Crash frequency prediction based on extreme value theory using roadside lidar-based vehicle trajectory data.

Crash prediction models (CPMs) are mostly developed using statistical or data-driven methods that rely on observed crashes. However, the historical crash records can be unreliable due to availability and data quality issues. Near-crashes based CPMs offer a proactive approach to predict crash frequencies prior to the occurrence of crashes.

Single-Micelle-Templated Synthesis of Hollow Barium Carbonate Nanoparticle for Drug Delivery.

A laboratory-synthesized triblock copolymer poly(ethylene oxide--acrylic acid--styrene) (PEG-PAA-PS) was used as a template to synthesize hollow BaCO nanoparticles (BC-NPs). The triblock copolymer was synthesized using reversible addition-fragmentation chain transfer radical polymerization. The triblock copolymer has a molecular weight of 1.