bluuebunny/crossref_metadata_2025 huggingface dataset:
Risk Factors for Short Stature Among Children Aged 0-24 Months in Surakarta
Authors: Irving Steven , Rezkita Bastomy Eka , Indah Sagitaisna Putri  , Nugroho Hari Wahyu , Neny Ariyana Usman
Published: November 2023

Abstract—This study aims to to examine the risk factors of stunting children aged 0-24 months in Surakata in order to prevent stunting as early as possible. This research was an observational with a cross-sectional study design.  This research was conducted in several Integrated Health Post (Posyandu) under the guidance of Sangkrah Health Care, Nusukan Health Care, Pucang Sawit Health Care, Penumping Health Care, and Jayengan Health Care in September- October 2018. Sampling was conducted by by consecutive sampling method.  Baby’s body length was measured with an infantometer. Risk factors were obtained through interviews using questionares on mothers. Data analysis was conducted using SPSS version 23 with bivariate test (multiple logistic regression). The total correspondents were 139 samples with 128 samples met the inclusion and exclusion criteria. Bivariate analysis results showed a significant relationship between stunting and risk factors for low birth weight, premature baby, and short maternal height. Multivariate analysis showed that the short mother’s height factor was the most dominant factor influencing stunting. Short maternal stature (height<145cmm) is the most dominant factor influencing stunting in children aged 0-24 months in Surakarta City.

Keywords: short stature, risk factors

Abstrak—Penelitian ini bertujuan meneliti faktor risiko perawakan pendek pada anak usia 0-24 bulan di Kota Surakarta agar dapat mencegah terjadinya perawakan pendek sedini mungkin. Penelitian ini bersifat observasional dengan desain studi cross sectional. Penelitian ini dilakukan di beberapa Posyandu Balita Binaan Puskesmas Sangkrah, Puskesmas Nusukan, Puskesmas Pucang Sawit, Puskesmas Penumping, dan Puskesmas Jayengan pada bulan September – Oktober 2018. Pengambilan sampel dilakukan dengan metode consecutive sampling. Pengukuran panjang badan bayi dilakukan dengan infantometer. Faktor risiko didapatkan melalui wawancara menggunakan kuesioner pada ibu. Analisis data dilakukan menggunakan SPSS versi 23 dengan uji bivariat (uji Chi-Square dan uji Fisher-exact), dan uji multivariat (regresi logistik berganda). Total responden adalah 139 sampel dengan 128 sampel yang memenuhi kriteria inklusi dan eksklusi. Hasil Analisis Bivariat menunjukkan adanya hubungan yang signifikan secara statistik antara perawakan pendek dengan faktor risiko berat badan lahir rendah, umur kehamilan prematur, dan tinggi badan ibu pendek. Hasil Analisis Multivariat menunjukkan bahwa faktor tinggi badan ibu pendek menjadi faktor yang paling dominan mempengaruhi perawakan pendek. Tinggi badan ibu pendek (tinggi<145 cm) merupakan faktor yang paling dominan memengaruhi perawakan pendek pada anak usia 0-24 bulan di Kota Surakarta.

Kata kunci: perawakan pendek, faktor risiko
Evolución histórica y modernas tendencias normativas del derecho agrario contemporáneo comunitario y español
Authors: Amat Llombart Pablo
Published: November 2023

Estudio y análisis de la evolución histórica del vigente derecho agrario, a nivel comunitario, español y de la Comunidad Autónoma Valenciana. El trabajo contiene un completo y exhaustivo estudio sistemático de los principales ámbitos de desarrollo de la legislación agraria aplicable en la actualidad, ordenados en atención a criterios materiales y de jerarquía normativa. Se plantean y analizan las principales tendencias de política legislativa detectadas en el derecho agrario contemporáneo, incluyendo propuestas de reforma y mejora de la normativa con vistas a futuras regulaciones de la materia.
Biodegradable Polymer Composite Based on Polyvinyl Chloride and Poly (Ethylene-Vinyl Acetate) Waste
Authors: ALEXANDRESCU Laurenţia , GEORGESCU Mihai , SÖNMEZ Maria , NIȚUICĂ Mihaela , STELESCU Maria-Daniela , GURĂU Dana
Published: November 2023

This paper presents experiments on developing and characterizing biodegradable polymer composites based on polyvinyl chloride and expanded poly(ethylene vinyl acetate) (EVA) post-consumer waste. This type of waste is a thermoplastic material collected from the footwear industry, residues from the production of outer and intermediate soles and used footwear. It is used due to its shock absorption properties and low density (0.6-0.8 g/cm3). To make these products, EVA is injected into molds, a process that generates waste that cannot be reused. In this paper, a method of EVA waste recovery is presented and the possibility of developing a recycled product is investigated. Expanded EVA waste is cryogenically ground to sizes of min. 500 nm, functionalized by a mechanical process at temperature with polydimethylsiloxane (PDMS) and mixed in the composite in various proportions (10, 20, 50%). This composite will be made into a low-density product, with low cost, recovery and reuse of waste, and last but not least, biodegradable. The methodology for making the new materials involves the following steps: sorting waste, grinding, functionalization and compounding. These operations are easy to manage and do not involve new equipment. Compounding, the most important operation, will be performed on an extruder-granulator. The experimented biodegradable composites were physico-mechanically characterized. Waste transformation (ground and functionalized) into new value-added products will lead to remarkable improvements in the life cycle of raw materials and the sustainable use of this waste, contributing to sustainability, improving eco-efficiency and economic efficiency and reducing the “pressure” of waste on the environment.
Expert Examination of Leather in International Trade: Ukrainian Experience
Authors: KARAVAYEV Taras , MOKROUSOVA Olena , YAZVINSKA Kateryna , ZHALDAK Maryna , TKACHUK Valentyna
Published: November 2023

In the article the state of the market, volumes of export and import of leather are analyzed. The procedure of leather identification expert examination for customs purposes in international trade is showed. Identification expert examination of leather was carried out and its results were issued for customs purposes. The code of leather according to the Harmonized Commodity Description and Coding System (HS) and the Ukrainian Classification of Goods for Foreign Economic Activity (UСGFEA) is defined based on the results of identification expert examination.
Investigation of the Effectiveness of Plantar Pressure Redistribution of Customized Insole Structure Designed Based on Plantar Structure
Authors: LI Shunxun , SUN Yichun , ZHOU Jin , XU Bo , YAO Zhifeng , LI Wei
Published: November 2023

Although both fabricated insoles and customized insoles were designed with varied function components, current knowledge approved that customized insoles worked much better. However, how the customized insoles achieved a better performance in term of load re-distribution was still lacking quantitative assessment. The aim was to determine whether the customized insole structure based on a novel customization procedure proposed in this study performs better than the prefabricated insoles in terms of plantar pressure re-distribution efficiency. This study included ten healthy subjects, each wearing four types of insoles accordingly (control insoles; arch support insoles; orthotic insoles; customized insoles), and plantar pressure was collected in a walking state. The custom insoles are made by determining the subject’s plantar surface and key plantar points, then following the customization procedure to finish them. The plantar area was divided into eight zones and then a pressure transfer algorithm was used to gain insight into the plantar pressure. Compared to the control group insoles, the arch support of the customized insoles reduced pressure in the hallux region and transferred pressure from the M4-5 to the MH and LH regions, while the metatarsal pad enhanced the pressure transfer in the mid-foot, and the anterior-posterior height difference of the insole plays a role in pressure transfer. Furthermore, the customized insoles performed close to the professional orthotic insoles. Design strategy with accurate insole’s component location and reasonably plantar surface matching, our customized insole demonstrated advantages such as a better loading redistribution and significant pressure relieving on the forefoot.
Production of Elastic Leathers from Horse Raw Material Using Activated Aqueous Solutions of Agent
Authors: DANYLKOVYCH Anatolii , ROMANIUK Oksana , NADOPTA Tetiana
Published: November 2023

A step-by-step technology of formation of leather material made of horse raw materials using electrochemically activated aqueous solutions of chemical agents has been developed. Effective implementation of the leather raw material soaking process has been established due to the use of the optimal ratio of catholyte and anolyte. At the same time, environmentally hazardous agents are excluded from the process and its duration is reduced by two times compared to the current technology. The use of working solutions at the stages of liming and tanning with the use of catholyte and anolyte respectively, ensures the exclusion of environmentally hazardous chemical agents and the reduction of the processes duration. The developed technology of production of leather materials, unlike the existing ones, is characterized by simultaneous treatment of all anatomical areas of the hide.
Influence of Atmospheric Conditions on the Polymer Composite Based on NBR Rubber and Functionalized Protein Waste
Authors: NIŢUICĂ (VÎLSAN) Mihaela , SÖNMEZ Maria , GEORGESCU Mihai , STELESCU Maria Daniela , GURĂU Dana , RUSU Bogdan Florin , DUMITRU Andrei , BĂRBULESCU Constantin-Vlad
Published: November 2023

Technology has progressed a lot in the last 20 years, today it is possible to obtain new polymer composites that show performance properties. The ever-increasing demand for new high-performance materials has determined the appearance of new polymer structures based on elastomers and various wastes (protein, cellulosic, elastomeric, etc.) from various fields (shoes, leather goods, etc.). This paper describes the obtaining and characterization of polymer composites based on NBR rubber (butadiene-co-acrylonitrile) and protein waste from the footwear and leather goods industry, cryogenically ground to micrometric dimensions and modified with PDMS (polydimethyl siloxane). PDMS has the role of a plasticizer, but at the same time it improves the dispersion of protein waste mixed in the polymer matrix. The polymer composites were obtained by the mixing technique and tested from a physical-mechanical point of view according to the standards in force. The characterization in normal condition and accelerated aging at 70°C for 168 h (it was carried out hot, using the hot air circulation oven method) was carried out after the samples were subjected to conditioning for 24 h at ambient temperature. Also, the polymer composite samples were subjected for 365 days to atmospheric conditions (sun, rain, wind, hail, light, etc.) to see their influence on the properties of the obtained polymer composites.
Personal Design, the New Fashion Trend with Applications of Innovative Technologies
Authors: FOIAȘI Traian , PANTAZI-BĂJENARU Mirela , GURĂU Dana
Published: November 2023

The development of 3D technology has brought opportunities and challenges to the shoe industry, as people’s living standards have improved due to economic development, and people have increasing requirements for shoe design. They have become more critical, active and informed. They pursue customized products/services and like to be involved in the design process. Additive manufacturing technologies enable this customization of products and new business models should embrace these trends to differentiate themselves and gain competitive advantage. The application of 3D technology is widespread in various fields, including footwear production. From a physical model, it is possible to create a digital model using 3D scanning technology for redesign purposes. The use of 3D printing technology can enable faster modeling of footwear products, enrich the shape of footwear and meet the aesthetic needs of footwear designers. Therefore, the article studies and analyzes the top technologies in fashion, 3D shoe printing technology.
Dermatophytosis is uncommon in asymptomatic wild eastern cottontail rabbits in Illinois, Midwestern United States
Authors: Meadows Siobhan N. A. , Souza Clarissa P. , Sander Samantha J.
Published: November 2023

OBJECTIVE

To investigate the presence of dermatophytes on the haircoat of wild eastern cottontail rabbits (ECR) (Sylvilagus floridanus) with and without skin lesions.

ANIMALS

2-week-old or older ECR admitted to a Wildlife Medical Clinic (WMC) in central Illinois, Midwest United States, from September 2021 to August 2022.

METHODS

ECR were surveyed over a 1-year period to assess the prevalence and seasonality of dermatophytosis. A Wood's lamp exam was performed over the haircoat. Hairs were sampled with a sterile toothbrush and plated on Sabouraud dextrose agar. The plates were photographed twice weekly for 3 weeks, and colonies were identified as contaminants or dermatophytes.

RESULTS

523 ECR were admitted to WMC, 141 ECR met the age inclusion criteria, and 121 samples were plated. ECR presented as a litter were sampled together. None of the sampled ECR presented skin lesions other than acute traumatic wounds. No fluorescence was observed on any ECR during the Wood's lamp examination. Based on culture colony morphology, 115/121 of the samples were identified as contaminants and no growth was observed in 6/121 of plates. Dermatophytes' colonies were not identified on any of the culture plates.

CLINICAL RELEVANCE

Dermatophytes are zoonotic fungi and can potentially be carried by wild animals. The fungal infection poses a health concern to humans and domestic pets through direct interaction. Our current results suggest that dermatophytosis may not be prevalent in asymptomatic wild rabbits in the studied areas of the Midwestern United States.
A Perceptual Machine Model Based Approach to Recommending Online Learning Resources
Authors: Yu Weiyan
Published: November 2023

The bias values of various learning resources are computed using neuron excitation functions based on the perceptual machine model in this paper. Each learning sample is calculated using the weight vector value of each layer in the learning resources. The difference between the output result of the network and the expected value is calculated and converted into the minimum value of the loss function for solving the normalized processing of the weight matrix of the learning resources. It is found that the average square root error in the online learning resources is 0.0897, the decreasing rate is 35.28% compared with the empirical mixing method, and the bias of the online resource recommendation model is 0.2453, which indicates that the proposed model can learn the mixing weight matrix more quickly and obtain a better mixing analysis field for more accurate and personalized learning resource recommendation.
The effect of parental psychological capital on young children’s social skills based on structural equation modelling
Authors: Cai Wenmin , Yao Hao
Published: November 2023

This paper first establishes a structural equation model to reflect the relationship between latent variables and analyzes the influence of parents' psychological capital on children's social skills in four dimensions. The partial least squares regression is applied to the component data, and a new modified weighted symbol weight sum is proposed to obtain the estimated value of the latent variable and the modified weighted symbol weight sum makes the model fit better. The results show that the average values in urban areas are 3.77, 3.60, 3.20 and 4.15, all higher than those in rural areas. It shows regional differences in the influence of parents' psychological capital on children's social skills, and urban children have the strongest social interaction abilities.
Applying Historical Measurement Methods to Study the Interaction between Cultural Identity and Historical Development
Authors: Kang Wanying
Published: November 2023

This paper aims to explore the correlation and influencing factors between cultural identity and historical development using the historiometric method. Meanwhile, a genetic algorithm is used to collect historical data and quantitative indicators of cultural identity, which is then combined to construct a mathematical model of historical development and cultural identity. The optimization of the model involves using genetic algorithms to find the best match and optimal solution. The historical measures score up to 9.5 due to the significant impact of cultural identity on historical development. This study provides new methods and perspectives for a deeper understanding of the interaction between cultural identity and historical development and is of great significance in promoting the development of historical research and cultural identity research.
The Integration Strategy of Vocal Music Teaching and Traditional Music Culture in Colleges and Universities under the Background of Big Data Informatisation
Authors: Shi Hongqiang
Published: November 2023

This paper first determines the emotional, melodic, and structural characteristics through non-negative matrix decomposition and graph network theory to enhance students’ cognition and understanding of traditional music culture and to pass on and carry forward traditional music culture. Utilizing the RBF algorithm to integrate the elements of traditional music culture characteristics into efficient music teaching, forming a one-piece interactive teaching method. Utilizing the large database module for teaching and deep learning of learners can create a good college vocal music teaching loop. The student interest rate in traditional instrumental music teaching classes under the proposed method is increased to 98.98%, providing a solid foundation for integrating college vocal music teaching and traditional music culture.
Optimisation Path of Human Resource Performance Management in Universities Based on Big Data in the Era of Digital Economy
Authors: Hu Lisheng , Zhang Yuanyuan
Published: November 2023

This paper aims to create a digital platform that uses big data to manage HR performance. Firstly, the FCM algorithm transforms the dataset according to its affiliation degree and constructs a new database. An objective function is established to optimize the classification of organizational information using the correlation between data. Finally, the AHP algorithm is introduced to set indicator weights and factor sets, making the assessment results more hierarchical. The results show that the management platform system constructed in this paper operates stably, keeping the departure rate of university staff at about 5%, and 92% of students believe that the platform can improve teachers’ teaching quality. This shows that big data technology optimizes human resources management in colleges and universities.
Characteristics of teaching English and American literature based on multimodality under language acquisition theory
Authors: Guan Yanjun
Published: November 2023

First, This paper constructs a multimodal teaching model based on teaching contents, activities, learning environment and learning means and examines measures to illustrate teaching English and American literature under language acquisition theory. Secondly, it uses Fourier transform and discrete cosine transform to preprocess audio signals, extracts emotional features from MFCC according to the bidirectional long and short-term memory network algorithm of attention, proposes to use representational learning and attention mechanism to focus on the detected emotional regions, and analyzes the multimodalized teaching of English and American literature course and the emotion of teaching speech reading in multimodal English and American literature. The results showed that on the multimodalized English and American literature course, the experimental class had mean scores of 21.81, 8.04, 6.71, and 7.08 on each test, respectively, and the experimental class outperformed the control class on all tests of English and American literature instruction. On the analysis of speech reading aloud emotion evaluation, the model assessment score and teacher assessment error were 2.3, the correlation coefficient was 0.6982, and the overall performance of the model of speech reading aloud emotion analysis of English and American literature was relatively reliable. Students' literary emotional literacy is developed through this study, and a multidimensional interpretation of English and American literature is achieved.
The Impact of the Digital Economy on the High-Quality Development of Xi’an’s Manufacturing Industry
Authors: Zhang Ling
Published: November 2023

This paper first explains the research on the digital economy to optimize the resource allocation of the Xi’an high-tech manufacturing industry. Secondly, the evaluation index system for the digital economy and Xi’an manufacturing industry is constructed, and the weight of secondary indexes is determined using the entropy weight method. Then, a mediating effect model is constructed to determine explanatory variables, core explanatory variables, mediating variables and control variables according to the purpose of the study, and the mediating effect and impulse response are analyzed. The results show that, in terms of mediating effect, the level of digital economy development significantly positively impacts transaction size, infrastructure, and digital applications. In terms of the impulse response, when the digital economy variables generate a standard deviation shock, the response value of Xi’an’s high-quality manufacturing development is zero in the current period, reaches the maximum response value in the third period, and this positive effect gradually decreases in the fourth period and beyond but always maintains a positive development trend.
Effect of yoga training on body shape based on principal component analysis approach
Authors: Li Ziyan
Published: November 2023

This paper analyzes the practical strategy and significance of integrating form training in yoga training teaching and constructs an evaluation index system for yoga training teaching based on it. Secondly, a principal component analysis was used to introduce the covariance to calculate the comprehensive score of the indexes. Finally, an empirical analysis was conducted to verify the specific effects of yoga training on body shape. The research revealed that yoga asana teaching and breathing control method introduction were the primary components of yoga training, with factor loadings of 0.845 and 0.623, respectively. Yoga training significantly affected cardiorespiratory function, body fat and circumference, and flexibility, p<0.05. According to the statement, yoga training has the potential to enhance body shape and reduce body fat.
Analysis of the influence of environmental design teaching on students’ aesthetic level based on principal component analysis model
Authors: Wei Zhuo , Xie Ningning
Published: November 2023

This paper first analyzes the development trend of environmental design education from two aspects of environmental design’s diversified beginnings and aesthetic foundation and creates a conceptual idea of environmental design teaching system design. The second step is to construct an environmental design teaching index evaluation system, then pre-process the evaluation data and construct the environmental design teaching evaluation model using principal component analysis. Finally, the principal component analysis is conducted by example to evaluate the index weights and the index evaluation. The structure showed that the aesthetic analysis and aesthetic enhancement ratings were 3.56 and 3.33 before environmental design teaching and 8.1 and 8.6 after environmental design teaching. When taken together, environmental design instruction improves students’ aesthetic level.
The Causes, Connotation and Contemporary Value of Yan’an Spirit under the Construction of Digital Cognitive Mapping
Authors: Zhang Yue , Wang Miao
Published: November 2023

This paper develops a cognitive map of the Yan’an spirit that is based on the performance characteristics of the Yan’an spirit. An entity boundary perception model based on multi-task learning is proposed, and the traditional named entity recognition task is decomposed into entity boundary perception and entity classification, which completes the entity recognition based on MTBA-NER. The entity-oriented relationship extraction is based on the Bi-LSTM network to classify the expression of features, and the softmax function is used to extract the classification results. The political value has always been the value of Yan’an spirit, which has a value of 0.274 today, while the economic value, cultural value and educational value have a value of 0.322, 0.367 and 0.245, respectively. The analysis of the connotation of the Yan’an spirit based on cognitive mapping can help reflect and promote its value in contemporary times.
Evaluation of new media communication effect of Sika deer enterprises based on Random forest model
Authors: Kong Cui
Published: November 2023

This paper applies the random forest algorithm to classify the communication effect of the new media of Meihuahuas enterprise, based on the communication effect setting rules, so that the training samples of the communication effect evaluation are split according to the feature attributes and recursively generated a tree. By introducing cost-sensitive factors, the classification accuracy of effect evaluation is improved. Combining the cost-sensitive random forest algorithm, the communication effect evaluation index of Meihualu Enterprise’s new media is constructed. According to the results, the Meilu enterprise’s overall new media communication effect is excellent. The audience can be guided to consume to a certain extent by it. The score of the influence of the new media communication of Meilu enterprise on the audience’s behavior is 0.646. In evaluating the first-level indicators of the new media communication of Meilu enterprise, the scores of communication power, influence, and credibility are all greater than 0.1, and the scores of the three are 0.1143, 0.1746, and 0.1012, respectively.
Construction of Wu Di Music Culture Education Inheritance Innovation System Based on Clustering Algorithm in the Internet Background
Authors: Wang Lu
Published: November 2023

This paper constructs a blended teaching strategy based on Internet information technology and gives the teaching design of Wu Di music culture education. Behavioral science theory and the K-means clustering algorithm of rough set optimization were used as the guide to construct the behavioral analysis model of students’ learning Wu Di music culture education. The effectiveness of the blended teaching model in the inheritance and innovation of Wu Di music culture education was verified through empirical analysis. The results show that blended teaching can further enhance students’ absorption of Wudi music culture, and the percentage of the experimental class who are very interested in Wudi music culture education is 12.03% higher than that of the control class. The blended teaching mode can enhance students' interest in Wudi music and culture education and contribute to the inheritance and innovation of Wudi music and culture education.
Intelligent VR technology empowers the construction of intelligent learning environment for preschool education of kindergartens with emblematic characteristics
Authors: Cao Yang , Baki Roselan Bin
Published: November 2023

Due to the current kindergarten preschool education being increasingly emphasized, this paper combines intelligent technology to explore, firstly, analyzes the current intelligent learning environment model and designs the intelligent learning environment based on human-computer interaction. Secondly, the emblem elements are integrated into the physical learning environment, combined with intelligent VR technology, gesture interaction recognition based on feature vectors and pose interaction recognition based on vector machines to realize the construction of the smart learning environment. Finally, the interaction performance in the smart learning environment is analyzed based on simulation experiments, and the changes in learning effects are explored. The application yields that young children’s independent ability and social interaction ability increased by 0.5 and 0.48, respectively, and the mathematical thinking ability, artistic creation ability and Hui culture cognitive ability increased by 0.35, 0.39 and 0.32, respectively.
Digitalization of university education management applicable to association rule mining algorithms
Authors: Chen Xiuli
Published: November 2023

In this paper, firstly, based on the digital construction of education management in colleges and universities, it is proposed to construct an education management system for colleges and universities to realize the digital development of education management and to design the function and database of the education management system of colleges and universities. Secondly, the Apriori algorithm in association rule mining algorithm is used to define the minimum support and minimum confidence in the variable parameter focus, then the support threshold and confidence threshold are set in the process of optimization connection and pruning, and for the shortcomings of traditional algorithms, the relevance metrics are cited here to improve the systematic data mining efficiency of the Apriori algorithm. Then, the simulation experiment environment and data set are selected, the evaluation index system is determined according to the system requirements, and the education management system based on the association rule mining algorithm is simulated and analyzed. The results show that when min_supp=70%, the Apriori algorithm generates a total of 60 frequent itemsets, and the running time is about 21.2s. Overall, the Apriori algorithm only reads the data set twice, so the program running time is shorter than the Eclat algorithm running time.
Innovation and Development of Cultural Construction Based on the Characteristics of Social Cognitive Networks in the Sinicization of Marxist Theory
Authors: Long Jie
Published: November 2023

By exploring the characteristics of Marxism’s Chineseization, an innovative path for cultural construction development is proposed. Based on the composition of cultural carriers of Marxist Chineseization, this paper constructs the social cognitive network of Marxist Chineseization. The structural characteristics of the network are studied based on node influence, proximity centrality, etc., thus proposing a scale-free model in the social network and adopting Pearson coefficients to characterize the relevance of the nodes. Accordingly, the process of cultural identity and the evolution of cultural carriers in the Chineseization of Marxism are analyzed, and the characteristics of cultural viewpoints are analyzed. In the construction of institutional culture, the cultural identity increased from 0.44 in 1980 to 0.832 in 2019. In constructing spiritual culture, the cultural identity increased from 0.389 in 1980 to 0.822 in 2019. With the dissemination and localization of Marxist theories in China, cultural identity is a process of zigzagging.
Revitalization and Cultural Innovation of Ethnic Traditional Sports Based on Deep Learning Models
Authors: Wu Wenjie
Published: November 2023

This paper first explores the revitalization of national traditional sports and cultural innovation and identifies the key to the definition of national traditional sports. Secondly, it explores the operation mechanism of sports and cultural co-innovation and proposes pathways for sports and cultural innovation. Then, the relationship between traditional ethnic sports and sports culture innovation was studied using the BERT model in the deep learning model. Finally, a controlled experiment was designed to test the comparison of students’ performance before and after learning about sports culture innovation, and the study showed that the performance was improved by 14.3506 and 13.6275, respectively, and that learning about sports culture innovation was effective in improving students’ deep learning ability. Testing the role of three different algorithms on the revitalization and cultural innovation of national traditional sports, the accuracy of the four indicators of BERT is 0.75, 0.78, 0.88 and 0.98, respectively, which is in the first place, and the accuracy of BERT is higher.
Inheritance of Intangible Cultural Heritage of Korean nationality Sports in Colleges and Universities in the Context of “One Belt, One Road”
Authors: Qi Jianguo , Fan Jun
Published: November 2023

This paper explores ways to preserve the intangible cultural heritage of Korean sports inherited by colleges and universities through digital technology and RBM neurons. The non-heritage information and images collected through the method of data collection and data storage are presented in 3D with the help of a neural network. The protection of intangible cultural heritage is achieved by using data restoration technology to trace the past and break the limitations of time and space. Using artificial intelligence technology, a database of intangible cultural heritage can be built, and different types of intangible cultural heritage can be divided using a neural network. The characteristics of Korean sports culture are summarized by analyzing intangible cultural items related to Korean sports. The results show that the feature extraction method incorporating RBM has the highest extraction rate of strong and healthy in sports, with an extraction rate of 0.8, the extraction rate of mighty features is 0.75, and the extraction rate of strength degree of sports is 0.75. The intangible culture of Korean sports is promoted and developed through this paper’s research to a certain extent.
Traditional music heritage in college piano teaching combined with time series modelling
Authors: Ren Yuxiao , Tong Yuxuan , Rao Shuxuan
Published: November 2023

This paper uses the ARIMA model in time series and the BLSTM sentiment classification algorithm in sentiment analysis to predict the elements and the direction of traditional music heritage. Differential processing of non-smooth series data stabilizes the time series data of traditional music inheritance. By extracting all the features contained in the sheet music, the interpreted sheet music is subjected to sentiment analysis to further analyze the inheritable elements of traditional music. The results show that the time series model has high accuracy in predicting the inheritable elements of traditional music, the MAPE value of the ARIMA model is 5.9658308, and the melody, as well as the structure of traditional music, can be integrated into piano teaching in colleges and universities to a certain extent, with the integration degree of the melody being 0.72 and the integration degree of the structure is 0.655.
Utterance variation and its stylistic features in Japanese language education using the dominant relevance approach
Authors: Zhang Yan
Published: November 2023

In this paper, based on the analysis of onomatopoeia in the Japanese language, based on the constructional and grammatical features of the Japanese language, combined with the teaching methods and characteristics of listening, reading and writing in the Japanese language, we utilize the dominant correlation degree method for the characterization of utterance change and its stylistic features. For semantic association, the local dominant association algorithm is employed. The logistic regression algorithm is used to train the two-layer classification model, and logistic regression, plain Bayes and support vector machine are chosen as the analysis and comparison algorithms to judge and analyze the semantics of utterances in Japanese language education. The two-layer classification model was examined to examine the impact of each index, and the word length of written and spoken language was scrutinized for learners and native speakers. The accuracy of each reached more than 99.8%, and the difference was controlled at 0.001. The size order of the word type coverage was Lo>Ns>Lw>Nx>Nr.
Prospects for the Application of Data Analysis Methods in the Evaluation of English Teaching in Colleges and Universities
Authors: Xu Hui
Published: November 2023

This paper studies the specific application of association rule analysis in teaching evaluation in colleges and universities and analyzes the existing cases of the Apriori algorithm applied to college management under association rules. Aiming at the performance bottleneck of the Apriori algorithm in dealing with complex databases, the AMC algorithm based on matrix compression is proposed, and the data storage form is optimized through transaction matrix mapping. The improved AMC algorithm is applied to correlation analysis of English teaching evaluation data in colleges and universities, focusing on the correlation relationship between teaching characteristics, teaching-related factors, and evaluation grades based on confidence level. A confidence level of 69% will be achieved when the teaching effect is good, and the evaluation grade reaches basic satisfaction. A confidence level of 71% can be achieved when the teaching management is excellent and the evaluation grade is satisfactory.
A Systematic Generalisation of Chord Configuration Methods in Harmonic Writing Based on a Big Data Context
Authors: Yang Juan
Published: November 2023

In this paper, we systematically summarize the chord configuration method in harmonic writing, start from the connection principle of functional harmony, and use the knowledge of harmonic theory to research and explain the harmonic variability writing and chord configuration method. Secondly, based on big data algorithms, it is proposed that according to the chord composition law and progression logic, a chord system construction objective function is proposed, and a dynamic planning algorithm for automatic chord arrangement is designed to realize automatic chord arrangement by machine. Then, after reducing the chord repetition rate of the generated music, it was found that the ideal style type of music could not be achieved. For this problem, a hidden Markov-based chord auto-configuration model is proposed for optimization and experimental analysis of the chord configuration method in harmonic writing is carried out. The results show that the emotional response of the major triad music fragment with an octave decrease in overall pitch is a positive emotion, and the intensity of the emotion is significantly reduced compared to the major triad with no pitch change. The emotional response to the music fragment of the major triad with an octave increase in overall pitch was positive, and the emotional intensity of the major triad with no pitch change was significantly increased. This study improved students’ musical aesthetics, cognitive abilities, and experiences.
Exploring the influence of ideological and political education on the formation of legal theory by combining set-pair game models
Authors: Yang Aiai , Qi Huanyi
Published: November 2023

This paper first discusses the system and specific tasks of the theory of jurisprudence and analyzes the integration and development of ideological and political education with the theory of jurisprudence. Secondly, it constructed the evaluation indexes of the formation quality of jurisprudence theory, determined the subjective weights of the indexes by using the method of sequential relationship analysis, determined the objective weights by the entropy value method, and made the combination of weights by the game theory. Using the set-pair method, I analyzed the optimization indicators and constructed a set-pair analysis model based on game theory. Finally, an evaluation analysis was conducted to verify the validity of the model and the influence of ideological and political education on the formation of legal theory. The results show that based on ideological and political theory can effectively improve the quality of jurisprudential theory formation, which makes the formation of jurisprudential theory more in line with the reality of social development and can further solve social development problems. The index of jurisprudence ideology has a comprehensive linkage degree of 0.839, and the evaluation grade is excellent. The expansion of jurisprudential thought can be promoted by ideological and political education, which in turn positively impacts the formation of jurisprudential theory.
The Oleander Bush at Delphi, The Minotaur in the Bullring
Authors: Polgár Anikó
Published: November 2023

This study treats literature as a reflection of cultural memory and explores how literature mediates between mythical and cultural relations to the natural world. The paper aims to promote interdisciplinary dialogue between cultural memory, ecocriticism, and literary studies and draws on foundational texts from these disciplines and previous research that seeks to link them as a theoretical basis. By analysing the works of Gábor Devecseri, chosen as representative examples, the paper demonstrates how literature reveals the return to the deep layers of cultural memory represented in myths and the defects of the relationship between humans and nature, and how it thus contributes to the understanding of a complex (and interdisciplinary) process.
The role of Council of Europe law and ECtHR practice
in the protection of refugee rights
Authors: HRYSHYNA Yuliya M. , BARSUK Maryna , KAYLO Ivan Y. , HAVRYLYUK Volodymyr O. , TKACHENKO Dmytro V.
Published: November 2023

h negotiations and litigation, and the principle of peaceful settlement of disputes is
one of the fundamental principles of international law, there are still subjects of international
law in the world who prefer the military way of dispute settlement and violate the
fundamental principles of peaceful interstate relations. One of the most striking examples is
the armed aggression of the Russian Federation against an independent European state -
Ukraine. Russia not only violated the fundamental principles of international law, such as
peaceful settlement of disputes, respect for the sovereignty of the state, etc. but also caused
a huge number of human rights violations. As a result of the armed aggression, many
Ukrainian citizens were forced to seek refuge abroad in European countries. Thus, the issue
of legal regulation of the rights of refugees in Europe is relevant both for the European
countries that accept and protect such refugees, and for the citizens of Ukraine who are
forced to obtain such status. The author of the article paid special attention to the protection
of refugees' rights within the framework of the Council of Europe law and the ECtHR case
law, as these institutions are key to the protection of human rights in the European space.
Thus, the study of the role of the Council of Europe and the ECtHR will provide an
opportunity to understand the overall picture of refugee protection in the region. In general,
the growth of annual migration volumes makes it necessary to pay special attention to this
issue, especially in relation to forced migrants who are vulnerable and in need of protection
by the host state. The purpose of this article is to explore the role and significance of the law
of the Council of Europe, as well as the ECHR in the protection of the rights and freedoms
of refugees in the European region, as well as the current issues faced by Ukrainian refugees
in European countries. In addition, the article examines the fundamental approaches to the
understanding of the concept of refugee in the theoretical and legal plane.
A CLARIFICATION OF THE STATUS OF RHYNCHOGLOSSUM LAZULINUM (GESNERIACEAE: DIDYMOCARPOIDEAE)
Authors: Taram Momang , Borah Dipankar , Tag Hui , Middleton David
Published: November 2023

The status of the species Rhynchoglossum lazulinum A.S.Rao & Joseph as distinct from R. ampliatum (C.B.Clarke) B.L.Burtt is discussed. It is concluded that Rhynchoglossum lazulinum should be treated as a synonym of R. ampliatum.
Gagal “Move On”: Peran Ruminasi pada Kesepian dengan Kesejahteraan Psikologis dimasa Perceraian
Authors: Fitria Yuli Fitria , Nirly Della Yustiana
Published: November 2023

Selama pandemi beberapa negara melaporkan kasus perceraian mengalami peningkatan, demikian pula yang terjadi di Indonesia. Kasus perceraian menyisakan luka bathin yang bersifat traumatis pada setiap individu yang mengalaminya. Mirisnya kecenderungan mengingat terus menerus kenangan di masa menjalani rumah tangga dapat mengarah kepada ruminasi, yang mana semakin menghambat untuk bangkit dari keterpurukan sehingga diduga menjadi penyebab kesepian dan menurunnya kesejahteraan psikologis individu dimasa perceraian. Tujuan penelitian ini untuk mengungkap peran ruminasi pada hubungan antara kesepian dan kesejahteran psikologis. Jenis penelitian kuantitatif korelasi dengan variabel mediator. Subjek penelitian masyarakat Kabupaten Banyuwangi dengan status dalam proses perceraian berjumlah 136 orang. Teknik pengambilan sampel menggunakan purposive random sampling. Alat ukur yang digunakan skala ruminasi (ruminasi scale), skala kesepian (Lonnely  Scale) dan skala Kesejahteraan psikologis (SWB Scale). Analisis menggunakan metode analisis jalur (Path Analysis). Hasil penelitian diantaranya:1). Terdapat hubungan langsung positif signifikan antara ruminasi dengan kesepian, 2). Ada hubungan langsung negatif sangat signifikan antara kesepian  dengan kesejateraan psikologis, 3). Ada hubungan tidak langsung positif signifikan antara kesepian dengan kesejahteraan psikologis melalui ruminasi. Artinya semakin tinggi ruminasi kecenderungan mengalami kesepian akan semakin besar, dan semakin besar rasa kesepian maka akan di ikuti menurunya kesejahteraan psikologis, kemudian ruminasi mampu memediasi dan semakin menurunkan kesejahteran psikologis. Implikasi penelitian ini, ruminasi memiliki dampak negatif secara psikologis yang dapat menyebabkan kesejahteraan psikologis menurun. Pentingnya analisis secara mendalam tentang ruminasi menjadi bagian kajian pada bidang psikologi kesehatan, hal ini guna  menemukan cara mereduksi ruminasi sebagai upaya derajat meningkatkan kesejahteraan psikologis.
FACTORS AFFECTING ACCOUNTING CONSERVATISM IN CONSUMER GOODS COMPANIES IN INDONESIA STOCK EXCHANGE
Authors: Hadi Arlia Natasya , Salim Susanto
Published: November 2023

This study examines the relationship between accounting conservatism and leverage, capital intensity, profitability, dividend policy, and firm size in consumer goods non-cyclical companies listed on the Indonesia Stock Exchange between 2017 and 2019. In this research 87 observational data are used in which obtained from 29 consumer goods non-cyclical companies that have met established criteria, where the samples are selected using purposive sampling technique. Hypothesis testing in this study uses multiple regression analysis. The data were calculated and processed using Microsoft Excel 2013 dan EViews 12.  This research tested the classical assumption before testing the hypothesis and used the multiple linear regression model method, which the suitable model for this research is Fixed Effect Model (FEM). The findings of this study show that accounting conservatism is significantly influenced by the variables of leverage and profitability, but not by the factors of capital intensity, dividend policy, or business size.