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To demonstrate the capability of the system we present preliminary results with both homogeneous and layered snow samples.
The system we present in this paper provides remote access to real equipment used in a Computer Architecture laboratory.
While any information about function can be used by the system, we present estimates of performance that are valid when only the amino acid sequence of a protein is known.
In contrast, the system we present is genetically selective and shows no inhibitory effects on wild type T cells at the inhibitor concentrations used.
The system we present, called Chromium, uses the notion of stream processing to achieve scalability while retaining maximal flexibility.
The development of the system we present has its inspiration taken from the central auditory system (CAS) of the mammalian brain.
Additional implications of the system we present include its integration in advanced semantic interpretation processors for biomedical text and its use for information extraction in specific domains.
The system we present was developed for the REVERB challenge.
For the system we present here, only those mutations cause functional change, which induce a qualitative alteration in the shape of the nullclines, represented in the Backbone of requirements for the FFL response (BR) [ 26].
On this system we present the first near-optimal strong results for LBM with arterial geometries run on GPUS.
Here, using this system, we present the Glu-specific triggered Ca2+ response in rice roots.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com