The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA…

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Frontiers

Comparing the ability of the IAT and of the SC-IAT to account for behavioral outcomes: a re-analysis using linear mixed-effects models

Introduction: Implicit measures are widely used to indirectly assess psychological constructs and predict behavior. Nonetheless, comparisons of their predictive validity often suffer from ...
IEEE

Linear Aggregate Model for Realizable Dispatch of Homogeneous Energy Storage

Abstract: To optimize the dispatch of batteries, a model is required that can predict the state of energy (SOE) trajectory for a chosen open-loop power schedule to ensure admissibility (i.e., that ...
C&EN

Association between Maternal Exposure to Per- and Polyfluoroalkyl Substances and Childhood Growth Trajectories up to 4 Years of Age: The Japan Environment and Children’s Study

Department of Sustainable Health Science, Center for Preventive Medical Sciences, Chiba University, Yayoi-cho, Inage-ku, Chiba 263-8522, Japan ...
IEEE

Conflict-Free Navigation Optimization at Unsignalized Intersections Using Mixed-Integer Linear Programming for Connected and Autonomous Vehicles

Abstract: The advent of Connected and Autonomous Vehicles (CAVs) offers significant potential to mitigate traffic accidents and reduce congestion through advanced unsignalized intersection ...