bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Synergistic Development Mechanism of Rural Tourism and Leisure Agriculture--Based on the Perspective of Industry Chain Integration
Authors: Yan Yuxia
Published: December 2024

Rural tourism and leisure agriculture play an increasingly important role in rural economic development and have become an important engine for promoting the optimization and upgrading of industrial structures, realizing rural revitalization, and building beautiful countryside. This study constructs an evaluation index system from the perspective of industry chain integration and development, with reference to the content, characteristics, and coupling mechanisms of rural tourism development. Based on the entropy weight-TOPSIS method to establish the coupling coordination degree model, X province was selected as the research object, and its coupling relevance, coupling coordination degree and evaluation indexes were analyzed to provide a reference for realizing the high-quality development of leisure agriculture and rural tourism in the region. The results indicate that leisure agriculture and tourism in Province X experienced an overall upward trend in 2017 and 2018, with leisure agriculture developing slightly faster than tourism. Meanwhile, the coupling degree of leisure agriculture and rural tourism in Province X has always been maintained at a high level, and the values of the coupling degree from 2014 to 2022 are all above 0.900. Finally, by constructing the influencing factor indicators of the coupling coordination degree and using the gray correlation method for empirical analysis, it is found that, among the influencing factors, policy support>market demand>technical level>infrastructure, these four aspects have a positive role in promoting the development of the integration of agriculture and tourism.
Study on the Decorative Art of Ancient Theatre Stage in East Coast of Zhejiang, China under the Analysis of Big Data
Authors: Xue Lingya , He Caikao
Published: December 2024

This paper tries to extract the architectural decorative features of ancient theatre from the three levels of architectural form, architectural appearance and architectural structure. Combined with the historical status of the ancient theatre as well as its developmental lineage, the programmed and ceremonial nature of the theatre is taken as the main component influencing the decorative style of the ancient theatre. The decorative art of the ancient opera stage in the coastal area of East Zhejiang is comprehensively analysed in terms of motifs (construction decoration, carving decoration, painting decoration), graphics (tattoo symbols), and colours (traditional colours), respectively. Based on the development of opera in the Ming and Qing Dynasties, focusing on the Ming and Qing Dynasties, the structural changes of some of the opera stages in the coastal area of East Zhejiang during the Ming and Qing Dynasties are recorded and compiled. The craft techniques, application embodiment, humanistic connotations, and current problems of ancient stage decoration techniques are being analyzed. The modern development of the decorative art of ancient theatre is analyzed in relation to the interviewees’ concern for the decorative art of ancient theatre. The decorative art of ancient times was the overall expression of patterns, graphics, and colors. The ancient stage in the coastal area of East Zhejiang is decorated with five types of patterns: animal and bird patterns, human and god patterns, flower and grass patterns, geometric patterns, text patterns, as well as a combination of various patterns, and the colours are often embodied in the whole (monochrome) and part (coloured), showing the effect of the simplicity of the overall situation and the details.
Exploration of the integration and development of music education and national music culture in colleges and universities
Authors: Han Lintong , Wang Pengjia
Published: December 2024

Introducing ethnic music culture in college music education and realising the integration and development of the two are of great significance to both enriching music education in colleges and universities and realising the inheritance of ethnic music culture. In this paper, the RBF algorithm is simplified and designed, on the basis of which an ethnic music education system is proposed to achieve the integrated development of college music education and ethnic music culture. The experiment shows that the excellent rate of the two experimental groups in the dimension of ethnic music rhythm mastery increases by 8% and 12%, and the good rate increases by 16% and 14%, and the experimental groups also show better teaching effects in other dimensions. In addition, the experimental group students’ ethnic music cultural literacy has significantly improved, and their preference for ethnic music culture is higher than that of the control group. It can be seen that this paper proposes an effective ethnic music education system through the simplified design of the RBF algorithm, which is useful for realising the integration and development of music education and ethnic music culture.
Research on the Innovative Development Path of Physical Training in College Athletics in the Internet Era
Authors: Wei Zuotao
Published: December 2024

Athletics, as a competitive sport, puts high demands on athletes’ physical development. Physical fitness, as an important part of the athletic ability of track and field athletes, will directly affect their competitive level. To address this issue, this paper introduces wearable devices into the physical training of college track and field sports and provides users with a reasonable sports training program through real-time analysis of the collected training data of athletes. Taking H college track and field athletes as comparative experimental objects, we explore the innovative effect of college track and field sports physical training and combine the clustering algorithm and Apriori algorithm to deeply mine the college track and field sports physical training data rules. The results show that track-and-field physical training with wearable devices improves cardiorespiratory endurance better than traditional physical training (p<0.05), and track-and-field physical training with wearable devices significantly improves and enhances FMS tests. Furthermore, the association rules reveal that higher physical fitness in college athletics correlates with improved FMS test results. We can categorize users into three types of athletic groups and develop tailored physical training methods for each group.
Mechanism of “Industry-Teaching Integration and Collaborative Education” in Applied Colleges and Universities under Digitalization Environment
Authors: Feng Pengyu , Zhang Hainan
Published: December 2024

The impact of the digital environment on the “industry-teaching integration and collaborative education” of colleges and universities is increasing day by day, and the optimization and improvement of the related working mechanisms in applied colleges and universities is urgent. The study uses the triple helix model to discuss how “industry-teaching integration and collaborative education” work in digitalized applied colleges and universities. It also builds a model of “industry-teaching integration and collaborative education” using PLS-SEM and tests it using AMOS software. AMOS software was used to empirically test the model. It was discovered that the five factors—incentive mechanism, leadership mechanism, constraint mechanism, communication mechanism, and guarantee mechanism—have various levels of positive and significant impacts on the process of “industry-teaching integration and collaborative education” in universities (P<0.05). Based on this, it is suggested that applied colleges and universities should focus on improving the four mechanisms of scientific and technological achievements sharing mechanism, digital infrastructure guarantee mechanism, practice platform operation mechanism, and digital teaching management mechanism so as to ensure the high-quality cultivation of digital applied talents.
Data-driven optimisation of leadership models during enterprise digital transformation
Authors: Guo Yuntao
Published: December 2024

With the tightening of resource and environmental constraints and the normalization of enterprise transformation, enterprises are increasingly faced with the challenge of coping with unpredictable risks. As a core component of these enterprises, middle management plays a significant role in the success or failure of enterprise crisis management. This paper primarily focuses on the middle management of the enterprise, constructing a five-dimensional model of leadership and applying mathematical modeling through word frequency analysis. It also constructs a leadership evaluation index system through quantitative analysis, which it then combines with the hierarchical analysis method to comprehensively evaluate the leadership level of middle-level administrators. The results of factor analysis show that the predicted internal consistency reliability value and the total scale retest reliability value are over 0.85; the absolute fitness and factor loadings meet the statistical standards, and the constructed leadership model passes the test. In addition, the weights of foresight, decisiveness, planning ability, communication ability, goal management, competitiveness, and challenging the status quo are all greater than 0.7. The optimization of the leadership model can be carried out from the aspects of constructing the talent database of middle managers, strengthening the leadership training of middle managers, and building the mechanism of management culture.
Microstructural characterisation of magnesium alloy materials and its effect on macroscopic properties
Authors: Wang Yanli , Jiang Jianjun
Published: December 2024

Magnesium alloys are promising for use in many structures due to their low density, high specific strength, and specific stiffness. This study analyzes the microstructure of magnesium alloy materials and uses X-ray inspection to explore the characteristic situations of sparse and segregation defects in magnesium alloys. Combining the finite element method, Taylor strain gradient plasticity theory, the Eshelby equivalent inclusion model, and other fine mechanical simulation methods, finite element simulation and experimental analysis of magnesium alloys containing loose and segregation defects are carried out to systematically analyze the influence of defects on the macroscopic mechanical properties of magnesium alloys. The results show that a small number of defects in magnesium alloy materials have little effect on their mechanical properties, both at room temperature and high temperature. The tensile strength, yield strength, modulus of elasticity, and elongation decreased significantly with the increase in the grade of sparsity and segregation defects. It’s worth noting that the elongation of segregation grade 1 specimens increases slightly, with an increase of 0.64% and 0.35% at room temperature and high temperature, respectively. There is a certain negative relationship between the defect grade of magnesium alloy materials and their macroscopic mechanical properties.
The effect of Boolean logic optimisation of music teaching content on teaching effectiveness
Authors: Zhao Chunxiao
Published: December 2024

There is a vast array of music teaching resources on the Internet, and how to effectively access them through search engines requires some effective search methods. This article focuses on the impact of Boolean logic optimization on the effectiveness of music teaching. The article first discusses the Boolean model under the information retrieval model and discusses the specific operations of Boolean logic in detail. It then further optimizes and improves the traditional Boolean logic binary tree algorithm. The article finally tests the search rate and accuracy of the Boolean logic optimisation model proposed in this paper and validates the effect of the Boolean logic optimisation model proposed in this paper in music teaching by taking the students of a school as the empirical research object. After optimising the Boolean logic of music teaching content, in the analysis of the aesthetic perception dimension, about 95% of the students thought that they had been able to feel the emotions expressed by the author through feeling the music and also agreed that the use of the Boolean logic model in music class had the effect of improving music literacy. Thus, the Boolean logic optimisation method proposed in this paper has a positive effect on music teaching.
Research on Higher Vocational Faculty Building and Development Strategies Empowered by Digital Technology
Authors: Jia Bin
Published: December 2024

Higher vocational faculty construction is an important means for higher vocational colleges and universities to enhance their influence and innovate talent cultivation methods. This paper applies digital technology to the process of higher vocational teacher construction, innovates the path of higher vocational teacher team construction, and optimises the strategy of higher vocational teacher construction based on the three-pendulum coupling model. The evaluation index system for higher vocational teacher construction is constructed using hierarchical analysis, and each index in the system is empowered using the eigenvector method. Collect data on teacher construction in higher vocational colleges through questionnaire surveys and analyze the effects of teacher construction in higher vocational colleges through the weight calculation and consistency test of the evaluation system. Based on student satisfaction, we explore the effect of higher vocational teacher construction empowered by digital technology in this paper and use the resultant data to demonstrate the effectiveness and scientificity of the strategy in this paper. Teacher recruitment has the highest weight of 0.256, which has a significant impact on the building of higher vocational faculty. Students’ satisfaction with lecturers and professional competence in relation to higher vocational faculty buildings is above 80%, which fully demonstrates the positive effects of higher vocational faculty buildings based on the strategy discussed in this paper.
Identifying and Guiding Students’ Behavioural Patterns in the Perspective of Online Civic Education Based on Big Data
Authors: Gao Feng
Published: December 2024

In online Civic and Political Education classroom teaching activities, students as the main body of learning activities, and their classroom behaviour is a direct reflection of the teaching effect. In this paper, we take the teaching video of the online Civic and Political Education course as the data source, annotate and preprocess the students’ classroom behaviour data, and enhance the classroom behaviour data through spatial coordinate transformation and grey scale interpolation. The traditional posture recognition backbone network is improved by a joint linear inverse residual structure and lightweight attention model, and the OpenPose algorithm is combined to extract the skeletal key point information of students’ classroom learning behaviours. The YOLOv5 network is then used as the backbone network, and a feature pyramid is introduced to deliver the image semantic information from top to bottom, and a path aggregation network are combined to deliver the localisation information from bottom to top to achieve feature fusion at different levels. Finally, the hybrid attention mechanism is combined to further enhance the feature extraction and recognition of students’ classroom behavior. The average accuracy of the OpenPose algorithm in locating skeletal key points for different types of classroom behaviors is 98.03%, which is 13.84% higher than that of the AlphaPose algorithm. The average accuracy of the YOLOv5-MA model in recognizing students’ classroom behaviors is 5.28 percentage points higher than that of the CNN-LSTM model. The model is 5.28 percentage points higher, the learning motivation of 60-120 seconds students has increased, and their positive behavior rate is between 75% and 85%. Online Civic Education needs to focus on students’ positive classroom behavior in order to better provide for the enhancement of students’ ideological literacy level.
Design and Optimisation of Red Cultural Ceramic Landscape Immersive Experience Space Based on Augmented Reality Technology
Authors: Lu Xuan , Fang Yu
Published: December 2024

Artistic design using emerging technologies provides new carriers and inspiration for the Red Culture ceramic exhibition and innovates the aesthetic and technical aspects of artistic creation. This paper primarily utilizes augmented reality technology to enhance the spatial design of Red Culture ceramic exhibitions, thereby optimizing the immersive experience. Multimodal interaction is proposed, and finger recognition based on skin color segmentation is mainly analyzed. Creating a multi-sensory interactive space, combined with the principle of holographic imaging and designing a depth-of-field viewing area AR display method based on holographic optical elements, emphasizes the multi-viewpoint depth of field. Closely follow the red culture and use the ceramic landscape to convey the essence of red culture. Set the SLM and HOE parameters and simulate the experiment to analyze the normalized light intensity distribution and focus coordinates of the multi-viewpoint. Conduct user evaluation research to analyze the advantages and shortcomings of the digital exhibition of the ceramic landscape of red culture. The order of the dimensional ratings for the ceramic landscape digital exhibition is: cultural experience (91.52) > emotional experience (84) > functional experience (80.39) > interactive experience (79.95) > aesthetic experience (77.22). The ceramic exhibition using augmented reality technology can meet the cultural and emotional needs of visitors, and the AR function, as well as the interactive experience, meet the design requirements.
Ethical Risks and Legal Compliance of Big Data Analytics Technology in Medical Privacy Protection
Authors: Ma Yulian , Liu Chang
Published: December 2024

While big data analytics technology plays an important role in medical privacy protection, ethical risks and legal compliance issues are becoming more prominent. The study applies logistic regression models to analyse the ethical risk factors affecting medical privacy leakage. A hierarchical linear model is then applied to explore the impact of different legal factors on medical data compliance. Logistic regression analysis shows that corporate credibility, the ethical status of research units, institutional factors, and financial factors have a greater impact on the status of ethical risky behaviors. Hierarchical regression analyses show that different legal factors have different impacts on medical data compliance. Accordingly, this paper proposes countermeasures to avoid ethical risks. The paper suggests that ethical risk avoidance should start from four aspects: laws and regulations, industry self-regulation, technological innovation, and citizen quality. To enhance legal compliance, we should adhere to the four principles of principle, standardization, policy, and local legislation first.
Exploring the use of AI-generated AI-based drawings and music in Bipolar affective disorder interventions
Authors: Peng Cheng , Zhang Zhinan
Published: December 2024

This paper focuses on the application effect of the rehabilitation care means of integrating AI drawings and music on patients with Bipolar affective disorder. Analysing the symptoms of Bipolar affective disorder, combining pictures and music in terms of audio-visual effects on Bipolar affective disorder to ease the role of AI music and AI pictures to help music therapy and psychological counselling, respectively. Describe the music generation problem, introduce multi-label classification technology, and propose models for rhythm and melody generation based on LSTM networks and reinforcement learning algorithms. Compare the advantages of picture counselling and traditional psychotherapy, and propose a multi-frame HDR generation network based on generative adversarial networks to optimize AI pictures. Unifying AI drawings and music to implement rehabilitation intervention for Bipolar affective disorder, the changes in negative emotions, self-esteem level, and disease shame were counted before and aftercare. After the rehabilitation intervention, the four dimensions of stigma (social exclusion, economic discrimination, intrinsic shame, and social isolation) of the observation group were better than those of the control group, and there was a statistically significant difference between the two groups (P < 0.05). The rehabilitation intervention of AI-generated pictures and music can provide better psychological guidance to patients with Bipolar affective disorders and can effectively help patients with Bipolar affective disorders recover their health.
Analysis of Web-based Student Learning Behaviour and Teaching Adjustment Strategies in a Blended Teaching Model
Authors: Hao Yihui
Published: December 2024

In the context of the rapid development of Internet technology and the economy, the blended learning model has been supported by the environment, and web-based learning has begun to spread widely. In this paper, after using the Z-score data standardisation method to process the students’ online learning behaviour data under the blended learning mode, the correlation between each learning behaviour characteristic and performance is calculated by the correlation analysis method. Then, the SMOTE-XGBoost-FM model is proposed to predict students’ academic performance based on behavioural characteristics, and the performance prediction results are used to assist teachers in making teaching adjustments and interventions and obtain good teaching results. It was verified that the correlation between homework scores and academic performance among the online learning behavioural features was the highest (0.91), and the accuracy, precision and recall of the fusion model’s performance prediction were all above 0.95. It has also been found that after analyzing learning behavior and adjusting teaching strategies, the frequency of students’ online behavior significantly increases, and they can actively access various resources on the platform during the learning process. This paper explores the mechanism and strategy of differentiated teaching adjustment based on online learning analysis, which achieves accurate diagnosis, multi-dimensional follow-up and effective adjustment and intervention for students by making full use of behavioural analysis to diagnose and analyse students.
Identification and Research of Learning Behaviour Patterns in College English Classroom Based on Big Data Analysis
Authors: Jiang Min
Published: December 2024

Classroom learning behavior analysis is an important means for teachers to understand the classroom situation, which helps teachers grasp the learning situation of each student, adjust teaching strategies, and then improve teaching quality. The article first collects lecture videos from real English classroom teaching in universities, summarizes six typical classroom behaviors, and designs and constructs a student classroom learning behavior dataset for the classroom learning behavior recognition model. In order to better integrate the spatio-temporal features of students’ classroom learning behaviors, an end-to-end student classroom learning behavior recognition model based on the dual-attention mechanism integrating spatio-temporal features (DA-YOWO) is designed. Through experimental comparison with YOLOv5 and FasterR-CNN models, it has been verified that the model in this paper has a high behavioral recognition accuracy for student learning behaviors in the English classroom. Then, in the real classroom scenario, the comprehensive weights of the student behavior indicators were determined by principal component analysis and factor analysis, and the analysis of student learning engagement was carried out. According to the results of the analysis, the learning status of each student in the English classroom was clarified so that the teachers had enough time to reflect on the deficiencies and problems in their teaching process according to the student’s performance in the classroom, which helped the teachers to better grasp the whole classroom.
Research on the Teaching Reform Path of Automotive Service Engineering Based on Artificial Intelligence Application
Authors: Liu Jia , Li Ye , Shi Yan
Published: December 2024

This paper applies relevant research technologies, such as intelligent tutoring systems, automated assessment systems, educational robots, natural language processing, and intelligent robots, to the reform of automotive service engineering teaching. After teaching the automotive service engineering teaching course with artificial intelligence, the teaching experiment is carried out for two classes, and the teaching effect is analyzed through assessment, questionnaire survey, and other forms at the end of the experiment. The results show that by comparing the effectiveness of task work order teaching practice between the experimental group and the control group, the experimental group’s scores are mainly concentrated in the range of 75 to 90 points. In terms of operational skills, the experimental group scored 0.8 points more than the control group. The experimental group’s theory and practical training scores are superior to the control group’s excellence rate. Students’ acceptance and satisfaction with teaching artificial intelligence is over 65%.
A Study on the Network Effect of Chinese Speech Features in Cross-cultural Communication Based on Semantic Networks
Authors: Liu Qinglian
Published: December 2024

In this paper, a semantic network-based topic word extraction model for Chinese language features is constructed by combining the theoretical knowledge of the conceptual semantic network. Chinese language texts and videos on social networks are selected to build a lexicon and a knowledge base, and the forward maximum matching method is used for lexical segmentation. After calculating the weights of all the candidate subject words using the vector space model, the words are sorted from largest to smallest in terms of weight, and then the top N are filtered out as the final subject words to analyse their influence in cross-cultural communication. It can be seen that among the lexical features of the linguistic landscape, the word “shop” has the largest weight value of 0.2326, and among the lexical features of the linguistic landscape, “gold shop” and “medicine shop” are the most common. The most common word features in the linguistic landscape are “gold bank”, “medicine bank”, etc. The mean value of harmonic Chinese network buzzwords is 3.0078, which is the most widely spread. The number of likes and shares of video content without a series is generally high. In the event of Chinese language fever, it is important to investigate the means of international dissemination of Chinese language features based on semantic networks.
Synergistic integration of community-based gerontological education and governance in the context of active ageing
Authors: Liu Xiaopei
Published: December 2024

This paper builds a theoretical research framework for collaborative governance from theories related to active ageing, collaborative governance, and other relevant theories. To study geriatric education. Taking Z city as an example, it takes the current situation of the development of synergistic integration of elderly education and governance as an entry point, and adopts the idea of empirical analysis and countermeasure research to carry out the study. The results show that in 2023, the elderly population of 60 years old and over 65 years old in Z city has reached 2,047,700 and 1,471,500 people. The distribution of the elderly population is mainly concentrated in four districts, A, B, C, and D. The teaching staff of a community school for the elderly in City Z is relatively large. There are 192 types of courses available for the elderly at the school. In the 2020-2023 calendar year, the activity room for the elderly in city Z, the elderly education institutions, and so on are in a steady development trend. There is a significant positive correlation between the willingness of the elderly to participate and literacy level, economic status, the amount of money they are willing to spend each year, the completeness of senior education venues and facilities, and the importance of senior education activities (P<0.05).
A Study of Teacher Behavioural Pattern Recognition Techniques in Music Education and Their Impact on Teaching Effectiveness
Authors: Wei Zehui , Zhao Zhou
Published: December 2024

This paper proposes a method for recognizing teacher behavior patterns using a graph convolutional neural network. This method extracts the human skeleton point information by using a single-frame image from a teaching video as a unit. Then, a graph convolutional neural network is used as a framework to aggregate multi-frame image information and identify the teacher’s behavioral patterns. In order to verify the effectiveness of the method, the article constructs a video dataset collected from public music teaching videos on Catechism.com, which contains six categories of teacher behavioral patterns and conducts comparative experiments. The experimental results show that the teacher behavior pattern recognition technique based on a graph convolutional neural network can effectively exclude the interference of irrelevant information within the classroom scene and make full use of the information generated between the skeleton points in the multi-frame image to accurately identify the typical teaching behaviors of the teacher, with an accuracy of more than 0.96 and stronger robustness. This study can respond to teachers’ teaching status in a timely and effective manner, which can help teachers optimize their teaching behaviors and improve their teaching effectiveness in music classrooms.
Research on Ancient Text Recognition and Translation Assisted by Artificial Intelligence
Authors: Zhang Na
Published: December 2024

With the rapid development of artificial intelligence technology, the use of information processing technology for the study of ancient writing has also attracted more and more attention from the academic community. In this paper, we propose a technology for recognizing and translating ancient texts, aiming to assist in the advancement of ancient text research. Based on the network model SiameseWord and the twin network based on the deep residual network Resnet50, the image pair approach is used as the input of the network, and the feature vectors of each picture in the image pair are extracted by the network to realize the recognition of ancient characters. The mask matrix strategy is introduced into the BERT model, and the internal fusion and dynamic weighting of the multi-attention mechanism are used to construct an improved Masking-BERT model and improve the translation performance of the model. The Shang and Zhou gold text dataset is used as a research object to carry out ancient text recognition and translation practices. This paper’s method maintains a high recognition accuracy of 88.55% even when the number of Shang and Zhou gold text categories reaches 550. This paper’s translation method achieves a translation overlap rate of 25.26%, surpassing that of the comparative CUDA and PSO models, and it also achieves the highest contextual fitness, with a fitness of 60.07%.
Study on Strategies for Improving the Anti-interference Ability of Relay Protection Equipment in High Altitude Areas
Authors: Ma Haifeng , Li Yuan , Liu Dongping , Zhang Hongbo , Tai Xianghua , Zhang Lin
Published: December 2024

The traditional power system relay protection technology in high altitude areas is more inefficient. This paper analyzes the main sources of interference of relay protection equipment in high altitude areas and proposes a targeted strategy to improve the anti-interference technology of relay protection. The mathematical model of relay protection failure is established, and the support vector machine algorithm model is used to realize the construction of the relay protection state algorithm model so that the macro data in the operation process of relay protection equipment is converted into microdata, which improves the management ability of relay protection equipment. Subsequently, the mathematical model of anti-interference calculation of relay protection devices is used to process the collected interference signals, eliminate the interference signals after accurate identification, and improve the anti-interference ability of relay protection equipment. The relay protection device undergoes testing after the construction of the relay protection state algorithm model and anti-interference calculation model. The experimental results show that the equipment failure rate under the relay protection state algorithm is less than 0.8%, the annual failure rate of equipment components is less than 0.2%, and the overall analog output error rate amplitude is only half of that under the original anti-jamming technology when adopting the mathematical model of anti-jamming calculation of relay protection device, which proves that the anti-jamming ability enhancement strategy proposed in this paper is capable of reducing the relay protection in high-altitude areas caused by false and refusal to act. Equipment losses in high altitude areas.
Algorithm-based Optimisation of Students’ Personalised Learning Path Design in University English Teaching Models
Authors: Peng Xiaoxue
Published: December 2024

The current application of intelligent technology in the field of education is becoming more and more widespread, especially in personalized English teaching, which shows enormous potential and value. After combining the concepts of personalized learning paths with algorithm optimization, the study gathers online learning behavior data from university students as an example and investigates the factors that influence English learning through correlation and regression analysis. Afterward, the K-mean clustering algorithm is optimized by improving the method of determining the number of clusters, and the learner analysis is completed based on the learning behavior data to divide the sample students into clusters. On this basis, the personalized learning path under the university English teaching mode is designed and applied to the teaching practice to explore the students’ learning effects after the path is applied. The sample students can be divided into three categories: low-invested, medium-invested, and high-invested, which account for 10.19%, 25%, and 64.81%, respectively. The English scores of the students who applied the personalized learning path were significantly improved, with 7.037 and 6.985 points for freshmen and sophomores, respectively, and there was also a substantial improvement in English learning attitudes and learning strategies, which verified the practical effect of the designed personalized English learning path.
Research on Automation and Intelligence of Accounting Data Processing in Big Data Environment
Authors: Xing Ruolin
Published: December 2024

The automated accounting data processing system under the big data environment can realise the automation of data collection and confirmation, effectively improve the efficiency of accounting data processing, provide detailed accounting data of economic matters, and meet the increasing internal and external information needs. This paper constructs a mathematical model of accounting data processing, sets the correlation matrix of balance and incurred amount, respectively, and determines the current value after the matrix operation using the formula. A complete accounting data processing system is established from eight aspects, such as statement transformation and analysis, principal-volume-profit analysis, and so on. Add the BP artificial neural network structure, visualize the final output vector produced by it, and identify the components of automated accounting data processing. Set the experiment-related parameters and use a combination of comparative experiments and empirical analysis to evaluate the effects of automation and intelligence on accounting data processing. After completing the construction of accounting data processing automation, the annual manual accounting efficiency days of the subject enterprise decreased from 3.875 in 2017 to 1.92 in 2022, and the efficiency of manual cost accounting was improved. The gearing ratio diminishes annually, from 72 in 2017 to 68 in 2022, and the test enterprise’s long-term solvency is on the rise.
SPRACHMITTELNDE AKTIVITÄTEN/MEDIATION IM FREMDSPRACHENUNTERRICHT. ÜBERLEGUNGEN AUS DER UNTERRICHTSPRAXIS
Authors: PARASCA Maria
Published: December 2024

Since 2018, when the Companion Volume of the Common European Framework of Reference for Languages was published, language mediation has once again moved into the spotlight of foreign language didactics. The goal of this paper is to provide a conscious reflection of action in teaching practice regarding language-mediating activities. The analysis shows, on the one hand, that most students are not familiar with the concept of mediation, but on the other hand they have a positive attitude towards it. Both the quantitative and qualitative analyses provide important insights for the practice of teaching German as a foreign language.
MUSEUM(S) OF A GLOBAL PHENOMENON. HISTORICAL MONUMENTS OF THE ENGLISH LANGUAGE
Authors: COROBAN Costel , OANCEA Costin-Valentin
Published: December 2024

The scope of this paper is, first, to explain how language and identity are intertwined, how language came to be considered part of intangible cultural heritage, and how initiatives to preserve, present and display languages have evolved over time. In addition, we aim to discern how language museums evolved starting with the nineteenth and twentieth centuries, to provide examples where heritage institutions showcase the English language, and to discuss how English as an international ‘lingua franca’ provides opportunities and challenges from the viewpoint of heritage preservation.
DESENVOLVIMENTO DE CALCULADORA AMBIENTAL PARA ANÁLISE DO REUSO NO MERCADO DE AUTOPEÇAS DE REPOSIÇÃO
Authors: Hernández Francisco del Moral , Yoshiyasse Ciro Seiji
Published: December 2024

Objetivo: Este artigo tem como objetivo demonstrar através do uso de uma calculadora estratégias efetivas de Ecodesign do REUSO para extensão da vida de autopeças e redução de impacto ambiental, a partir da manutenção de componentes para sua reintrodução à cadeia produtiva e de consumo. Um componente relevante é escolhido de um motor elétrico que seria descartado para em seguida comparar o impacto energético, hídrico e de emissões de CO2 com as alternativas que o mercado oferece: utilizar uma peça original, uma peça reparada ou um similar importado. O objetivo é identificar escolhas ambientalmente mais amigáveis e validar um modelo indicativo de cálculo.
 
Referencial Teórico: O referencial téorico descreve as condições de contorno de Ecodesign:   Reuso de autopeças Emissões de CO2, Pegada hídrica, Embodied Energy como mediador estratégico; Produção primária e Avaliação de Ciclo de Vida (ACV).
 
Método: Quantitativo.Utiliza dados relacionados aos materiais envolvidos descritos na literatura de ACV a partir de três indicadores ambientais: pegada de carbono, hídrica e energética. Comparm-se os dados de impacto entre as alternativas definidas em condições similares às práticas usuais do mercado de reposição de autopeças.  
 
Resultados e Discussão:  É realizado cálculo aproximado através da calculadora ambiental da intensidade de energia de uma mercadoria industrializada. A comparação dos resultados (com reuso e sem reuso) de materiais produzidos e reparados localmente e produzidos em outros países mostra: quanto à massa dos produtos, o potencial de impacto do produto reintroduzido reformado é próximo de zero; na pegada hídrica de produtos similares produzidos por processos similares a pegada hídrica revela volume similar e a quantidade de energia incorporada será similar.
Implicações da Pesquisa: Realizar escolhas ambientalmente amigáveis associadas a: Políticas públicas para incentivo à operacionalização e normatização do parque industrial local voltado para a reposição de componentes automotivos. Indicação de beneficios econômicos e ambientais. O tratamento de incertezas poderia, em desdobramento futuros, se servir de lógica paraconsistente.
 
Originalidade/Valor:  Um Eco Indicador envolvendo as pegadas hídricas, de Carbono e de Energia incorporada, toma relevo a partir de uma estratégia de visualização simultânea de indicadores ambientais de forte peso na cadeia produtiva.
Sodium nitrite ingestion in a suicide attempt: First reported case in the Middle East
Authors: Ahmed Lamees , Ba Fatimetou , Al-khaleefa Farah , Al-saadoon Abrar , Merie Mhd
Published: December 2024

Sodium nitrite (NaNO2) is a water-soluble, white-yellow-colored crystalline powder with various practical applications including use as a food preservative, antimicrobial, and coloring agent. The use of sodium nitrite has recently emerged as an increasingly popular method of suicide. The first reported case of intentional sodium nitrite ingestion occurred in 1979. Two cases were reported in Tokyo, Japan, one in 1996 and another in 2000. Between 2000 and recent years, there has been a distinct lack of cases with only 1 case in New Zealand in 2010 reported. However, since 2019 the number of reported suicides using sodium nitrite has significantly increased compared to previous years. Sodium nitrite ingestion can be fatal, depending on the dose ingested. It causes ferrous iron to be oxidized to ferric iron (Fe3+), thus losing its ability to bind oxygen and resulting in a greater affinity for oxygen in the remaining Fe2+ heme groups that are present in the same hemoglobin structure. Thus, hemoglobin is transformed into Methemoglobin (MHb), which has a lower capacity to transport oxygen and release it into the tissue. Methemoglobin cannot bind oxygen which results in impaired oxygen transport, subsequent hypoxia, and lactic acidosis. We report the first case to ever be seen in the middle east, in the UAE, Sharjah. A 21-year-old male known case of depression on treatment presenting with an acute onset abdominal pain and multiple episodes of vomiting. When the patient arrived at our ED, he had a low GCS with severe central cyanosis and hypoxia. Fortunately, the patient's first degree relative informed the team that she had witnessed him ingest sodium nitrite powder as an attempt to commit suicide, which hastened the identification of the causative toxin and thus patient's management and the delivery of its antidote, methylene blue, which led the patient to a full recovery. In this case report we would like to highlight and discuss early identification and delivery of antidote in such patients, the clinical and lab findings that support the diagnosis and the possible complications that can arise.
CHALLENGING NEGLECT OF TEGUMENTARY LEISHMANIASIS: HEALTH PROMOTION IN AN ENDEMIC AREA IN SOUTHERN BRAZIL
Authors: Ganaza-Domingues Karla Larissa Trassi , Brustolin Aline Ávila , Teixeira Jorge Juarez Vieira , Demarchi Izabel Galhardo , Lonardoni Maria Valdrinez Campana
Published: December 2024

This study aimed to verify the epidemiological profile of tegumentary leishmaniasis (TL) in an endemic area in Southern Brazil and to develop health education activities with the local population to prevent new cases. This was a prospective study conducted with residents of the Borba Gato district, Maringá-Paraná, from March 2018 to June 2023. A questionnaire was applied to the participants to investigate the previous knowledge about TL and exposure to risk factors. Laboratory tests were performed to actively search for new cases of TL in the neighborhood. A total of 61 patients underwent indirect immunofluorescence (IFI) examination. Eight of them had a history of the disease, of which three continued to have positive titers on the test (IFI > 40) even after years of treatment completion. A new case of the disease was confirmed during the development of the study and progressed to clinical cure following administration of meglumine antimoniate 20mg/kg/day. Distribution of educational leaflets and lecture cycles with the population and health professionals of the neighborhood were developed to elucidate them regarding the form of transmission and preventive measures against TL. Health surveillance actions are necessary to control TL in endemic areas and promote human and animal health.
EL PAPEL DEL TRADUCTOR ANTE LA DIVERSIDAD DE LA TERMINOLOGÍA DIPLOMÁTICA ENTRE LOS PAÍSES Y LOS REGÍMENES DE GOBERNACIÓN
Authors: Abdul Yema Kadhim Aseel
Published: December 2024

El interés de nuestra investigación se centra en lenguaje diplomático, el cual juega un papel crucial en las relaciones internacionales. A través de él nuestros estados- nación comunican sus intereses, posturas y acuerdos. Este tipo de lenguaje puede caracterizarse por su formalidad, precisión y sutileza, lo que permite a los diplomáticos manejar situaciones complejas y delicadas. Por lo tanto, en un contexto en donde las palabras tienen un peso importante en la percepción y el entendimiento entre las naciones, la habilidad de una persona al manejar este lenguaje, determina el éxito o fracaso de las negociaciones y la construcción de consensos.
Por otro lado, al centrarnos en el ejercicio de la traducción de textos y discurso diplomáticos, podemos evidenciar que esta tarea requiere no solo del dominio del idioma, sino también una comprensión profunda del contexto político, social y cultural del espacio en el que se produce el discurso. De esta forma, la precisión en la traducción es esencial, ya que un error o malentendido puede llevar consecuencias graves. Por lo que, las traducciones que se procuran deben ser capaces de evidenciar los matices y los significados implícitos del lenguaje diplomático, con el fin de asegurar que el mensaje original se mantenga y se adapte adecuadamente a la intención del emisor y la interpretación del receptor.
Por estas aclaraciones fundamentales, nuestra investigación tiene como objetivo comprender el lenguaje diplomático, su relación con la política y sus implicaciones en las traducciones. Para ello, nos remontaremos a varias concepciones clave, dentro de las que incluimos el lenguaje diplomático, su vínculo con la política (relaciones internacionales), y las condiciones de uso que requiere la traducción de este. Además, proponemos abordar temas específicos que den relación a la traducción del discurso y texto diplomático, así como plantear estrategias de traducción que a nuestro parecer pueden garantizar la eficacia y la precisión en la comunicación diplomática.