Chi Tak Lee

Abstract Poor inhibitory control and decision-making are often considered as risks for substance use and other adverse psychiatric outcomes. The Stop-Signal Task (SST) is a widely used protocol, from which inhibitory control is indexed by stop signal reaction time (SSRT). However, heretofore models of SSRT may be too simplistic to capture complex processes underlying task performance.

Machine Learning Model for Response to Internet-Delivered CBT vs Antidepressant Medication Supplement 1. eFigure 1. PIP Study Design Overview and Flow Chart eTable 1. Model Performance Results From Nested Repeated Cross-Validation (nrCV) Analyses eAppendix 1. Core analyses Without Final QIDS-SR Imputation eAppendix 2. Impact of Multiple Imputation on nrCV Model Performance eAppendix 3. Data Processing Procedures for Modelling eAppendix 4. Nested Repeated Cross-Validation (nrCV) eAppendix 5.

Significance Tropical forests may face the risk of abrupt dieback due to amplifying feedback between forest loss and fire spread. Considering the patch-scale rules of forest and fire spread, we find that forest expands into grassland at a rate proportional to its perimeter, while it recedes at a rate proportional to its perimeter and the area of adjacent grassland.