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Andrew J. Martin
Researcher at University of New South Wales
Publications - 897
Citations - 43053
Andrew J. Martin is an academic researcher from University of New South Wales. The author has contributed to research in topics: Medicine & Academic achievement. The author has an hindex of 84, co-authored 819 publications receiving 36203 citations. Previous affiliations of Andrew J. Martin include University of Western Australia & Max Planck Society.
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What evidence exists for temporal variability in Arctic terrestrial and freshwater biodiversity throughout the Holocene? A systematic map protocol
Andrew J. Martin,Jakob J. Assmann,Richard H. W. Bradshaw,Mari Kuoppamaa,Niina Kuosmanen,Signe Normand,James D. M. Speed,Marc Macias-Fauria +7 more
TL;DR: A systematic evidence synthesis of centennial-scale variability in biodiversity does not currently exist for the Arctic biome as discussed by the authors , and the authors sought to address the primary research question: what evidence exists for temporal variability in Arctic terrestrial and freshwater biodiversity throughout the Holocene (11,650 years before present (yBP)—0yBP).
EVERSUN: A phase 2 trial of alternating sunitinib and everolimus as first-line therapy for advanced renal cell carcinoma
Ian D. Davis,Anne Long,Sonia Yip,David Espinoza,Jennifer F. Thompson,Ganessan Kichenadasse,Michelle Harrison,Michelle Harrison,Ray M. Lowenthal,Nick Pavlakis,Arun Azad,George Kannourakis,Christopher Steer,David Goldstein,Jeremy Shapiro,Rozelle Harvie,Lidija Jovanovic,Amanda L. Hudson,Colleen C. Nelson,Martin R. Stockler,Andrew J. Martin +20 more
TL;DR: In this article, a single-arm, two-stage, multicentre, phase 2 trial to determine the activity, feasibility, and safety of 12-week cycles of sunitinib 50 mg daily 4 weeks on/2 weeks off, alternating with everolimus 10 mg daily for 5 weeks on / 1 week off, until disease progression or prohibitive toxicity in advanced renal cell carcinoma (aRCC).
Posted Content
CRC: Fully General Model of Confidential Remote Computing.
TL;DR: In this article, the authors present a dedicated Confidential Remote Computing (CRC) model for next-generation applications to be built on strong hardware-based security primitives, control of secure software products' trusted computing base, and a way to make correct use of proofs and evidence reports generated by the attestation mechanisms.