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Analysis of Factors Affecting Use Behavior towards Mobile Payment Apps: A SEM Approach
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MCU complex: Exploring emerging targets and mechanisms of mitochondrial physiology and pathology
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Idololatria Vilnensis: The Confessional Debates of Jesuits and Protestants on Sacred Images in the 16th Century Lithuania
Published 2025-01-01“… Despite the abundance of theological treatises in the Grand Duchy of Lithuania in the late 16th century, only five of the eighty-six known titles deal with the use of sacred images and reveal the opposing sides of Catholics and Protestants in such confessional debates. …”
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DEVELOPMENT OF A PROJECT BASED ONLINE LEARNING MODEL TO IMPROVE THE SKILLS AND ABILITIES OF ACTORS FOR STUDENTS
Published 2023-07-01“…This study describes the development process and feasibility of project-based online learning development to improve actorship abilities and skills for students of the Sendratasik Education Study Program, Faculty of Language and Arts, Surabaya State University. Using research methods, ADDIE development consists of 5 stages of implementation. …”
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Performing Not-Not-Me in SoMe: A New Theatrical Typology of Self-Presentation Online
Published 2025-01-01“…Therefore, we create a theory-based typology on the concepts of theatricality, simple and complex acting, not-acting, not-not-me, imagined audience awareness, and absorption. We present six types of theatrical self-presentations and conditions, types suitable for analysis of SoMe performances.…”
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ADVANCING UNDERSTANDING OF SERVICE-LEARNING: A CASE STUDY OF A UNIVERSITY IN MALAYSIA
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Botany at Stefan Batory University in Vilna (Wilno, Vilnius) (1919–1939)
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An Intelligent Health Monitoring Model Based on Fuzzy Deep Neural Network
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ادارة البيانات المفتوحة وتفعيلها عبر مواقع الجامعات الحکومية السعودية
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The differential impacts of team diversity as variability versus atypicality on team effectiveness
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Rehabilitation monitoring and assessment: a comparative analysis of feature engineering and machine learning algorithms on the UI-PRMD and KIMORE benchmark datasets
Published 2025-01-01“…It compares five feature extraction approaches, six feature ranking techniques, and thirteen ML algorithms to identify the most influential features for accurate exercise classification using benchmark datasets (UI-PRMD and KIMORE). …”
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