The Nevada National Board Professional Learning Institute | Rivas | Activity http://www.nationalboardinstitute.com/members/hairjapan2/activity/ Activity feed for Rivas. Fri, 23 May 2025 17:06:54 -0700 https://buddypress.org/?v=9.1.1 en-US 30 hourly 2 d873edd1aee4772b247f2719c80a690e Rivas posted an update: This study explored the associations of individual factors […] http://www.nationalboardinstitute.com/activity/p/41529/ Sat, 08 Feb 2025 09:24:20 -0800 This study explored the associations of individual factors (demographic characteristics, self-confidence in responding to the coronavirus disease 2019 (COVID-19), and self-rated physical and mental health) and environmental factors (perceived confidence in COVID-19 management by the regional government and adequacy of resources and support…[Read more]

]]> 0 f07b27623fe8d092fac1a8efa691f397 Rivas posted an update: 8983), and the sensitivity and specificity of POU5F1B in the […] http://www.nationalboardinstitute.com/activity/p/38934/ Wed, 05 Feb 2025 09:21:46 -0800 8983), and the sensitivity and specificity of POU5F1B in the diagnosis of CIN2+ were higher than HPV-E2/E6. Furthermore, it demonstrated that the POU5F1B had the highest odds ratio (OR= 16.84; 95% CI (8.00-35.46)) for the detection of CIN 2+.

HPV-16-E2/E6≤0.6471 or POU5F1B≥1.0310 in cervical exfoliated cells can be used as a reliable pre…[Read more]

]]> 0 4b2ef1148fc5d615086cda66726f5ada Rivas posted an update: OBJECTIVES Nosocomial infection is a common source of […] http://www.nationalboardinstitute.com/activity/p/37282/ Mon, 03 Feb 2025 09:47:40 -0800 OBJECTIVES Nosocomial infection is a common source of morbidity in critically injured children including those with traumatic brain injury. Risk factors for nosocomial infection in this population, however, are poorly understood. We hypothesized that critically ill pediatric trauma patients with traumatic brain injury would demonstrate higher…[Read more]

]]> 0 7bb4772a24845d532da01ec926cb44f3 Rivas posted an update: Classifier were trained using the marginal longitudinal […] http://www.nationalboardinstitute.com/activity/p/35446/ Sat, 01 Feb 2025 09:34:29 -0800 Classifier were trained using the marginal longitudinal trajectory residues from the selected features. Our best models predicted conversion with 77% accuracy at baseline (AUC = 0.855, 84% sensitivity, 70% specificity). As more visits were available, longitudinal predictive models improved their predictions with 84% accuracy (AUC = 0.912, 83% sen…[Read more]

]]> 0 248b51ece357f04f282fa9860d5f546c Rivas posted an update: The articles included were read in full and data extraction […] http://www.nationalboardinstitute.com/activity/p/29372/ Tue, 28 Jan 2025 13:06:19 -0800 The articles included were read in full and data extraction was performed to analyze the methodology and the main results.

982 potentially relevant studies were selected. After using the evidence matrices, 38 scientific productions were included for detailed analysis.

The study of scientific productions revealed that the alteration…[Read more]

]]> 0 9094c134bd040842592e2f0e6a27b4a8 Rivas became a registered member http://www.nationalboardinstitute.com/activity/p/29322/ Tue, 28 Jan 2025 13:03:23 -0800 0