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Background: Health care systems and the nursing profession worldwide are being transformed by technology and digitalization. Nurses acquire digital competence through their own experience in daily practice, but also from education and training; nursing education providers thus play an important role. While nursing education providers have some level of digital competence, there is a need for ongoing training and support for them to develop more advanced skills and effectively integrate technology into their teaching.

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Background: An accurate knowledge of a patient's risk of cord-level intraoperative neuromonitoring (IONM) data loss is important for an informed decision-making process prior to deformity correction, but no prediction tool currently exists.

Methods: A total of 1,106 patients with spinal deformity and 205 perioperative variables were included. A stepwise machine-learning (ML) approach using random forest (RF) analysis and multivariable logistic regression was performed.

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Active-learning instructors are more effective when they use pedagogical content knowledge (PCK) to anticipate, interpret, and respond to student thinking. PCK is topic-specific and includes knowledge of student thinking (e.g.

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Maternal smoking increases adverse risks for both the mother's pregnancy and the unborn child and remains disproportionately high among some Indigenous peoples. Decreasing smoking among pregnant Indigenous women has been identified as a health priority in New Zealand because of wide inequities in smoking-related harms. Using pre- and post-intervention questionnaires, this feasibility study assessed the acceptability and potential efficacy of a novel cessation program designed for Indigenous women by Indigenous experts utilizing traditional knowledge and practice.

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Background: The role and relevance of macrophages both as causes and therapeutics of cellular senescence is rapidly emerging. However, current knowledge regarding the extent and depth of senescence in macrophages in vivo is limited and controversial. Further, acute models of stress-induced senescence in transformed/cancerous macrophage cell lines are being used although their efficacy and relevance are not characterized.

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