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12/26/13
Watch-outs. 50. Big data analytics continuum, Disruptive approaches to drug discovery, Time resolved Raman spectroscopy for combusion studies
Filed under: Observ. Trends
Posted by: site admin @ 4:43 pm

SOURCE  “Performed Predictive Analytics and
Analytic queries on big data
,” Intel White Paper
Parviz Peiravi, Ajay Chandramouly, Chandhu
Yallaand Moty Fania.
Future Business conditions are predicted using
an analytics continuum model of increasing
complexity and resulting value.  This alone is
worth reading and learning how the data can be
queried.
Living by numbers alone reportedly does not work,
however.  F. Salmon, Wired, Jan. 2014, p. 27-33.
“Numbed by Numbers: Why quants don’t know
everything.”

SOURCE  SLAS ELN, “Disuptive technologies poised
to transform drug discovery”.
Open sourced 3d printing to emulate vascular structures,
fluorescing cells with clear membranes reveal drug interactions,
miniaturized spectral and mass spectral instruments
and other “disruptive innovations” are highlighted in
ELN briefs showing remarkable applications of
technologies to lead to improved therapies.
January meeting live streamed content.

SOURCE  J, J. Kojima and M. Shah, “Time Resolved
Raman scattering Spectroscopy facilitates combustion
research”
, Photonics Spectra Dec. 2013 p. 32-5.
Using a newly developed detector gating and wider dynamic
range subsystems flame instabilities can be captured
and studied in many propulsion applications.

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