Upper Limit on the Photoproduction Cross Section of the Spin-Exotic π_{1}(1600).

The spin-exotic hybrid meson π_{1}(1600) is predicted to have a large decay rate to the ωππ final state. Using 76.6  pb^{-1} of data collected with the GlueX detector, we measure the cross sections for the reactions γp→ωπ^{+}π^{-}p, γp→ωπ^{0}π^{0}p, and γp→ωπ^{-}π^{0}Δ^{++} in the range E_{γ}=8-10  GeV.

The Role of Surfactant in Electrocatalytic Carbon Dioxide Reduction in the Absence of Metal Cations.

Carbon dioxide electroreduction does not occur on Au when metal cations are absent from the electrode surfaces. Here we show that the electroreduction can be enabled without metal cations, albeit with low efficiency, by the presence of cationic surfactants on Au. The findings demonstrate that in addition to possibly stabilizing CO reduction intermediates the presence of surfactants plays a role in suppressing the competing reactions.

Optimising Instrumented Mouthguard Data Analysis: Video Synchronisation Using a Cross-correlation Approach.

Purpose: Head acceleration events (HAEs) are a growing concern in contact sports, prompting two rugby governing bodies to mandate instrumented mouthguards (iMGs). This has resulted in an influx of data imposing financial and time constraints. This study presents two computational methods that leverage a dataset of video-coded match events: cross-correlation synchronisation aligns iMG data to a video recording, by providing playback timestamps for each HAE, enabling analysts to locate them in video footage; and post-synchronisation event matching identifies the coded match event (e.

Can a novel computer vision-based framework detect head-on-head impacts during a rugby league tackle?

Background: Head-on-head impacts are a risk factor for concussion, which is a concern for sports. Computer vision frameworks may provide an automated process to identify head-on-head impacts, although this has not been applied or evaluated in rugby.

Methods: This study developed and evaluated a novel computer vision framework to automatically classify head-on-head and non-head-on-head impacts.