Unveiling CPR training challenges in nursing education: Pedagogical strategies for success.

Aim: This study explored the challenges nursing students face while learning CPR and identified experiential learning strategies to address these challenges.

Background: Nursing students often experience challenges and anxiety during clinical learning, including CPR training. Given the experimental nature of CPR training, experiential learning models like mARC can significantly enhance the learning experience by addressing these prevalent challenges.

Text mining of hypertension researches in the west Asia region: a 12-year trend analysis.

More than half of the world population lives in Asia and hypertension (HTN) is the most prevalent risk factor found in Asia. There are numerous articles published about HTN in Eastern Mediterranean Region (EMRO) and artificial intelligence (AI) methods can analyze articles and extract top trends in each country. Present analysis uses Latent Dirichlet allocation (LDA) as an algorithm of topic modeling (TM) in text mining, to obtain subjective topic-word distribution from the 2790 studies over the EMRO.