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.

Cultural bias in the assessment of language: A closer look at the Boston naming test among multicultural Canadian older adults.

Objective: The Boston Naming Test (BNT) is commonly used to assess word-finding in older adults but performance may be impacted by cultural and linguistic factors. This study aimed to assess cultural bias in BNT performance among older adults, explore sources of this bias and provide clinical guidelines for its use in multicultural settings.

Methods: We conducted a retrospective chart review of 525 older adults referred for neuropsychological assessment at a large geriatric hospital in a multicultural Canadian city.

The non-indigenous dung beetle () can effectively reproduce using the dung of indigenous eastern North American mammals.

Non-indigenous dung beetle (Coleoptera: Scarabaeoidea) species in North America are important contributors to ecosystem functions, particularly in pasture-based livestock systems. Despite the significant body of research surrounding non-indigenous (and often invasive) dung beetles in agricultural contexts, there has been minimal study concerning the impact that these species may have on indigenous dung beetle populations in natural environments. Here we examine the possible impact of the introduced dung beetle on indigenous dung beetle populations via use of indigenous mammal dung.

Optimization of swim depth across diverse taxa during horizontal travel.

Semiaquatic taxa, including humans, often swim at the air-water interface where they waste energy generating surface waves. For fully marine animals however, theory predicts the most cost-efficient depth-use pattern for migrating, air-breathing species that do not feed in transit is to travel at around 2 to 3 times the depth of their body diameter, to minimize the vertical distance traveled while avoiding wave drag close to the surface. This has rarely been examined, however, due to depth measurement resolution issues at the surface.