Publications by authors named "H F McMurray"

Both everyday experience and laboratory research demonstrate that readers often fail to notice errors such as an omitted or repeated function word. This phenomenon challenges central tenets of reading and sentence processing models, according to which each word is lexically processed and incrementally integrated into a syntactic representation. One solution would propose that apparent failure to notice such errors reflects post-perceptual inference; the reader does initially perceive the error, but then unconsciously 'corrects' the perceived string.

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Introduction: Surgical cricothyroidotomy (SC) is a vital skill that combat first responders must master as airway obstruction is the third most preventable cause of death on the battlefield. Degradation of skills over time is a known problem, and there is inadequate knowledge regarding the rate of SC skill retention. Our prior study showed that simulation-based mastery learning was effective in training 89 novices how to reliably perform an en route SC to mastery performance standards.

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Article Synopsis
  • The study focuses on training first-year medical students to perform a critical procedure called lateral canthotomy and cantholysis (LCC) for treating orbital compartment syndrome (OCS) in a timely manner.
  • A standardized curriculum was implemented, combining theoretical knowledge and practical training, and students demonstrated significant improvement in their understanding and execution of the procedure.
  • Results showed that most participants achieved expert-level performance on their first attempt, with a notable reduction in time needed to complete the procedure, indicating the effectiveness of the training program.
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Inference of gene regulatory networks from gene perturbation experiments is the most reliable approach for investigating interdependence between genes. Here, we describe the initial gene perturbations, expression measurements, and preparation steps, followed by network modeling using TopNet. Summarization and visualization of the estimated networks and optional genetic testing of dependencies revealed by the network model are demonstrated.

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