. The improved K-means clustering algorithm allows us to classify the consumption behavior of 29,635 students and analyze their changing trends by collecting consumption data. The average monthly consumption of most students is approximately 800 to 1000 yuan, and the frequency of consumption is mainly 60-75 times per month. Students with different consumption levels have different needs and responses when it comes to ideological and political education. The paper proposes targeted strategies for ideological and political education to guide students in establishing correct consumption concepts and cultivating rational consumption behavior. The study effectively enhances the research on college students’ consumption behavior and the practical effect of ideological and political education through the application of the ADDIE model, providing support for the overall development of college students.
Research on the application of water measuring technology in water-saving irrigation
Authors: Yu Jia
Published: May 2024

The rise of agricultural Internet of Things (IoT) technologies is transforming traditional farming into modern, sustainable agriculture through scientific advancements. This study introduces a novel fusion calibration algorithm that combines the least squares method and back propagation neural networks to enhance water measurement accuracy in agricultural settings. By developing a nonlinear function, the algorithm progressively minimizes the discrepancies between detected results and actual data until satisfactory accuracy is achieved. An irrigation experiment on wolfberry plants in City H utilizing this optimized technology demonstrated a near-perfect correlation between the automatic measurements (3.56 m/s) and the actual flow rates (3.55 m/s) recorded by a flow meter, with an error margin of just 0.282%. Furthermore, the study observed a steady increase in the water utilization coefficient in farmland irrigation from 0.54 in 2011 to 0.589 in 2020, indicating enhanced water efficiency and conservation.
An Active Damping Method With Improved Capacitor Current Feedback
Authors: Ma Youjie , Hao Zeyu , Zhou Xuesong
Published: May 2024

Capacitor-Current Feedback Active Damping (CCFAD) is widely employed in LCL grid-tied inverters. However, the delay introduced by digital control can alter the traditional active damping characteristics, with the equivalent virtual resistance having a positive/negative crossover frequency of f
s/6. The LCL filter’s resonant frequency may change due to the extensive variation in grid impedance under weak grid conditions. When the resonant frequency of the LCL filter exceeds f
s/6, the stability of the system is severely compromised. A better approach is to add a lead compensation element to the current feedback branch of traditional CCFAD in response to these issues. This compensates for the phase lag caused by control delay, effectively extending the active damping region to (0, f
R), f
R ∈ (f
s/3, f
s/2), thereby enhancing system stability and robustness. The proposed method’s effectiveness has been confirmed by theoretical analysis and simulation on the MATLAB/Simulink platform, which utilizes a single-phase LCL grid-tied inverter model.
Industry-Academia Collaboration in the Field of Functional Nucleic Acids: An Analysis Based on Papers and Patents
Authors: Lu Changyun , Zhu Longjiao , Su Yuan , Xu Wentao , He Xiaoyun , Cao Yuan
Published: May 2024

This investigation delves into the evolving patterns and regional variances in industry-academia collaboration (IAC) within Functional Nucleic Acids (FNAs) research. Analyzing publications and patents from 1990 to 2021, we dissected IAC at individual and collective levels, documenting the count and share of IAC endeavors, key partners, and regional differences. Results indicate a rising trend in IAC publications and collaborating institutions, while patent trends display a mix of increases, decreases, and steady states. The United States leads in IAC activities, correlating with its prowess in scientific research and technological innovation. Notably, regional discrepancies in IAC are mainly due to intra-regional variations, with Asia and Europe experiencing the most pronounced disparities.
Research on the Technique of Determining the Internal Structure of Ancient Stone Pagodas Based on the Discriminant Features of Ground Penetrating Radar
Authors: Zhang Yumiao , Xu Bo , Qian Chen , Wang Jintao , Yang Yulong
Published: May 2024

Obtaining detailed information about the design and construction of ancient stone pagodas is challenging due to their significant age. Due to this, the internal structure is still unknown, and the analysis of their structural safety lacks a solid foundation. The purpose of this paper is to research ancient stone pagodas and propose adequate methods for identifying their internal structure and assessing their damage status using ground-penetrating radar nondestructive detection technology. The internal structure of the pagoda is inferred through a comprehensive process of layer-by-layer scanning using shielded antennas of varying frequencies, incorporating distance correction. The results demonstrate that by selecting suitable radar antenna frequencies, both test profiles become visible, and the position and characteristics of the internal substantial reflection area exhibit a high degree of consistency, mutually reinforcing each other. The White Pagoda in Hangzhou is believed to have both a mortise and tenon joint structure and a column structure. The ground penetrating radar detection method proves to be effective and has valuable applications.
A Study of IKH Algorithm for Civic Education Strategies of Graduate Medical Students in Information Age
Authors: Xin Lin , He Ruhua , Chen Mengge , Xu Ming , Hao Hongliang
Published: May 2024

In this paper, we use the krill swarm optimization algorithm to optimize the optimization-seeking ability of the projection-seeking analysis model and construct the IKH-PP model. Evaluation indexes of ideological and political education strategies are built from seven dimensions, such as moral quality and political performance, and the index values are standardized using the extreme value normalization method. Create and enhance the projection indicator function, sort based on the projection value size, and determine the advantages and disadvantages of various samples. Taking psychology as the perspective, efforts were made to explore a collaborative educational path for psychological counseling and ideological education for medical students using the psychological perspective. The results showed that 50% of the 600 medical students at University Z chose “realization of ideal pursuit,” and they were generally more positive and progressive. However, only 48 of them expressed that they were very concerned about current affairs and that their political awareness still needed to be improved. Before and after the collaborative psychological counseling and political education interventions, there were statistically significant differences between Group I and Group II in the G3/F3 dimension (P=0.047, 0.008) and the G11/F11 dimension (P=0.022, 0.034), which were statistically significant or not. There were statistically significant differences in the overall access to Civics and all dimensions of Civics among medical students of different genders (P<0.05), grades (P<0.001), and political profiles (P<0.05) students.
Exploring the Development Path of Collaborative Education between College Civics Courses and Daily Civics Education Combined with the Theory of Three-Whole Parenting
Authors: Shi Aixin , Ma Xiaoyan
Published: May 2024

As times evolve, ideological and political education in higher education has emerged as a central focus of reforms in this field, marking the synergistic development of these programs as an inevitable trend. This paper addresses the reform requirements of ideological and political education in the contemporary era. It proposes a development path for integrating Civic and Political Programs with ideological and political education in higher education institutions, based on the ‘three-whole-parenting’ theory. Additionally, we construct a comprehensive evaluation system using fuzzy comprehensive evaluation methods to assess the effectiveness of this integrative approach. The systems designed achieved an average response time below 1800ms, indicating strong performance. Student satisfaction with the synergistic path ranges from 4 to 5 points, with an average attitude score of 3.04 and a comprehensive evaluation score for quality of 4.53. This paper demonstrates that the development path for college Civics courses, based on the three-whole-person parenting theory, is effective, ensuring scientifically planned and comprehensively implemented synergistic education.
Feature Identification and Pedagogical Innovation of English Speaking Teaching in Colleges and Universities Based on Deep Coding Attention
Authors: Chen Weimiao
Published: May 2024

At present, most students in colleges and universities still have different degrees of difficulty in English oral expression. This study tries to apply deep coding attention to the teaching of spoken English in colleges and universities, taking into account the characteristics of tight time, long cycles, and challenging training in spoken English teaching. By proposing the CIASC-BiLSTM model that integrates the deep coding attention mechanism using a cross-fertilization layer, the attention mechanisms of intention recognition and semantic slot filling introduce explicit associative supplementary information to each other. The ASPAN dual attention mechanism model is employed to learn adversarial training from two public benchmark corpora. To verify the effectiveness of the innovative teaching model of spoken English in colleges and universities based on deep encoding attention, this paper explores the changes in students’ spoken English proficiency through teaching experiments. The results show that the significant difference value between the experimental class and the control class in the posttest of speaking performance is 0.026<0.05, and the experimental class has a substantial improvement over the control class. The results of the pre and post-test t-tests of speaking ability in each dimension of the experimental class are less than 0.05, and the innovative teaching of speaking based on deep coding attention has achieved good results.
Exploration and Improvement of Structural Imbalance Factors of Extramural Sports Competitions for Elementary and Middle School Students Based on Principal Component Analysis Methods
Authors: Du Fang , Shu Shengfang
Published: May 2024

With the continuous development of China’s sports competition business, the problem of structural imbalance in China’s sports competition has gradually appeared from the bottom. Starting from the extracurricular sports competitions of primary and secondary school students, this paper makes a preliminary sorting out of the structural problems of primary and secondary school students’ sports competitions. It puts forward a system reform method for the structural imbalance problem of sports competitions. In addition, the study randomly selects the teacher-student system of primary and secondary schools in District M as a research sample. It combines the principal component analysis model and the factor analysis model to conduct a more in-depth study of the factors affecting the structural imbalance of sports competitions. Among them, the cumulative explanatory rate of five factors, namely, policy support, environmental factors, sports industry, economic inputs, and competition activities, is 100%. The correlation coefficient values between the five factors are 0.632, 0.542, 0.371, and 0.675, respectively, with significant correlation. 7.3-15.5 points improve the scores of the indicators of the improved structure compared with those of the pre-improved structure. The structural imbalance problem was effectively resolved through system improvement in this study, resulting in a more sound and perfect sports competition system for primary and secondary school students.
Supply Side Reform of Tourism in Ethnic Areas Empowers Common Wealth--Based on the Perspective of Tourism Human Resources
Authors: Hu Xueqin
Published: May 2024

As part of the supply-side reform, tourism in ethnic areas is increasingly recognized as crucial for achieving shared prosperity. This paper introduces a model from the perspective of tourism human resources designed to predict the demand for such resources. The model aims to inform strategies that support supply-side reforms in tourism for ethnic areas. The GM(1,1) model is constructed with the gray algorithm model, and on the basis of the gray algorithm model, the gray prediction method is effectively combined with the BP neural network prediction method, and the prediction preferences are made according to the variance as well as the prediction method idea of the preferred combination, and the final prediction results are obtained. In the analysis of the tourism human resources profile and demand forecast in Xinjiang, the total number of tourism employment in 2022 accounts for 17.22% of the total number of jobs, and the total number of tourism students in school reaches 6,189. Only 11.66% of tourism human resources are highly educated talents with a bachelor’s degree or above, and the number of personnel with senior titles is only 8.42%, which is obviously low in high-education and high-level talents. Nearly 80% of the personnel in non-tourism-related categories are still there, and the specialization of tourism management personnel is low. The demand for tourism human resources in Xinjiang in 2027 is expected to reach 2.1179 million.
Effective paths and model innovations for social work-driven child protection in the context of the Internet
Authors: Li Xue , Yang Panpan
Published: May 2024

Children are the hope and future of the country, and doing an excellent job for children is of great importance to social development. Social work program efficiency assessment, can help service providers and program implementers understand the effectiveness of program implementation. For this reason, this study uses data envelopment analysis and the Tobit regression model to construct a child protection social work program efficiency assessment model. The input-output indicators of child protection program efficiency are selected. The model is used to analyze the input-output efficiency of social work child protection programs in City H from 2018-2021 as an example. The variables that affect the efficiency of child protection programs are explored in depth to explore the effective ways of child protection. The results show that the comprehensive technical efficiency, pure technical efficiency, and scale efficiency of the child protection program in 2018-2021 are all less than 1 and have not reached DEA efficiency. The comprehensive technical efficiency of the program is significantly affected by the scale efficiency, which necessitates an increase in resource investment in the child protection program. In addition, the six selected influencing factors are significant, at least at the 10% level, all of which positively affect the efficiency of child protection programs and need to be focused on to better improve the efficiency of social work services.
Artificial Intelligence Technology Helps Inform the Sports Industry
Authors: Shen Lin , Lyu Chen , Li Mingming
Published: May 2024

The continuous development and improvement of information technology and the arrival of the knowledge economy have injected new vitality into the development of the sports industry. In the context of artificial intelligence, this paper constructs a graph convolutional neural network model. It applies it to the field of sports teaching, creating an adjacency matrix based on image information to optimize the information processing speed of the neural network model. The standardized way is used to recognize and guide the various sports movements performed by students in the classroom. Through effectiveness analysis and FMS experiments, it was found that the graph convolutional neural network has a high recognition rate, and the matching rate for each section of the movement is above 70%. The mean values of angle features of students with very different body sizes remained at the same level with minimal differences under the same shooting angle. From the perspective of students’ sports performance, in the fourth week of the middle and late experimental period, the results of the experimental group and the control group students were 82.39±2.10 and 73.64±3.62, respectively, which was a difference of nearly 10 points. The results of the control group students had already lagged behind the experimental group students substantially from the perspective of the score, and the difference was significant at P=0.000<0.05. The convolutional neural network can effectively improve sports movement standardization, which in turn enhances the performance of students in physical education and promotes the information development of the sports industry.
Design of non-electrical protection device for 300Mvar-class large-scale phase-regulating units
Authors: Huang Jinjun , Wang Peng , Liu Zhiyuan , Han Jinsi
Published: May 2024

This study investigates the role of non-electrical protective devices in forecasting hazards for large 300Mvar class phase shifter units, which face overvoltage and overcurrent stresses under severe faults, distorting their internal magnetic fields. Utilizing migration learning, the research extracts target and auxiliary data to train autoencoders with sparse constraints. A deep learning-based DSAE-BP online recognition network is constructed using a backpropagation neural network. This network predicts potential safety hazards in large-scale phase-regulating units by analyzing data signals from connected sensors. Experimental results show delay time errors of less than 20ms and ripple rates between 1.40%-1.65% across varied current and voltage conditions, demonstrating the device’s accuracy and stability in fault prediction.
Exploring the Value, Risks and Its Path of Digital Transformation of Civics Teaching in Colleges and Universities
Authors: Li Mengyang
Published: May 2024

This paper uses deep learning algorithms to detect and extract student behavioral features in the Civics classroom. It first predicts and detects the target location and behavior of students in classroom images by FastR-CNN algorithm, extracts the detected student data features by MSResNet-50 algorithm, and then introduces the attention mechanism to screen the extracted behavioral features, and analyzes the accurate location information and channel information to get the student’s behavioral performance in the Civics classroom. The Civics element framework is used to construct a digital transformation path for Civics courses in this study. In order to reflect the value of the digital transformation of Civics teaching, the study conducted a teaching comparison practice. After a semester’s test, the Civics scores of the students in the five classes were above 80 (good or excellent). In contrast, the mean score of Civic Literacy in the post-test reached 3.863, which was significantly different from that before the practice (p=0.007<0.05). The value of “student-initiated speaking” behavior was higher than 45 in the practice class, and the student’s participation in the class was much higher than that in the control class. Analysis of the effect of teaching implementation found that the motivation score of students in class E increased from 3.511 to 4.957, with a significant difference (p=0.048<0.05). It was also found that the posttest score of “value concept” of students’ Civics literacy increased by 21.19%, and the score of “honesty and friendliness” also increased by 0.959 points. The massive amount of digital information generated by the implementation of the digital Civics teaching path in this paper may affect the student’s ability to think independently. However, the results achieved by the teaching path still provide reference ideas for the innovation of Civics teaching and reference data for the value and significance of the path’s implementation.
A study of key techniques in mathematical input-output modeling in the field of management accounting
Authors: Liu Shen
Published: May 2024

In this paper, we explore the integration of a stochastic input-output model based on uniform distribution into management accounting systems to enhance operational efficiency in enterprises. The model is formulated as the mathematical expression of an input-output table, focusing on the structure of the direct consumption coefficient matrix. By applying this model to the financial data of Y Iron and Steel Enterprise in W City, we evaluate the enterprise’s competitiveness and input-output performance. From 2019 to 2023, the company’s capital rate increased markedly from 0.0235 to 0.0868, reflecting a stronger resilience against lousy debt risks. Furthermore, we observed substantial growth in assets, deposits, and loans, with 2023 figures at 0.4965, 0.5839, and 0.3899, respectively. These metrics highlight the rapid development of the financial market and expansion opportunities. Our analysis demonstrates the utility of input-output models in management accounting to qualitatively assess and optimize product output and sales, thus ensuring greater overall operational efficiency.
Research on the Development of College English Pedagogy System in Cross-cultural Perspective
Authors: Jin Tiezhu
Published: May 2024

Current college English programs at universities suffer from an inadequate teaching system and poor practical results, which hinder the effective development of students’ intercultural communication abilities and reduce their interest in learning the subject. This study integrates the output-oriented approach with blended teaching techniques to develop a college English teaching model. Utilizing University A as the research subject, we designed questionnaires and conducted teaching comparison experiments to evaluate the model’s effectiveness. The entropy value method calculated the weights of formative evaluation indices, while the fuzzy comprehensive evaluation model assessed the teaching quality. The results of the data analysis show that the reading character of students in class A under the blended teaching mode shows significant differences. The total score of reading level score is 21.07 points higher than that of students in class B with traditional teaching, and the speaking score rises by 3.468 points. The quality of college English teaching in University A was rated good, with a comprehensive score of 90.32 points using the fuzzy comprehensive evaluation model. The POA-based college English blended teaching model and formative evaluation system provide a new reference for innovating the college English teaching model in colleges and universities and boosting the intercultural communicative competence of college and university students.
Research on Electromagnetic Sensing Detection Technology for Non-Destructive Testing Applications
Authors: Wang Dongdong , Cao Feng , Guo Shuzhi , Yu Yan
Published: May 2024

Nondestructive testing technology, as an indispensable part of modern industrial production, is of great significance for guaranteeing product quality, improving production efficiency, and ensuring production safety. This paper is based on nondestructive testing and electromagnetic sensing detection technology research. The study first adopts ACFM detection to analyze the sensitivity of the surface defect parameters of the material to be detected, and based on the analysis of the magnetic circuit of the electromagnetic sensing structure, to build a mathematical model of ACFM and electromagnetic coupling probe, and then through the magnetic method of non-destructive testing on the material cracks in the detection of the signal effect of the study. The results show that the amplitude of the response signal increases with the increase of the defect angle from 0 to 7 ms, reaching a maximum value of 0.24–0.26 around 6 ms. The amplitude of the response signal decreases with the decrease of the defect angle from 7 to 14 ms and reaches a minimum value of −0.16–0.18 around 14.5 ms. The amplitude of the detection signal is related to the depth of the crack and the length of the surface defect of the steel sheet specimen. The crack depth and surface defect length of the steel plate specimen influence the detection signal’s magnitude. When the defect depth and surface length of the steel plate specimen are 1.5 mm, the detection signal value is weak, and the noise on the surface of the steel plate specimen has a significant effect on the detection signal. Promoting the development and application of NDT technology is greatly aided by the results of this paper.
A Systematic Study on the Dilemma and Innovative Path of Rural Family Education Development in the Context of Deep Learning
Authors: Li Jun , Yang Qilin , Xia Feng
Published: May 2024

In order to better improve the level and quality of rural family education, this paper adopts text mining technology to interpret the relevant data of rural family education under the background of deep learning. On the basis of deep learning algorithms, web crawler technology is used to obtain rural family education research data. It is found that there are null values and repetitive values in the acquired research data, so it is necessary to further clean the research data. After washing, the combined Bi-LSTM-CRF algorithm is used to process the data for Chinese word segmentation, and at the same time, the stop word list is improved in order to achieve the best word segmentation effect. The LDA thematic model was used to determine the influencing factors of rural family education, and then the linear regression algorithm was used to analyze rural family education empirically. Rural teachers with different education levels were not significantly different in Q1 (1.608), Q2 (0.117), Q3 (2.019), Q4 (1.733), and Q5 (2.042), according to the results. The adjusted R2 is 0.133, indicating a fair fit between the model obtained from the regression analysis and the actual data, and the regression coefficient of family education is 0.411 after eliminating the confounding interference of grade and political appearance. This study purposefully proposes a path for the innovative development of rural family education, which can provide a theoretical reference program for the development and construction of modern rural family education.
Exploring the Path of Civic-Constitutional Construction of Civil Aviation Professional English Courses in the Information Age
Authors: Shen Weihua , Chen Hongyan , Zhang Yuanting
Published: May 2024

The form of online teaching in the information age has become the mainstream of the construction of civil aviation professional English courses in Civics. In this paper, the digital resource module for the English course Civics for Civil Aviation Professionals is screened out by combining it with the teaching design of the Civics course for civil aviation English courses. With the help of the subtitle text selection method and the semi-supervised model of S4VM to label the teaching resources of the English course Civics, the CUMPF model is used to recommend the teaching resources of the English course Civics. Collecting and organizing the online learning behavior data of flipped classrooms to explore the influence of long and short-acting course resource design factors on the continuity of online learning, and recommending teaching resources based on the analysis results. The results of the effectiveness of the construction of the civil aviation professional English course’s Civic and political construction are analyzed from the degree of integration of the course’s Civic and political elements as well as from the four dimensions of course background, course guarantee, course implementation, and course effect, respectively. The integration degree of English course Civics resources for civil aviation majors is the best, which can reach up to 3.9315. The overall construction scores of the English course Civics are 0.907, 0.809, 0.744, and 0.768. The construction of the course implementation dimension needs to be improved, and the teaching materials of the English course Civics need to be improved in terms of writing and design. Civil aviation majors can benefit from the study’s ability to check and fill in the gaps in the Civics and Politics of English course construction.
Value, Dilemmas and Innovative Strategies of Educational Management Clustering in the Internet Era
Authors: Tan Binghua
Published: May 2024

With the continuous improvement of the national education system, the Internet brings new opportunities for educational development but also brings specific challenges to the educational management of colleges and universities. This paper aims to analyze the current situation of education management in colleges and universities and construct an innovation model for education management clustering based on PDCA, which will be explored for its development value and power. And then, using the partial least squares regression algorithm and its modeling steps, to construct the educational management clustering regression model. The influencing factors of the educational management clustering model are analyzed with 12 “double first-class” colleges and universities in five provinces in Northwest China as research objects. The results show that the average comprehensive efficiency and pure technical efficiency of the universities in Northwest China range from 0.6585 to 0.9987 and from 0.773 to 0.994, respectively, indicating that the efficiency of higher education resource allocation in Northwest China is constantly improving. Compared with the traditional education management model, the colleges and universities applying the education management clustering model constructed in this paper in 2022–2023 show a scale-invariant trend, indicating that the colleges and universities have sufficiently invested in education resources and realized the scale efficiency. Educational management clustering can improve the efficiency of school educational resource allocation, thus improving the level of educational management and providing a theoretical basis for the study of innovative strategies in educational management.
Music personalization imputation method based on deep transfer transfer learning
Authors: Wang Jing
Published: May 2024

The current music recommendation is less efficient and cannot meet the needs of most people. This paper combines deep learning and migration learning to research music recommendations. It mainly utilizes the hybrid recommendation method of label recommendation and noise reduction autoencoder to achieve accurate music recommendations after extracting the features of music and the user’s preference features. In addition, in order to explore the recommendation effect of the model in this paper, the deviation between the measured score and the actual score of this model is compared and analyzed as well as the similarity difference of music with different features is explored in terms of HR, Recall, and NDCG index performance. The results show that the number of songs with a deviation of 2 or less in the predicted scores of this recommender system all account for 88% of the total number of songs, which is better than other models. In terms of HR, Recall, and NDCG, this paper’s model has better recommendation performance than other models, and the similarity of music recommendation between the same album and different albums is more than 0.65. This study is of great significance for eliminating the information barriers to enhance and explore the value of music data information.
Intelligent Assessment of Teaching Quality of Computer Technology Courses in Colleges and Universities Based on ISSA-DRNN
Authors: Xie Pinzhang
Published: May 2024

With the continuous development of artificial intelligence technology, its application in the teaching of computer technology courses in colleges and universities is gradually deepened. In this study, the traditional sparrow search algorithm (SSA) is first processed to find the optimal solution, and then the ISSA algorithm is proposed and modeled. Training the deep recurrent neural network algorithm (DRNN) and combining it with the ISSA algorithm resulted in the construction of the teaching wisdom assessment model for the course. Finally, a teaching quality evaluation system for computer courses is constructed and applied to explore changes in teaching quality. The results show that in the assessment of the teaching quality of computer technology courses, the course structure and the teacher’s profile occupy the highest weight, and the weights occupied by these two items are more than 0.7. Secondly, the accuracy of the ISSADRNN model reaches more than 95%, and the maximum error is 0.0284. The average scores of each index system are more than 88. The overall performance is good and close to excellent. The model output’s actual value is within the expected range and has high accuracy. It can be seen that the intelligent assessment model of computer teaching quality proposed in this study has broad application potential and practical value.