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NASA Scientific and Technical Aerospace Reports

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esearchers will send to the ISS aboard the shuttle. With hoth, scientists hope to gain insight into how space travel might affect<br />

astronauts genes.<br />

Author<br />

Gene Expression; Microgravity<br />

20040068281 Lawrence Livermore National Lab., Livermore, CA<br />

Individual Radiation Protection Monitoring in the Marshall Isl<strong>and</strong>s: Enewtak Isl<strong>and</strong> Resettlement Support (May-<br />

December 2001)<br />

Hamilton, T.; Hickman, D.; Conrado, C.; Brown, T.; Brunk, J.; Jun. 01, 2002; In English<br />

Report No.(s): DE2003-15004810; UCRL-LR-149601; No Copyright; Avail: National <strong>Technical</strong> Information Service (NTIS)<br />

The US Department of Energy (DOE) has recently implemented a series of strategic initiatives to address long-term<br />

radiological surveillance needs at former US test sites in the Marshall Isl<strong>and</strong>s. The plan is to engage local atoll communities<br />

in developing shared responsibilities for implementing radiation protection programs for resettled <strong>and</strong> resettling populations.<br />

Using pooled resources of the US Department of Energy <strong>and</strong> local atoll governments, individual radiation protection programs<br />

have been developed in whole-body counting <strong>and</strong> plutonium urinalysis to assess potential intakes of radionuclides from<br />

residual fallout contamination. The whole-body counting systems are operated <strong>and</strong> maintained by Marshallese technicians.<br />

Samples of urine are collected from resettlement workers <strong>and</strong> isl<strong>and</strong> residents under controlled conditions <strong>and</strong> analyzed for<br />

plutonium isotopes at the Lawrence Livermore National Laboratory using advanced accelerator based measurement<br />

technologies. This web site provides an overview of the methodologies, a full disclosure of the measurement data, <strong>and</strong> a yearly<br />

assessment of estimated radiation doses to resettlement workers <strong>and</strong> isl<strong>and</strong> residents<br />

NTIS<br />

Dosage; Radioactive Isotopes; Radiation Detectors; Radiation Protection<br />

20040068283 <strong>NASA</strong> Ames Research Center, Moffett Field, CA, USA<br />

Single-Trial Characterization of Evoked Responses: Bayesian Estimation <strong>and</strong> Differentially Variable Component<br />

Analysis<br />

Knuth, Kevin H.; [2004]; 1 pp.; In English; EPIC XIV Meeting, 28-31 Mat. 2004, Leipzig, Germany; No Copyright; Avail:<br />

Other Sources; Abstract Only<br />

Brain responses are dynamic, state dependent, <strong>and</strong> change over time. In acknowledging this, it is becoming increasingly<br />

more important to characterize single trial responses. Using Bayesian probability theory, I demonstrate how a more complex<br />

signal model that accounts for amplitude <strong>and</strong> latency variability in the single trial allows one to characterize <strong>and</strong> examine<br />

single trial responses. Furthermore, the fact that different neural ensembles exhibit differential variability patterns allows one<br />

to tease apart these mixed signals <strong>and</strong> isolate signals generated from different neural ensembles. This new technique, called<br />

differentially Variable Component Analysis (dVCA) allows one to separate, identify, <strong>and</strong> characterize single trial responses<br />

from simultaneously active sources. Interactions among the ensembles can be studied by examining their single trial<br />

properties. I will demonstrate the technique using simulations as well as intracortical field potentials recorded from a linear<br />

multi-electrode array in a macaque experiencing visual stimulation.<br />

Author<br />

Bayes Theorem; Brain; Signal Analysis<br />

20040070835 <strong>NASA</strong> Stennis Space Center, Bay Saint Louis, MS, USA<br />

Software for Preprocessing Data from Rocket-Engine Tests<br />

Cheng, Chiu-Fu; [2004]; 1 pp.; In English<br />

Report No.(s): <strong>NASA</strong>/NP-2002-06-00023; SSC-00151; SSC-00153; SSC-00160; No Copyright; Avail: CASI; A01, Hardcopy<br />

Three computer programs have been written to preprocess digitized outputs of sensors during rocket-engine tests at<br />

Stennis Space Center (SSC). The programs apply exclusively to the SSC E test-st<strong>and</strong> complex <strong>and</strong> utilize the SSC file format.<br />

The programs are the following: Engineering Units Generator (EUGEN) converts sensor-output-measurement data to<br />

engineering units. The inputs to EUGEN are raw binary test-data files, which include the voltage data, a list identifying the<br />

data channels, <strong>and</strong> time codes. EUGEN effects conversion by use of a file that contains calibration coefficients for each<br />

channel. QUICKLOOK enables immediate viewing of a few selected channels of data, in contradistinction to viewing only<br />

after post-test processing (which can take 30 minutes to several hours depending on the number of channels <strong>and</strong> other test<br />

parameters) of data from all channels. QUICKLOOK converts the selected data into a form in which they can be plotted in<br />

engineering units by use of Winplot (a free graphing program written by Rick Paris). EUPLOT provides a quick means for<br />

156

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