Publications by authors named "N J Rinehart"

The construction, management, and analysis of large molecular libraries is critical in many areas of modern chemistry. Herein, we introduce the MOLecular LIibrary toolkit, "molli", which is a Python 3 cheminformatics module that provides a streamlined interface for manipulating large libraries. Three-dimensional, combinatorial molecule libraries can be expanded directly from two-dimensional chemical structure fragments stored in CDXML files with high stereochemical fidelity.

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Background: Access to behavioural sleep intervention is beneficial for autistic children, yet many families face barriers to access associated with location and time. Preliminary evidence supports telehealth-delivered sleep intervention. However, no studies have evaluated brief telehealth sleep intervention.

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  • Prenatal exposure to bisphenol A (BPA) is linked to increased autism symptoms and diagnosis in young boys with low aromatase gene activity.
  • Research indicates that high BPA levels impact brain methylation patterns related to aromatase, which may mediate the risk of autism.
  • Male mice studies suggest that mid-gestation BPA exposure causes ASD-like behaviors, but these can be improved with the intervention of 10-hydroxy-2-decenoic acid (10HDA).
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  • * The study involved a randomized controlled trial with 245 participants, comparing the intervention group (123 kids) to a usual treatment group (122 kids), assessing costs and quality-adjusted life-years (QALYs) over 6 months.
  • * Results showed that while the intervention had higher costs (mean difference of A$745 and A$1310 from two perspectives), it also led to better sleep outcomes (mean QALY difference of 0.038), indicating a 93.8% chance of being cost-effective
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The interactions between sleep problems, autism symptoms and emotional and behavioural difficulties were explored using network analysis in 240 autistic children (mean age: 8.8 years, range 5-13 years) with moderate to severe sleep problems. Findings revealed a highly connected and interpretable network, with three separate clusters identified of the modelled variables.

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