A RETROSPECTIVE STUDY COMPARING THE SAFETY OF KETAMINE-MEDETOMIDINE AND TILETAMINE-ZOLAZEPAM-MEDETOMIDINE FOR CHEMICAL RESTRAINT OF CAPTIVE .

Chemical restraint, whether remote via dart or via hand injection is essential for many veterinary procedures in captive and wild . but carries risk both to the animal and staff involved. Anecdotal patient safety concerns have been raised for the use of Tiletamine-Zolazepam (TZ), particularly in tigers, that have since been disputed.

Teaching for Learning in Mind: An Evidence-Based Model.

Aim: The aim was to advance the development of a conceptual model derived from findings of a research study that articulated how nurse educators translate and transfer nursing knowledge into experiential teaching strategies.

Background: Brain science teaching and learning is successful because the learning encounter is focused on guiding learners on how to use content. Educator preparation grounded in neuroscience strategies facilitates a shift from teaching in mind to learning in mind.

Using a simulation-based approach to evaluate a contextually appropriate, non-internet dependent mobile navigation tool for emergency medical dispatch (EMD) of lay first responders (LFRs) in Sierra Leone: A multi-cohort feasibility trial.

Introduction: Despite disproportionately bearing the global injury burden, low- and middle-income countries often lack emergency medical services(EMS). Equipping lay first responders(LFRs) with emergency medical dispatch(EMD) is a critical next step for formal EMS development. However, few context-appropriate mobile dispatch solutions are available for LFRs, and implementation feasibility and impact on response intervals are not well understood MATERIALS AND METHODS: A simulation-based feasibility trial assessed a novel EMD tool, previously used for shipping in resource-limited settings without formal addresses.

When the wild things are: Defining mammalian diel activity and plasticity.

Circadian rhythms are a mechanism by which species adapt to environmental variability and fundamental to understanding species behavior. However, we lack data and a standardized framework to accurately assess and compare temporal activity for species during rapid ecological change. Through a global network representing 38 countries, we leveraged 8.

Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study.

Background: Electronic health records (EHRs) and routine documentation practices play a vital role in patients' daily care, providing a holistic record of health, diagnoses, and treatment. However, complex and verbose EHR narratives can overwhelm health care providers, increasing the risk of diagnostic inaccuracies. While large language models (LLMs) have showcased their potential in diverse language tasks, their application in health care must prioritize the minimization of diagnostic errors and the prevention of patient harm.