bluuebunny/crossref_metadata_2025 huggingface dataset:
Electrochemical Properties of Activated Carbon Electrodes for Supercapacitor Application: The Effect of Various Electrolyte Concentrations of Na2SO4
Authors: Rosi Memoria , Fatmizal M Nanang Ziad , Siburian Dedy Hendra , Ismardi Abrar , Abdullah Nor Hakimin
Published: June 2024

To achieve the high accomplishment of the supercapacitor, various electrolyte concentrations of Na2SO4 (0.5 M, 1 M, and 2 M) were added to the activated carbon (AC) electrode. The AC has a moderate surface area of 1,500 m2/g and a pore size of 1 nm (micropore scale). The AC electrode was deposited from the mixture of AC, carbon black, and polytetrafluoroethylene (PTFE) with a weight ratio of 8:1:1 using the doctor blade method. Cyclic Voltammetry (CV), Galvanostatic Charge Discharge (GCD), and Electrical Impedance Spectroscopy (EIS) were used to characterize the electrodes electrochemically. Based on CV, GCD, and EIS characterizations, the measured specific capacitance of 17.2 F/g and ESR of 4.4 W  exhibit the best performance due to their high ionic conductivity. We can conclude that 2 M Na2SO4 is a viable option for the ionic electrolyte of the microporous AC for the high performance of a supercapacitor.
Sintaksis Nyaru : Komposisi Musik Generatif dalam Ansambel Campuran
Authors: Dekti Gen Dekti , Tindaon Rosmegawaty , Warhat Zainal
Published: June 2024

Sintaksis Nyaru is an artificial musical composition that departs from the musical event of the Nyaru mantra in the Asyeik Pumbaru Jikat ritual as a natural composition grammar. The concept of the work of Sintaksis Nyaru is an elaboration of the construction of a musical hierarchy of mantras using a Generative Music system approach which is realized in the formation of a Mixed Ensemble. Overall, this composition offers two types of branching regarding the sequence of musical events, namely the right branch indicates retention and depending on memory, the left branch indicates retention and depends on expectation. The method of creating works is divided into three stages. The first stage determines the placement of Composition and Intuition Grammar. Second, form a Sequence of Events (Musical Works). Third, determine the structural description of the work. There are five parts (Arch Form) of the local structure consisting of part I (protention), part II (retention), part III (complexity), part IV (retention), part V (re-protection). The conclusion resulting from the psychological distance of the horizontal and vertical dimensions obtained from the attraction value of the global structure is 29,397 with the direction of relaxing movement.Keywords: Asyeik Ritual, Mantra Nyaru, Generative Music, Arch Form, Mixed Ensemble
Analisis Tokoh Tuan Durand dalam Naskah Kematian yang Direncanakan karya August Strinberg
Authors: Irianto Ikhsan Satria
Published: June 2024

Analisis tokoh Tuan Durand dalam naskah Kematian yang Direncanakan merupakan upaya penelusuran visi dramatik August Strinberg melalui tokoh Tuan Durand. Metode analisis yang digunakan adalah metode deskriptif analitik. Tahapan analisis yang dilakukan antara lain: analisis tokoh berdasarkan jenis kedudukan, analisis tokoh berdasarkan tipe perwatakan, analisis tokoh berdasarkan tipe perwatakan, analisis relasi antar tokoh dan analisis relasi tokoh dengan struktur naskah. Kesimpulan dari proses analisis ini adalah tokoh Tuan Durand adalah tokoh protagonis yang memiliki karakter yang kompleks.
Aspek Sosial dalam Pementasan Teater “Awak Tam Ong” oleh Kelompok Teater Kosong Aceh
Authors: Soeryana Dharminta
Published: June 2024

Drama “Awak Tam Ong” menarik diteliti karena berupaya memaknai situasi sosial, budaya, ekonomi, hukum, dan politik di tengah masyarakat terkait kehadiran para pendatang pasca tsunami di Aceh. Permasalahan yang diangkat dalam penelitian ini pertama, untuk mengetahui kondisi sosial historis pasca tsunami di Aceh yang mempengaruhi penciptaan naskah ATO. Kedua, mengetahui tema dan permasalan drama ATO. Penelitian ini menggunakan metode kualitatif dengan pengumpulan data melalui observasi, wawancara, dokumentasi. Selanjutnya data-data tersebut dianalisis dengan menggunakan teori struktur dan tekstur yang dirumuskan oleh George  Kernodle. Selanjutnya menggunakan pendekatan semiotika teater yang dirumuskan oleh Peirce tentang semiotika didasari pada logika, yakni bagaimana logika orang bernalar berdasarkan tanda-tanda berkaitan dengan objek-objek yang menyerupainya. Penelitian ini juga menggunakan  sosiologi teater yang dirumuskan Fortier tentang materialism Marxis tradisional.Hasil penelitian menunjukkan, bahwa (1) naskah ATO adalah garapan teater rakyat dengan sentuhan teater modern. (2) adanya penawaran agar memodifikasi pemulia jamee (memuliakan tamu) sebagai salah satu aplikasi budaya yang sesuai dengan perkembangan jaman tanpa menghilangkan nilai-nilai yang telah ada. (3) adanya usaha saling mempengaruhi antara kelompok Teater Kosong dengan masyarakat Aceh dalam proses penciptaan naskah ATO. (4) selain sebagai media hiburan, pementasan ATO juga media efektif sebagai ruang ekspresi dan komunikasi yang memuat unsur pendidikan (norma, historis, ekonomi, politik, dan religius), sarana pengembangan diri, pengembangan kemahiran bersosial dan berbudaya.Kata Kunci: Teater komedi, pendatang, kondisi sosial budaya dan politik
Analisis Gaya Permainan Biola Gili Karya L. Jaka Pratama
Authors: Dwimauly Shofia , Hermansyah Wawan
Published: June 2024

Penelitian ini bertujuan untuk mendeskripsikan hasil dari wawancara Gaya (style) permainan Biola pada lagu Gili karya L. Jaka Pratama sebagai bentuk Apresiasi terhadap pegiat seni musik lokal (daerah) yang diharapkan hasil dari pendekripsian tersebut dapat menjadi bahan pengembangan permainan Biola dan dapat menambah Ragam Gaya permainan Biola Nuasantara.Penelitian ini merupakan penelitian kualitatif. Objek penelitian ini adalah lagu berjudul Gili karya L. Jaka Pratama, sedangkan informannya yaitu L. Jaka Pratama. Penelitian difokuskan pada pendekripsian Gaya permainan biola beliau pada salah satu lagu dalam album Sound Of Fisherman yaitu Lagu Gili. Penelitian ini menunjukkan bahwa dalam lagu Gili karya L. Jaka Pratama terdapat beberapa macam gaya permainan biola yang meliputi gaya permainan tradisonal dan beberapa kombinasi gaya permainan modern.
COMPARATIVE ANALYSIS OF CRITICAL THINKING USINFG PROBLEM-BASED LEARNING (PBL) AND PREDICT OBSERVE EXPLAIN (POE) MODELS IN CELL MATERIAL
Authors: Pranoto Hendro
Published: June 2024

This study aims to examine the difference in critical thinking abilities using the Problem-Based Learning (PBL) and Predict-Observe-Explain (POE) models in the topic of cells. The research design employed in this study is quasi-experimental with a Nonequivalent Control Group design. The population in this research consists of two classes of XI IPA, totaling 60 students. Sampling was conducted using the Saturation sampling technique. The instrument used to measure critical thinking abilities was a set of ten essay-type questions. The average scores of pretest and posttest critical thinking abilities of students using the POE and PBL models were as follows, respectively: 54.83; 72.75 and 52.67; 78.83. The data results for critical thinking abilities across 5 indicators using the PBL and POE models were 79.90 and 71.50, respectively, categorized as high. The t-test results indicate that critical thinking abilities using the PBL model are superior to those using the POE model. The N-gain test results reveal that both models are equally effective in enhancing students' critical thinking abilities.
Environmental Ethnography
Authors: Burns Edgar
Published: June 2024

Environmental ethnography is discussed here from involvement with a local government authority in Aotearoa New Zealand focused on soil, water and land management. Climate change and environmental degradation are making such local government work more difficult and expensive. As costs trend upwards and new rules are applied, community challenges to local authorities increase. Environmental ethnography identifies constraints on the organisational ability to meet infrastructural needs to produce environmental solutions locally. Some constraints are internal (organisational), some are local (community beliefs and attitudes), but the most significant constraints are external to local agencies. In ethnographic terms, working with local and national environmental authorities is a process of learning from staff, scientists, and administrators. Māori and Pākehā communities’ efforts to manage their local destinies provide insights into pressures on local government organisations. Landowners’ expectations and politicised discourses of climate denial or deferral also constrain day-to-day local authority work. Three intersections of local authority organisations' actions and local communities’ responses emerge from reflecting on this ethnographic learning, each shaping what local authorities can achieve. First, the social is not another set of insights; rather, the social is in the science. Second, in Aotearoa New Zealand the familiar nature-society binary is usefully disturbed by mātauranga Māori understandings of people and the environment. Third, changing modern productivist attitudes towards the environment is more than local—it is national and global—yet people’s responses are also intensely local. Environmental ethnography helps illuminate such tensions that create organisational and community dilemmas for local government authorities.
Enhancing professional development and training through AI for personalized learning: a framework to engaging learners
Authors: Omar Zoel-Fazlee , Mior Harun Mior Harris , Mohd Ishar Nor Irvoni , Mustapha Nur Arfah , Ismail Zurina
Published: June 2024

This paper explores the transformative potential of AI-driven personalized learning in enhancing professional development and training programs. As the workforce landscape rapidly changes, the demand for tailored and engaging learning experiences has become increasingly evident. This paper presents a comprehensive framework that leverages artificial intelligence (AI) to determine suitable learning theories and strategies for individual learners, thus promoting higher learner engagement and skill acquisition. Through analysing learner data, preferences, and performance, AI algorithms enable the customization of training content, delivery methods, and assessment strategies. This study builds a design space with three axes to situate and position AI-Driven Personalized Learning in the larger research field of professional development and training. This paper presents a comprehensive review of existing literature using the PRISMA systematic review methodology to explore the transformative potential of AI-driven personalized learning on professional development and training. The analysis showcases the potential of AI-driven personalized learning to revolutionize the learning process, catering to individual learner needs, preferences, and pace. By embracing this framework, organizations can foster a culture of continuous learning, empowering professionals to thrive in a dynamic and evolving professional landscape.
Mujeres en la clandestinidad armada. Hechos y tendencias en la década de 1970
Authors: Rodríguez Kuri Ariel
Published: June 2024

El presente estudio aborda la participación de mujeres en los movimientos armados clandestinos mexicanos en la década de 1970, durante la llamada “Guerra Sucia”. Se estima la proporción de mujeres involucradas en las organizaciones clandestinas y se ofrecen puntos de comparación con otras experiencias del mismo periodo. Se establecen los orígenes geográficos y la escolaridad de las mujeres que optaron por la clandestinidad y la vía armada. Finalmente se presentan los números y proporciones de mujeres en las organizaciones armadas clandestinas más importantes. Los tres enfoques se acompañan de historias personales y la manera como éstas engarzan con los cálculos. Dos problemáticas son punto de partida del análisis: la discusión académica sobre la participación de mujeres en la violencia política moderna, y el impacto de la urbanización y aculturación acelerada en la creación de condiciones para esa violencia.
Pengukuran Rasio Keuangan untuk Menilai Abnormal Return Saham Pada Perusahaan yang Melakukan Penawaran Umum Perdana
Authors: Syafaqoh Rizki Zahroh , Sari Shinta Permata
Published: June 2024

Abnormal return saham merupakan selisih antara return sesungguhnya dikurangi return ekspektasian. Return realisasi adalah return yang telah terjadi, sedangkan return ekspektasian adalah return yang diharapkan oleh investor. Penelitian ini bertujuan untuk menganalisis pengaruh cash  ratio, debt to equity ratio, total asset turnover dan return on equity terhadap abnormal return saham pada perusahaan yang melakukan penawaran umum perdana (IPO) di Bursa Efek Indonesia tahun 2020-2022. Teknik pengambilan sampel yang digunakan pada penelitian ini adalah purposive sampling dan sebanyak 118 perusahaan telah memenuhi kriteria sebagai unit observasi. Metode analisis yang digunakan adalah regresi liniear berganda. Hasil penelitian memberikan bukti empiris bahwa debt to equity ratio dan return on equity berpengaruh terhadap abnormal return saham, sedangkan cash ratio dan total asset turnover tidak berpengaruh terhadap abnormal return saham.
Dijital teknolojilerin iş organizasyonlarındaki dönüşüme etkisi: Sosyal politika öğrencileri perspektifinden nitel bir araştırma
Authors: Salih Pınar
Published: June 2024

Bu araştırma, sosyal politika alanında eğitim gören lisansüstü öğrencilerin dijital teknolojilerin iş organizasyonları politikalarına uyumuna yönelik algısının incelenmesi amacını taşımaktadır. Keşfedici bir araştırma olması nedeniyle nitel araştırma yöntemlerinden biri olan derinlemesine görüşmeler tercih edilmiş, bu kapsamda Ankara il merkezinde sosyal politika alanında lisansüstü öğrenim gören 8 öğrenci ile yüz yüze görüşmeler yapılmıştır. Bulgulara göre, sosyal politika öğrencilerinin dijital teknolojilerin hem iş hem eğitim dünyasında olumlu sonuçları olduğu, ancak toplumsal yapıda sosyal ilişkilerin azalmasına neden olduğu, gizlilik ve güvenlik konusunda teknolojileri kullanma beceri eksikliğinin bir endişe oluşturduğu algılarına sahip oldukları sonuçlarına ulaşılmıştır. Söz konusu bulgular ile çalışma ve eğitim alanında beceri eksikliklerinin giderilmesine yönelik eğitimlerin önem kazandığı ortaya çıkmıştır. Buna yönelik olarak organizasyonel yapıların geliştirilmesinde maddi teşviklerin teknolojilerin işlere dâhil edilmesine katkı sağlayacağı düşünülmektedir.
Spit bar deposits from the Upper Cretaceous (Cenomanian) transgressive sequence in NE Bohemia (Czechia)
Authors: Chrząstek Alina , Wojewoda Jurand
Published: June 2024

We propose a spit bar setting as the possible palaeoenvironment of the basal Late Cretaceous transgressive sequence in NW Bohemia. A new Cenomanian transgression model for the Bohemian Basin is also proposed. The uppermost Devět Křížů Sandstone, which has been conventionally referred to the Bohdašín Formation, probably represents the middle or lower upper Cenomanian (Upper Cretaceous), not the Triassic as previously supposed. We assume that this controversial unit was deposited before the main latest Cenomanian–early Turonian transgression. The spit bars were likely overgrown by vascular plants during their emergence in the late Cenomanian, and then inundated during the latest Cenomanian and early Turonian transgressive phases. The studied deposits had been intensively bioturbated, and the cf. Taenidium suite was recognized for the first time in them alongside the Thalassinoides assemblage (T. paradoxicus, T. suevicus, Thalassinoides isp., cf. Thalassinoides), which are characteristic of the Scoyenia and Glossifungites ichnofacies, respectively. The bioturbated, rhizolith-bearing horizon was presumably a paleosol.
Measurement of nonlinear and Doppler distortion in Distributed Mode Loudspeakers
Authors: Czesak Karol , Kleczkowski Piotr
Published: June 2024

Distributed Mode Loudspeakers (DMLs), as other electroacoustic transducers with electrodynamic excitation, are susceptible to the occurrence of nonlinear distortion. The literature on nonlinear distortion in DMLs is scarce. The vibrations of the DML panel are very small in amplitude, thus the coil excursion of the exciter is low, which is a favorable condition for low nonlinear distortion. The scope of this paper covers investigation of harmonic and intermodulation distortion, occurring in the DML. The harmonic distortion was examined with two methods and the intermodulation distortion – with three, including one author’s proposed method. The result indicate, that nonlinear distortion in DMLs may be a bigger problem than those in diaphragm loudspeakers.
Meta-analysis of the Effect of Psychological Interventions on Investment Anxiety and Decision Quality in an Entrepreneurial Group of College Students
Authors: Fang Lina , Wang Yong
Published: June 2024

Depression and anxiety are relatively common psychological problems among college entrepreneurial groups, and the detection rate is increasing year by year, which seriously affects the life of college entrepreneurial groups. In this paper, we searched the International Journal Literature Database to obtain relevant research literature on the effects of psychological interventions on investment anxiety and decision-making quality in college entrepreneurial groups. The Cochrane Handbook of Risk Assessment was used to test the suitability of the literature for Meta-analysis, and the data from the studies in the literature were processed by heterogeneity test and combining the effect sizes, etc. Meta-analysis showed that psychological interventions only had a significant positive effect on the improvement of the investment anxiety scale of college entrepreneurial groups (SMD=-1.06), and the impact of Morita Therapy on investment anxiety was the most significant. At the same time, studies in the literature show that psychological intervention has a strong influence on the improvement of decision-making quality of college entrepreneurial groups, and the combined SMD value of the psychological intervention group and the control group is -1.39. This paper provides an effective theoretical basis for the improvement of investment anxiety and decision-making quality of college entrepreneurial groups. It lays a foundation for the effective development of programs for psychological intervention in colleges and universities.
A Study of Strategies for Integrating Faculty Professional Development and Blockchain Technology in Higher Education
Authors: Meng Xianglong
Published: June 2024

This paper is oriented to the integrated learning bill for college teachers and integrates blockchain technology to construct a high-security and credibility assessment system for college teachers’ professional competence development. Through similarity calculation and hierarchical clustering to form a dataset related to teachers’ professional competence, the TOPSIS-gray correlation analysis algorithm is used to assess the development of teachers’ professional competence tendencies. The teacher information is then transformed to finally form an information profile panel that can comprehensively characterize the development of college teachers’ professional competence, which is stored in the blockchain in the form of a learning bill. The single feature clustering results indicate that the majority of teachers are either good or above in every professional development evaluation feature, with excellent being above 30%. In the overall clustering, only 17.91% were labeled as excellent. In the teacher professional development assessment indicators, the reaction layer (34.9) and learning layer (33.6) have a greater impact on the professional development of teachers in higher education. The F-values of teachers in different subject areas in the overall test of teacher professional development did not reach a significant level (2.11, 0.24, 0.20, and 0.42, respectively). In the correlation test, blockchain technology was significantly and positively correlated with the quality of teachers’ professional development (p<0.05). The validity of the professional development assessment system for college teachers that incorporates blockchain technology is confirmed by this study.
Research on Change and Innovation of Quality Evaluation System of Ideological and Political Education in Contemporary Colleges and Universities-Based on CIPP Model
Authors: Wang Yan , Cao Yang
Published: June 2024

Civic and political education work in colleges and universities is a reform measure of human education put forward under the fundamental pursuit and urgent demand for human education in colleges and universities by the development of the country and society. The article first researches the relevant theories of the factor analysis method, completes the construction and step-by-step design of the factor analysis mathematical model of the evaluation index of Civic and Political Education, and further constructs the CIPP model. Finally, it takes the work of Civic and Political Education in School H as an empirical study. It tries to carry out a panoramic evaluation of it so as to improve and optimize the work of Civic and Political Education. The weights of the first-level components based on the CIPP evaluation model are in the following order: evaluation of practice teaching results (0.3814) > evaluation of practice teaching process (0.2834) > evaluation of practice teaching input (0.1735) > evaluation of practice teaching background (0.1590). The results of the application of the evaluation system fully proved the rationality of the indicators constructed in this paper, which can provide a basis for the reform and innovation of Civic and Political Education.
Application of Hierarchical Protection Security Mechanism in Database to Party Building in Colleges and Universities
Authors: Xue Jun
Published: June 2024

With the deepening of digital development, the security protection of databases becomes more important while carrying out the digital transformation of party-building work in colleges and universities. In this study, for the database security in the party building work in colleges and universities, the protection framework of database security protection and the database hierarchical protection system based on the party building work in colleges and universities are constructed according to the needs of data hierarchical security protection. Then, on the basis of the intrusion tolerance mechanism, a database security monitoring system is established using a voting algorithm, and a multilevel information access control method is proposed for hierarchical protection. On this basis, an encryption protection mechanism based on the RSA algorithm is proposed for the sensitive information in the database of university party-building work. Through the empirical analysis of the security mechanism of counterattack protection of the university party building database, it is known that the security of the system in this paper and the probability of normal operation are both greater than 99%, and the likelihood of danger is 0.000002%. In the application of party building work, the data security of the three kinds of business is still maintained above 99.6%. The encryption time consumed is not more than 525ms, which shows that the database hierarchical protection security mechanism system constructed in this paper can meet the requirements of database security in the party building work in colleges and universities and provide a reliable guarantee for the security of the party building work database.
Research on Risk Prediction of New Energy Photovoltaic Power Projects Oriented to Extreme Weather Conditions
Authors: Qiao Yanjun , Wang Zhijian , Yu Junfeng , Hao Shouli , Dong Zhengmao , Fan Ke
Published: June 2024

In light of the increasing frequency of extreme weather events—including persistent low temperatures, rain, snow, freezing conditions, and haze—globally, the vulnerability of photovoltaic (PV) power projects to severe weather has escalated. This study presents a comprehensive analysis of the current construction practices and associated risks of PV power projects. Subsequently, it introduces two innovative risk prediction models: the gray risk prediction model and the CEMD-LSTM risk prediction model, which is enhanced by an improved k-shape clustering algorithm. These models are specifically designed for assessing the risks of new energy PV power projects under extreme weather conditions. To validate the effectiveness of these models, simulation tests are conducted, offering insights into the risk dynamics of new energy PV power projects in adverse meteorological scenarios. The assessment results show that the absolute error of the prediction results of the gray prediction model is large. The absolute value of the absolute error reaches a maximum of 8.0×104 W. The fluctuation of the prediction value is huge, so it is not possible to accurately carry out the risk prediction. The values of MAPE and MSE of the CEMD-LSTM model are 3.26% and 0.21, respectively, and the rate of identification of the risk level of the CEMD-LSTM model is 98.25%, which is higher than 93.48% of the LSTM model. The CEMDLSTM model is capable of predicting the risk of PV power projects with accuracy, and the recognition accuracy of the risk level is superior to that of the LSTM model. This study provides lessons and references for risk prediction of PV power projects in extreme weather conditions.
Innovative Teaching Strategies for Civics Courses Facing Virtual Reality
Authors: Sun Songsong
Published: June 2024

This paper innovatively applies the teaching system integrating virtual reality and intelligent voice interaction to Civics classroom teaching. Using 3ds Max modeling, I can build a multimedia blackboard, code display table, characters, and other three-dimensional teaching models. Rendering optimization of the model and the scene is carried out to construct a real and rich teaching scene. Viterbi technology realizes the search of keywords in the speech through the process of continuous speech recognizer, keyword searcher, confidence confirmation, and keyword confirmation in order to discover intelligent voice interaction. The results of the Civics test, questionnaire, and structural modeling show that there is a significant difference between the experimental group’s performance and the control group in terms of the total performance (T=2.367, P=0.032), the vividness and intuition of the teaching content (X²=5.743, P=0.022) and the cognitive load (T=0.78, P=0.000<0.05). For all dimensions, the immersive VR environment scored higher than the interactive VR environment. The p-values of perceived usefulness and want-to-use attitude are 0.022 and 0.024, respectively. Based on this, the Civics teaching system of virtual reality and intelligent voice interaction can effectively improve students’ performance, classroom satisfaction, and acceptance.
The Application of Digital Technology in the Conservation of Traditional Cultural Landscapes
Authors: Xiong Shuhui , Xie Meiling , Xu Yi
Published: June 2024

The traditional digital protection system lacks the extraction and display of the landscape based on spatial information technology, resulting in an incomplete digital archive of the conventional landscape constructed. To optimize the traditional cultural landscape protection strategy, this paper constructs a specific technical route using digital technology. Inclined photogrammetry and 3D laser scanning technology are used to carry out 3D modeling of regional traditional cultural landscapes, and the combination of the results of the two can be used to visualize the spatial layout of the landscape in the protection of traditional cultural landscapes. Based on the 3D model, the landscape space was analyzed using spatial syntax. According to the spatial syntax, the integration degree, clustering coefficient, control degree, and average depth of the sight line of the landscape in City D were analyzed. The comprehensibility value of the landscape space in City D was 0.26, and the landscape identifiability was not high. The development of overall space and local space is inconsistent, and the ratio of global integration degree to local integration degree, R², is 0.45, with a low value and average correlation. By analyzing the specific situation of the landscape and constructing the resistance surface, we examine the various resistance factors faced by the protection of traditional cultural landscapes. The analysis results indicate that rural roads and settlements are more suitable for the construction of cultural landscapes.
Research on the Dissemination Strategies of Traditional Culture in Anime Illustrations and Picture Books - Based on the Application of Information Diffusion Models
Authors: Zhang Wangzhe , Chen Min
Published: June 2024

Animation illustrations and picture books themed on traditional culture play a crucial role in its dissemination. This paper analyzes the present scenario of traditional cultural transmission via these mediums and introduces an information diffusion model as the theoretical framework for subsequent questionnaire design and analysis. The model incorporates the theory of network dimensional force and information diffusion resistance to depict the diffusion process within cyberspace, accounting for the constraints imposed by information resistance. This results in a model that accurately mirrors the realities of the network environment. The study further examines the velocity and distortion in information diffusion, exploring the model’s diffusion scale and laws. In assessing the diffusion effectiveness through a questionnaire on cartoon illustrations and picture books, findings indicate a moderate inclination towards purchases, with average willingness and mean purchase values at 3.32 and 3.35, respectively. The analysis reveals that the pivotal factors affecting dissemination include content knowledge, thematic significance, and channel preferences, all scoring an average of 4 in terms of mean and median values. However, the overall satisfaction with the dissemination of traditional culture remains moderate among respondents. To enhance the dissemination effectiveness, it is imperative to advance the construction of conventional cartoon-quality illustrations and picture books, thereby fostering a more robust propagation of traditional culture.
Construction of a forecasting model for tourist attraction footfall
Authors: Cui Jianfeng , Li Yun , Li Cuixia
Published: June 2024

The accurate prediction of visitor flow in tourist attractions presents a significant challenge within the tourism industry and holds substantial reference value for both park management and tourist experiences. Addressing this, our study develops a predictive model specifically tailored to tourist sites using trajectory data. Recognizing the limitations of current algorithms in identifying accurate stay regions, we utilize a segmentation method predicated on change points. This approach integrates a Back Propagation (BP) neural network with the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm to enhance the precision of stay region identification. Building upon this foundation, we further incorporate Gaussian fitting techniques to construct a comprehensive crowd prediction model for tourist attractions. The research results verify that the model in this paper can estimate the passenger flow better by predicting the passenger flow of Zhongshan Park in city A. It is found that when the passenger flow is below 15000, the passenger flow is less. When the passenger flow is larger in the range of 15000~30000, and when the passenger flow is more than 30000, it will be saturated and crowded, and the model constructed in this paper has a more accurate passenger flow. The model built in this paper has a high accuracy of people flow prediction value.
Relationship between athlete performance and training load in martial arts sparring: based on a gray rule model
Authors: Fu Zhongsheng
Published: June 2024

Wushu sparring is an important part of Chinese multi-sports, and the athletic performance of wushu sparring athletes has a crucial role in Chinese wushu sparring performance. In this paper, the relationship between athletes’ performance and the training load of wushu sparring athletes was investigated using gray correlation analysis, with wushu sparring athletes as the research object. According to the relevant standards to establish and determine the objective indicators to measure the performance of wushu sparring athletes, at the same time, the group of athletes with different intensity training experiments, the use of gray correlation analysis based on the data obtained from the training to calculate the gray correlation between the athlete’s performance and their training load, and as a basis for the establishment of the gray rule model through the GM (1, 1) algorithm. The relationship between training load and athlete performance was evaluated to correlate up to 0.975, and the algorithm’s model was 88% accurate in predicting athlete performance based on training intensity. The study of the relationship between training load and athletes’ performance can aid wushu sparring athletes in rationally scheduling their training intensity, which is crucial for the development of Chinese wushu sparring.
Analysis of Influencing Factors on the Improvement of Employment Quality of College Students in Private Colleges and Universities - Based on SEM Model
Authors: Li Fangyuan
Published: June 2024

The increasing number of graduates from private colleges and universities creates a great challenge to analyze the factors influencing the employment of graduates and to improve the quality. Based on the structural equation SEM model and combining the data of graduates of private colleges and universities in a city, this paper integrates and selects the factors influencing the employment quality of graduates of private colleges and universities. An evaluation model for the employment quality of graduated students has been established through the LSTM network to further study the degree of influence of each influential factor on graduates’ employment quality. In order to deal with the bidirectional dependence of time series data while considering the inputs before and after the current moment, this paper adds the reverse LSTM layer on top of the LSTM network to form a BiLSTM network, which better captures the correlation between the influencing factors. In the research process, it was found that, except for the first selected factor of graduates’ destination, which needs to be eliminated, the other six influencing factors passed the reliability and validity test and could make the model have a good fitting-out effect. In the algorithm analysis, it was found that the running accuracy of the BiLSTM network could reach 97.01% at the maximum. In comparison, the running accuracy of the LSTM network could only get 91.03% at the maximum.BiLSTM network is more outstanding than the LSTM network both in accuracy and stability.
A Study on the Application of Multi-sensory Interaction Technology in Enhancing Concert Audience Immersion
Authors: Li Feng
Published: June 2024

The progress of multi-sensory interaction technology provides technical support for creating immersive concerts full of participation and experience. Based on multi-sensory interaction technology, this study proposes the design idea of immersive concerts and outlines the application process of multi-sensory interaction technology in immersive concerts. It builds a concert virtual reality scene through emotion recognition and evocation in the virtual reality scene, designs a gesture interaction interface based on immersive flow field visualization, realizes the construction of an immersive concert, and carries out application evaluation. The model's emotion recognition rate is as high as 93.04%, and after the resting state adjustment, the subjects’ pleasantness and arousal are on the rise, and the ability to evoke emotions is consistent with the expectation. The experimental expectations were met as the mean values of realism and immersion scores were not below 7.6. The percentage of user agreement for clicking and pinching gestures is concentrated in rank 4 and rank 3, and the percentage of voting for comfort is concentrated in rank 2 and reaches 96% and 91%, respectively, which can meet the interaction needs of immersive concerts. This paper presents technical ideas for using multisensory interaction technology in immersive concerts.
The Development Trend of English Instant Translation Software in the Background of Mobile Internet
Authors: Gao Lili , Ma Yingjie , Ma Pengxiao
Published: June 2024

With the continuous development of the Internet industry, the function and technology of instant translation software can be continuously improved. This paper takes the machine translation model based on neural networks as the research basis and proposes a translation model suitable for the use of English instant translation software. Through word vector transformation, natural language is transformed into digitized symbols, and the n -gram model is used to improve the fluency of the processing. Using the neural probabilistic language model, the conditional probability of language processing is calculated. Introduce a recurrent neural network and optimize and adjust it based on the original model. Design the model framework for instant translation software for a series of operations, such as language signal processing. The case study revealed the factors that influenced users’ experience of using the software and their expectations of the instant translation software. The results show that the OR estimate of users’ satisfaction is 3.1655, and a one-unit increase in satisfaction will increase the advantage of instant translation software by 3.17 times. The error rate of translation software, as well as the learning cycle, have different degrees of influence on the advantage of the software. The period 2001-2022 was chosen as the study period, and the number of published patents for instant translation software research was examined. The overall trend during the study period showed a gradual increase. The number of patent publications increased by 40.9% to 62 in 2017, compared to the previous year. Instant translation software's future development trend is positive.
Research on animation performance based on virtual reality technology
Authors: Ma Xiaojing
Published: June 2024

In this study, we utilize the acquisition device from Open Pose to capture the joint points of human posture. Subsequent to data collection, each joint point undergoes a coordinate regularization process, using the neck coordinates as a reference, to derive human skeleton data. This processed data facilitates the extraction of angles and relative distances among all human body limbs, effectively capturing characteristic feature information. This information is subsequently imported into the Iclone software, where it is refined using a fitting tool to develop a bespoke character model. Following the character's construction, the study leverages NURBS curve modeling and Polygon polygon modeling technologies within the 3D software MAYA to achieve precise scene modeling. This approach culminates in the production of an animated performance that integrates virtual reality technology, with its effects thoroughly analyzed. During Action A, the animation method developed in this study yielded an average running frame rate of 96.54 frames per second, and the average texture size was 6.39 MB. These metrics significantly surpass those achieved by comparative methods. Moreover, the efficiency of animation scene production in this study (0.134339 seconds) substantially exceeds that of the control method (0.273984 seconds), thereby enhancing the level of animation design technology and presenting a more lifelike 3D virtual animation.
Strategies for Applying BOPPPS Model Supported by Intelligent Algorithms in Blended Teaching of College English
Authors: Ou Yi
Published: June 2024

Artificial intelligence technology is increasingly being employed within educational contexts, markedly enhancing the dynamics of instruction through the integration of intelligent algorithms. This study endeavors to revitalize the BOPPPS model in blended college English teaching by amalgamating it with the Bayesian knowledge tracking model and a reinforcement learning algorithm. The objective is to establish a refined, blended teaching framework based on the BOPPPS model and to investigate its efficacy along with the variables that influence its outcomes. The findings affirm a positive correlation between the effectiveness of blended English teaching at the university level and the student's cognitive abilities, skillsets, and affective attitudes, with all p-values demonstrating significance at the 0.001 level. Comparative analysis of pre-and post-test data from the blended teaching experiment revealed no initial significant differences between the experimental and control groups across six dimensions of English proficiency and five dimensions of interest in learning English. However, post-experiment results indicated substantial enhancements in the experimental group's overall English scores, listening, reading comprehension, writing, translation, and speaking abilities relative to the control group, with p-values falling below 0.05. Additionally, the p-values for the paired sample tests concerning the dimensions of interest in learning English in both groups were also below 0.05. These results suggest that blended English teaching at the university level not only significantly boosts students’ performance in English but also augments their interest in the language. This study underscores the potential of integrated teaching models that incorporate AI-driven algorithms to significantly enhance educational outcomes.
Exploring the development of athletic interests of students in physical education colleges and universities based on cluster analysis: physical education athletic training
Authors: Su Lulu , Zhang Tengyu
Published: June 2024

Sports interest is the internal motivation for students in physical education colleges and universities to participate in sports training enthusiastically. Based on the definition of fuzzy set and fuzzy clustering uncertainty measure, this paper utilizes the fuzzy C-mean clustering algorithm to evaluate and analyze students’ athletic training performance data by clustering, and based on the results of the analysis, it formulates the physical education teaching program based on the development of students’ athletic interest. At the same time, taking the physical education course of grade 2022 in College Q as an example, the IPA quadrant diagram was used to analyze the ‘importance-satisfaction’ of physical education teaching. The results showed that in the IPA quadrant, the five factors of teachers’ professional quality [4.89,4.13], teachers’ ability to explain [4.56,4.16], mastery of movement [4.64,4.03], novel content of teaching materials [4.46,3.99] and good image of the teacher [4.42,4.19] were in the region of high importance-satisfaction, which indicated that the continuation of these factors could improve students’ satisfaction of physical education teaching. The role can increase students’ interest in sports and overall satisfaction with physical education sports training. From the side, it verifies the feasibility of the teaching strategy proposed in this paper. It provides data support for the in-depth implementation of quality education and the cultivation of moral, intellectual, physical, and aesthetic talents of all-round development.
Construction of Ideological and Political Education Innovation Mechanism in the Era of Big Data - Based on Data Analysis Methods
Authors: Sun Haitao
Published: June 2024

In the era of big data, the constantly innovative technology provides a new model for the development of ideological and political education. In this paper, on the basis of the data mining process, regression analysis and clustering algorithms are used to construct a visual analysis model of ideological and political education data in order to better provide teachers with more information about students’ data and explore the factors influencing ideological and political education. On this basis, an innovative mechanism for ideological and political education has been constructed, and the Introduction to International Politics course at X University of G Province is used as an example to analyze its effectiveness. The results show that there is a significant difference between the two groups, except that there is no significant difference in the overall learning motivation level (p=0.241>0.05). Compared with the pre-test, students in Group A showed a small downward trend in national identity, learning motivation, academic level, and its sub-dimensions as a whole (0.028-0.162). In contrast, Group B showed an upward trend, with an enhancement of between 0.134 and 0.352. The adopted innovative mechanism of ideological and political education can significantly improve students’ national identity and academic level in all aspects and effectively stimulate students’ endogenous learning motivation.
Exploring the Influencing Factors of English Classroom Teaching Quality in Colleges and Universities Based on Structural Equation Modeling
Authors: Wei Fang , Lv Meiqin
Published: June 2024

With the acceleration of globalization, the teaching quality of English, as an important tool for international communication, is getting more and more attention. In order to explore ways to improve the quality of English classroom teaching, this paper combines the characteristics of English classroom teaching in colleges and universities. It summarizes the structure of STEP influencing elements of English classroom teaching quality in colleges and universities based on teaching objectives and resource constraints. Then, taking X school as an example, the influence dimension structure of English classroom teaching quality in colleges and universities was mathematically analyzed and empirically examined using normality test, factor analysis, and least squares structural equation modeling (PLS-SEM). The results of the study show that the standardized path coefficients of teaching atmosphere and process on students’ competence and students’ competence on the quality of teaching in English classroom are 0.985 and 0.818, respectively, which passed the test of significance at the level of 1%. The post-standardized path coefficients of teaching atmosphere and process on students’ ability, students’ ability on teachers’ ability, and teachers’ ability on the quality of teaching in English classroom are 0.222, 0.674, and 0.073, respectively, and all of them passed the significance test on level 5%. Teaching English in classrooms in colleges and universities involves the interaction between teachers’ and students’ behaviors, as well as the integration of teaching and learning resources. The improvement of the quality of English classroom teaching in colleges and universities should pay more attention to the management and control of the process of how to realize the integration of teaching resources on the basis of students’ ability and teachers’ abilities.