Epilepsy is a common neurological condition affecting primary school learners, often leading to misconceptions, stigma, and limited social inclusion.These misconceptions transpire because of a lack of knowledge regarding the condition and may lead to high school dropouts.This systematic review aimed to evaluate the effectiveness of epilepsy educati
Detection of Adversarial Attacks Using Deep Learning and Features Extracted From Interpretability Methods in Industrial Scenarios
The adversarial training technique has been shown to improve the robustness of Machine Learning and Deep Learning models to adversarial attacks in the Computer Vision field.However, the effectiveness of this approach needs to be proven in the field of Anomaly Detection on industrial environments, where adversarial training has critical limitations.
Multivariate Meta-Analysis of Genetic Association Studies: A Simulation Study.
In a meta-analysis with multiple end points of interests that are correlated between or within studies, multivariate approach to meta-analysis has a potential to produce more precise estimates of effects by exploiting the correlation structure between end points.However, under random-effects assumption the multivariate estimation is more complex (a
Missed opportunities to improve food security for pregnant people: a qualitative study of prenatal care settings in Northern New England during the COVID-19 pandemic
Abstract Background Food insecurity during pregnancy has important implications for maternal and newborn health.There is increasing commitment to screening for social needs within health care settings.However, little is known about current screening processes or the capacity for prenatal Vacuum Sound Proofing care clinics to address food insecurity