J
James Taylor
Researcher at Newcastle University
Publications - 1190
Citations - 43346
James Taylor is an academic researcher from Newcastle University. The author has contributed to research in topics: Laser & Fiber laser. The author has an hindex of 95, co-authored 1161 publications receiving 39945 citations. Previous affiliations of James Taylor include Institut national de la recherche agronomique & European Spallation Source.
Papers
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Book ChapterDOI
Improvements in MPTP-induced object retrieval deficits and behavioral deficits after fetal nigral grafting in monkeys.
TL;DR: The finding that in some SN-CN grafted subjects reported here, there was evidence of increased dopamine and lowered HVA/dopamine ratio in the vicinity of the SN grafts is consistent with the hypothesis that graft-derived or graft-induced dopamine production is responsible for behavioral recovery.
Journal ArticleDOI
Hierarchical Probabilistic Forecasting of Electricity Demand With Smart Meter Data
TL;DR: A new probabilistic forecasting method for a large hierarchy based on UK residential smart meter data is introduced and it is found that, by avoiding distributional assumptions, this method captures the variety of distributions in the smart meter hierarchy.
Journal ArticleDOI
Altered frontal cortical dopaminergic transmission in monkeys after subchronic phencyclidine exposure: involvement in frontostriatal cognitive deficits
TL;DR: Data show that repeated exposure to phencyclidine reduces prefrontal cortical dopamine transmission, and this inhibition of dopaminergic function is associated with performance impairments on a task sensitive to frontostriatal cognitive dysfunction.
Journal ArticleDOI
An evaluation of Bayesian techniques for controlling model complexity and selecting inputs in a neural network for short-term load forecasting
Henrique S. Hippert,James Taylor +1 more
TL;DR: This paper evaluates techniques for automatic neural network modelling within a Bayesian framework, as applied to six samples containing daily load and weather data for four different countries, and analyzes input selection as carried out by the Bayesian 'automatic relevance determination'.
Journal ArticleDOI
A Randomized Controlled Trial of Group Versus Individual Well Child Care for High-risk Children: Maternal-Child Interaction and Developmental Outcomes
TL;DR: Developmental outcomes and maternal-child interaction are at least as good for children who received group well child care (GWCC) as compared to traditional IWCC, without any increase in provider time required.