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David A. Jackson

Researcher at King's College London

Publications -  1166
Citations -  76015

David A. Jackson is an academic researcher from King's College London. The author has contributed to research in topics: Optical fiber & Interferometry. The author has an hindex of 136, co-authored 1095 publications receiving 68352 citations. Previous affiliations of David A. Jackson include University of California, Berkeley & University of Alberta.

Papers
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Angiogenesis and Lymphangiogenesis in Parathyroid Proliferative Lesions

TL;DR: This study shows increased angiogenesis in parathyroid proliferative lesions compared with normal glands and suggests that FGF-2 is proangiogenic inParathyroid tissue, but the lack of correlation with VEGF-C expression suggests that VEGf-C is not the primary lymphangiogenesis factor.
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The LCFIVertex package: Vertexing, flavour tagging and vertex charge reconstruction with an ILC vertex detector

TL;DR: The LCFIVertex software as mentioned in this paper provides tools for vertex finding and for identification of the flavour and charge of the leading hadron in heavy flavour jets, which is essential for the ongoing optimisation of the vertex detector design for linear colliders such as the ILC.
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Feline lymphangiosarcoma - definitive identification using a lymphatic vascular marker

TL;DR: In this article, three cases of feline exudative dermatitis associated with lymphangiosarcoma were described, and histopathological examination of skin biopsies from the abdomen identified poorly defined neoplasia involving dermis and subcutis, characterized by proliferation of spindle cells aligned along preexisting collagen bundles.
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Detection of DC and low-frequency AC magnetic fields using an all single-mode fibre magnetometer

TL;DR: In this article, the dependence between the AC responsitivity and bias field is exploited to detect small changes in the bias field, which can be used to determine weak DC and low-frequency AC magnetic fields using a singlemode fibre magnetometer.
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Minimal genome-wide human CRISPR-Cas9 library.

TL;DR: MinLibCas9 as discussed by the authors is an optimized minimal genome-wide human CRISPR-Cas9 library by mining existing large-scale gene loss-of-function datasets, resulting in a greater than 42% reduction in size compared to other CRisPR-cas9 libraries while preserving assay sensitivity and specificity.