PSYCHOMETRIC PROPERTIES AND CLINICAL UTILITY OF SPINAL HEALTH OUTCOME MEASURES IN SCHOOL-BASED INTERVENTIONS AMONG CHILDREN AND ADOLESCENTS: A SYSTEMATIC REVIEW PROTOCOL

Introduction Spinal health in children and adolescents has global implications, impacting school attendance, academic performance and physical activity.Effective school-based interventions are essential for promoting spinal health literacy, positive behaviours and academic success.Objectives This review aims to collect data on school-based interven

Placental malaria (PM) is a leading cause of maternal and infant mortality.Although the accumulation of parasitized erythrocytes (PEs) and monocytes within the placenta is thought to contribute to the pathophysiology of PM, the molecular mechanisms underlying PM remain unclear.Based on the hypothesis that excessive complement activation may HARVEST

This study examines the influence of dynamic and verbal elements in logo design on consumer behaviour in the luxury retail sector using advanced neuroscience technology (Predict v.1.0) and traditional cognitive survey methods.AI-powered eye tracking (n = 255,000), EEG technology (n = 45,000), Trigger Guards implicit testing (n = 9000), and memory t

This study develops a progressive optimal fault-tolerant control method based on insufficient fault information.By combining passive and active fault-tolerant control manners during the process of fault diagnosis, insufficient fault information is fully used, and optimal fault-tolerant control effect is achieved.In addition, the fault-tolerant cont

Background Identification of futile recanalisation following endovascular therapy (EVT) in patients with acute ischaemic stroke is both crucial and challenging.Here, we present a novel risk stratification system based on hybrid machine learning method for predicting futile recanalisation.Methods Hybrid machine learning models were developed to addr