Publications by authors named "J Don Read"

The causal explanations voice-hearers have for their voice-hearing experiences may influence affective outcome and clinical decision making. Voice-hearers endorse a range of explanatory models, which do not consistently align with explanatory models held by healthcare professionals. Research has established that explanatory models for voice-hearing are dynamic rather than fixed, and are influenced by internal beliefs and motivations, culture, and contact with significant others.

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Aims: This study explored the prospective use of the Ages and Stages Questionnaires-3 in follow-up after cardiac surgery.

Materials And Method: For children undergoing cardiac surgery at 5 United Kingdom centres, the Ages and Stages Questionnaires-3 were administered 6 months and 2 years later, with an outcome based on pre-defined cut-points: Red = 1 or more domain scores >2 standard deviations below the normative mean, Amber = 1 or more domain scores 1-2 standard deviations below the normal range based on the manual, Green = scores within the normal range based on the manual.

Results: From a cohort of 554 children <60 months old at surgery, 306 participated in the postoperative assessment: 117 (38.

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To describe a new method for the automatic generation of process parameters for fused filament fabrication (FFF) across varying machines and materials. We use an instrumented extruder to fit a function that maps nozzle pressures across varying flow rates and temperatures for a given machine and material configuration. We then develop a method to extract real parameters for flow rate and temperature using relative pressures and temperature offsets.

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Background And Aims: Tropical forests exchange more carbon dioxide (CO2) with the atmosphere than any other terrestrial biome. Yet, uncertainty in the projected carbon balance over the next century is roughly three-times greater for the tropics than other ecosystems. Our limited knowledge of tropical plant physiological responses, including photosynthetic, to climate change is a substantial source of uncertainty in our ability to forecast the global terrestrial carbon sink.

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