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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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A Protocol to Map Vine Size in Commercial Single High-Wire Trellis Vineyards Using “Off-the-Shelf” Proximal Canopy-Sensing Systems

TL;DR: In this paper, the authors present a protocol for deploying proximal canopy sensors into single high-wire trellis Concord vineyards and converting the canopy sensor response into an indication of vine size (pruning weight).
Patent

Wire-guided surgical stapler for closure of a puncture site in a blood vessel

TL;DR: In this paper, a surgical stapler comprises shaft 6 with a hollow channel running throughout its length and a surgical staple is housed in the distal end of said channel and a push rod system runs along the shaft to advance and deploy the staple.
Journal ArticleDOI

Application of the synchroscan streak camera to real time picosecond measurements of molecular energy transfer

TL;DR: Using the continuously operating Synchroscan streak camera (time resolution 3-5 psec) in conjunction with the synchronous excitation pulses from a C.W. mode locked dye laser, singlet - singlet resonance energy transfer from DODCI (donor) to malachite green (acceptor) or to DQOCI in ethanolic solution has been investigated.
Journal ArticleDOI

Real representations of C2-graded groups: The antilinear theory

TL;DR: In this article, the authors used the structure of finite-dimensional graded algebras to develop the theory of antilinear representations of finite C 2 -grained groups.
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A simple index to determine if within-field spatial production variation exhibits potential management effects: application in vineyards using yield monitor data

TL;DR: In this article, a new index is proposed to identify perennial (or ordered row) fields that are likely or highly likely to have management effects within the spatial pattern of sensor data, which is determined by investigating differences in anisotropic (directional) variograms parallel and perpendicular to the direction of management (row orientation).