Abstract Eurycoma longifolia (also known as Tongkat Ali) is one of the valuable medicinal plants frequently used as traditional medicine in Malaysia.Its alkaloids and quassinoids reportedly confers antiparasitic activities.The effect of different Light Emitting Diode (LED) spectra treatments on E.longifolia hairy root cultures (ELHRCs) on alkaloid
Functional magnetic resonance imaging (fMRI) has increasingly come to dominate brain mapping research, as it provides a dynamic view of brain matter.Feature selection or extraction methods play an important role in the successful application of machine learning techniques to classifying fMRI data by appropriately reducing the dimensionality of the
Preventable adverse drug events occur frequently at transitions in care and are a problem for many patients following hospital discharge.Many of these problems can be attributed to poor medication reconciliation.The purpose of this study was to assess the impact that direct pharmacist involvement in the discharge medication reconciliation process h
ObjectiveThis study developed a hybrid neural network integrating multi-modal data to predict anterior cruciate ligament (ACL) forces Knits during rehabilitation in martial artists using a novel resistive knee brace after ACL reconstruction.The goal was to leverage time-series biomechanical parameters and static clinical features to optimize postop