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A corpus-based study of discourse-level errors in IELTS essaysThis study explored the extent to which discourse-level errors affected band scores in IELTS Writing Task 2 essays written by Vietnamese English learners. The primary objective was to identify how... Author: Mai Hiền Thị Keyword: IELTS Writing Task discourse-level errors coherence cohesion academic writing band score analysis
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Application of carsim software in teaching the Automotive calculation module for Automotive engineering technology students at Vinh UniversityThis paper presents the integration of CarSim, a vehicle dynamics simulation software, into the teaching of the Automotive Calculation module for Automotive Engineering Technology students at Vinh... Author: Minh Luong Ngoc, Uy Nguyen Ba, Phan Bui Ha Keyword: Automotive calculation enhancing teaching quality CarSim software student assessment
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Research on the application of multimedia modules based on SDG13 in enhancing the quality of sustainable development educationThis study focuses on the development and application of a multimedia module based on Sustainable Development Goal 13 (SDG13) to enhance the quality of sustainable development (SD) education at the... Author: Tung Nguyen Xuan, Minh Ngo Van, Linh Ngo Thuy, Bùi Dũng Trung Keyword: Multimedia module sustainable development climate action higher education innovative learning.
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Applying Ho Chi Minh’s thoughts on revolutionary violence in national defense and security education for studentsThis article aims to clarify Ho Chi Minh’s thoughts on revolutionary violence. It proposes several orientations for its application in national defense and security education for students in the... Author: hiep tran ba Keyword: Ho Chi Minh’s thought revolutionary violence national defense and security education political and ideological education
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Some solutions to enhance the effectiveness of professional ethics education for Law major students at Vinh UniversityProfessional ethics education, in general, and legal professional ethics education, in particular, play a crucial role in training competent and qualified professionals. This article reports the... Author: Nhung Tran Thi Keyword: Professional ethics students of law education curriculum extracurricular activities.
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Developing a product rating prediction model based on customer text feedback using machine learning algorithmsThis study focuses on predicting product rating scores from customer text feedback. This task combines the challenges of natural language processing (NLP) with the class imbalance phenomenon commonly... Author: Ha Dien Thi Hong Keyword: Product rating prediction customer text feedback natural language processing (NLP) machine learning models model performance evaluation
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A study on machine learning-based approaches for early detection of Parkinson’s diseaseParkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by the gradual loss of dopaminergic neurons in the brain, leading to both motor and non-motor symptoms. This study... Author: Huong Tran Thi Keyword: Parkinson’s Disease Early Diagnosis Machine Learning XGBoost Random Forest Clinical Data Analysis
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Machine learning-based methods for supporting fake news detectionIn the context of rapidly disseminating online information, fake news has emerged as a serious threat to information security and public trust. Traditional detection methods based on content analysis... Author: Anh Tran Thi Lan Keyword: Fake news detection hypergraph neural networks machine learning graph-based models HGFND
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Factors affecting the effectiveness of students’ competence in using tools and instruments for learning mathematics in general education: an exploratory factor analysis (EFA)This study aims to identify the factors that influence students’ competence in using tools and means for learning mathematics in secondary schools. Survey data were collected from 252 mathematics... Author: Hang Nguyen My, Mai Trần Thị Tuyết Keyword: Tool usage skills exploratory factor analysis mathematics teachers
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Intrusion detection in network systems using transformer based approachThe growing complexity of modern network infrastructures, driven by cloud computing, IoT, and 5G, poses significant challenges for traditional Intrusion Detection Systems (IDS), which often fail to... Author: Ngo Hoa Thi Keyword: Transformer Intrusion Detection Cybersecurity Network Traffic Deep Learning Anomaly Detection
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