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Other critical issues that add to the computational burden are: data interface with a limited bandwidth, the frequency of updating of data during a pandemic progress, pre-processing (filtering and quality assurance) requirement for raw data, and the need for data translation into parameter values using methods, like maximum likelihood estimation and other arithmetic conversions.
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However, four themes spontaneously and surprisingly arose from the data: translation for collaboration, the meaning of CDS, new roles for essential people, and communication, training, and support.
In the same vein, data translation also arises as a complex challenge for researchers.
The company, which has just scored a seed investment of €540k from Leonardo Venture, BWM, and various unnamed angels, is developing technology to enable developers to write to a single API that will connect to and handle data translations for an ever growing list of IoT devices and related services.
The main instruments utilized for data collection were two tests, a translation test (containing 40 idioms in sentences) and a value-judgement test (containing 30 items).
The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1471-2407/10/355/prepub The authors thank Victoria Champion for allowing them to use her Health Belief Model scale, Laeticia Becq-Giraudon and Nicolas Mériau, clinical research assistants, for data collection and Marian Green for her translation of the manuscript.
Each translator for the source text contains a "topic space" which is a common subspace to associate the data for translation.
Furthermore, modeling the preclinical data for translation has faithfully predicted the PK/PD of CSF Aβ lowering in both NHVs and AD patients.
In order to provide proof of concept data for translation of findings in preclinical models to the bedside, we have demonstrated that human regulatory T cells expanded ex vivo can protect human allografts (skin and vessels) from rejection [ 2, 3].
Although there are discussions about their ability to generate meaningful data for the translation from animal to humans, it appears that better data quality and better design of the preclinical experiments, together with appropriate data analysis approaches could make these data more informative for clinical development.
This technology may be the end of the translation dictionary and as a bonus the app uses Glass' local storage, eliminating the need for data connectivity.
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CEO of Professional Science Editing for Scientists @ prosciediting.com