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Integration of Rapid Cycle Deliberate Practice Into Prelicensure Nursing Curricula: Preparing Nursing Students for Cardiac Arrest Care.

Nurse Educ

January 2025

Authors Affiliations: Department of Biobehavioral Nursing Science (Drs Castro, Stephens, and Vanderzwan), Department of Human Development Nursing Science (Ms Ortiz), College of Nursing, University of Illinois at Chicago, Chicago, IL.

Background: Nursing students are not consistently trained on how to care for patients experiencing sudden cardiac arrest. In rapid cycle deliberate practice (RCDP), learners perform a simulation with micro-debriefs interjected by the instructor.

Problem: RCDP has been used to train health care students on how to respond during a sudden cardiac arrest, but its application to prelicensure nursing students is underreported.

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Objective: To investigate the effects and mechanisms of miRNA 221 on myocardial ischemia/reperfusion injury (MIRI) in mice through the regulation of phospholamban (PLB) expression.

Methods: The MIRI mouse model was created and mice were divided into sham, MIRI, MIRI+ 221, and MIRI+ scr groups, with miRNA 221 overexpression induced in the myocardium of MIRI mice by targeted myocardial injection. Quantitative RT-PCR analysis was performed to observe the variation in miRNA 221, PLB, SERCA2, RYR2, NCX1, Cyt C and caspase 3 mRNA levels in myocardium, while Western blot assessed the levels of PLB, p-PLB (Ser16), p-PLB (Thr17), SERCA2, RYR2, NCX1, Cyt C and caspase 3 proteins.

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Personalized sports training plans are essential for addressing individual athlete needs, but traditional methods often need to integrate diverse data types, limiting adaptability and effectiveness. Existing machine learning (ML) and rule-based approaches cannot dynamically generate context-specific training programs, reducing their applicability in real-world scenarios. This study aims to develop a Generative Adversarial Network (GAN)- based framework to create context-specific training plans by integrating numeric attributes (e.

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A new HCM heart sound classification method based on weighted bispectrum features.

Phys Eng Sci Med

January 2025

School of Electrical Engineering and Electronic Information, Xihua University, Chengdu, China.

Hypertrophic cardiomyopathy (HCM), including obstructive HCM and non-obstructive HCM, can lead to sudden cardiac arrest in adolescents and athletes. Early diagnosis and treatment through auscultation of different types of HCM can prevent the occurrence of malignant events. However, it is challenging to distinguish the pathological information of HCM related to differential left ventricular outflow tract pressure gradients.

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Myocardial extracellular volume fraction (ECV) measured via MRI serves as a quantitative indicator of myocardial fibrosis. However, accurate measurement of ECV using MRI in the presence of AF is challenging. Meanwhile, CT could be a promising alternative tool for measuring ECV regardless of sinus rhythm or AF.

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