ID is a small scale qualitative research about a phenomenon regarded in the field that aims to extract themes and patterns. This approach begins with the critical analysis of clinical and theoretical ...
Bibliometric analysis is crucial for evaluating scientific publications, traditionally relying on metrics like citation count ...
On November 8, 2025, the Faculty of Education at East China Normal University hosted a grand ceremony to present the second ...
Objectives The use of economic evidence to prioritise vaccines and delivery strategies to optimally use in immunisation systems is becoming a global priority, especially in low- and middle-income ...
Tian, Y. (2025) Artificial Intelligence Acceptance of High School English Teachers and Its Influencing Factors —Mixed Research Based on the UNESCO Framework for Teachers’ AI Competence. Open Journal ...
Black Book's approach is designed as a practical countermeasure. By maintaining year--round validity, applying audit-supported validation, and refining KPI definitions and weightings on a defined ...
Discover essential risk assessment methods, including qualitative and quantitative analyses, to make informed investment ...
Level, Macro-Level Share and Cite: Fuentes, A. (2025) Postgraduate EFL Writing with GenAI across Scientific Domains: A ...
You will be redirected to our submission process. Mixed methods research in psychological science has undergone significant evolution since its origins in the 1980s, emerging as a powerful paradigm ...
Abstract: Adversarial examples (AEs) are typical model evasion attacks and security threats in deep neural networks (DNNs). One of the countermeasures is adversarial training (AT), and it trains DNNs ...
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