Publications by authors named "K G Dougherty"

Competency-based medical education has become a means in physician assistant (PA) education to ensure learner readiness for practice; align educational expectations; and assess knowledge, skills, and attitudes. Competency-based education may also serve to meet accreditation requirements. Creating program-defined competencies and associated milestones can help a PA program align with their mission and vision, developmentally guide learners through the curriculum, and ensure program assessments measure the tasks required of practice-ready graduates.

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Theory suggests that animals make hierarchical, multiscale resource selection decisions to address the hierarchy of factors limiting their fitness. Ecologists have developed tools to link population-level resource selection across scales; yet, theoretical expectations about the relationship between coarse- and fine-scale selection decisions at the individual level remain elusive despite their importance to fitness. With GPS-telemetry data collected across California, USA, we evaluated resource selection of mountain lions (Puma concolor; n = 244) relative to spatial variation in human-caused mortality risk.

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Proprioceptive input is essential for coordinated locomotion and this input must be properly gated to ensure smooth and effective movement. Presynaptic inhibition mediated by GABAergic interneurons provides regulation of sensory afferent feedback. Serotonin not only promotes locomotion, but also modulates feedback from sensory afferents, both directly and indirectly, potentially by acting on the GABAergic interneurons that mediate presynaptic inhibition.

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Article Synopsis
  • Discharge date prediction is essential for efficient healthcare management, helping with resource allocation and improving patient care by providing accurate estimates for when patients will leave the hospital.
  • The study developed a prediction model using machine learning (XGBoost) and collaborated with clinical experts to gather relevant data, which was integrated into an Electronic Medical Record system for practical use.
  • The model improved prediction accuracy significantly, reducing excess hospital days by nearly 19%, highlighting its effectiveness for enhancing healthcare resource management and patient outcomes, with recommendations for future research on its long-term applicability.
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