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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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High-precision timing observations of the millisecond pulsar PSR1937 + 21

TL;DR: In this article, the authors place a limit on the energy density of low-frequency gravitational waves in the universe and show that over periods exceeding six months, this pulsar is at least comparable in stability to the best man-made atomic clocks.
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Missed opportunities for adolescent vaccination, 2006-2011.

TL;DR: In this article, the authors describe missed opportunities for meningococcal (MCV), tetanus, diphtheria, acellular pertussis (Tdap), and human papillomavirus (HPV) vaccination among adolescents.
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New technologies and methodologies for site-specific viticulture

TL;DR: A review of the tools and methods that have already been released or are currently under development to assess production variability in vineyards can be found in this paper, where the main experimental results from a recent assessment of the within-field variability of the main parameters in grape production : yield, sugar content, pH, vigour and also vine water status and its link with harvest quality.
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Coupled-cavity erbium fiber lasers incorporating fiber grating reflectors.

TL;DR: In this article, a novel multiple-cavity erbium-doped fiber laser with simultaneous dual single-frequency lasing is presented. Butler et al. achieved a 16-kHz linewidth and a frequency separation of 59 GHz with a stability of better than 3 MHz in this dual-frequency laser.
Journal Article

Density Forecasting of Intraday Call Center Arrivals Using Models Based on Exponential Smoothing

TL;DR: A Poisson count model, with gamma distributed arrival rate, is developed, which captures the essential features of this exponential smoothing method and is confirmed by the results of a call center simulation model, which demonstrates the use of arrival rate density forecasting to support staffing decisions.