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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.

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Impulsivity resulting from frontostriatal dysfunction in drug abuse: implications for the control of behavior by reward-related stimuli.

TL;DR: The neuro-anatomical and neurochemical substrates subserving inhibitory control and motivational processes in the rodent and primate brain and their putative impact on drug seeking are considered and an integrative hypothesis for compulsive reward-seeking in drug abuse is presented.
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Predictions for the Rates of Compact Binary Coalescences Observable by Ground-based Gravitational-wave Detectors

J. Abadie, +709 more
TL;DR: In this article, the authors present an up-to-date summary of the rates for all types of compact binary coalescence sources detectable by the Initial and Advanced versions of the ground-based LIGO and Virgo Astrophysical estimates for compact-binary coalescence rates depend on a number of assumptions and unknown model parameters.
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The role of risk in consumer behavior.

James Taylor
- 01 Apr 1974 - 
TL;DR: In this article, a comprehensive theory of risk taking in consumer behavior is presented, specifying the principal concepts involved and the interrelationships between the concepts and some of the research relevant to these concepts and interrelationship is presented.
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Catalog of 558 Pulsars

TL;DR: In this paper, an up-to-date compilation of the principal observed parameters of 558 pulsars, including positions, timing parameters, pulse widths, flux densities, proper motions, distances, and dispersion, rotation, and scattering measures, is presented.
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Short-term electricity demand forecasting using double seasonal exponential smoothing

TL;DR: The forecasts produced by the new double seasonal Holt–Winters method outperform those from traditional Holt-Winters and from a well-specified multiplicative double seasonal ARIMA model.