Publications by authors named "D T Hutchinson"

Background: Childhood adversity is robustly associated with mental ill-health. Yet questions remain about how different ways of conceptualising adversity relate to psychiatric diagnoses and service activity. This research aims to examine associations between typological and cumulative conceptualisations of adversity, and psychiatric diagnosis and service activity.

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Importance: Although prolonged fasting has become increasingly popular, the favourable biological adaptations and possible adverse effects in humans have yet to be fully elucidated.

Objective: To investigate the effects of a three-day water-only fasting, with or without exercise-induced glycogen depletion, on autophagy activation and the molecular pathways involved in cellular damage accumulation and repair in healthy humans.

Design: A randomised, single-centre, two-period, two-sequence crossover trial.

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Article Synopsis
  • The rising global impact of substance use, including various drugs, is a significant concern, particularly in Australia and New Zealand, where these substances are among the top causes of disease burden.
  • The Monitoring Illicit Substance Use (MISUse) Consortium was created to study these substances more effectively by combining data from four established cohort studies across the two countries, which will allow for larger and more comprehensive research.
  • The goal of the MISUse Consortium is to better understand the patterns and long-term effects of illicit substance use, with an emphasis on finding modifiable factors that can inform public health policies and interventions.
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Neuroprostheses typically operate under supervised learning, in which a machine-learning algorithm is trained to correlate neural or myoelectric activity with an individual's motor intent. Due to the stochastic nature of neuromyoelectric signals, algorithm performance decays over time. This decay is accelerated when attempting to regress proportional control of multiple joints in parallel, compared with the more typical classification-based pattern recognition control.

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