bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengembangan Media Cetak dalam Pembelajaran Bahasa Arab
Authors: Adam Muhammad Zikran , Firmansyah Muhammad Guntur , Machmudah Umi , Huda Miftahul
Published: August 2024

media cetak sudah dianggap sebagai salah satu media pembelajaran yang efektif dari zaman terdahulu bahkan sampai zaman modern seperti sekarang, penggunaan media cetak dalam pembelajaran masih cukup terbilang efektif. Maka dari itu penelitian ini bertujuan untuk menggambarkan bagaimana pengembangan dan penerapan media cetak dalam pembelajaran bahasa arab untuk menjadikan bahan referensi untuk pendidik dalam mengembangkan media terutama berbasis cetakan dalam pembelajaran bahasa Arab Penelitian ini menggunakan pendekatan kualitatif, dengan jenis penelitiannya studi literatur. Kemudian, dalam proses tehnik pengumpulan dan analisis data dilakukan dengan tehnik dokumentasi dengan cara mengumpulkan dan mengkaji berbagai jurnal dan artikel yang berkaitan dengan tema yang dibahas. Hasil penelitian menunjukkan bahwa Pengembangan media cetak seperti buku, modul, kartu bergambar, poster dan buletin dalam pembelajaran bahasa arab masih sangat mampu memberikan dampak positif pada peserta didik dalam suatu kegiatan belajar dan mengajar walau dizaman penuh teknologi modern.
Kata kunci: Media cetak, Pembelajaran Bahasa Arab
The Implications of The Sorogan Method in Increasing Students' Interest and Confidence in Reading The Yellowclassical Book (Kitab Kuning)
Authors: Maulidiya Qoriny Abidah , Nuha Muhammad Afthon Ulin
Published: August 2024

Abstract A good learning method is a method that can increase the interest and ability of students and achieve the planned learning objectives. Teachers must be able to choose and innovate a learning method and make students interested in learning Arabic. In this regard, the sorogan method comes with its techniques and teaching that has intensive closeness with the teacher. Therefore, this study will discuss the description and explanation of the sorogan method in increasing students' interest and confidence. The purpose of this study is to provide results and evidence to people that this sorogan method is effectively used. This research falls into literature study research. Literature research is utilized to obtain research data, namely in the form of sorogan methods to increase students' interest and confidence. The results obtained regarding the technique of this sorogan method, the practice is directly facing the teacher and is assessed directly by the teacher.
Keywords: Sorogan Method, Interest and Confidence, Kitab Kuning
أثر طريقة التعاونية المرطبة للقراءة والتركيبة نحو ترقية مهارة القراءة لدى طلاب الصف الثامن بمدرسة المجتهد الثانوية الأهلية
Authors: Aisah Nur , Rahmap Rahmap
Published: August 2024

أهداف هذا البحث أولا لمعرفة نتائج مهارة القراءة لدى طلاب الصف الثامن بمدرسة المجتهد الثانوية الأهلية قبل استخدام طريقة  التعاونية المرطبة للقراءة و التركيبة. ثانيا لمعرفة نتائج مهارة القراءة لدى طلاب الصف الثامن بمدرسة المجتهد الثانوية الأهلية بعد استخدام طريقة التعاونية المرطبة للقراءة والتركيبة وثالثا لمعرفة أثر استخدام طريقة التعاونية المرطبة للقراءة والتركيبة نحو ترقية مهارة القراءة لدى طلاب الصف الثامن بمدرسة المجتهد الثانوية الأهلية. وقد قام هذا البحث دراسة كمية بمنهج  التجارب. واستخدام البحث التجارب مجموعة الواحدة بتصميم الإختبار القبلي والإختبار البعدي. عينة هذا البحث لدى الطلاب بالصف الثامن بمدرسة المجتهد الثانوية الأهلية  الذي وصل عدده  38 شخصا.  بناءً على نتائج البحث (1) حصلت مهارة القراءة لدى الطلاب قبل استخدام طريقة التعاونية المرطبة للقراءة و التركيبة في الاختبار القبلي على متوسط ​​درجة الطلاب 57.71 مع KKM 77. الطلاب الذين حصلوا على درجة كاملة من 4 أشخاص أو 10.5٪ فقط ، في حين أن الناقصة تصل إلى 34 شخصًا أي 89.5٪. (2) نتائج مهارة القراءة لدى الطلاب بعد استخدم طريقة  التعاونية المرطبة للقراءة و التركيبة في الاختبار البعدي ، إرتفاع  بقيمة 85.74. حصل جميع الطلاب كاملا 38 شخصًا بنسبة 100٪ مع KKM 77. (3) استخدم طريقة  التعاونية المرطبة للقراءة والتركيبة أثر في مهارة القراءة لدى طلاب بشكل كبير (-Tailed 2) 0,000 أقل من 0,025  مع استنتاج مفاده رفض H0 وقبول Ha.  هناك أثر في مهارة القراءة لدى طلاب بعد استخدم طريقة  التعاونية المرطبة للقراءة و التركيبة.
Implikatur Non Konvensional pada Meme Arab dalam Akun Twitter @egyptianmeme dan @memesOficiial
Authors: Sholehah Imamatus , Kuswoyo Intan Handita , Nakidhoh Soviatun , Thoriquss’uud Muhammad
Published: August 2024

Meme menjadi salah satu media untuk menyampaikan sesuatu hal. Namun, hal yang disampaikan dalam meme seringkali tidak tertulis yang membuat sebagian orang tidak dapat memahami maksud dari isi meme tersebut. Untuk memahaminya kita harus memahami pula konteksnya. Oleh karena itu analisis yang sesuai untuk memahaminya yaitu melalui salah satu kajian pragmatik berupa implikatur. Namun, penelitian ini hanya berfokus pada implikatur non konvensional yang terdapat dalam teori Grice. Oleh karena itu, penelitian ini bertujuan untuk menjelaskan bentuk implikatur non konvensional dan maksud atau tujuan tersirat pada meme arab dalam akun media sosial twitter @egyptianmeme dan @memesOficiial serta menentukan fungsi meme itu dibuat. Teori dalam penelitian ini menggunakan teori Grice di mana berfokus pada salah satu jenis implikatur, yaitu implikatur non konvensional. Peneliti menggunakan metode kualitatif deskriptif. Hasilnya adalah terdapat lima meme berbahasa arab non konvensional yang memiliki suatu tujuan atau maksud tersirat dengan menyesuaikan konteks yang sebenarnya dan terdapat fungsi dari setiap meme tersebut dibuat.
Kata kunci: Implikatur Non konvensional, Teori Grice, Meme, Twitter
BEKERANJAP, KEARIFAN LOKAL DALAM BERLADANG PADA MASYARAKAT MELAYU DI PADANG TIKAR, KUBU RAYA, KALIMANTAN BARAT
Authors: Ruslansyah Ruslansyah , Fajarisman Ikhsan
Published: August 2024

Setiap daerah memiliki kearifan lokal masing-masing. Kearifan lokal itu diperlukan untuk keberlangsungan kehidupan sosial di masyarakat. Begitu pula pada masyarakat Melayu di Padang Tikar, Kubu Raya, Kalimantan Barat . Komunitas ini memiliki kearifan local, bekeranjap. Tujuan penelitian ini untuk  mendeskripsikan tradisi bekeranjap masyarakat Melayu di Padang Tikar. Penelitian ini menggunakan pendekatan kualitatif deskriptif. Teknik pengumpulan data menggunakan wawancara mendalam terhadap orang Melayu Padang Tikar.  Hasil penelitian ini menunjukkan masyarakat Melayu Padang Tikar  melaksanakan tradisi bekeranjap saat menanam dan panen.  Tradisi ini dilaksanakan berdasarkan prinsip tolong menolong tanpa mengharapkan imbalan apapun.
Each region is characterised by a distinct form of local knowledge. The sustainability of social life in a community is contingent upon the presence of local wisdom. A similar argument can be made with regard to the Malay community in Padang Tikar, Kubu Raya, West Kalimantan. This community has local wisdom, known as bekeranjap. The objective of this study was to describe the bekeranjap tradition of the Malay community in Padang  Tikar. This study employed a descriptive qualitative approach, utilising in-depth interviews with Padang Tikar Malays as the primary data collection technique. The findings revealed that the Padang  Tikar Malay people engage in bekeranjap traditions during planting and harvesting. These traditions are based on the principle of mutual assistance, with no expectation of reciprocation.
KONDISI PSIKOLOGI MENYAMBUT IDUL FITRI WARGA DESA TRI KEMBANG, SAMBAS
Authors: Istiqomah Nur , Yana Yana
Published: August 2024

Lebaran atau hari raya idul fitri merupakan jalan menuju fitrah dan bersih setelah umat muslim menjalankan puasa selama sebulan. Lebaran juga memiliki hubungan dengan kondisi psikologis bagi sebagian orang, karena adanya persiapan menjelang lebaran yang berpotensi menyebabkan stres. Penelitian ini bertujuan untuk mengetahui bagaimana kondisi psikologis Masyarakat dalam persiapan menyambut lebaran. Penelitian ini menggunakan metode kualitatif dengan teknik pengumpulan data melalui wawancara dan observasi. Pengumpulan data ini dilakukan di desa Tri Kembang, Kabupaten Sambas, Kalimantan Barat.  Peneliti melakukan wawancara kepada empat orang informan dari kalangan bapak-bapak, ibu-ibu, anak-anak dan tokoh masyarakat. Hasil dari penelitian ini menunjukkan terdapat perbedaan yang cukup signifikan pada setiap kalangan. Berdasarkan hasil wawancara dan observasi perbedaan itu terjadi karena adanya perbedaan peran dan tanggung jawab pada setiap orang dalam persiapan menyambut lebaran.
The celebration of Eid or Eid al-Fitr represents a means of fulfilling the Islamic obligation of fasting for a month, as well as a ritual of purification and renewal. Furthermore, Eid is associated with psychological conditions in some individuals due to the extensive preparations undertaken in the lead-up to the festival, which can potentially induce stress. The objective of this study is to ascertain the psychological state of the community in anticipation of Eid. This study employs qualitative research methods, utilising data collection techniques through interviews and observations. The data collection was conducted in Tri Kembang village, Sambas Regency, West Kalimantan.  The researchers conducted interviews with four informants, selected from among the fathers, mothers, children, and community leaders. The findings of this study demonstrate that notable discrepancies exist between the various groups. The results of the interviews and observations indicate that differences in roles and responsibilities among individuals contribute to variations in their approaches to preparing for the celebration of Eid.
Exploring dietary supplement consumption behaviors and determinants among the urban Thai elderly
Authors: Ngamyingyod Jiranuch , Chiangkhong Araya , Rujipairoch Pornprom , Pounglek Weerapong
Published: August 2024

The consumption of dietary supplements among the elderly is on the rise. Despite the potential benefits, a comprehensive understanding of the decision-making processes leading to the consumption is lacking. This study explores the conditions influencing the decision-making and behavioral patterns of older adults related to dietary supplement consumption. Using a qualitative approach, in-depth interviews were conducted with 21 elderly participants from a seniors’ club in Bangkok, Thailand, who had consistently consumed dietary supplements for at least one year. The behavior was classified into five primary categories: enduring use of identical dietary supplements, insufficient regard for health compatibility, replacing medications with supplements, not verifying before consumption, and opting for supplements over medical treatments. These patterns are aligned with the core constructs of the Theory of Planned Behavior (attitude, subjective norm, and perceived behavioral control). Many individuals perceive supplements as pivotal health investments, while others view them as a direct route to robust health. Trusted advice from friends and television significantly influence their choices, with a prevailing sentiment that dietary supplements are generally safe. The high price tag on supplements is often associated with superior quality. The findings highlight the multifaceted nature of dietary supplement consumption decisions among the Thai elderly, suggesting the need for interventions to promote safer and more informed choices.
Investigating the main factors responsible for changes in income inequality in China between 2000 and 2018
Authors: Guo Jiahong , Cao Shixiong
Published: August 2024

Poverty, and especially the widening disparity between the rich and the poor, leads to social unrest that can interrupt the harmonious development of human society. Understanding the reasons for income inequality, and supporting the development of an effective strategy to reduce this inequality, have been major goals in socioeconomic research around the world. To identify the determinants of the income gap, we calculated the Gini coefficients for Chinese provinces and performed regression analysis and contribution analysis for heterogeneity, using data from 30 Chinese provinces from 2002 to 2018. We found that urbanization, higher education, and foreign direct investment in eastern China and energy in central and western China were important factors that increased the Gini coefficient (i.e., decreased equality). Therefore, paying more attention to the fair distribution of the factors that can increase the Gini coefficient and investing more in the factors that can reduce the Gini coefficient will be the keys to narrowing the income gap. Our approach revealed factors that should be targeted for solutions both in China and in other developing countries that are facing similar difficulties, although the details will vary among countries and contexts.
Factors influencing career adaptation: The positive effects of mastery goal orientation, social support, and vocational decision self-efficacy
Authors: Du Baiyan , Wang Jingcheng , Qian Yuzhe , Cheng Jun
Published: August 2024

In the highly competitive employment environment, most college students have left their jobs for a short time after employment, and attention should be paid to students’ career adaptation. However, the further influence of skilled goal orientation, social support and career-determined self-efficacy on college students’ career adaptation needs to be confirmed. This study analyzes the effects of these factors on college students’ career adaptation. This study aims to analyze the impact of mastery goal orientation, social support, and vocational decision self-efficacy on career adaptation among 224 university students in East China. The results indicated that university students generally exhibit positive levels of mastery goal orientation, social support, vocational decision self-efficacy, and overall career adaptation. Female students demonstrate higher levels of mastery goal orientation, social support, vocational decision self-efficacy, and career adaptation compared to male students. As students progress in their academic years, their levels of mastery goal orientation, social support, vocational decision self-efficacy, and career adaptation tend to increase. Students majoring in humanities and social sciences have higher level than students majoring in science and engineering in all factors. Students majoring in humanities and social sciences exhibit more optimism in all factors compared to students in science and technology fields. The relationships among these factors show positive correlations. Mastery goal orientation, social support, and vocational decision self-efficacy all have positive effects on career adaptation. Among these, family support stands out as the most influential subordinate factor of social support on career adaptation. The most influential subordinate factor of vocational decision self-efficacy on career adaptation is conscious decision-making. Therefore, male, lower grade, science and engineering college students are the groups that need to be paid attention to in improving career adaptation. Skilled goal orientation, family support and conscious decision making have a better effect on the improvement of career adaptation. These results can provide important reference information for universities, counselors and college students in the training of career planning, and theoretically enrich the relevant research on college students’ career adaptation, and provide certain enlightenment for future researchers.
Research on the problems and countermeasures of education and training of left-behind women in rural areas under the background of rural revitalization
Authors: Zhang Xueqing , N. Idris
Published: August 2024

As China’s urbanization process accelerates, it has become common for rural men to go out to work and women to stay at home. The implementation of China’s rural revitalization strategy is in dire need of a large amount of high-quality human capital, and education and training are an important way to improve human capital and empower left-behind women. Starting from the background of China’s rural revitalization, this study focuses on the education and training of rural left-behind women, a topic that has received less attention. Through in-depth interviews and participatory observation, we analyzed the factors affecting rural left-behind women’s participation in education and training, as well as the problems that exist in China’s rural education and training process, and proposed strategies to solve them. The study found that education level, traditional attitudes, economic income, knowledge of education and training, and mental health are important factors affecting the participation of left-behind women in education and training in rural China. At the same time, there are some problems in the process of education and training, such as a single main body of supply and training methods, a lack of teachers, and a lack of management, etc., which affect the development of education and training, and thus also the promotion of rural revitalization.
A kálvinizmus hatása az európai jogi gondolkodásra és jogtudományra
Authors: Hamza Gábor
Published: August 2024

Theodor Heuss szerint Európa szellemi, kulturális egysége három dombra, az Akropoliszal, a Capitoliumra és a Golgothára épül. A Capitolium az európai kultúra, Európa entitásának egyik, a jogot reprezentáló alapja, pillére. A Capitolium, Theodor Heuss értelmezésében a római jog. A jog fogalma évszázadokon keresztül a római jogot értették, amelyet az Kr. u. VI. században a jusztiniánuszi Corpus Iurisban kodifikáltak, kompiláltak. A római jog alapvető tételei az európai civilizációtól elválaszthatatlanok. A lutheranizmushoz szervesen kapcsolódik a kálvini reformáció. Kálvin János művével kapcsolatban hangsúlyozandó, hogy az, összevetve a lutheri oeuvre-rel, nagyobb mértékben, nagyobb súllyal jogi vonatkozású. Luther ugyanis döntően teológus, aki minden jogi jelenséget negatívnak tart. Kálvin János Luther Mártonnal ellentétben jogász (iurisperitus, iurisconsultus).
A dynamic system analysis study on the design of high-performance pervious concrete ratios
Authors: Zhou Hailing , Liu Yongsheng , Yang Xuguang
Published: August 2024

As permeable concrete contains more pores and larger pore size when improving its water permeability, it will affect its mechanical properties and durability, so it is of great significance to study the mixing ratio of porous concrete. Studying the mixing ratio of porous concrete is of great significance. The subject is studied in depth from the aspects of mechanical properties and water permeability, in order to prepare high-performance permeable concrete with high compressive strength and meet the requirements of infiltration. Firstly. Optimization of the performance of raw materials and mixing ratios of porous concrete, according to the aggregate gradation, aggregate particle size, and other factors on the mechanical properties of porous concrete, to determine its optimal aggregate mixing ratio. Three groups of high-performance pervious concrete specimens with different aggregate particle sizes and pore structures were examined for their real fine structure. Finally, after the preparation of high-performance pervious concrete was completed, the porosity, fractal dimension, equivalent diameter, contour coefficient, and roundness of the specimens were tested to investigate the effects of several factors mentioned above on the permeability coefficient and compressive strength properties of pervious concrete. The results show that the two-dimensional pore diameter is normally distributed, the diameter size is centrally distributed in the range of 0~10mm, and the number of pores in this range accounts for more than 70%. Gradually increasing aggregate particle size leads to an increase in the proportion of large pores inside the specimen. After the compressive strength test and porosity test, it was found that the water permeability coefficient of the porous concrete was the best for the single-grain limestone aggregate with the equivalent diameter range of 5~8mm. The results of this study have theoretical value in enriching and developing high-performance permeable concrete.
Analysis of Deep Learning Techniques to Facilitate Automation of Financial Statements for Accounting Programs in Higher Education Institutions
Authors: Liu Fei
Published: August 2024

The rapid development of information technology and mobile Internet technology has brought about innovations in the field of education. The application of financial statement automation analysis methods in the teaching of accounting majors in higher vocational colleges and universities is conducive to improving the quality of the training of accounting talents in higher vocational colleges and universities so as to accelerate the construction of the modern accounting industry college. This study proposes the application of relevant deep learning techniques in the process of automated analysis of financial statements in terms of recognition and analysis, such as text detection based on CTPN and text recognition technology based on CRNN-Attention, which makes the processing of financial statements more automated and intelligent. It is also proposed to utilize the K-means algorithm to perform cluster analysis on the model output to extract the financial status of the company. To evaluate the model’s performance, several financial statement images of 12 companies are sampled for example analysis. The experimental data shows that the model has a high percentage of image skew correction, e.g., the ratio of image skew correction for the income statement and cash flow statement is 100%. The recognition speed of the model is also faster, with the consumption time of the profit and loss statement recognition task being around 0.3 seconds in 20 tests. In the financial statement analysis session, each of the three clusters of companies under the K-means algorithm clustering has its characteristics, with the first cluster of companies having a stronger quality of earnings, the third cluster of companies having outstanding profitability, and the second cluster of companies having average indicator data.
Research on the Construction of Electricity Market Operation Efficiency Assessment Model and Indicator Early Warning Based on Cloud Entropy Optimization Algorithm
Authors: Ren Longxia , Yang Su , Wu Dianning , Gao Fangping , Su Yuhong
Published: August 2024

In this paper, we first constructed the indexes for evaluating the operational efficiency of the electric power market, and screened the indexes by using the Delphi method. Then, the basic numerical characteristics of the cloud model are explored, and the hierarchical boundaries of the power market operational efficiency assessment indexes are delineated. The market operational efficiency assessment model is established by using the cloud entropy optimization algorithm, and the objective weights are determined by the entropy weighting method. The market operation efficiency assessment model is used to analyze the operation efficiency of the power market, and targeted suggestions are made to address existing problems. Finally, the risk warning threshold of the operation efficiency of the power market is set. The risk warning of the operation efficiency of the power market is analyzed. The predicted values and expected output values are compared to validate the applicability of the model in this application. The average value of the operation efficiency of the power market is 3.3, the level of efficiency is between 2 and 3, and the power market operation efficiency is in the range of 2-3. The range is 2-3, and the grade of power market operational effectiveness is medium. This study helps improve the operational efficiency of the power industry and optimize the allocation of market resources in the power industry.
The Application of Spectrogram in the Teaching of High-level Vocal Music Major Students
Authors: Fang Juncheng
Published: August 2024

Vocal music teaching has developed to the present day, still following the method of oral transmission, but with the development of modern science and technology, sound images can be processed to clearly see the quality of sound used. Students’ vocal signals are used in the article to extract articulation features and construct a vocal spectrogram. The vocal spectrogram is used in vocal music teaching to enhance the students’ timbre resonance. In order to verify its application in dissecting students’ singing effects, the state of different students’ American soprano articulation area is concretized on the spectrogram in terms of students’ voice change differences, breathing aspects, and vocal resonance while comparing the differences between the manual evaluation and the evaluation of the vocal spectrogram analysis. It can be seen that the minimum fundamental frequency of student A in the first group is 191.7 lower than that of student B, which is 287.8, and the maximum fundamental frequency of 1033.2 is also significantly higher than that of student B, which is just the same as the conclusion drawn from the manual scale. To sum up, according to the sound spectrogram, the teacher can well analyze the students’ voice waveforms visually, and the students can adjust the vocal state through the voice waveforms so as to carry out the correct reinforcement training and add new means for the traditional mode of vocal teaching, so as to make the teaching of vocal music gradually realize the visualization and intuition.
Temperature control system of hot and cold alternating treatment system based on Kalman filter combined with fuzzy logic
Authors: Xiong Zhijie , Shen Xizhong
Published: August 2024

Aiming at the lag, overshoot, easy interference, and other problems of the temperature control of the heat exchanger in the current alternating hot and cold treatment of deep vein thrombosis equipment, a fuzzy temperature control method based on Kalman filtering is proposed to complete the filtering for the measurement noise through Kalman filtering. Finally, based on the fuzzy strategy to achieve fast response and overshoot control of temperature control, we analyze its fuzzy rules and reasoning through the study of fuzzy PID control. By using MATLAB software for simulation and comparison, it is proved that the accuracy of the designed heat exchanger temperature control system is greatly improved, the robustness of the system is better, the response speed is obviously improved, the amount of overshooting is reduced, the regulation time becomes shorter, and there is also a strong inhibition effect on the interference.
Analysis of geological data of oil and gas survey and exploration combined with modern electronic technology
Authors: Wang Qingqing , Yang Shengu
Published: August 2024

Modern electronic remote sensing technology is an advanced and effective high-tech means of obtaining information on earth’s resources and environment at low cost, which provides a practical and effective method for oil and gas exploration. Based on the hyperspectral remote sensing technology in modern electronic technology, the article analyzes the specific process of applying it to oil and gas exploration and combs through the spectral characteristics of hydrocarbon microleakage based on oil and gas microleakage. To prevent the “dimensionality disaster” of Hyperion remote sensing data, principal component analysis is introduced to downsize the remote sensing data, and the PCA-CWT algorithm is combined with the continuous wavelet transform to extract hydrocarbon features. Based on Hyperion remote sensing data, hydrocarbon microseepage deciphering was carried out, and strange information from hyperspectral remote sensing geological data was also analyzed. The clay alteration anomaly information has obvious absorption bands between [220nm and 2450nm], the spectral absorption ranges of iron oxide and ferrous oxide minerals are mainly around 750nm and 1250nm, and the absorption bands of carbonate minerals are concentrated in the intervals of 2350nm and 2500~2750nm. Based on modern electronic remote sensing technology can realize the precise positioning of oil and gas reservoir areas, and different spectral features express the alteration of oil and gas minerals, which provides reliable support for recognizing the accurate development and utilization of oil and gas reservoir areas.
Public Message Analysis Based on LDA-BERT-BiLSTM -- Taking the “Leadership Message Board” of People’s Daily Website as an Example
Authors: Zhao Jiangtao , Zhao Xinyu
Published: August 2024

[Objective/Significance] This article explores the theme of elderly care and its emotional trend, providing a scientific basis for formulating and optimizing elderly care policies, thereby improving the quality of elderly care services and promoting the harmonious and stable development of society. [Method/Process] This study uses the message data related to pension issues in the “leadership message board” platform of People’s Daily Online as the research object, the LDA model to extract relevant topics, and the BERT-BiLSTM model to analyze the emotional trend changes of each subject. [Result/Conclusion] The research results show that the theme of pension covers 16 sub-subjects, such as “environmental noise problem of pension,” “pension community construction planning,” and “retirement pension policy treatment.” The classification accuracy of the BERT-BiLSTM model is 0.89, and the F1 value is 0.86, which shows its superiority in sentiment evolution analysis. The expression of negative emotions in pension theme messages is generally higher than that of neutral and positive feelings, and the elderly group’s emotional attitude shows significant differences under different themes of raising older people.
The logic of change and its unfolding in Germany’s relations with countries in the Middle East driven by big data
Authors: Tian Yushi
Published: August 2024

Big data, as an advanced production technology, can, to a certain extent, explain the transformation of state-to-state relations. This paper uses Germany’s bilateral relations with the Middle East as an example to explore the specific application of big data technology in the transformation of state relations. Data-driven data visualization, automatic text analysis, social network analysis, and other analysis techniques of national relationship change are first summarized. Then, the change in Germany’s relationship with the Middle East countries is analyzed based on social networks. The social network data analysis process is designed, and the K-means temporal clustering algorithm is used to analyze Germany’s relationship with the Middle East countries from the time dimension. The data processing of the GDELT database, Germany and the Middle East countries during the period of 2004-2023 in the cooperation category of events and conflict category of events, Germany and the Middle East countries conflict relationship is divided into two phases of 2004~2013 and 2014~2023, and the cooperation relationship is divided into two phases of 2004~2016 and 2017~2023.
Research on Intelligent Decision Support System for Student Management and Mental Health Intervention in Higher Education Institutions
Authors: Yuan Zhuo
Published: August 2024

The intelligent management system of colleges and universities is an important display of the informationization construction of colleges and universities. Aiming at the life trajectory and life information of students in colleges and universities, this paper combines data mining and other technologies, adopts Python language and MySQL database technology, and improves on the Flask framework to develop an intelligent decision support system for student management and mental health intervention. The study takes student achievement abnormality detection and mental health intervention as an example, uses the improved K-Means algorithm and Apriori algorithm to mine and analyze the relevant data, and discusses the specific application of the intelligent decision support system. The sample students can be divided into three different types of academic performance: excellent, ordinary, and difficult. Precision teaching can be implemented according to the different types of students. Only 3% of the students had more obvious and serious psychological problems, while 80% of the students had a relatively healthy psychological state. Moreover, the correlation rules between student information and mental health status are analyzed, which can aid in the implementation of mental health interventions. The intelligent system of student management can provide the most direct and effective evidence for academic administrators in making decisions on teaching plans, thus making student education more targeted, personalized, and predictive.
A Study on Analyzing Symbolism in Literature by Combining Computer Vision Techniques
Authors: Chen Jiuen
Published: August 2024

The development of computer technology has greatly promoted the analysis and research of literary works, mainly in the aspects of information collection and data analysis. The analysis model of symbolism in literary works is constructed using the Word2vec algorithm and TextCNN text classification algorithm in this paper. Using computer vision-based OCR text recognition technology, text data is collected from poetic literary works related to a watershed. The dataset is analyzed using the constructed text analysis method to uncover the symbols and symbolic meanings in the sample literary works. Through the analysis of the sample poetic works, two categories of landscape symbols, natural and humanistic, are extracted, and the former is characterized by symbols such as “stream beach”, “shore tide”, “flowers and birds”, “fish and dragons”, etc. Fish and dragons” and other symbols, while the latter is represented by “city buildings” (0.11%), “boats” (0.41%), and “travelers” (0.59%). 0.59%). Five symbolic images are summarized, namely mountain climbing, hearing sounds in temples and monasteries, searching for antiquity in deep forests, boating in rivers and lakes, and fishing songs in idyllic gardens. The research in this paper explores a text-mining method for symbolism in literary works, which is conducive to the development of data-oriented and efficient analysis of literary works.
Exploring the Construction and Practice of Intelligent Teaching Environment for Civic and Political Education in Colleges and Universities
Authors: Chen Ying , Zhang Yingbo
Published: August 2024

In this paper, the basic framework of AI education is firstly constructed by combining educational AI technology, and then the technical architecture, including intelligent classroom, online learning platform, and interactive learning tools, is built based on the content of intelligent teaching environment of Civics education in colleges and universities. Then, we explored the students’ Civics learning under the intelligent teaching environment, analyzed the correlation between the Civics teaching effect and intelligent teaching, and investigated the influence of the intelligent teaching environment on the Civics teaching effect through a stepwise regression model. Intelligent teaching correlates with students’ learning interest, theoretical knowledge, professional ability, and learning attitude at the 5% level, with correlation coefficients of 0.798, 0.656, 0.712, and 0.553. In this study, theoretical references are provided for the integration of intelligent technology into Civics teaching.
Discrete Optimization Technology Helps Non-heritage Tourism Project Ecological Chain Construction Model Optimization
Authors: Huang Kirsty
Published: August 2024

The protection, inheritance, and innovation of non-heritage tourism projects need to find a suitable entry point so that more people can participate in the inheritance and innovation of non-heritage in order to promote the long-term stable development of non-heritage tourism projects. The article establishes the framework for the ecological chain of non-heritage tourism projects based on the cultural ecological chain and analyzes the problems that exist in the development process of the ecological chain of non-heritage tourism. The optimization of the ecological chain of non-heritage tourism projects is considered a dynamic multi-objective optimization problem, and a dynamic planning model for tourism paths is established. The tourism path dynamic planning model is solved using a two-stage parallel optimization ant colony algorithm and a two-stage heuristic algorithm based on the ant colony algorithm. A simulation experiment was conducted to analyze the data and evaluate the effectiveness of the algorithm. The results show that the DACS algorithm can solve the optimal path of the ecological chain of non-heritage tourism projects with an average gap value of GAP between [10.88% and 18.71%]. The IGD of the DACS algorithm in the dMOP test case varies within 0.005, the average running time of the DACS algorithm is 29.72s, and the maximum deviation rate between the optimal solution of the algorithm and the actual optimal solution is only 3.85%. The use of the DACS algorithm can optimize the ecological chain model of non-heritage tourism projects and help the healthy development of non-heritage tourism ecological chains.
Kinetic analysis of efficient energy conversion in table tennis sports
Authors: Qu Qingling , Gao Xiang , Zhang Jinqian
Published: August 2024

Improving the accuracy and stability of players’ stroke speed and stroke landing point and maximizing the energy conversion have become important tasks in table tennis skill practice. This paper analyzes the forces during ball collision and the energy conversion law of its motion state and proposes to measure and identify the key mechanical parameters of table tennis motion from the aspects of batting speed, rotation, and batting angle. The 3D coordinates of the ball are reconstructed, and the parameters are measured in the translational and rotational states of the ball, respectively. The UKF state estimator is used to construct the system process equations of the table tennis ball motion model, and the mathematical expressions are further derived to obtain the kinematic-based post-collision trajectory prediction model of the table tennis ball. The accuracy of the model in predicting the trajectory of the table tennis ball movement is evaluated by the distribution of the error points of the collision points of the table tennis ball, and it is known through experiments that the range of the error of the collision point prediction of the table tennis ball by the method used in this paper is in the range of (x±0.05, y±0.05) m, which is smaller than that estimated by the traditional table tennis ball physical model, and the model’s prediction accuracy is good. After analyzing the motion trajectories with different angular velocities, drag coefficients, initial velocities, and exit angles, the optimal hitting speed of a curved circle ball is obtained as V=15m/s.
Research on multidimensional impact assessment model of public cultural service facilities in Henan Province rural
Authors: Lou Xiaohong
Published: August 2024

The countryside plays a crucial role in constructing a robust socialist cultural nation, with rural public cultural facilities serving as the primary hub for public cultural activities and content. This paper utilizes each city and village in Henan Province as an example, with rural culture development serving as the primary research topic. The paper uses the influence of rural public cultural facilities as the main research index and constructs a relevant evaluation index system to assess their impact. Combine the subjective entropy value method and the objective hierarchical analysis method for the combination of weighting to judge the importance of the indicators. The TOPSIS method is employed to evaluate the complete impact, and the fuzzy set qualitative comparison method is employed to investigate the path of influence improvement. The government places greater importance on facility services and their social impact, and from 2015 to 2022, rural public cultural service facilities in Henan Province experienced a growth trend, transitioning from a risk level to a sensitive one. In addition, this paper proposes an influence strategy for rural public cultural service facilities. The consistency of the solution of the four combined paths is 0.997715, 0.97225, 0.97815, and 0.96524, all > 0.8, which illustrates that the influence factors such as resource construction, government intervention, and economic security will have a propelling effect on rural public cultural service facilities. It shows that influencing factors such as resource construction, government intervention, and economic security, all have the effect of promoting rural public cultural service facilities.
The integration path of new generation information technology and ideological and political education in colleges and universities
Authors: Tong Hui , Shi Chuanlin
Published: August 2024

As a representative of the new generation of information technology, reinforcement learning technology has received more and more attention, but no scholars have yet applied reinforcement learning recommendation technology to ideological and political education. In this paper, a diversity optimization recommendation algorithm for ideological and political education is constructed, and the vector representation model of the state is designed and optimized based on the Markov decision process. Through the actor-critic algorithm, to calculate the probability of recommendation sampling to generate a recommendation list and then establish a decision model in order to improve the ideological and political education recommendation algorithm on the user’s feedback of accurate judgement and recommendation decision-making effect. The experimental results show that the Diversity Opt performs well in terms of prediction error. The algorithm is ahead of the comparison algorithm by an average of 9.35% and 8.3%, respectively, and all other performances are also significantly better than the comparison algorithm. The average score of students’ performance in the experimental class applying the algorithm is 14.4 points higher than that of the control class. It shows that the recommendation algorithm helps to accurately recommend ideological and political education and exhibits beneficial practical effects.
Data-driven coordination of theoretical and practical education in higher education institutions
Authors: Wang Haiying , Liu Mingwei
Published: August 2024

It is an indisputable fact that there exists a non-integrated phenomenon between educational theory and practice, and educational theory and practice have the correlation of both interdependence and mutual deviation, so how to make the two coordinate and harmonize the development of the two has become a hotspot of the current research. In this paper, under the perspective of evidence-based education, we explore the coordinated development of the two, construct the coordinated index system of theoretical and practical education, and utilize the entropy weighting method to assign weights to the index system. Subsequently, taking School A as an example, the data-driven web crawler technology was utilized to obtain the relevant data, and the internal coordination level and future development trend of its theoretical and practical education were measured by the linear weighting method, the coupled coordination degree model, and the GM(1,1) model, respectively. The results show that the coupling coordination degree of its theoretical and practical education increases from 0.1489 in 2013 to 0.5609 in 2022, and although it maintains an upward posture, the overall values are lower than 0.6, and the coupling coordination level is low. In addition, the level of theory and practice education coordination is showing a continuous upward trend, with an average growth rate of 15.19%, but has shown a slowing trend. The coordinated and healthy development of theory and practice education in higher vocational colleges and universities can be realized from three aspects: enriching the form of theory and practice education activities, strengthening the atmosphere of theory and practice education, and school-enterprise cooperation.
Transparent Grid Visualization Surveillance and Fault Warning in High Density Distributed Power Access Areas
Authors: Zhou Zhongqiang , Xia Tian , Ma Jianwei , Liang Ling , Wan Huijiang
Published: August 2024

Transparent grid, as an advanced form of “Internet + smart energy”, is of great value in supporting energy transformation and promoting the development of new power systems. Based on the grid connection requirements of high-density distributed power supply, this paper provides specific grid connection methods and trend calculations and explores the impact of grid connection on high-density distributed power supply. Subsequently, the technical framework and blueprint of the transparent grid are proposed, combined with the grid visualization system to monitor the grid state visually, and based on the random matrix single-loop theory and ARIMA algorithm to realize fault identification and early warning of the transparent grid. The analysis of the algorithm shows that the fault identification has good rapidity, feasibility, and practicability, and while ensuring that no fault alarm is issued in the case of normal disturbance of distributed power supply, it is able to issue fault alarms for all locations and types of short-circuit faults in the system and determine the fault moment within 0.1s. It is “fast”, “accurate,” and “stable” in the research and judgment of active distribution network faults, and it is more intuitive in the assignment of risk levels, and it can identify the categories and levels of faults and realize the following Visualization of early warning.
Research on the application of cluster analysis in cross-border e-commerce customer segmentation and market strategy
Authors: Wang Xia , Cai Baoyu , Salleh Kalsom
Published: August 2024

E-commerce platforms are becoming increasingly competitive, and how to attract and retain users has become a problem that operators need to solve. The study improves the K-means clustering algorithm by introducing the concepts of mean sample distance and SSE and using the median to construct profile coefficients. Based on this, the user labels of cross-border e-commerce companies are selected, and clustering segmentation is performed after collecting the user data of Company T on cross-border e-commerce platforms to reveal the basic characteristics, purchasing preferences, and behavioral habits of different e-commerce users. A cross-border e-commerce marketing strategy based on customer segmentation has been formulated, and its effectiveness has been verified. Through clustering analysis, users are successfully classified into three types: high-value (4.01%), dynamic (7.35%), and growth (88.64%). After implementing the marketplace strategy, the sample companies gained significant growth in user growth, referral effect, and merchandise sales, as reflected in the number of first-buy users (63.46%), effective users (21.45%), ad click rate (18%~22%) and sales volume (166.43%). This study can help cross-border e-commerce enterprises better understand user needs and behavioral patterns and formulate more accurate marketing strategies to enhance their competitiveness and market share.