PREDICTIVE PERFORMANCE OF PREHOSPITAL TRAUMA TRIAGE TOOLS FOR RESUSCITATIVE INTERVENTIONS WITHIN 24 HOURS IN HIGH-RISK OR LIFE-THREATENING PREHOSPITAL TRAUMA PATIENTS

Abstract Introduction Several prehospital trauma triage tools have been recently developed, but no standardized tools currently exist to identify trauma patients at 325 risk of requiring resuscitative interventions (RIs) within the first 24 h post-injury and to prioritize their transport to high-level trauma facilities.Methods This prognostic stud

Abstract Recently, deep learning has been successfully applied to molecular graph generation.Nevertheless, mitigating the computational complexity, which increases with the number of nodes in a graph, has been a major challenge.This has hindered the application of deep learning-based molecular graph generation to large molecules with many heavy ato

Experiments and numerical simulation are performed Clothes to investigate the mechanism of heat and mass transport inside a ribbed tube induced by reciprocating flow.The reciprocating flow is generated by a crank-piston device without producing a net throughflow.It is disclosed from the study that the reciprocating flow causes the generation and ex

Recommender systems (RS) are substantial for online shopping or digital content services.However, due to Bracket some data characteristics or insufficient historical data, may encounter considerable difficulties impacting the quality of their recommendations.This study introduces the clustering-based frequent pattern mining framework for recommende

The need for renewable energy is regarded as a major component in the move towards achieving sustainable development.Using a large sample of 177 countries over the period 1990 to 2020, this research explores the impact of the most significant drivers of renewable energy.Findings from this work contribute to the literature by identifying the most si