'Antibiotics under our feet' is a Scottish citizen science project that aimed to raise science capital in primary school learners and their teachers through measurement of microbial diversity in urban soil samples in the search for novel antimicrobial compounds. Resistance to antibiotics is rising, posing a global threat to human health. Furthermore, science, technology, engineering and mathematics (STEM) skills are in crisis, jeopardising our capacity to mobilise as a society to fight antimicrobial resistance (AMR).
View Article and Find Full Text PDFBackground: Introduction of guidance by the National Institute for Health Research has led to an increase in participation by people with 'lived experience' of mental health problems. However, some researchers have questioned the extent to which involvement has been meaningful, expressing concerns that involvement is impeded by the structure and culture of academia. A prior review of literature to 2016 provided little evidence of active engagement.
View Article and Find Full Text PDFIntroduction: The prevalence of mild traumatic brain injury (mTBI) is commonly estimated based on indirect metrics such as emergency department visits and self-reporting tools. The study of postconcussive symptoms faces similar challenges because of their unspecific character and indistinct causality. In this article, we compare two nonclinical, epidemiological studies that addressed these two elements and were performed within a relatively narrow period in the state of Colorado.
View Article and Find Full Text PDFBiol Psychol
November 2018
The existence and updating of "sensory beliefs" or internal models can be studied using auditory evoked potentials (AEPs) when there is some form of predictable pattern in sound. Internal models are proposed to enable predictions about the most likely next sound-activation-state leading to small AEPs to standard sounds matching model predictions, and larger AEPs to sound that deviate. Internal models are precision-weighted with the standard-deviant difference being largest when precision is high (variability is low).
View Article and Find Full Text PDFBackground: Lung transplant recipients are at high risk of developing sleep disorders such as insomnia, but the prevalence and features are currently poorly characterized within this population. Since these disorders are associated with increased morbidity and mortality, it is important to identify them to optimize the care of lung transplant recipients. We sought to evaluate the prevalence of insomnia within our university-based lung transplant clinic and determine whether a relationship exists between insomnia and exposure to immunosuppressant medications following transplantation.
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