Honeycomb Carbon: A Review of Graphene
ADVERTISEMENT RETURN TO ISSUEPREVReviewNEXTHoneycomb Carbon: A Review of GrapheneMatthew J. Allen†, Vincent C. Tung‡, and Richard B. Kaner*†‡View Author Information Department o...
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UniProt: the universal protein knowledgebase in 2021
Abstract The aim of the UniProt Knowledgebase is to provide users with a comprehensive, high-quality and freely accessible set of protein sequences annotated with functional inf...
Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in <i>Phenix</i>
Diffraction (X-ray, neutron and electron) and electron cryo-microscopy are powerful methods to determine three-dimensional macromolecular structures, which are required to under...
Segment Anything
We introduce the Segment Anything (SA) project: a new task, model, and dataset for image segmentation. Using our efficient model in a data collection loop, we built the largest ...
BEAST 2: A Software Platform for Bayesian Evolutionary Analysis
We present a new open source, extensible and flexible software platform for Bayesian evolutionary analysis called BEAST 2. This software platform is a re-design of the popular B...
The IntCal20 Northern Hemisphere Radiocarbon Age Calibration Curve (0–55 cal kBP)
ABSTRACT Radiocarbon ( 14 C) ages cannot provide absolutely dated chronologies for archaeological or paleoenvironmental studies directly but must be converted to calendar age eq...
One size fits all? What counts as quality practice in (reflexive) thematic analysis?
Developing a universal quality standard for thematic analysis (TA) is complicated by the existence of numerous iterations of TA that differ paradigmatically, philosophically and...
Updated guidance for trusted systematic reviews: a new edition of the Cochrane Handbook for Systematic Reviews of Interventions
On a shelf in the sunny, open‐plan office of Cochrane Australia in Melbourne, there's a large, white ring‐binder that, it's fair to say, hasn't been opened in a while. It's a pr...
Dual Attention Network for Scene Segmentation
In this paper, we address the scene segmentation task by capturing rich contextual dependencies based on the self-attention mechanism. Unlike previous works that capture context...