Sample records for type sample id

  1. Id-1 gene and gene products as therapeutic targets for treatment of breast cancer and other types of carcinoma

    SciTech Connect (OSTI)

    Desprez, Pierre-Yves; Campisi, Judith

    2014-08-19T23:59:59.000Z

    A method for treatment of breast cancer and other types of cancer. The method comprises targeting and modulating Id-1 gene expression, if any, for the Id-1 gene, or gene products in breast or other epithelial cancers in a patient by delivering products that modulate Id-1 gene expression. When expressed, Id-1 gene is a prognostic indicator that cancer cells are invasive and metastatic.

  2. Reference Potential source Data type Sampling site Type of samples Number of samples Method of source

    E-Print Network [OSTI]

    Meskhidze, Nicholas

    samples for Saharan dust from Libya back trajectory analysis Kandler et al. 2009 PSA NAF-2 Illite NAF-4 Illite/kaolinite ratio Chlorite/kaolinite ratio Carbonate content Libya (here: central

  3. Id-1 and Id-2 genes and products as therapeutic targets for treatment of breast cancer and other types of carcinoma

    SciTech Connect (OSTI)

    Desprez, Pierre-Yves; Campisi, Judith

    2014-09-30T23:59:59.000Z

    A method for treatment and amelioration of breast, cervical, ovarian, endometrial, squamous cells, prostate cancer and melanoma in a patient comprising targeting Id-1 or Id-2 gene expression with a delivery vehicle comprising a product which modulates Id-1 or Id-2 expression.

  4. Id-1 and Id-2 genes and products as markers of epithelial cancer

    SciTech Connect (OSTI)

    Desprez, Pierre-Yves (El Cerrito, CA); Campisi, Judith (Berkeley, CA)

    2011-10-04T23:59:59.000Z

    A method for detection and prognosis of breast cancer and other types of cancer. The method comprises detecting expression, if any, for both an Id-1 and an Id-2 genes, or the ratio thereof, of gene products in samples of breast tissue obtained from a patient. When expressed, Id-1 gene is a prognostic indicator that breast cancer cells are invasive and metastatic, whereas Id-2 gene is a prognostic indicator that breast cancer cells are localized and noninvasive in the breast tissue.

  5. Id-1 and Id-2 genes and products as markers of epithelial cancer

    DOE Patents [OSTI]

    Desprez, Pierre-Yves (El Cerrito, CA); Campisi, Judith (Berkeley, CA)

    2008-09-30T23:59:59.000Z

    A method for detection and prognosis of breast cancer and other types of cancer. The method comprises detecting expression, if any, for both an Id-1 and an Id-2 genes, or the ratio thereof, of gene products in samples of breast tissue obtained from a patient. When expressed, Id-1 gene is a prognostic indicator that breast cancer cells are invasive and metastatic, whereas Id-2 gene is a prognostic indicator that breast cancer cells are localized and noninvasive in the breast tissue.

  6. ExSample -- A Library for Sampling Sudakov-Type Distributions

    E-Print Network [OSTI]

    Simon Platzer

    2012-03-19T23:59:59.000Z

    Sudakov-type distributions are at the heart of generating radiation in parton showers as well as contemporary NLO matching algorithms along the lines of the POWHEG algorithm. In this paper, the C++ library ExSample is introduced, which implements adaptive sampling of Sudakov-type distributions for splitting kernels which are in general only known numerically. Besides the evolution variable, the splitting kernels can depend on an arbitrary number of other degrees of freedom to be sampled, and any number of further parameters which are fixed on an event-by-event basis.

  7. Map ID

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn12electronEnergy Manufacturing Energy andYou areID 90 Map

  8. stellar populations of early-type galaxies in the ATLAS^^sample

    E-Print Network [OSTI]

    Bureau, Martin

    , F-69230 Saint Genis Laval; CNRS, UMR 5574; ENS de Lyon, France ^LaboratoireAIM, CEA-SaclaylDSM/IRFU/SAp the ATLAS^^ project and our first results on the stellar populations of galaxies in the ATLAS^^ sample based Early-type galaxies (ETGs) are stellar systems with no evidence of spiral arms and in many cases

  9. 27-ID and 35-ID Construction Schedule | Advanced Photon Source

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    27-ID and 35-ID Past 27-ID and 35-ID Installation schedule for the sector 27 Control room. Receive materials on Friday March 10, 2014 Installation starts on Monday March 10, 2014...

  10. REDSHIFT-DISTANCE SURVEY OF EARLY-TYPE GALAXIES. I. THE ENEARc CLUSTER SAMPLE1 M. Bernardi,2,3

    E-Print Network [OSTI]

    Maia, Marcio Antonio Geimba

    REDSHIFT-DISTANCE SURVEY OF EARLY-TYPE GALAXIES. I. THE ENEARc CLUSTER SAMPLE1 M. Bernardi,2,3 M. V subsample of the larger ENEAR survey of nearby early-type gal- axies. The ENEARc galaxies belong to clusters and were specifically chosen to be used for the construction of a Dn- template. The ENEARc sample includes

  11. Beamline 29-ID

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    (29-ID): The Intermediate Energy X-Ray (IEX) beamline 29-ID is currently under commissioning and construction. The general user program is expected to start in 2015. This...

  12. Sampling the Probability Distribution of Type Ia Supernova Lightcurve Parameters in Cosmological Analysis

    E-Print Network [OSTI]

    Dai, Mi

    2015-01-01T23:59:59.000Z

    In order to obtain robust cosmological constraints from Type Ia supernova (SN Ia) data, we have applied Markov Chain Monte Carlo (MCMC) to SN Ia lightcurve fitting. We develop a method for sampling the resultant probability density distributions (pdf) of the SN Ia lightcuve parameters in the MCMC likelihood analysis to constrain cosmological parameters. Applying this method to the Joint Lightcurve Analysis (JLA) data set of SNe Ia, we find that sampling the SN Ia lightcurve parameter pdf's leads to cosmological parameters closer to that of a flat Universe with a cosmological constant, compared to the usual practice of using only the best fit values of the SN Ia lightcurve parameters. Our method will be useful in the use of SN Ia data for precision cosmology.

  13. LATE-TIME CIRCUMSTELLAR INTERACTION IN A SPITZER SELECTED SAMPLE OF TYPE IIn SUPERNOVAE

    SciTech Connect (OSTI)

    Fox, Ori D.; Filippenko, Alexei V.; Silverman, Jeffrey M.; Ganeshalingam, Mohan; Cenko, S. Bradley; Clubb, Kelsey I. [Department of Astronomy, University of California, Berkeley, CA 94720-3411 (United States); Skrutskie, Michael F., E-mail: ofox@berkeley.edu [Department of Astronomy, University of Virginia, Charlottesville, VA 22903 (United States)

    2013-07-01T23:59:59.000Z

    Type IIn supernovae (SNe IIn) are a rare (<10%) subclass of core-collapse SNe that exhibit relatively narrow emission lines from a dense, pre-existing circumstellar medium (CSM). In 2009, a warm Spitzer Space Telescope survey observed 30 SNe IIn discovered in 2003-2008 and detected 10 SNe at distances out to 175 Mpc with unreported late-time infrared emission, in some cases more than 5 yr post-discovery. For this single epoch of data, the warm-dust parameters suggest the presence of a radiative heating source consisting of optical and X-ray emission continuously generated by ongoing CSM interaction. Here we present multi-wavelength follow-up observations of this sample of 10 SNe IIn and the well-studied Type IIn SN 2010jl. A recent epoch of Spitzer observations reveals ongoing mid-infrared emission from nine of the SNe in this sample. We also detect three of the SNe in archival Wide-field Infrared Survey Explorer data, in addition to SNe 1987A, 2004dj, and 2008iy. For at least five of the SNe in the sample, optical and/or X-ray emission confirms the presence of radiative emission from ongoing CSM interaction. The two Spitzer nondetections are consistent with the forward shock overrunning and destroying the dust shell, a result that places upper limits on the dust-shell size. The optical and infrared observations confirm the radiative heating model and constrain a number of model parameters, including progenitor mass-loss characteristics. All of the SNe in this sample experienced an outburst on the order of tens to hundreds of years prior to the SN explosion followed by periods of less intense mass loss. Although all evidence points to massive progenitors, the variation in the data highlights the diversity in SN IIn progenitor evolution. While these observations do not identify a particular progenitor system, they demonstrate that future, coordinated, multi-wavelength campaigns can constrain theoretical mass-loss models.

  14. A low-luminosity type-1 QSO sample: II. Overluminous host spheroidals or undermassive black holes?

    E-Print Network [OSTI]

    Busch, Gerold; Valencia-S., Mónica; Moser, Lydia; Fischer, Sebastian; Eckart, Andreas; Scharwächter, Julia; Gadotti, Dimitri A; Wisotzki, Lutz

    2013-01-01T23:59:59.000Z

    Recognizing the properties of the host galaxies of quasi-stellar objects (QSOs) is essential to understand the suspected coevolution of central supermassive black holes (BHs) and their host galaxies. We selected a subsample of the Hamburg/ESO survey for bright UV-excess QSOs, containing only the 99 nearest QSOs with redshift z<=0.06, that are close enough to allow detailed structural analysis. From this "low-luminosity type-1 QSO sample", we observed 20 galaxies and performed aperture photometry and bulge-disk-bar-AGN-decomposition with BUDDA on near-infrared J, H, K band images. From the photometric decomposition of these 20 objects and visual inspection of images of another 26, we find that ~50% of the hosts are disk galaxies and most of them (86%) are barred. Stellar masses, calculated from parametric models based on inactive galaxy colors, range from 2x10^9 M_sun to 2x10^11 M_sun. Black hole masses measured from single epoch spectroscopy range from 1x10^6 M_sun to 5x10^8 M_sun. In comparison to higher ...

  15. Baseline Design Compliance Matrix for the Type 4 In Situ Vapor Samplers and Supernate and Sludge and Soft Saltcake Grab Sampling

    SciTech Connect (OSTI)

    BOGER, R.M.

    2000-09-28T23:59:59.000Z

    The DOE has identified a need to sample vapor space, exhaust ducts, supernate, sludge, and soft saltcake in waste tanks that store radioactive waste. This document provides the Design Compliance Matrix (DCM) for the Type 4 In-Situ Vapor Sampling (ISVS) system and the Grab Sampling System that are used for completing this type of sampling function. The DCM identifies the design requirements and the source of the requirements for the Type 4 ISVS system and the Grab Sampling system. The DCM is a single-source compilation design requirements for sampling and sampling support equipment and supports the configuration management of these systems.

  16. DOE/ID-Number

    Energy Savers [EERE]

    Report UCRL-ID-133846. Walker, J.S. 2009. The Road to Yucca Mountain. Berkeley, CA: University of California Press. Warner, D.L. 1972. Survey of Industrial Waste Injection...

  17. Transition from stable orbit to chaotic dynamics in hybrid systems of Filippov type with digital sampling

    E-Print Network [OSTI]

    Paul Glendinning; Piotr Kowalczyk

    2009-01-20T23:59:59.000Z

    We demonstrate on a representative example of a planar hybrid system with digital sampling a sudden transition from a stable limit cycle to the onset of chaotic dynamics. We show that the scaling law in the size of the attractor is proportional to the digital sampling time $\\tau$ for sufficiently small values of $\\tau.$ Numerical and analytical results are given. The scaling law changes to a nonlinear law for large values of the sampling time $\\tau.$ This phenomenon is explained by the change in the boundedness of the attractor.

  18. 4-ID-D optics

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    4-ID-D Beamline Optics A schetch of the major optical components for beam line 4-ID-D are shown above. All these components located in the B-station upstream from the D...

  19. Beamline 4-ID-D

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    D Home Recent Publications Beamline Info Optics Instrumentation Software User Info FAQs Beamline 4-ID-D Beamline 4-ID-D is operated by the Magnetic Materials Group in the X-ray...

  20. Spectroscopic Properties of Star-Forming Host Galaxies and Type Ia Supernova Hubble Residuals in a Nearly Unbiased Sample

    SciTech Connect (OSTI)

    D'Andrea, Chris B. [Univ. of Pennsylvania, Philadelphia, PA (United States); et al.

    2011-12-20T23:59:59.000Z

    We examine the correlation between supernova host galaxy properties and their residuals on the Hubble diagram. We use supernovae discovered during the Sloan Digital Sky Survey II - Supernova Survey, and focus on objects at a redshift of z < 0.15, where the selection effects of the survey are known to yield a complete Type Ia supernova sample. To minimize the bias in our analysis with respect to measured host-galaxy properties, spectra were obtained for nearly all hosts, spanning a range in magnitude of -23 < M_r < -17. In contrast to previous works that use photometric estimates of host mass as a proxy for global metallicity, we analyze host-galaxy spectra to obtain gas-phase metallicities and star-formation rates from host galaxies with active star formation. From a final sample of ~ 40 emission-line galaxies, we find that light-curve corrected Type Ia supernovae are ~ 0.1 magnitudes brighter in high-metallicity hosts than in low-metallicity hosts. We also find a significant (> 3{\\sigma}) correlation between the Hubble residuals of Type Ia supernovae and the specific star-formation rate of the host galaxy. We comment on the importance of supernova/host-galaxy correlations as a source of systematic bias in future deep supernova surveys.

  1. Copyright 2004 Auto-ID Labs, All Rights Reserved The Auto-ID Labs

    E-Print Network [OSTI]

    Brock, David

    Reserved Several Types of Webs · The Web of Information HTML and the World Wide Web · The Web of Things-ID Labs, All Rights Reserved A Special Word of Thanks to my Colleagues · Stuart J. Allen - Professor Reserved A Special Word of Thanks to my Colleagues (continued) · Nhat-So Lam ­ Family Retail Business

  2. Data ID Service

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctoberDaniel WoodID Service First DOI

  3. T ID CODE I

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA Approved:AdministrationAnalysisDarby Dietrich5 | NUMBER 1 | MARCHT ID CODE I

  4. APS Beamline 6-ID-D

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    MM-Group Home MMG Advisory Committees 6-ID-D Home Recent Publications Beamline Info Optics Instrumentation Software User Info Beamline 6-ID-D Beamline 6-ID-D is operated by the...

  5. ID-69 Sodium drain experiments

    SciTech Connect (OSTI)

    Johnston, D.C.

    1996-09-19T23:59:59.000Z

    This paper describes experiments to determine the sodium retention and drainage from the two key areas of an ID-69. This information is then used as the initiation point for guidelines of how to proceed with washing an ID-69 in the IEM Cell Sodium Removal System.

  6. Property:DSIRE/Id | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,PillarPublicationType JumpDOEInvolve Jump to: navigation, search PropertyDtAddId

  7. Bull Test ID 1118 2013 Florida Bull Test

    E-Print Network [OSTI]

    Jawitz, James W.

    Bull Test ID 1118 2013 Florida Bull Test #12;Bull Test ID 1119 2013 Florida Bull Test #12;Bull Test ID 1120 2013 Florida Bull Test #12;Bull Test ID 1121 2013 Florida Bull Test #12;Bull Test ID 1122 2013 Florida Bull Test #12;Bull Test ID 1123 2013 Florida Bull Test #12;Bull Test ID 1124 2013 Florida

  8. Bull Test ID 1181 2013 Florida Bull Test

    E-Print Network [OSTI]

    Jawitz, James W.

    Bull Test ID 1181 2013 Florida Bull Test #12;Bull Test ID 1182 2013 Florida Bull Test #12;Bull Test ID 1183 2013 Florida Bull Test #12;Bull Test ID 1184 2013 Florida Bull Test #12;Bull Test ID 1185 2013 Florida Bull Test #12;Bull Test ID 1186 2013 Florida Bull Test #12;Bull Test ID 1187 2013 Florida

  9. Bull Test ID 1098 2013 Florida Bull Test

    E-Print Network [OSTI]

    Jawitz, James W.

    Bull Test ID 1098 2013 Florida Bull Test #12;Bull Test ID 1099 2013 Florida Bull Test #12;Bull Test ID 1100 2013 Florida Bull Test #12;Bull Test ID 1101 2013 Florida Bull Test #12;Bull Test ID 1102 2013 Florida Bull Test #12;Bull Test ID 1103 2013 Florida Bull Test #12;Bull Test ID 1104 2013 Florida

  10. Bull Test ID 1160 2013 Florida Bull Test

    E-Print Network [OSTI]

    Jawitz, James W.

    Bull Test ID 1160 2013 Florida Bull Test #12;Bull Test ID 1161 2013 Florida Bull Test #12;Bull Test ID 1162 2013 Florida Bull Test #12;Bull Test ID 1163 2013 Florida Bull Test #12;Bull Test ID 1164 2013 Florida Bull Test #12;Bull Test ID 1165 2013 Florida Bull Test #12;Bull Test ID 1166 2013 Florida

  11. Bull Test ID 1140 2013 Florida Bull Test

    E-Print Network [OSTI]

    Jawitz, James W.

    Bull Test ID 1140 2013 Florida Bull Test #12;Bull Test ID 1141 2013 Florida Bull Test #12;Bull Test ID 1142 2013 Florida Bull Test #12;Bull Test ID 1143 2013 Florida Bull Test #12;Bull Test ID 1144 2013 Florida Bull Test #12;Bull Test ID 1145 2013 Florida Bull Test #12;Bull Test ID 1146 2013 Florida

  12. High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 7)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Nelson, Johanna

    This is the fourth of five exposures of the same sample at different tilts. This one is at -15 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

  13. High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 4)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Nelson, Johanna

    This is the first of five exposures of the same sample at different tilts. This one is at +0 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

  14. High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 8)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Nelson, Johanna

    This is the fifth of five exposures of the same sample at different tilts. This one is at -30 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

  15. High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 5)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Nelson, Johanna

    This is the second of five exposures of the same sample at different tilts. This one is at +15 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

  16. High-resolution x-ray diffraction microscopy of specifically labeled yeast cells (CXIDB ID 6)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Nelson, Johanna

    This is the third of five exposures of the same sample at different tilts. This one is at +30 degrees tilt. Check CXI IDs 4 to 8 for the complete set.

  17. Sampling and Analysis of the Headspace Gas in 3013 Type Plutonium Storage Containers at Los Alamos National Laboratory

    SciTech Connect (OSTI)

    Jackson, Jay M. [Los Alamos National Laboratory; Berg, John M. [Los Alamos National Laboratory; Hill, Dallas D. [Los Alamos National Laboratory; Worl, Laura A. [Los Alamos National Laboratory; Veirs, Douglas K. [Los Alamos National Laboratory

    2012-07-11T23:59:59.000Z

    Department of Energy (DOE) sites have packaged approximately 5200 3013 containers to date. One of the requirements specified in DOESTD-3013, which specifies requirements for packaging plutonium bearing materials, is that the material be no greater than 0.5 weight percent moisture. The containers are robust, nested, welded vessels. A shelf life surveillance program was established to monitor these cans over their 50 year design life. In the event pressurization is detected by radiography, it will be necessary to obtain a head space gas sample from the pressurized container. This technique is also useful to study the head space gas in cans selected for random destructive evaluation. The atmosphere is sampled and the hydrogen to oxygen ratio is measured to determine the effects of radiolysis on the moisture in the container. A system capable of penetrating all layers of a 3013 container assembly and obtaining a viable sample of the enclosed gas and an estimate of internal pressure was designed.

  18. APS Beamline 6-ID-B,C

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    x-ray scattering studies of materials. The beamline has 2 end-stations: 6-ID-B: Psi -Diffractomter & In-Field Studies 6-ID-C: UHV in-situ growth Recent Research Highlights...

  19. APS Beamline 6-ID-D

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    D Home Recent Publications Beamline Info Optics Instrumentation Software User Info Beamline 6-ID-D Beamline 6-ID-D is operated by the Magnetic Materials Group in the X-ray Science...

  20. REQUEST FOR ADVANCE Employee Name: SU ID #

    E-Print Network [OSTI]

    Carter, John

    (RINA 219) Fax: 206-398-4402 Email: bixlers@seattleu.edu FOR OFFICIAL USE ONLY SU ID #: Previous Request

  1. Bull Test ID 1077 2013 Florida Bull Test

    E-Print Network [OSTI]

    Jawitz, James W.

    14th Annual Florida Bull Test #12;Bull Test ID 1077 2013 Florida Bull Test #12;Bull Test ID 1078 2013 Florida Bull Test #12;Bull Test ID 1079 2013 Florida Bull Test #12;Bull Test ID 1080 2013 Florida Bull Test #12;Bull Test ID 1081 2013 Florida Bull Test #12;Bull Test ID 1082 2013 Florida Bull Test #12

  2. ID SYSTEM DEBIT ACCOUNT Payroll Deduction Form

    E-Print Network [OSTI]

    Karsai, Istvan

    ID SYSTEM DEBIT ACCOUNT Payroll Deduction Form This is my authorization for the ETSU Payroll Department to make a monthly deduction from my paycheck to be deposited to my ETSU ID System Debit Card 37614-0611 PHONE: 423/439-8316 http://www.etsu.edu/students/univcent/id.htm e-mail ­ IDBUCS@etsu.edu #12;

  3. DOWNSTREAM MOVEMENT OF SALMON IDS

    E-Print Network [OSTI]

    DOWNSTREAM MOVEMENT OF SALMON IDS AT BONNEVILLE DAM Marine Biological Laboratory APR 1 7 1958 WOODS Washington, D. C January 1958 #12;ABSTRACT At Bonneville Deun most downstream-migrant salmonlds were ca TABLES 1. Hourly catches of downstream-migrant seLLmonids in 1952. Each hour represents the suomation

  4. Function: GTP:-`type/gradedmonom` -define a type 'gradedmonom' Calling Sequence

    E-Print Network [OSTI]

    Ablamowicz, Rafal

    :with(Clifford):with(GTP): > type(e1 &t e1,gradedmonom),type(Pi*(e1we2 &t e1 &t e2),gradedmonom); Cliplus has been loaded Id &t e1 Id &t e2 Id &t e1we2 e1 &t Id e1 &t e1 e1 &t e2 e1 &t e1we2, , , , , , , ,[:= e2 &t Id e2 &t e1 e2 &t e2 e2 &t e1we2 e1we2 &t Id e1we2 &t e1 e1we2 &t e2, , , , , , , e1we2 &t e1we2] > map

  5. REQUEST FOR TRAVEL AUTHORIZATION Document ID #

    E-Print Network [OSTI]

    Texas at Austin, University of

    REQUEST FOR TRAVEL AUTHORIZATION Document ID # Name: UTEID: Travel Dates: Begin: End: Destination," please allow one month for processssing. Helpful Information: Navigant (Travel Management) (512

  6. DOE-ID Operations Summary

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOffice ofHale Plan24, 2013 DOE-ID Operations

  7. DOE-ID Operations Summary

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOffice ofHale Plan24, 2013 DOE-ID

  8. DOE-ID Operations Summary

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOffice ofHale Plan24, 2013 DOE-ID26, 2013

  9. DOE-ID Operations Summary

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOffice ofHale Plan24, 2013 DOE-ID26,

  10. DOE-ID Operations Summary

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOffice ofHale Plan24, 2013 DOE-ID26,5, 2013

  11. DOE-ID Operations Summary

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOffice ofHale Plan24, 2013 DOE-ID26,5,

  12. DOE-ID Operations Summary

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOffice ofHale Plan24, 2013 DOE-ID26,5,6,

  13. DOE-ID Operations Summary

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOffice ofHale Plan24, 2013 DOE-ID26,5,6,27,

  14. Navigate to http://cris.csrees.usda.gov/cgi-bin/starfinder/0?path=crisassist.txt&id=anon&pass=&OK=OK 1. Select `Any' or specific project type (e.g. Multistate Projects)

    E-Print Network [OSTI]

    Watson, Craig A.

    . Enter Department prefix or CRIS project number (e.g. FLA-FOR) 3. Select status--hold `Ctrl' key--Select all except Terminated 4. Select 500 5. Hit `Search) change `Project Type' to Multistate 14. In `Term. Date' column, if project

  15. Reporting Tools Course ID: FMS121

    E-Print Network [OSTI]

    Shull, Kenneth R.

    Reporting Tools Course ID: FMS121 PS Query 03/31/2009 © 2009 Northwestern University FMS121 0 Introduction to Query For Query Developers Query is an ad-hoc reporting tool that allows you to retrieve data will have access to both query viewer and query manager pages. #12;Reporting Tools Course ID: FMS121 PS

  16. Reporting Tools Course ID: FMS121

    E-Print Network [OSTI]

    Shull, Kenneth R.

    Reporting Tools Course ID: FMS121 PS Query 03/31/2009 © 2009 Northwestern University FMS121 0 Introduction to Query For Query Viewers Query is an ad-hoc reporting tool that allows you to retrieve data will have access to both query viewer and query manager pages. #12;Reporting Tools Course ID: FMS121 PS

  17. Durability of Diesel Engine Particulate Filters (Agreement ID...

    Broader source: Energy.gov (indexed) [DOE]

    Durability of Diesel Engine Particulate Filters (Agreement ID:10461) Durability of Diesel Engine Particulate Filters (Agreement ID:10461) 2013 DOE Hydrogen and Fuel Cells Program...

  18. ID BUC$ EQUIPMENT REQUEST FORM CAMPUS EVENT PAYMENT OPTION

    E-Print Network [OSTI]

    Karsai, Istvan

    ID BUC$ EQUIPMENT REQUEST FORM CAMPUS EVENT PAYMENT OPTION FOR ETSU ORGANIZATIONS Name ID BUC$. ETSU account transfer or a check requested? o ETSU Account

  19. UT-B ID 201102665 Technology Summary

    E-Print Network [OSTI]

    Pennycook, Steve

    also enable users to evaluate future energy technologies, including renewable energies. Advantages users to evaluate future energy technologies including renewables Potential Applications · UtilityUT-B ID 201102665 06.2012 Technology Summary Promoting energy efficiency is a primary focus

  20. ____________________Rowan ID# K. Bryant 3/2013

    E-Print Network [OSTI]

    Rusu, Adrian

    ____________________Rowan ID# K. Bryant 3/2013 Private/Alternative Education Loan Understanding receipt) the form to: Cooper Medical School of Rowan University, Office of Financial Aid Kyhna Bryant

  1. Document ID: POLUMITPUR01702 Information Technology

    E-Print Network [OSTI]

    Shyu, Mei-Ling

    Document ID: POLUMITPUR01702 Information Technology Supersedes: POLUMITPUR01701 Effective Date: 02 Sep 2014 Page 1 of 5 Document Title: Purchasing Computerized Systems/Software Applications Miletic Manager ­ Quality Assurance Research Compliance and Quality Assurance Made revisions based

  2. Kentucky WRI Pilot Test Universal ID

    E-Print Network [OSTI]

    screening deployment experience · Significant cost savings to FMCSA ·Enabling technology already deployedKentucky WRI Pilot Test ­ Universal ID Commercial Motor Vehicle Roadside Technology Corridor Safety Technology Showcase October 14, 2010 #12;·Utilizes existing automated screening system ·Uses assorted

  3. JOB DESCRIPTION Requisition ID 4206BR

    E-Print Network [OSTI]

    general office and administrative policies. · May supervise lower level staff members. · Schedules in accordance with established procedures. · Performs research and/or statistical analyses and assistsJOB DESCRIPTION Requisition ID 4206BR ASU Job Title Administrative Secretary Job Title

  4. Property:RAPID/Contact/ID1/Organization | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation, searchID1/Organization Property Type

  5. Property:RAPID/Contact/ID3/Email | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation,ID2/Phone Jump to:Email Property Type

  6. Property:RAPID/Contact/ID6/Email | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation,ID2/Phone JumppagesType Email

  7. Property:RAPID/Contact/ID6/Name | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation,ID2/Phone JumppagesType EmailThis

  8. Property:RAPID/Contact/ID6/Organization | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation,ID2/Phone JumppagesType EmailThis5

  9. Property:RAPID/Contact/ID6/Phone | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation,ID2/Phone JumppagesType

  10. Property:RAPID/Contact/ID6/Position | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation,ID2/Phone JumppagesTypeString

  11. STAT 100, Section 1 Sample Mid-term Examination I Spring, 2005 The following 50 questions are similar to the types of questions you will see on the

    E-Print Network [OSTI]

    Hunter, David

    cannot be collected. (C) All people in the United States. (D) The people or objects studied in the sample survey. Question 3. In a statistical study, the sample is: (A) A subset of people in the United States, 490,000 subjects were asked about their drinking habits. Researchers tracked subjects' death rates

  12. STAT 100, Section 4 Sample Mid-term Examination I Fall 2008 The following 54 questions are similar to the types of questions you will see on the

    E-Print Network [OSTI]

    Hunter, David

    in the sample survey. (B) All people in the United States. (C) The group of people or objects for which) The collection of data in sample surveys. (C) A subset of people in the United States. (D) The subset habits. Researchers tracked subjects' death rates until 1991, and found that adults who regularly had one

  13. STAT 100, Section 2 Sample Mid-term Examination I Spring, 2004 The following 50 questions are similar to the types of questions you will see on the

    E-Print Network [OSTI]

    Hunter, David

    be collected. (C) All people in the United States. (D) The people or objects studied in the sample survey. Question 4. In a statistical study, the sample is: (A) A subset of people in the United States. (B their drinking habits. Researchers tracked subjects' death rates until 1991, and found that adults who regularly

  14. ID Nom Prnom Groupe 11206695 ABDOU CHAFIN B

    E-Print Network [OSTI]

    Mironescu, Petru

    ID Nom Prénom Groupe 11206695 ABDOU CHAFIN B 11207912 ABDOU-RAZACK AIDIDE D 11207680 ACOLATSE REGIS

  15. Optimal IDS Sensor Placement And Alert Prioritization Using Attack Graphs

    E-Print Network [OSTI]

    Noel, Steven

    1 Optimal IDS Sensor Placement And Alert Prioritization Using Attack Graphs Steven Noel and Sushil optimally place intrusion detection system (IDS) sensors and prioritize IDS alerts using attack graph. The set of all such paths through the network constitutes an attack graph, which we aggregate according

  16. Article ID #eqr106 REPLACEMENT STRATEGIES

    E-Print Network [OSTI]

    Popova, Elmira

    Article ID #eqr106 REPLACEMENT STRATEGIES Elmira Popova Associate Professor, Department)-296-5795 e-mail: popovai@seattleu.edu Corresponding Contributor: Elmira Popova Keywords: Replacement Policies define what is a replacement policy for a system that fails randomly in time and its main characteristics

  17. Master Project Assessment Form Student: ID number

    E-Print Network [OSTI]

    Franssen, Michael

    Master Project Assessment Form Student: ID number: Master Program: Graduation supervisor Graduation presentation Defense Execution of the project Grade Signature of supervisor Date * Hand in at the student administration (MF 3.068) together with an official result form (uitslagbon) #12;"Master Project

  18. LAYNE, HOSPEDALES, GONG: RE-ID: HUNTING ATTRIBUTES IN THE WILD 1 Re-id: Hunting Attributes in the Wild

    E-Print Network [OSTI]

    Gong, Shaogang

    LAYNE, HOSPEDALES, GONG: RE-ID: HUNTING ATTRIBUTES IN THE WILD 1 Re-id: Hunting Attributes in the Wild Ryan Layne r.d.c.layne@qmul.ac.uk Timothy M. Hospedales t.hospedales@qmul.ac.uk Shaogang Gong s.gong, HOSPEDALES, GONG: RE-ID: HUNTING ATTRIBUTES IN THE WILD Much re-identification research breaks down into two

  19. Function: GTP:-tensorrank -find the rank of a tensor or an elements of the type 'gradedpolynom' Calling Sequence

    E-Print Network [OSTI]

    Ablamowicz, Rafal

    and &C[K]. Type ?cliprod for help. 5 > p:=a*(Id &t Id &t e2)-3*(e1we2 &t e2 &t e2we1 )+b*4*(Id &t e2 &t e1)- Id &t e1we2 &t e1we2; p a ( )( )Id &t Id &t e2 3 ( )( )e1we2 &t e2 &t e2we1 4 b ( )( )Id &t e2 &t e1- +:= ( )( )Id &t e1we2 &t e1we2- > tensorrank(p); 3 > p:=&t(e1,e2,e3)-&t(e1,e2); :=p -( )( )e1

  20. STAT 100, Section 4 Sample Mid-term Examination I Fall 2008 The following 54 questions are similar to the types of questions you will see on the

    E-Print Network [OSTI]

    Hunter, David

    in the sample survey. (B) All people in the United States. (C) The group of people or objects for which in the United States. (C) The subset of the population on which the study collects data. (D) The group of people tracked subjects' death rates until 1991, and found that adults who regularly had one alcoholic drink

  1. Inside-Outside ID: 00050001778e 0

    E-Print Network [OSTI]

    Shirai, Kiyoaki

    EDR 1 EDR EDR 1 Inside-Outside [2, 3] [1] EDR [5, 6] 2 2 EDR · ( ) · ( ) 1 EDR ID: 00050001778e 0 2222 1 @@@@@ 2 3 ¨¨ rr hhhhh 4 $$$$ 5 ¨¨ 6 44 1: EDR 1 1 1 · " " " " [ ] #12;1: 6 5 4 5 6 3 2 3 1 2 4 0 1 · " " : EDR " " " " [ ] · " " : " " " " · " " : " " [ ] · " " : EDR

  2. Memo of Assistance Instructions 2010-2011 Requesting an Aid Identification Number (Aid ID)

    E-Print Network [OSTI]

    Yang, Sichun

    , it will not be accepted. 4. Be sure to check if it is the initial form for the year or if it is a change, i.e. additional/reduction the number of credit hours and charges to determine the student's cost of attendance. If this information is being reported. ! On a separate line, the new Aid ID and speed type must be listed. When an increase

  3. Soil Sampling | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |RippeyInformationSoda Springs, Idaho:Soil Sampling Jump

  4. Field Experience/Internship Proposal Student's Name:_____________________________________ ID#:_____________________

    E-Print Network [OSTI]

    New Hampshire, University of

    Field Experience/Internship Proposal Student's Name:_____________________________________ ID:________________________ Email:______________________________________________ Internship Site Supervisor's Name and Title:___________________________________________________________ Course Information (Internship/Field Experience/Independent Study) (Where applicable) Course name

  5. ,"Eastport, ID Natural Gas Pipeline Imports From Canada (MMcf...

    U.S. Energy Information Administration (EIA) Indexed Site

    Imports From Canada (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Eastport, ID...

  6. Immunoassay and antibody microarray analysis of the HUPO Plasma Proteome Project reference specimens: Systematic variation between sample types and calibration of mass spectrometry data

    SciTech Connect (OSTI)

    Haab, Brian B.; Geierstanger, Bernhard H.; Michailidis, George; Vitzthum, Frank; Forrester, Sara; Okon, Ryan; Saviranta, Petri; Brinker, Achim; Sorette, Martin; Perlee, Lorah; Suresh, Shubha; Drwal, Garry; Adkins, Joshua N.; Omenn, Gilbert S.

    2005-08-01T23:59:59.000Z

    Four different immunoassay and antibody microarray methods performed at four different sites were used to measure the levels of a broad range of proteins (N = 323 assays; 39, 88, 168, and 28 assays at the respective sites; 237 unique analytes) in the human serum and plasma reference specimens distributed by the Plasma Proteome Project (PPP) of the HUPO. The methods provided a means to (1) assess the level of systematic variation in protein abundances associated with blood preparation methods (serum, citrate-anticoagulated-plasma, EDTA-anticoagulated-plasma, or heparin-anticoagulated-plasma) and (2) evaluate the dependence on concentration of MS-based protein identifications from data sets using the HUPO specimens. Some proteins, particularly cytokines, had highly variable concentrations between the different sample preparations, suggesting specific effects of certain anticoagulants on the stability or availability of these proteins. The linkage of antibody-based measurements from 66 different analytes with the combined MS/MS data from 18 different laboratories showed that protein detection and the quality of MS data increased with analyte concentration. The conclusions from these initial analyses are that the optimal blood preparation method is variable between analytes and that the discovery of blood proteins by MS can be extended to concentrations below the ng/mL range under certain circumstances. Continued developments in antibody-based methods will further advance the scientific goals of the PPP.

  7. DOE-ID Mission and Vision

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOffice ofHale Plan by(formerlyand5,ReadingID

  8. Data ID Service | DOE Data Explorer

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi SitePARTOfficeOctoberDaniel WoodID Service First

  9. A role for transcriptional regulator Id2 in natural killer T cells

    E-Print Network [OSTI]

    Monticelli, Laurel Anne

    2008-01-01T23:59:59.000Z

    proteins (Id) 14-16 . Id proteins lack the DNA bindingto analyze protein expression directly. Due to the lack of aprotein-2 (Id2) fail to develop natural killer cells, CD8? + dendritic cells, ?? IELs, Langerhans cells, and lack

  10. Efficient DHT attack mitigation through peers' ID distribution

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Efficient DHT attack mitigation through peers' ID distribution Thibault Cholez, Isabelle Chrisment.festor}@loria.fr Abstract--We present a new solution to protect the widely deployed KAD DHT against localized attacks which DHT attacks by comparing real peers' ID distributions to the theoretical one thanks to the Kullback

  11. Id-1 is induced in MDCK epithelial cells by activated Erk/MAPK pathway in response to expression of the Snail and E47 transcription factors

    SciTech Connect (OSTI)

    Jorda, Mireia [IDIBELL-Institut de Recerca Oncologica, Centre d'Oncologia Molecular, Barcelona (Spain); Vinyals, Antonia [IDIBELL-Institut de Recerca Oncologica, Centre d'Oncologia Molecular, Barcelona (Spain); Marazuela, Anna [IDIBELL-Institut de Recerca Oncologica, Centre d'Oncologia Molecular, Barcelona (Spain); Cubillo, Eva [Instituto de Investigaciones Biomedicas 'Alberto Sols' (CSIC-UAM) and Departamento de Bioquimica (UAM), Madrid (Spain); Olmeda, David [Instituto de Investigaciones Biomedicas 'Alberto Sols' (CSIC-UAM) and Departamento de Bioquimica (UAM), Madrid (Spain); Valero, Eva [IDIBELL-Institut de Recerca Oncologica, Centre d'Oncologia Molecular, Barcelona (Spain); Cano, Amparo [Instituto de Investigaciones Biomedicas 'Alberto Sols' (CSIC-UAM) and Departamento de Bioquimica (UAM), Madrid (Spain); Fabra, Angels [IDIBELL-Institut de Recerca Oncologica, Centre d'Oncologia Molecular, Barcelona (Spain)]. E-mail: afabra@idibell.org

    2007-07-01T23:59:59.000Z

    Id-1, a member of the helix-loop-helix transcription factor family has been shown to be involved in cell proliferation, angiogenesis and invasion of many types of human cancers. We have previously shown that stable expression of E47 and Snail repressors of the E-cadherin promoter in MDCK epithelial cell line triggers epithelial mesenchymal transition (EMT) concomitantly with changes in gene expression. We show here that both factors activate the Id-1 gene promoter and induce Id-1 mRNA and protein. The upregulation of the Id-1 gene occurs through the transactivation of the promoter by the Erk/MAPK signaling pathway. Moreover, oncogenic Ras is also able to activate Id-1 promoter in MDCK cells in the absence of both E47 and Snail transcription factors. Several transcriptionally active regulatory elements have been identified in the proximal promoter, including AP-1, Sp1 and four putative E-boxes. By EMSA, we only detected an increased binding to Sp1 and AP-1 elements in E47- and Snail-expressing cells. Binding is affected by the treatment of cells with PD 98059 MEK inhibitor, suggesting that MAPK/Erk contributes to the recruitment or assembly of proteins to Id-1 promoter. Small interfering RNA directed against Sp1 reduced Id-1 expression and the upregulation of the promoter, indicating that Sp1 is required for Id-1 induction in E47- and Snail-expressing cells. Our results provide new insights into how some target genes are activated during and/or as a consequence of the EMT triggered by both E47 and Snail transcription factors.

  12. Property:RAPID/Contact/ID8/Website | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag Jump to:ID8/Organization RAPID/Contact/ID8/Position RAPID/Contact/ID8/Name

  13. Property:RAPID/Contact/ID8/Name | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation,ID2/PhoneID7/Phone"ID8/Name"

  14. Sampling box

    DOE Patents [OSTI]

    Phillips, Terrance D. (617 Chestnut Ct., Aiken, SC 29803); Johnson, Craig (100 Midland Rd., Oak Ridge, TN 37831-0895)

    2000-01-01T23:59:59.000Z

    An air sampling box that uses a slidable filter tray and a removable filter cartridge to allow for the easy replacement of a filter which catches radioactive particles is disclosed.

  15. H id lb U i it G Heidelberg University, Germany

    E-Print Network [OSTI]

    Fischer, Wolfgang

    H id lb U i it G Topics: Heidelberg University, Germany Talks on 15th of July 2011 Neue Universität-Ming University and Heidelberg University 14. ­ 15. July 2011 Heidelberg University, Germany #12;NYMU - HD 2011 2

  16. Dissertation Checklist Coversheet Created June 2014 Student Name: Student ID

    E-Print Network [OSTI]

    Northern British Columbia, University of

    Dissertation Checklist Coversheet Created June 2014 Student Name: Student ID: Program: Supervisor's Name: Dissertation Defence Checklist Coversheet Office of Graduate Programs (OGP) University supervisory committee member has read the dissertation and agreed that it is examinable. Completed GR364

  17. Dissertation Checklist Coversheet Revised Nov 2014 Student Name: Student ID

    E-Print Network [OSTI]

    Northern British Columbia, University of

    Dissertation Checklist Coversheet Revised Nov 2014 Student Name: Student ID: Program: Supervisor's Name: Dissertation Defence Checklist Coversheet Office of Graduate Programs (OGP) University supervisory committee member has read the dissertation and agreed that it is examinable. Completed GR364

  18. Online Submission ID: 236 Cable Route Planning in Complex Environments Using Constrained Sampling

    E-Print Network [OSTI]

    North Carolina at Chapel Hill, University of

    algorithm precomputes a global roadmap of the environment by using a variant of the probabilistic roadmap configurations, we compute an approximate path using the initial roadmap gener- ated on the contact space. We shooting approach. The resulting global roadmap com- puted this way lies near the C

  19. Property:RAPID/Contact/ID3/Phone | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation,ID2/Phone Jump to:EmailID3/Organization

  20. Property:RAPID/Contact/ID7/Phone | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation,ID2/PhoneID7/Phone" Showing 2

  1. Property:RAPID/Contact/ID7/Position | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation,ID2/PhoneID7/Phone" Showing

  2. Property:RAPID/Contact/ID8/Email | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation,ID2/PhoneID7/Phone"

  3. RAPID/Roadmap/13-ID-a | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethodInformation TexasTexas)ID-a < RAPID‎ID-a <

  4. RAPID/Roadmap/14-ID-d | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethodInformation TexasTexas)ID-aRAPID/Roadmap/14-ID-d <

  5. MA 261 EXAM II Fall 2001 Page 1/6 NAME STUDENT ID ...

    E-Print Network [OSTI]

    1910-20-20T23:59:59.000Z

    I.D.# is your 9 digit ID (probably your social security number). Also write your name at the top of ... information about the nature of f(1, -1). D. fxx(1, -1)fyy(1, -1) < 0.

  6. TidFP: Mining Frequent Patterns in Different Databases with Transaction ID

    E-Print Network [OSTI]

    Ezeife, Christie

    techniques as well as sequential mining. Keywords: Data mining, Transaction id, Frequent PatternsTidFP: Mining Frequent Patterns in Different Databases with Transaction ID C.I. Ezeife and Dan) are unique and would not usually be frequent, mining frequent patterns with transaction ids, show- ing

  7. Contribution ID : 133 The TAG Collector -A Tool for Atlas

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    CHEP04 Contribution ID : 133 The TAG Collector - A Tool for Atlas Code Release Management Thursday 30 Sep 2004 at 10:00 (00h00') The Tag Collector is a web interfaced database application for release distributed geographically. The Tag Collector was designed and implemented during the summer of 2001

  8. Article ID: Query Translation on the Fly in Deep Web

    E-Print Network [OSTI]

    Article ID: Query Translation on the Fly in Deep Web Integration Jiang Fangjiao, Jia Linlin, Meng users to access the desired information, many researches have dedicated to the Deep Web (i.e. Web databases) integration. We focus on query translation which is an important part of the Deep Web integration

  9. ORNL 2010-G01074/jcn UT-B ID 200301298

    E-Print Network [OSTI]

    ORNL 2010-G01074/jcn UT-B ID 200301298 Super Energy Saver Heat Pump Technology Summary ORNL heat pumps, inventing a super energy saver heat pump. This invention significantly improves heating of the hybrid phase change material in the heat pump cycle. The material combines Group I and II halides

  10. Bachelor of Science, Geophysics, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Geophysics, 2013-2014 Name ID# Date General Degree Requirements Residency with Lab 4 COMPSCI 115 Introduction to C 2 GEOPH 201 Seeing the Unseen: an Introduction to Geophysics 4 GEOPH 300 Physics of the Earth 3 GEOPH 305 Applied Geophysics 3 GEOPH 420 Geophysical Applications

  11. Introduction to Health and Social Care (ID:250)

    E-Print Network [OSTI]

    Harman, Neal.A.

    Introduction to Health and Social Care (ID:250) Outline This is a day event which will be designed will be given short talks from different staff about the various health and social care courses on offer details Learning outcomes: · The different health and social care courses offered at Swansea University

  12. Hindawi Publishing Corporation Volume 2012, Article ID 507894, 8 pages

    E-Print Network [OSTI]

    Barbas III, Carlos F.

    is properly cited. Sickle cell disease (SCD) and -thalassemia patients are phenotypically normal if they carry]. Sickle cell disease (SCD) and -thalassemia patients are phenotypically normal if they carry compensatoryHindawi Publishing Corporation Anemia Volume 2012, Article ID 507894, 8 pages doi:10

  13. ORNL 2012-G00212/tcc UT-B ID 200902214

    E-Print Network [OSTI]

    Pennycook, Steve

    Technology Summary Glass used in building materials (curtain walls), windshields, goggles, glasses, opticalORNL 2012-G00212/tcc UT-B ID 200902214 08.2012 Superhydrophobic Transparent Glass Thin Films researchers have invented a method to produce durable, superhydrophobic, antireflective glass thin films

  14. Exam 1 Phys 105 Section______Fall 2002 Name__________________________________ ID

    E-Print Network [OSTI]

    Gary, Dale E.

    Exam 1 Phys 105 Section______Fall 2002 Name__________________________________ ID: Closed book exam each. Work out problems are 4 points each. Passing of the exam requires at least 50% of the maximum an expression, a t2 /2 where a is acceleration and t is time. The dimension of this expression in the SI system

  15. https://doyouliveunited.org 1. Enter you user ID

    E-Print Network [OSTI]

    Search' button. 7. Enter you search terms for the agency of your choice and click on `Search'. #12;httpshttps://doyouliveunited.org 1. Enter you user ID: your email address Enter your password: welcome be different then the options listed here. 5. For a payroll pledge, enter the amount per pay or the total

  16. Bachelor of Applied Science, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Writing and Research 3 CID BAS 300 Communication in the Applied Sciences 3 UF 100 Intellectual FoundationsBachelor of Applied Science, 2014-2015 Name ID# Date General Degree Requirements Residency: Total 3 UF 200 Civic and Ethical Foundations 3 FF BAS 400 Capstone in Applied Sciences 3 DLM Mathematics 3

  17. Bachelor of Applied Science, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Writing and Research 3 CID BAS 300 Communication in the Applied Sciences 3 UF 100 Intellectual FoundationsBachelor of Applied Science, 2012-2013 Name ID# Date General Degree Requirements Residency: Total 3 UF 200 Civic and Ethical Foundations 3 FF BAS 400 Capstone in Applied Sciences 3 DLM Mathematics 3

  18. Bachelor of Applied Science, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Writing and Research 3 CID BAS 300 Communication in the Applied Sciences 3 UF 100 Intellectual FoundationsBachelor of Applied Science, 2013-2014 Name ID# Date General Degree Requirements Residency: Total 3 UF 200 Civic and Ethical Foundations 3 FF BAS 400 Capstone in Applied Sciences 3 DLM Mathematics 3

  19. UW China Hong Kong Entrance Scholarship University of Waterloo ID#

    E-Print Network [OSTI]

    Le Roy, Robert J.

    UW ­ China Hong Kong Entrance Scholarship Name: University of Waterloo ID#: Program Applied of Waterloo who currently lives in or who previously lived in Hong Kong or mainland China. Candidates must also intend to return to Hong Kong or China after graduation. Selection will be based on academic

  20. ORNL 2010-G01078/jcn UT-B ID 201002389

    E-Print Network [OSTI]

    Pennycook, Steve

    ORNL 2010-G01078/jcn UT-B ID 201002389 Energy Saving Absorption Heat Pump Water Heater Technology Summary ORNL's new absorption heat pump and water heater technology offers substantial energy savings and can reduce the use of fossil fuels by buildings. While conventional heat pump water heater designs

  1. Wet-Nanotechnology: fl id t NIUnanofluids at NIU

    E-Print Network [OSTI]

    Kostic, Milivoje M.

    .kostic.niu.edu 4 Mechanical Engineering NORTHERN ILLINOIS UNIVERSITY #12;One Step Nanofluid Production ImprovementOne-Step Nanofluid Production Improvement Insulated and vertically-adjustable boat- heater evaporator NIU with i fl id heater evaporatorLaboratoryLaboratory S.S. ChoiChoi J. Hull,J. Hull, and othersand others

  2. Web: http://dust.ess.uci.edu/prp/prp ids/prp ids.pdf NASA International Polar Year (IPY) Proposal Submitted: April 17, 2006

    E-Print Network [OSTI]

    Zender, Charles

    Web: http://dust.ess.uci.edu/prp/prp ids/prp ids.pdf NASA International Polar Year (IPY) Proposal Researchers and Postdocs on CRY- OLIST and on ESS Website. 6. 20070723: Registered for SPAC Workshop for potential collaborators/contributors: 1. Use CVS to obtain source to this proposal: cvs -d :ext:esmf.ess

  3. Applying Fuzzy ID3 Decision Tree for Software Effort Estimation

    E-Print Network [OSTI]

    Elyassami, Sanaa

    2011-01-01T23:59:59.000Z

    Web Effort Estimation is a process of predicting the efforts and cost in terms of money, schedule and staff for any software project system. Many estimation models have been proposed over the last three decades and it is believed that it is a must for the purpose of: Budgeting, risk analysis, project planning and control, and project improvement investment analysis. In this paper, we investigate the use of Fuzzy ID3 decision tree for software cost estimation; it is designed by integrating the principles of ID3 decision tree and the fuzzy set-theoretic concepts, enabling the model to handle uncertain and imprecise data when describing the software projects, which can improve greatly the accuracy of obtained estimates. MMRE and Pred are used as measures of prediction accuracy for this study. A series of experiments is reported using two different software projects datasets namely, Tukutuku and COCOMO'81 datasets. The results are compared with those produced by the crisp version of the ID3 decision tree.

  4. Sampling diffusive transition paths

    E-Print Network [OSTI]

    F. Miller III, Thomas

    2009-01-01T23:59:59.000Z

    Sampling di?usive transition paths Thomas F. Miller III ?the algorithm to sample the transition path ensemble for thedynamics I. INTRODUCTION Transition path sampling (TPS) is a

  5. Idaho National Laboratory Supervisory Control and Data Acquisition Intrusion Detection System (SCADA IDS)

    SciTech Connect (OSTI)

    Jared Verba; Michael Milvich

    2008-05-01T23:59:59.000Z

    Current Intrusion Detection System (IDS) technology is not suited to be widely deployed inside a Supervisory, Control and Data Acquisition (SCADA) environment. Anomaly- and signature-based IDS technologies have developed methods to cover information technology-based networks activity and protocols effectively. However, these IDS technologies do not include the fine protocol granularity required to ensure network security inside an environment with weak protocols lacking authentication and encryption. By implementing a more specific and more intelligent packet inspection mechanism, tailored traffic flow analysis, and unique packet tampering detection, IDS technology developed specifically for SCADA environments can be deployed with confidence in detecting malicious activity.

  6. DOE-ID FOIA Type A Accident Investigation Board Report - July 28, 1998

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power Administration wouldDECOMPOSITION OF CALCIUMCOSTDOENuclear1 of 1Retina ProjectElectronic

  7. Department of Energy Idaho - Inside DOE-ID

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMFormsGas SeparationsRelevantDOEDelegations Current ByCommonInside ID

  8. RAPID/Roadmap/14-ID-a | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag Jump to:ID8/OrganizationTechProbSolutionsPublicQuanlightR3(2)3-AK-aNV-aCA-eeb

  9. RAPID/Roadmap/14-ID-f | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ | Roadmap Jump to: navigation, search RAPID Regulatory and

  10. RAPID/Roadmap/15-ID-a | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ | Roadmap Jump to: navigation, search RAPIDaUT-a <bfa

  11. RAPID/Roadmap/19-ID-b | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ | Roadmap Jump to: navigation, searche < RAPID‎

  12. RAPID/Roadmap/3-ID-d | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ | Roadmap Jump to: navigation, searche <

  13. RAPID/Roadmap/5-ID-a | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ | Roadmap Jump to: navigation, searche <ca

  14. RAPID/Roadmap/7-ID-a | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ | Roadmap Jump to: navigation, searcheWA-aHI-a <a <

  15. RAPID/Roadmap/8-ID-a | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ | Roadmap Jump to: navigation,c < RAPID‎ | Roadmapca

  16. RAPID/Roadmap/8-ID-e | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ | Roadmap Jump to: navigation,c < RAPID‎ | Roadmapcae

  17. Microsoft Word - 140602DOE-ID_OperationsSummary.docx

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your HomeOverviewCleanupShipping Form3 - March, 2014 DOE-ID

  18. Property:RAPID/Contact/ID1/Phone | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation, searchID1/Organization Property

  19. Property:RAPID/Contact/ID1/Position | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation, searchID1/Organization

  20. Property:RAPID/Contact/ID1/Website | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation, searchID1/OrganizationProperty Edit

  1. Property:RAPID/Contact/ID2/Email | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation, searchID1/OrganizationProperty

  2. Property:RAPID/Contact/ID2/Name | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation, searchID1/OrganizationPropertyProperty

  3. Property:RAPID/Contact/ID2/Phone | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation,ID2/Phone Jump to: navigation, search

  4. Property:RAPID/Contact/ID2/Position | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation,ID2/Phone Jump to: navigation,

  5. Property:RAPID/Contact/ID2/Website | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation,ID2/Phone Jump to:

  6. Property:RAPID/Contact/ID3/Name | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation,ID2/Phone Jump to:Email Property

  7. Property:RAPID/Contact/ID3/Organization | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation,ID2/Phone Jump to:Email

  8. Property:RAPID/Contact/ID3/Position | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation,ID2/Phone Jump

  9. Property:RAPID/Contact/ID3/Website | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation,ID2/Phone Jumppages using this

  10. Property:RAPID/Contact/ID5/Email | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation,ID2/Phone Jumppages using

  11. Property:RAPID/Contact/ID5/Name | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation,ID2/Phone Jumppages usingBill Steele +

  12. Property:RAPID/Contact/ID5/Organization | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation,ID2/Phone Jumppages usingBill Steele

  13. Property:RAPID/Contact/ID5/Position | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation,ID2/Phone Jumppages usingBill

  14. Property:RAPID/Contact/ID5/Website | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation,ID2/Phone Jumppages

  15. Property:RAPID/Contact/ID7/Name | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation,ID2/Phone

  16. RAPID/Roadmap/12-ID-a | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethodInformation TexasTexas)ID-a < RAPID‎ | Roadmap Jump

  17. RAPID/Roadmap/14-ID-b | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethodInformation TexasTexas)ID-a

  18. RAPID/Roadmap/19-ID-a | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethodInformatione < RAPID‎ | RoadmapHI-acCA-bfID-a <

  19. RAPID/Roadmap/20-ID-a | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethodInformatione < RAPID‎ |gWA-e <20 <-ID-a <

  20. RAPID/Roadmap/3-ID-b | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethodInformatione < RAPID‎ |gWA-eID-b < RAPID‎ |

  1. RAPID/Roadmap/3-ID-c | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethodInformatione < RAPID‎ |gWA-eID-b < RAPID‎

  2. RAPID/Roadmap/3-ID-e | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethodInformatione < RAPID‎ |gWA-eID-b <

  3. RAPID/Roadmap/4-ID-a | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethodInformatione < RAPID‎ |gWA-eID-b <aibHI-a

  4. RAPID/Roadmap/6-ID-a | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethodInformatione < RAPID‎ |gWA-eID-baa <b <a <

  5. RAPID/Roadmap/6-ID-b | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethodInformatione < RAPID‎ |gWA-eID-baa <b <a

  6. RAPID/Roadmap/6-ID-c | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethodInformatione < RAPID‎ |gWA-eID-baa <b <ac

  7. Microsoft Word - DOE-ID-INL-14-046.docx

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1 SECTION A. Project Title:4 SECTIONR1DETERMINATIODOE0ID

  8. Microsoft Word - DOE-ID-INL-14-048.docx

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1 SECTION A. Project Title:4 SECTIONR1DETERMINATIODOE0ID8

  9. The visualization of data and the user-interface in the Auto-ID World

    E-Print Network [OSTI]

    Chandrasekhar, Chaitra

    2005-01-01T23:59:59.000Z

    This thesis proposes a framework for user interface (UI) design in the Auto-ID world. The thesis includes the examination of issues related to visualizing data to the user from a top-down perspective in the Auto-ID World. ...

  10. Femtosecond dark-field imaging with an X-ray free electron laser (CXIDB ID 19)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Martin, A. V.

    This data was collected as part of the same experiment as the data deposited in [ID16](id-16.html). Experiment details are given in [Loh, N.D. et al.](http://dx.doi.org/10.1038/nature11222)

  11. The metalloid arsenite induces nuclear export of Id3 possibly via binding to the N-terminal cysteine residues

    SciTech Connect (OSTI)

    Kurooka, Hisanori, E-mail: hkurooka@u-fukui.ac.jp [Division of Molecular Genetics, Department of Biochemistry and Bioinformative Sciences, School of Medicine, Faculty of Medical Sciences, University of Fukui, Fukui (Japan) [Division of Molecular Genetics, Department of Biochemistry and Bioinformative Sciences, School of Medicine, Faculty of Medical Sciences, University of Fukui, Fukui (Japan); Research and Education Program for Life Science, University of Fukui, Fukui (Japan); Sugai, Manabu [Department of Experimental Therapeutics, Translational Research Center, Kyoto University Hospital, Kyoto (Japan)] [Department of Experimental Therapeutics, Translational Research Center, Kyoto University Hospital, Kyoto (Japan); Mori, Kentaro [Division of Molecular Genetics, Department of Biochemistry and Bioinformative Sciences, School of Medicine, Faculty of Medical Sciences, University of Fukui, Fukui (Japan)] [Division of Molecular Genetics, Department of Biochemistry and Bioinformative Sciences, School of Medicine, Faculty of Medical Sciences, University of Fukui, Fukui (Japan); Yokota, Yoshifumi, E-mail: yokota@u-fukui.ac.jp [Division of Molecular Genetics, Department of Biochemistry and Bioinformative Sciences, School of Medicine, Faculty of Medical Sciences, University of Fukui, Fukui (Japan) [Division of Molecular Genetics, Department of Biochemistry and Bioinformative Sciences, School of Medicine, Faculty of Medical Sciences, University of Fukui, Fukui (Japan); Research and Education Program for Life Science, University of Fukui, Fukui (Japan)

    2013-04-19T23:59:59.000Z

    Highlights: •Sodium arsenite induces cytoplasmic accumulation of Id3. •Arsenite binds to closely spaced N-terminal cysteine residues of Id3. •N-terminal cysteines are essential for arsenite-induced nuclear export of Id3. •Nuclear export of Id3 counteracts its transcriptional repression activity. -- Abstract: Ids are versatile transcriptional repressors that regulate cell proliferation and differentiation, and appropriate subcellular localization of the Id proteins is important for their functions. We previously identified distinct functional nuclear export signals (NESs) in Id1 and Id2, but no active NES has been reported in Id3. In this study, we found that treatment with the stress-inducing metalloid arsenite led to the accumulation of GFP-tagged Id3 in the cytoplasm. Cytoplasmic accumulation was impaired by a mutation in the Id3 NES-like sequence resembling the Id1 NES, located at the end of the HLH domain. It was also blocked by co-treatment with the CRM1-specific nuclear export inhibitor leptomycin B (LMB), but not with the inhibitors for mitogen-activated protein kinases (MAPKs). Importantly, we showed that the closely spaced N-terminal cysteine residues of Id3 interacted with the arsenic derivative phenylarsine oxide (PAO) and were essential for the arsenite-induced cytoplasmic accumulation, suggesting that arsenite induces the CRM1-dependent nuclear export of Id3 via binding to the N-terminal cysteines. Finally, we demonstrated that Id3 significantly repressed arsenite-stimulated transcription of the immediate-early gene Egr-1 and that this repression activity was inversely correlated with the arsenite-induced nuclear export. Our results imply that Id3 may be involved in the biological action of arsenite.

  12. K-Means+ID3: A Novel Method for Supervised Anomaly Detection by Cascading K-Means

    E-Print Network [OSTI]

    Phoha, Vir V.

    K-Means+ID3: A Novel Method for Supervised Anomaly Detection by Cascading K-Means Clustering and ID. Balagani Abstract--In this paper, we present "K-Means+ID3," a method to cascade k-Means clustering network, an active electronic circuit, and a mechanical mass- beam system. The k-Means clustering method

  13. ESPC IDIQ Contract Sample

    Broader source: Energy.gov [DOE]

    Document displays a sample indefinite delivery, indefinite quantity (IDIQ) energy savings performance contract (ESPC).

  14. Group, field and isolated early-type galaxies I. Observations and nuclear data

    E-Print Network [OSTI]

    Glenda Denicolo; Roberto Terlevich; Elena Terlevich; Duncan Forbes; Alejandro Terlevich; Luis Carrasco

    2004-11-04T23:59:59.000Z

    This is the first paper of a series on the investigation of stellar population properties and galaxy evolution of an observationally homogeneous sample of early-type galaxies in groups, field and isolated galaxies. We present high S/N long-slit spectroscopy of 86 nearby elliptical and S0 galaxies. 8 of them are isolated, selected according to a rigorous criterion. This survey has the advantage of covering a larger wavelength range than normally found in the literature, including [OIII]5007 and Halpha, both important for emission correction. Among the 86 galaxies with S/N>15 (per resolution element, for r_e/8 central aperture), 57 have their Hbeta-index corrected for emission, average correction is 0.190A in Hbeta; 42 galaxies reveal [OIII]5007 emission, of which 16 also show obvious Halpha emission. Most of the galaxies in the sample do not show obvious signs of disturbances nor tidal features in the morphologies, although 11 belong to the Arp catalogue of peculiar galaxies; only 3 of them (NGC750, NGC751, NGC3226) seem to be strongly interacting. We present the measurement of 25 central line-strength indices calibrated to the Lick/IDS system. Kinematic information is obtained for the sample. We analyse the line-strength index vs velocity dispersion relations for our sample of mainly low density environment galaxies, and compare the slope of the relations with cluster galaxies from the literature. Our main findings are that the index-sigma_0 relations presented for low-density regions are not significantly different from those of cluster E/S0s. The slope of the index-sigma_0 relations does not seem to change for early-type galaxies of different environmental densities, but the scatter of the relations seems larger for group, field and isolated galaxies than for cluster galaxies.

  15. Disc valve for sampling erosive process streams

    DOE Patents [OSTI]

    Mrochek, J.E.; Dinsmore, S.R.; Chandler, E.W.

    1984-08-16T23:59:59.000Z

    This is a patent for a disc-type, four-port sampling valve for service with erosive high temperature process streams. Inserts and liners of ..cap alpha..-silicon carbide respectively, in the faceplates and in the sampling cavities, limit erosion while providing lubricity for a smooth and precise operation. 1 fig.

  16. A short Id2 protein fragment containing the nuclear export signal forms amyloid-like fibrils

    SciTech Connect (OSTI)

    Colombo, Noemi [Fakultaet fuer Chemie und Pharmazie, Universitaet Regensburg, Universitaetsstrasse 31, 93053 Regensburg (Germany); Schroeder, Josef [Institut fuer Pathologie, Zentrales EM-Labor, Fakultaet fuer Medizin, Universitaet Regensburg, Franz-Josef-Strauss-Allee 11, 93053 Regensburg (Germany); Cabrele, Chiara [Fakultaet fuer Chemie und Pharmazie, Universitaet Regensburg, Universitaetsstrasse 31, 93053 Regensburg (Germany)]. E-mail: chiara.cabrele@chemie.uni-regensburg.de

    2006-07-21T23:59:59.000Z

    The negative regulator of DNA-binding/cell-differentiation Id2 is a small protein containing a central helix-loop-helix (HLH) motif and a C-terminal nuclear export signal (NES). Whereas the former is essential for Id2 dimerization and nuclear localization, the latter is responsible for the transport of Id2 from the nucleus to the cytoplasm. Whereas the isolated Id2 HLH motif is highly helical, large C-terminal Id2 fragments including the NES sequence are either unordered or aggregation-prone. To study the conformational properties of the isolated NES region, we synthesized the Id2 segment 103-124. The latter was insoluble in water and only temporarily soluble in water/alcohol mixtures, where it formed quickly precipitating {beta}-sheets. Introduction of a positively charged N-terminal tail prevented aggressive precipitation and led to aggregates consisting of long fibrils that bound thioflavin T. These results show an interesting structural aspect of the Id2 NES region, which might be of significance for both protein folding and function.

  17. Rain sampling device

    DOE Patents [OSTI]

    Nelson, D.A.; Tomich, S.D.; Glover, D.W.; Allen, E.V.; Hales, J.M.; Dana, M.T.

    1991-05-14T23:59:59.000Z

    The present invention constitutes a rain sampling device adapted for independent operation at locations remote from the user which allows rainfall to be sampled in accordance with any schedule desired by the user. The rain sampling device includes a mechanism for directing wet precipitation into a chamber, a chamber for temporarily holding the precipitation during the process of collection, a valve mechanism for controllably releasing samples of the precipitation from the chamber, a means for distributing the samples released from the holding chamber into vessels adapted for permanently retaining these samples, and an electrical mechanism for regulating the operation of the device. 11 figures.

  18. Rain sampling device

    DOE Patents [OSTI]

    Nelson, Danny A. (Richland, WA); Tomich, Stanley D. (Richland, WA); Glover, Donald W. (Prosser, WA); Allen, Errol V. (Benton City, WA); Hales, Jeremy M. (Kennewick, WA); Dana, Marshall T. (Richland, WA)

    1991-01-01T23:59:59.000Z

    The present invention constitutes a rain sampling device adapted for independent operation at locations remote from the user which allows rainfall to be sampled in accordance with any schedule desired by the user. The rain sampling device includes a mechanism for directing wet precipitation into a chamber, a chamber for temporarily holding the precipitation during the process of collection, a valve mechanism for controllably releasing samples of said precipitation from said chamber, a means for distributing the samples released from the holding chamber into vessels adapted for permanently retaining these samples, and an electrical mechanism for regulating the operation of the device.

  19. Programs Beamlines Contact/GL Programs Beamlines Contact/GL Programs Beamlines Contact/GL Contact/GL Spectroscopy (SPC) 20ID S. Heald Inelastic and Nuclear 3ID T. Gog Imaging (IMG) 2BM F. DeCarlo S. Pasky

    E-Print Network [OSTI]

    Kemner, Ken

    /GL Spectroscopy (SPC) 20ID S. Heald Inelastic and Nuclear 3ID T. Gog Imaging (IMG) 2BM F. DeCarlo S. Pasky 9BM S

  20. COMPUTER SCIENCE SAMPLE PROGRAM

    E-Print Network [OSTI]

    Gering, Jon C.

    COMPUTER SCIENCE SAMPLE PROGRAM (First Math Course MATH 198) This sample program suggests one way CS 181: Foundations of Computer Science II CS 180: Foundations of Computer Science I CS 191

  1. Air sampling in the workplace. Final report

    SciTech Connect (OSTI)

    Hickey, E.E.; Stoetzel, G.A.; Strom, D.J.; Cicotte, G.R. [Pacific Northwest Lab., Richland, WA (United States); Wiblin, C.M. [Advanced Systems Technology, Inc., Atlanta, GA (United States); McGuire, S.A. [Nuclear Regulatory Commission, Washington, DC (United States). Div. of Regulatory Applications

    1993-09-01T23:59:59.000Z

    This report provides technical information on air sampling that will be useful for facilities following the recommendations in the NRC`s Regulatory Guide 8.25, Revision 1, ``Air sampling in the Workplace.`` That guide addresses air sampling to meet the requirements in NRC`s regulations on radiation protection, 10 CFR Part 20. This report describes how to determine the need for air sampling based on the amount of material in process modified by the type of material, release potential, and confinement of the material. The purposes of air sampling and how the purposes affect the types of air sampling provided are discussed. The report discusses how to locate air samplers to accurately determine the concentrations of airborne radioactive materials that workers will be exposed to. The need for and the methods of performing airflow pattern studies to improve the accuracy of air sampling results are included. The report presents and gives examples of several techniques that can be used to evaluate whether the airborne concentrations of material are representative of the air inhaled by workers. Methods to adjust derived air concentrations for particle size are described. Methods to calibrate for volume of air sampled and estimate the uncertainty in the volume of air sampled are described. Statistical tests for determining minimum detectable concentrations are presented. How to perform an annual evaluation of the adequacy of the air sampling is also discussed.

  2. analyzing tissue samples: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    into an organization's structure and dynamics. The creation and analysis of sample social media network datasets is described to illustrate types of enterprise networks and...

  3. J Forensic Sci, Mar. 2005, Vol. 50, No. 2 Paper ID JFS2004293

    E-Print Network [OSTI]

    in forensic DNA typing. It is used with highly degraded samples or low-copy number materials such as mightDNA sequence (typically positions 16024­16365 and 1 Biotechnology Division, National Institute of Standards as possible. In no case does such identification imply a recommendation or endorsement by the National

  4. CONTROL ID: 1469463 TITLE: In Situ Techniques for Mineralogy and Geochemistry of Small Bodies

    E-Print Network [OSTI]

    Rossman. George R.

    CONTROL ID: 1469463 TITLE: In Situ Techniques for Mineralogy and Geochemistry of Small Bodies information about their formation histories and evolution. Combined geochemistry and mineralogy measurements measurement techniques that could provide microscopic mineralogy and isotope geochemistry. We will discuss

  5. Microsoft Word - DOE-ID-INL-12-028-1.doc

    Broader source: Energy.gov (indexed) [DOE]

    Energy (DOE-ID). The project would use a location near the northeast corner of the Test Area North (TAN) perimeter fence just north of the old TAN parking lot adjacent to the...

  6. *Name: Date of Birth: Banner/Student ID # Social Security # Phone: Cell

    E-Print Network [OSTI]

    Gering, Jon C.

    Transmitted Infection Anemia Eye Disease (excluding glasses) Joint Disease/Injury Sickle Cell Trait*Name: Date of Birth: Banner/Student ID # Social Security # Phone: Cell Permanent Address: Home Age, contact: Name Relationship: Phone: Day____________________ Eve____________________ Cell

  7. Orientation Permission to Treat Form Name of Student: Student ID: DOB

    E-Print Network [OSTI]

    Mohanty, Saraju P.

    Orientation Permission to Treat Form Name of Student: Student ID: DOB: Emergency Contact Name/Restrictions: Permission to Treat: The person herein named is medically cleared and has permission to engage in all

  8. ______________________~~-www.lejacq.com ID:8430 SPOTLIGHT ON HEART FAILURE TRANSLATIONAL RESEARCH

    E-Print Network [OSTI]

    Hammock, Bruce D.

    ______________________~~-www.lejacq.com ID:8430 SPOTLIGHT ON HEART FAILURE TRANSLATIONAL RESEARCH of atherosclerotic plaque as well as infarct size associated with ischemic heart injury.2 An unexpected finding, how

  9. CruzID Account Modification Form University of California, Santa Cruz

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    forms: http://its.ucsc.edu/accounts/forms.html) FIS (Banner) PPS NES Web AIS Removal requested for: FIS (Banner) PPS NES Web Data Warehouse AIS CruzID login name change request: Change Login Name: Please

  10. Characterization Of Sample HTF-13-13-128

    SciTech Connect (OSTI)

    Pareizs, J. M.

    2013-09-25T23:59:59.000Z

    Savannah River Remediation (SRR) has requested that Savannah River National Laboratory (SRNL) characterize a sample of Tank 13 in preparation for Sludge Batch 9 (SB9). A 200 mL sample of Tank 13 was received by SRNL on July 22, 2013 (Tank Farm sample ID HTF-13-13-128). Characterization of the sample to meet the requirements of the request is complete. Results include: visual observations; slurry and supernatant density; weight percent total and insoluble solids; supernatant characterization; total alpha, total beta, and several radionuclide analyses; and elemental analyses of the dried solids. The sample was very fluid. After settling overnight, there was a small layer of solids on the bottom of the sample container (a 250 mL HDPE bottle) with the remainder being clear supernatant. To better show the sludge solids relative to the overall sample, 25 mL of slurry was placed in a graduated cylinder and allowed to settle over a weekend (approximately 90 hours). The sludge layer was at the approximately 4 mL. The small visually observed quantity of insoluble solids was confirmed with a low weight percent insoluble solids of 0.94%.

  11. Physics 121 Sample Common Exam 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7 Name (Print): _______________________________ 4 Digit ID:________ Section: ______

    E-Print Network [OSTI]

    Janow, Rich

    would find on a real exam 1. A charge Q is placed on an isolated, hollow metal rectangular solid charge = 40 nC Q Q #12;Page of 72 4. A point charge of 2.0 nano-coulombs is at the center of an (unbroken

  12. IDENTIFICATION Your Sample Box

    E-Print Network [OSTI]

    Liskiewicz, Maciej

    to Virginia Tech Soil Testing Lab, 145 Smyth Hall (MC 0465), 185 Ag Quad Ln, Blacksburg VA 24061, in sturdy, K, Ca, Mg, Zn, Mn, Cu, Fe, B, and soluble salts) NoCharge $16.00 Organic Matter $4.00 $6.00 Fax with soil sample and form; make check or money order payable to "Treasurer, Virginia Tech." COST PER SAMPLE

  13. Sampling system and method

    DOE Patents [OSTI]

    Decker, David L.; Lyles, Brad F.; Purcell, Richard G.; Hershey, Ronald Lee

    2013-04-16T23:59:59.000Z

    The present disclosure provides an apparatus and method for coupling conduit segments together. A first pump obtains a sample and transmits it through a first conduit to a reservoir accessible by a second pump. The second pump further conducts the sample from the reservoir through a second conduit.

  14. Rehabilitation Services Sample Occupations

    E-Print Network [OSTI]

    Ronquist, Fredrik

    /Industries Correction Agencies Drug Treatment Centers Addiction Counselor Advocacy Occupations Art Therapist BehavioralRehabilitation Services Sample Occupations Sample Work Settings Child & Day Care Centers Clinics................................ IIB 29-1000 E4 Careers in Counseling and Human Services .........IIB 21-1010 C7 Careers in Health Care

  15. Award Types

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternativeOperationalAugust AugustInstruments on theAward Types Types of

  16. Sample and Implied Volatility in GARCH Models

    E-Print Network [OSTI]

    Kokoszka, Piotr

    Sample and Implied Volatility in GARCH Models Lajos Horva´th University of Utah Piotr Kokoszka Utah of various GARCH-type models is a function hðq� of the parameter vector q which is estimated by bq. For most distributions of the differences ^2 � hðq� and ^2 � hðbq� for broad classes of GARCH-type models. Even though

  17. Waste classification sampling plan

    SciTech Connect (OSTI)

    Landsman, S.D.

    1998-05-27T23:59:59.000Z

    The purpose of this sampling is to explain the method used to collect and analyze data necessary to verify and/or determine the radionuclide content of the B-Cell decontamination and decommissioning waste stream so that the correct waste classification for the waste stream can be made, and to collect samples for studies of decontamination methods that could be used to remove fixed contamination present on the waste. The scope of this plan is to establish the technical basis for collecting samples and compiling quantitative data on the radioactive constituents present in waste generated during deactivation activities in B-Cell. Sampling and radioisotopic analysis will be performed on the fixed layers of contamination present on structural material and internal surfaces of process piping and tanks. In addition, dose rate measurements on existing waste material will be performed to determine the fraction of dose rate attributable to both removable and fixed contamination. Samples will also be collected to support studies of decontamination methods that are effective in removing the fixed contamination present on the waste. Sampling performed under this plan will meet criteria established in BNF-2596, Data Quality Objectives for the B-Cell Waste Stream Classification Sampling, J. M. Barnett, May 1998.

  18. Sample Changes and Issues

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    EIA-914 Survey and HPDI. Figure 2 shows how this could change apparent production. The blue line shows the reported sample production as it would normally be reported under the...

  19. Water Sample Concentrator

    ScienceCinema (OSTI)

    Idaho National Laboratory

    2010-01-08T23:59:59.000Z

    Automated portable device that concentrates and packages a sample of suspected contaminated water for safe, efficient transport to a qualified analytical laboratory. This technology will help safeguard against pathogen contamination or chemical and biolog

  20. Dissolution actuated sample container

    DOE Patents [OSTI]

    Nance, Thomas A.; McCoy, Frank T.

    2013-03-26T23:59:59.000Z

    A sample collection vial and process of using a vial is provided. The sample collection vial has an opening secured by a dissolvable plug. When dissolved, liquids may enter into the interior of the collection vial passing along one or more edges of a dissolvable blocking member. As the blocking member is dissolved, a spring actuated closure is directed towards the opening of the vial which, when engaged, secures the vial contents against loss or contamination.

  1. SAMPLING AND ANALYSIS PROTOCOLS

    SciTech Connect (OSTI)

    Jannik, T; P Fledderman, P

    2007-02-09T23:59:59.000Z

    Radiological sampling and analyses are performed to collect data for a variety of specific reasons covering a wide range of projects. These activities include: Effluent monitoring; Environmental surveillance; Emergency response; Routine ambient monitoring; Background assessments; Nuclear license termination; Remediation; Deactivation and decommissioning (D&D); and Waste management. In this chapter, effluent monitoring and environmental surveillance programs at nuclear operating facilities and radiological sampling and analysis plans for remediation and D&D activities will be discussed.

  2. TANK 5 SAMPLING

    SciTech Connect (OSTI)

    Vrettos, N; William Cheng, W; Thomas Nance, T

    2007-11-26T23:59:59.000Z

    Tank 5 at the Savannah River Site has been used to store high level waste and is currently undergoing waste removal processes in preparation for tank closure. Samples were taken from two locations to determine the contents in support of Documented Safety Analysis (DSA) development for chemical cleaning. These samples were obtained through the use of the Drop Core Sampler and the Snowbank Sampler developed by the Engineered Equipment & Systems (EES) group of the Savannah River National Laboratory (SRNL).

  3. Liquid sampling system

    DOE Patents [OSTI]

    Larson, L.L.

    1984-09-17T23:59:59.000Z

    A conduit extends from a reservoir through a sampling station and back to the reservoir in a closed loop. A jet ejector in the conduit establishes suction for withdrawing liquid from the reservoir. The conduit has a self-healing septum therein upstream of the jet ejector for receiving one end of a double-ended cannula, the other end of which is received in a serum bottle for sample collection. Gas is introduced into the conduit at a gas bleed between the sample collection bottle and the reservoir. The jet ejector evacuates gas from the conduit and the bottle and aspirates a column of liquid from the reservoir at a high rate. When the withdrawn liquid reaches the jet ejector the rate of flow therethrough reduces substantially and the gas bleed increases the pressure in the conduit for driving liquid into the sample bottle, the gas bleed forming a column of gas behind the withdrawn liquid column and interrupting the withdrawal of liquid from the reservoir. In the case of hazardous and toxic liquids, the sample bottle and the jet ejector may be isolated from the reservoir and may be further isolated from a control station containing remote manipulation means for the sample bottle and control valves for the jet ejector and gas bleed. 5 figs.

  4. Liquid sampling system

    DOE Patents [OSTI]

    Larson, Loren L. (Idaho Falls, ID)

    1987-01-01T23:59:59.000Z

    A conduit extends from a reservoir through a sampling station and back to the reservoir in a closed loop. A jet ejector in the conduit establishes suction for withdrawing liquid from the reservoir. The conduit has a self-healing septum therein upstream of the jet ejector for receiving one end of a double-ended cannula, the other end of which is received in a serum bottle for sample collection. Gas is introduced into the conduit at a gas bleed between the sample collection bottle and the reservoir. The jet ejector evacuates gas from the conduit and the bottle and aspirates a column of liquid from the reservoir at a high rate. When the withdrawn liquid reaches the jet ejector the rate of flow therethrough reduces substantially and the gas bleed increases the pressure in the conduit for driving liquid into the sample bottle, the gas bleed forming a column of gas behind the withdrawn liquid column and interrupting the withdrawal of liquid from the reservoir. In the case of hazardous and toxic liquids, the sample bottle and the jet ejector may be isolated from the reservoir and may be further isolated from a control station containing remote manipulation means for the sample bottle and control valves for the jet ejector and gas bleed.

  5. PreparationSampleGuide:StartQuickISX Sample Preparation Guide

    E-Print Network [OSTI]

    straining the sample through a 70 micron nylon mesh strainer. If sample aggregation is a problem, we suggest

  6. Fluid sampling system

    DOE Patents [OSTI]

    Houck, E.D.

    1994-10-11T23:59:59.000Z

    An fluid sampling system allows sampling of radioactive liquid without spillage. A feed tank is connected to a liquid transfer jet powered by a pumping chamber pressurized by compressed air. The liquid is pumped upwardly into a sampling jet of a venturi design having a lumen with an inlet, an outlet, a constricted middle portion, and a port located above the constricted middle portion. The liquid is passed under pressure through the constricted portion causing its velocity to increase and its pressure to be decreased, thereby preventing liquid from escaping. A septum sealing the port can be pierced by a two pointed hollow needle leading into a sample bottle also sealed by a pierceable septum affixed to one end. The bottle is evacuated by flow through the sample jet, cyclic variation in the sampler jet pressure periodically leaves the evacuated bottle with lower pressure than that of the port, thus causing solution to pass into the bottle. The remaining solution in the system is returned to the feed tank via a holding tank. 4 figs.

  7. Fluid sampling system

    DOE Patents [OSTI]

    Houck, Edward D. (Idaho Falls, ID)

    1994-01-01T23:59:59.000Z

    An fluid sampling system allows sampling of radioactive liquid without spillage. A feed tank is connected to a liquid transfer jet powered by a pumping chamber pressurized by compressed air. The liquid is pumped upwardly into a sampling jet of a venturi design having a lumen with an inlet, an outlet, a constricted middle portion, and a port located above the constricted middle portion. The liquid is passed under pressure through the constricted portion causing its velocity to increase and its pressure to decreased, thereby preventing liquid from escaping. A septum sealing the port can be pierced by a two pointed hollow needle leading into a sample bottle also sealed by a pierceable septum affixed to one end. The bottle is evacuated by flow through the sample jet, cyclic variation in the sampler jet pressure periodically leaves the evacuated bottle with lower pressure than that of the port, thus causing solution to pass into the bottle. The remaining solution in the system is returned to the feed tank via a holding tank.

  8. Stratigraphic relationships in Woodbine-Eagleford and Sub-Clarksville sandstones, IDS field, Brazos County, Texas

    E-Print Network [OSTI]

    Brogdon, Ron Lee

    1990-01-01T23:59:59.000Z

    -Clarksville Sandstones, IDS Field, Brazos County, Texas. (August 1990) Ron Lee Brogdon, B. A. , Harvard University Chair of Advisory Committee: Dr. Robert R. Berg Sandstones of the Upper-Cretaceous Woodbine-Eagleford interval produce oil and gas from a small... no influence as a hydrocarbon trap. Production from IDS field, like the extent of the reservoir, is small. Nine years of production from 13 wells have yielded only 584 MBBLS of oil. Production is not uniform across the field, but defines a trend which...

  9. Viscous sludge sample collector

    DOE Patents [OSTI]

    Beitel, George A [Richland, WA

    1983-01-01T23:59:59.000Z

    A vertical core sample collection system for viscous sludge. A sample tube's upper end has a flange and is attached to a piston. The tube and piston are located in the upper end of a bore in a housing. The bore's lower end leads outside the housing and has an inwardly extending rim. Compressed gas, from a storage cylinder, is quickly introduced into the bore's upper end to rapidly accelerate the piston and tube down the bore. The lower end of the tube has a high sludge entering velocity to obtain a full-length sludge sample without disturbing strata detail. The tube's downward motion is stopped when its upper end flange impacts against the bore's lower end inwardly extending rim.

  10. Experimental Scattershot Boson Sampling

    E-Print Network [OSTI]

    Marco Bentivegna; Nicolň Spagnolo; Chiara Vitelli; Fulvio Flamini; Niko Viggianiello; Ludovico Latmiral; Paolo Mataloni; Daniel J. Brod; Ernesto F. Galvăo; Andrea Crespi; Roberta Ramponi; Roberto Osellame; Fabio Sciarrino

    2015-05-14T23:59:59.000Z

    Boson Sampling is a computational task strongly believed to be hard for classical computers, but efficiently solvable by orchestrated bosonic interference in a specialised quantum computer. Current experimental schemes, however, are still insufficient for a convincing demonstration of the advantage of quantum over classical computation. A new variation of this task, Scattershot Boson Sampling, leads to an exponential increase in speed of the quantum device, using a larger number of photon sources based on parametric downconversion. This is achieved by having multiple heralded single photons being sent, shot by shot, into different random input ports of the interferometer. Here we report the first Scattershot Boson Sampling experiments, where six different photon-pair sources are coupled to integrated photonic circuits. We employ recently proposed statistical tools to analyse our experimental data, providing strong evidence that our photonic quantum simulator works as expected. This approach represents an important leap toward a convincing experimental demonstration of the quantum computational supremacy.

  11. Id1 expression promotes peripheral CD4{sup +} T cell proliferation and survival upon TCR activation without co-stimulation

    SciTech Connect (OSTI)

    Liu, Chen; Jin, Rong [Department of Immunology, Peking University Health Science Center, Beijing (China)] [Department of Immunology, Peking University Health Science Center, Beijing (China); Wang, Hong-Cheng [Oklahoma Medical Research Foundation, Oklahoma City, OK (United States)] [Oklahoma Medical Research Foundation, Oklahoma City, OK (United States); Tang, Hui; Liu, Yuan-Feng; Qian, Xiao-Ping; Sun, Xiu-Yuan; Ge, Qing [Department of Immunology, Peking University Health Science Center, Beijing (China)] [Department of Immunology, Peking University Health Science Center, Beijing (China); Sun, Xiao-Hong, E-mail: sunx@omrf.org [Oklahoma Medical Research Foundation, Oklahoma City, OK (United States)] [Oklahoma Medical Research Foundation, Oklahoma City, OK (United States); Zhang, Yu, E-mail: zhangyu007@bjmu.edu.cn [Department of Immunology, Peking University Health Science Center, Beijing (China)] [Department of Immunology, Peking University Health Science Center, Beijing (China)

    2013-06-21T23:59:59.000Z

    Highlights: •Id1 expression enables naďve T cell proliferation without anti-CD28 co-stimulation. •Id1 expression facilitates T cells survival when stimulated with anti-CD3. •Elevation of IL-2 production by Id1 contributes increased proliferation and survival. •Id1 potentiates NF-?B activation by anti-CD3 stimulation. -- Abstract: Although the role of E proteins in the thymocyte development is well documented, much less is known about their function in peripheral T cells. Here we demonstrated that CD4 promoter-driven transgenic expression of Id1, a naturally occurring dominant-negative inhibitor of E proteins, can substitute for the co-stimulatory signal delivered by CD28 to facilitate the proliferation and survival of naďve CD4{sup +} cells upon anti-CD3 stimulation. We next discovered that IL-2 production and NF-?B activity after anti-CD3 stimulation were significantly elevated in Id1-expressing cells, which may be, at least in part, responsible for the augmentation of their proliferation and survival. Taken together, results from this study suggest an important role of E and Id proteins in peripheral T cell activation. The ability of Id proteins to by-pass co-stimulatory signals to enable T cell activation has significant implications in regulating T cell immunity.

  12. Project Sponsor response to ISRP Comment ProjectID: 35053

    E-Print Network [OSTI]

    and operated as selective harvest and sampling gear. Response Needed? Yes Thank-you for taking the time to hear for the Columbia River Basin allowing harvestable numbers of healthy stocks of salmon or steelhead to be captured and kept, while allowing fish from other stocks to be released alive to continue to the spawning grounds

  13. ORNL 2010-G00616/jcn UT-B ID 200101009

    E-Print Network [OSTI]

    that removes molecules adsorbed to the surface and directs them up the probe. The analyte materials can electrochemical microscope moves the probe over the surface, providing positional control with a minimum one nanometer resolution. Advantages ·· Rapid identification of microarray components ·· Accurate sample

  14. Environmental Science: Sample Pathway

    E-Print Network [OSTI]

    Goldberg, Bennett

    Environmental Science: Sample Pathway Semester I Semester II Freshman Year CGS Core CGS Core GE 100 & 124) MA 115 Statistics Summer Environmental Internship Junior Year CH 171 Chem for Health Sciences CH in Environmental Sciences is 17 courses. Courses taken to satisfy CAS major requirements (required, principal, core

  15. ORNL 2012-G00206/tcc UT-B ID 200802034

    E-Print Network [OSTI]

    Pennycook, Steve

    -independent approach enables conversion of many different types of nanomaterials for optoelectronic applications such as light-emitting displays, solar panels, optoelectronic sensing and imaging spectroscopy, and fiber Applications · Electroluminescent systems for use in light-emitting displays, solar panels, or optoelectronic

  16. ORNL 2010-G00986/jcn UT-B ID 200902213

    E-Print Network [OSTI]

    type) ·· Electrolytes (fuel cells, sensors, capacitors, metal finishing) ·· Dye-sensitized solar cells-volatility protic ionic liquids (PILs). Protic ionic liquids can be used in proton- exchange membrane fuel cells and in high temperature conditions. This is a particular problem for fuel cell applications, as it reduces

  17. Annales Geophysicae (2004) 22: 32913297 SRef-ID: 1432-0576/ag/2004-22-3291

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    to the interaction of the radar beam with the background wind (e.g. Atlas, 1964; Hocking, 1985; Nastrom, 1997). WhileAnnales Geophysicae (2004) 22: 3291­3297 SRef-ID: 1432-0576/ag/2004-22-3291 © European Geosciences- beamwidth method and the traditional method are very sim- ilar in regions of light winds (

  18. Annales Geophysicae (2004) 22: 23012308 SRef-ID: 1432-0576/ag/2004-22-2301

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Annales Geophysicae (2004) 22: 2301­2308 SRef-ID: 1432-0576/ag/2004-22-2301 © European Geosciences populations of Correspondence to: H. Kucharek (kucharek@atlas.sr.unh.edu) backstreaming ions (e.g. Gosling et beams. Sonnerup (1969) demonstrated that solar wind protons could easily be energized if the bow shock

  19. Annales Geophysicae (2004) 22: 40434048 SRef-ID: 1432-0576/ag/2004-22-4043

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    wind produced by three different numerical models in the European-Mediterranean area is analyzed observations of surface wind to predic- tive skill seems to be overall modest (Atlas et al., 2001Annales Geophysicae (2004) 22: 4043­4048 SRef-ID: 1432-0576/ag/2004-22-4043 © European Geosciences

  20. Turning The Web Into An Effective Knowledge Repository INESC-ID / IST

    E-Print Network [OSTI]

    Ferreira, Paulo

    . This includes safely preserving static and dynamic content as well as performing stor- age managementTurning The Web Into An Effective Knowledge Repository Luis Veiga INESC-ID / IST Rua Alves Redol, 9 management, web proxy, detecting distributed cycles, distributed garbage collection. Abstract: To fulfill

  1. COMPUTER SCIENCE @ UCI >>> WhaT dId yOU lEaRN?

    E-Print Network [OSTI]

    Barrett, Jeffrey A.

    COMPUTER SCIENCE @ UCI >>> WhaT dId yOU lEaRN? My COURSES havE INClUdEd: Computer Graphics I these environments with avatars. Embedded Computing Systems I designed an intelligent hexapod robot that used optical Languages I built a personnel-scheduling application that integrated components written in multiple computer

  2. .4/H 19%; 9.1'8-Id.3 Hypertension and Outcomes Research

    E-Print Network [OSTI]

    Lin, Danyu

    .4/H 19%; 9.1'8-Id.3 Hypertension and Outcomes Research From Clinical Trials to Clinical about their effect tin major disease endpoints in patients with hypertension are still not available benefits of antihypertensive therapies. Am J Hypertens 15%;9:178-183 KEY wwux: Hypertension, drug therapy

  3. Online Submission ID: 0594 Sound Propagation in Large Complex Environments Using Wave-Ray Coupling

    E-Print Network [OSTI]

    North Carolina at Chapel Hill, University of

    Online Submission ID: 0594 Sound Propagation in Large Complex Environments Using Wave-Ray Coupling-3 cal acoustic techniques for sound propagation that computes how4 sound waves travel in space reducing the overall computation.19 1 Introduction20 Sound propagation techniques determine how sound waves

  4. Online Submission ID: 0301 Wave-Ray Coupling for Interactive Sound Propagation in Large Complex Scenes

    E-Print Network [OSTI]

    North Carolina at Chapel Hill, University of

    Online Submission ID: 0301 Wave-Ray Coupling for Interactive Sound Propagation in Large Complex numerical techniques.18 1 Introduction19 Sound propagation techniques are used to model how sound waves20 applications use geometric sound propagation40 techniques, which assume that sound waves travels like rays

  5. Single mimivirus particles intercepted and imaged with an X-ray laser (CXIDB ID 2)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Seibert, M. Marvin; Ekeberg, Tomas

    These are the files used to reconstruct the images in the paper "Single Mimivirus particles intercepted and imaged with an X-ray laser". Besides the diffracted intensities, the Hawk configuration files used for the reconstructions are also provided. The files from CXIDB ID 2 are the pattern and configuration files for the pattern showed in Figure 2b in the paper.

  6. Bachelor of Science, Mechanical Engineering, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Equations with Matrix Theory 4 MATH 360 Engineering Statistics or MATH 361 Probability and Statistics I 3 MEBachelor of Science, Mechanical Engineering, 2014-2015 Name ID# Date General Degree Requirements Communication 3 DLS Social Sciences course in a second field 3 ENGR 120 Introduction to Engineering or ENGR 130

  7. Bachelor of Business Administration, Business Economics, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Business Administration, Business Economics, 2014-2015 Name ID# Date General Degree to Managerial Accounting 3 CID BUSCOM 201 Business Communication 3 BUSSTAT 207-208 Statistical Techniques Upper-division economics electives 15 FINAN 303 Principles of Finance 3 GENBUS 101 Business for the New

  8. Bachelor of Business Administration, General Business, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Business Administration, General Business, 2013-2014 Name ID# Date General Degree to Managerial Accounting 3 CID BUSCOM 201 Business Communication 3 BUSSTAT 207-208 Statistical Techniques Leadership for a New Generation 3 GENBUS 202 The Legal Environment of Business 3 FF GENBUS 450 Business

  9. Bachelor of Business Administration, International Business, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Business Administration, International Business, 2012-2013 Name ID# Date General Degree Introduction to Managerial Accounting 3 3 CID BUSCOM 201 Business Communication BUSSTAT 207-208 Statistical Generation GENBUS 202 The Legal Environment of Business or GENBUS 304 Law For Accountants I FF GENBUS 450

  10. Bachelor of Business Administration, International Business, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Business Administration, International Business, 2014-2015 Name ID# Date General Degree Introduction to Managerial Accounting CID BUSCOM 201 Business Communication BUSSTAT 207-208 Statistical FINAN 303 Principles of Finance FINAN 430 International Finance GENBUS 101 Business for the New

  11. Bachelor of Business Administration, Business Economics, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Business Administration, Business Economics, 2012-2013 Name ID# Date General Degree to Managerial Accounting 3 CID BUSCOM 201 Business Communication 3 BUSSTAT 207-208 Statistical Techniques Upper-division economics electives 15 FINAN 303 Principles of Finance 3 GENBUS 101 Business for the New

  12. Bachelor of Business Administration, Business Economics, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Business Administration, Business Economics, 2013-2014 Name ID# Date General Degree to Managerial Accounting 3 CID BUSCOM 201 Business Communication 3 BUSSTAT 207-208 Statistical Techniques Upper-division economics electives 15 FINAN 303 Principles of Finance 3 GENBUS 101 Business for the New

  13. BUSINESS INFORMATION MANAGEMENT @ UCI >>> WhAT dId yOU lEARN?

    E-Print Network [OSTI]

    Barrett, Jeffrey A.

    BUSINESS INFORMATION MANAGEMENT @ UCI >>> WhAT dId yOU lEARN? My COURSES hAvE INCl to Managerial Finance I learned how to make financial projections for technology projects. Business Intelligence and implement the kinds of databases that are used by virtually every business and enterprise in the world

  14. Bachelor of Business Administration, International Business, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Business Administration, International Business, 2013-2014 Name ID# Date General Degree Introduction to Managerial Accounting CID BUSCOM 201 Business Communication BUSSTAT 207-208 Statistical Generation GENBUS 202 The Legal Environment of Business or GENBUS 304 Law For Accountants I FF GENBUS 450

  15. Bachelor of Business Administration, General Business, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Business Administration, General Business, 2012-2013 Name ID# Date General Degree to Managerial Accounting 3 CID BUSCOM 201 Business Communication 3 BUSSTAT 207-208 Statistical Techniques Leadership for a New Generation 3 GENBUS 202 The Legal Environment of Business 3 FF GENBUS 450 Business

  16. Bachelor of Business Administration, General Business, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Business Administration, General Business, 2014-2015 Name ID# Date General Degree to Managerial Accounting 3 CID BUSCOM 201 Business Communication 3 BUSSTAT 207-208 Statistical Techniques Leadership for a New Generation 3 GENBUS 202 The Legal Environment of Business 3 FF GENBUS 450 Business

  17. Mineral ID Self-Instruction Lab Name _________________________ Geology 100 Harbor Section

    E-Print Network [OSTI]

    Harbor, David

    Mineral ID Self-Instruction Lab Name _________________________ Geology 100 ­ Harbor Section Your goal for this lab is to become familiar with the physical properties used to identify minerals. Physical properties are determined by the chemical and crystalline properties of the given mineral. However

  18. TS-IDS Algorithm For Query Selection in the Deep Web Crawling

    E-Print Network [OSTI]

    Lu, Jianguo

    TS-IDS Algorithm For Query Selection in the Deep Web Crawling Yan Wang1 , Jianguo Lu2 , and Jessica. The deep web crawling is the process of collecting data items inside a data source hidden behind searchable of documents and terms involved, calls for new approximation algorithms for efficient deep web data crawling

  19. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, MANUSCRIPT ID 1 Development of a Software Engineering

    E-Print Network [OSTI]

    Sommerville, Ian

    Engineering Ontology for Multi-site Software Development Pornpit Wongthongtham, Elizabeth Chang, Tharam Dillon of software engineering. Index Terms--Software Engineering, Ontology Development, Multi-site SoftwareIEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, MANUSCRIPT ID 1 Development of a Software

  20. Bachelor of Science, Materials Science and Engineering, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Materials Science and Engineering, 2014-2015 Name ID# Date General Degree Science & Engineering & Lab 3-4 3 3 4 MATH 175 Calculus II MATH 275 Multivariable and Vector Calculus MATH Electrical Properties of Materials 3 MSE 312 Mechanical Behavior of Materials 3 MSE 380 Materials Science

  1. Bachelor of Science, Materials Science and Engineering, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Materials Science and Engineering, 2013-2014 Name ID# Date General Degree of Materials MSE 312 Mechanical Behavior of Materials MSE 380 Materials Science and Engineering Lab MSE 404 Science & Engineering & Lab MATH 175 Calculus II MATH 275 Multivariable and Vector Calculus MATH 333

  2. Bachelor of Science, Materials Science and Engineering, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Materials Science and Engineering, 2012-2013 Name ID# Date General Degree to Electric Circuits ENGR 245, 245L Intro to Materials Science & Engineering & Lab 3 3 3 4 MATH 175 Calculus Mechanical Behavior of Materials MSE 380 Materials Science and Engineering Lab MSE 404 Materials Analysis

  3. Bachelor of Arts, Communication, Public Communication Emphasis, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Arts, Communication, Public Communication Emphasis, 2013-2014 Name ID# Date General Communication Arts - choose one from the following: COMM 131, COMM 211, COMM 231, COMM 268, COMM 269, COMM 273, COMM 278 3 Communication Contexts - choose one from the following: COMM 221, COMM 341, COMM 351, COMM

  4. Bachelor of Arts, Communication, Public Communication Emphasis, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Arts, Communication, Public Communication Emphasis, 2014-2015 Name ID# Date General Communication Arts - choose one from the following: COMM 131, COMM 211, COMM 231, COMM 268, COMM 269, COMM 273, COMM 278 3 Communication Contexts - choose one from the following: COMM 221, COMM 341, COMM 351, COMM

  5. Bachelor of Arts, Communication, Public Communication Emphasis, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Arts, Communication, Public Communication Emphasis, 2012-2013 Name ID# Date General Communication Arts - choose one from the following: COMM 131, COMM 211, COMM 231, COMM 268, COMM 269, COMM 273, COMM 278 3 Communication Contexts - choose one from the following: COMM 221, COMM 341, COMM 351, COMM

  6. ~ WELDING RESEARCH ~Jlj~~~-------------!ID~ SUPPLEMENT TO THE tVELOING JOURNAL. IULY 1993

    E-Print Network [OSTI]

    Eagar, Thomas W.

    ~ WELDING RESEARCH ~Jlj~~~-------------!ID~ SUPPLEMENT TO THE t·VELOING JOURNAL. IULY 1993 Sponsored by the American Welding Society and the Welding Research Council Metal Transfer in Pulsed Current Gas Metal Arc Welding A static force balance analysis was used to estimate the melting rates

  7. Danger Theory: The Link between AIS and IDS?+ Uwe Aickelin1

    E-Print Network [OSTI]

    Aickelin, Uwe

    Danger Theory: The Link between AIS and IDS?+ Uwe Aickelin1 , Peter Bentley2 , Steve Cayzer_Cayzer@hplb.hpl.hp.com, Jungwon@dcs.kcl.ac.uk, Julie.Mcleod@uwe.ac.uk artificial immune system, intrusion detection, danger theory self-nonself thinking and a new `Danger Theory' (DT) is emerging. This new theory suggests

  8. Bachelor of Science, Electrical Engineering, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Electrical Engineering, 2014-2015 Name ID# Date General Degree Requirements ECE 380, 380L Electrical Engineering Practice and Lab 3 ECE 480 Senior Design Project I 3 FF ECE 482L Physics I & II with Calculus & Labs 10 Electrical Engineering electives* 12 Technical electives* 6

  9. Bachelor of Science, Electrical Engineering, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Electrical Engineering, 2013-2014 Name ID# Date General Degree Requirements System Modeling and Control CID ECE 380, 380L Electrical Engineering Practice and Lab ECE 480 Senior 3 3 3 4 4 4 3 PHYS 211, 211L-212, 212L Physics I & II with Calculus & Labs 10 Electrical Engineering

  10. Bachelor of Science, Electrical Engineering, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Electrical Engineering, 2012-2013 Name ID# Date General Degree Requirements Modeling and Control 3 CID ECE 380, 380L Electrical Engineering Practice and Lab 3 ECE 480 Senior Design PHYS 211, 211L-212, 212L Physics I & II with Calculus & Labs 10 Electrical Engineering electives* 12

  11. Bachelor of Science, Environmental and Occupational Health, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Environmental and Occupational Health, 2014-2015 Name ID# Date General Degree and Humanities 3-4 DLS ENGL 202 Technical Communication 3 DLS ENVHLTH 102 Global Environmental Health 3 BIOL 192 320 Community Environmental Health Management ENVHLTH 415 Occupational Safety and Health ENVHLTH 416

  12. Bachelor of Science, Environmental and Occupational Health, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Environmental and Occupational Health, 2013-2014 Name ID# Date General Degree and Humanities 3-4 DLS ENGL 202 Technical Communication 3 DLS ENVHLTH 102 Global Environmental Health 3 BIOL 192 320 Community Environmental Health Management ENVHLTH 415 Occupational Safety and Health ENVHLTH 416

  13. Bachelor of Science, Environmental and Occupational Health, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Environmental and Occupational Health, 2012-2013 Name ID# Date General Degree and Humanities 3-4 DLS ENGL 202 Technical Communication 3 DLS ENVHLTH 102 Global Environmental Health 3 BIOL 192 Management ENVHLTH 320 Community Environmental Health Management ENVHLTH 415 Occupational Safety and Health

  14. Bachelor of Science, Geosciences, Geophysics Emphasis, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Geosciences, Geophysics Emphasis, 2014-2015 Name ID# Date General Degree General Chemistry II with Lab 4 GEOPH 201 Seeing the Unseen: an Introduction to Geophysics 4 GEOG 360 Physics I & II with Calculus & Labs Physics Option II: PHYS 111-112 General Physics 8-10 Geophysics

  15. Abstract ID 616 MC-TRACE: MULTICASTING THROUGH TIME RESERVATION USING ADAPTIVE CONTROL

    E-Print Network [OSTI]

    Heinzelman, Wendi

    Abstract ID 616 1 of 7 MC-TRACE: MULTICASTING THROUGH TIME RESERVATION USING ADAPTIVE CONTROL, University of Rochester, Rochester NY Abstract- In this paper, we present Multicasting through Time Reservation using Adaptive Control for Energy efficiency (MC-TRACE), which is an energy-efficient voice

  16. 2014-2015 Verification of Social Security Number & Date of Birth A. STUDENT INFORMATION SPIRE ID#: ____________________

    E-Print Network [OSTI]

    Mountziaris, T. J.

    2014-2015 Verification of Social Security Number & Date of Birth A. STUDENT INFORMATION SPIRE ID YYYY My correct Social Security Number is: ________ - _____ - _________ B. SIGNATURE- For corrections to date of birth. · Signed Social Security card or passport- For corrections to social security

  17. MS ID: JLR/2013/039446 Obesity alters the gustatory perception of lipids in the mouse

    E-Print Network [OSTI]

    Boyer, Edmond

    1 MS ID: JLR/2013/039446 Obesity alters the gustatory perception of lipids in the mouse: plausible INSERM/Université de Bourgogne/AgroSup Dijon, F-21000 Dijon, France. Short title: Obesity decreases-induced obesity; GLP-1, glucagon-like peptide-1; HF, high fat diet; HFHS, high fat/high sucrose diet; LA, linoleic

  18. ISSE2011: Hossain (2011): A sustainable diagnostic test tool Paper ID: 108-59871

    E-Print Network [OSTI]

    Hossain, M. Enamul

    2011-01-01T23:59:59.000Z

    ISSE­2011: Hossain (2011): A sustainable diagnostic test tool 1 Paper ID: 108-59871 International Symposium on Sustainable Systems and the Environment (ISSE) 2011 American University of Sharjah, Sharjah was introduced in beginning of 19th century when rotary drilling system was developed to drill a hole on earth [1

  19. Bachelor of Science, Social Science, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Social Science, 2013-2014 Name ID# Date General Degree Requirements Residency DLM Mathematics 3-4 DLN Natural, Physical, & Applied Sciences course with lab 4 DLN Natural, Physical, and Applied Sciences course 3-4 DLV Visual and Performing Arts 3 DLL Literature and Humanities 3-4 DLS Social

  20. Bachelor of Science, Social Science, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Social Science, 2014-2015 Name ID# Date General Degree Requirements Residency DLM Mathematics 3-4 DLN Natural, Physical, & Applied Sciences course with lab 4 DLN Natural, Physical, and Applied Sciences course 3-4 DLV Visual and Performing Arts 3 DLL Literature and Humanities 3-4 DLS Social

  1. Bachelor of Science, Social Science, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Social Science, 2012-2013 Name ID# Date General Degree Requirements Residency DLM Mathematics 3-4 DLN Natural, Physical, & Applied Sciences course with lab 4 DLN Natural, Physical, and Applied Sciences course 3-4 DLV Visual and Performing Arts 3 DLL Literature and Humanities 3-4 DLS Social

  2. Computer Science Major Worksheet B.A. Degree Student: _______________________ ID#___________ Catalog:_________ Advisor _____________

    E-Print Network [OSTI]

    Delene, David J.

    10/15/2012 Computer Science Major Worksheet ­ B.A. Degree Student: _______________________ ID#___________ Catalog:_________ Advisor _____________ Computer Science Required Courses Cr. Semester Gr. CSci 160 Computer Science I 4 CSci 161 Computer Science II 4 CSci 230 Systems Programming 3 CSci 242 Algo. & Data

  3. Bachelor of Science, Computer Science, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Computer Science, 2012-2013 Name ID# Date General Degree Requirements of Speech Communication COMPSCI 125 Introduction to Computer Science I COMPSCI 225 Introduction to Computer Science II CID COMPSCI 230 Ethical Issues in Computing COMPSCI 253 Object-Oriented Program Development

  4. Bachelor of Science, Computer Science, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Computer Science, 2013-2014 Name ID# Date General Degree Requirements Technical Communication 3 COMPSCI 121 Computer Science I COMPSCI 221 Computer Science II CID COMPSCI 230 Microprocessors and Lab 4 3 3 3 3 3 3 3 3 3 3 3 3 0 1 4 4 Three additional computer science courses chosen from

  5. Bachelor of Science, Computer Science, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Computer Science, 2014-2015 Name ID# Date General Degree Requirements Technical Communication 3 CS 121, 121L Computer Science I and Lab 4 CS 221 Computer Science II 3 CID CS 230 Microprocessors and Lab 4 4 Four additional computer science courses chosen from: CS 401, CS 410, CS 425, CS 430

  6. RENEWABLE ENERGY FROM SWINE WASTE Bingjun He, University of Idaho, Moscow, ID 1

    E-Print Network [OSTI]

    He, Brian

    RENEWABLE ENERGY FROM SWINE WASTE Bingjun He, University of Idaho, Moscow, ID 1 Yuanhui Zhang, Ted waste and to produce renewable energy from swine manure. Experimental results showed that operating were also studied. Typical oil yield of the TCC process ranged from 60% to 65% on the input volatile

  7. Academic Staff ESS Coversheet Candidate Name (Last, First, M.I.) Banner ID

    E-Print Network [OSTI]

    VandeVord, Pamela

    rev. 6/14 Academic Staff ESS Coversheet Candidate Name (Last, First, M.I.) Banner ID Primary School Initial WSU appointment date Length of ESS-track service (in years & months) Academic Services Officer Archivist Initial WSU rank Dates off ESS-track/Reason Extens Prgm Coordinator Financial Aid Officer Date

  8. Library hours vary by semester; Check lib.usf.edu After midnight, USF ID required

    E-Print Network [OSTI]

    Meyers, Steven D.

    Library hours vary by semester; Check lib.usf.edu After midnight, USF ID required lib.usf.edu (813? To learn how to: Integrate the library into Canvas, Invite a librarian to join your course's Canvas site, or Request a tailored research guide or library research assignment, Contact: Susan Silver | ssilver

  9. Project ID: 35011 Title: The Floating Net Pen Transportation System Pilot Project

    E-Print Network [OSTI]

    Project ID: 35011 Title: The Floating Net Pen Transportation System Pilot Project Sponsor: Columbia sufficient. The proposal does not specify what benefits might be expected from use of net pens relative raceways or other sources to the net pens is discussed in the proposal. The reviewers are aware

  10. Single mimivirus particles intercepted and imaged with an X-ray laser (CXIDB ID 1)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Seibert, M. Marvin; Ekeberg, Tomas; Maia, Filipe R.N.C.

    These are the files used to reconstruct the images in the paper "Single Mimivirus particles intercepted and imaged with an X-ray laser". Besides the diffracted intensities, the Hawk configuration files used for the reconstructions are also provided. The files from CXIDB ID 1 are the pattern and configuration files for the pattern showed in Figure 2a in the paper.

  11. Bachelor of Science, Radiologic Sciences, Computed Tomography Emphasis, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Radiologic Sciences, Computed Tomography Emphasis, 2014-2015 Name ID# Date RADSCI 450 Principles of Computed Tomography RADSCI 450L Principles of Computed Tomography Lab RADSCI 451 Procedural Case Studies in Computed Tomography RADSCI 455 Clinical Experience in Computed Tomography 1 3 1 3

  12. Bachelor of Science, Radiologic Sciences, Computed Tomography Emphasis, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Radiologic Sciences, Computed Tomography Emphasis, 2013-2014 Name ID# Date RADSCI 450 Principles of Computed Tomography RADSCI 450L Principles of Computed Tomography Lab RADSCI 451 Procedural Case Studies in Computed Tomography RADSCI 455 Clinical Experience in Computed Tomography 1 3 1 3

  13. Bachelor of Science, Radiologic Sciences, Computed Tomography Emphasis, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    Bachelor of Science, Radiologic Sciences, Computed Tomography Emphasis, 2012-2013 Name ID# Date Imaging 3 RADSCI 431 CT Radiation Dose and Risk Analysis 1 RADSCI 450 Principles of Computed Tomography 3 RADSCI 450L Principles of Computed Tomography Lab 1 RADSCI 451 Procedural Case Studies in Computed

  14. MA 166 FINAL EXAM Spring 1999 Page 1/10 NAME STUDENT ID ...

    E-Print Network [OSTI]

    1910-00-41T23:59:59.000Z

    Fill in the above items in print. I.D.# is ... 3. B. c = -1. C. c = 1. D. c = 0. E. no value of c. 2. Calculate the length of the projection of b = i + j + k onto a = 2 i - k. A. 1.

  15. Advanced Applications for e-ID Cards in Flanders ADAPID Deliverable D2

    E-Print Network [OSTI]

    Verbrugge, Clark

    CHUM Centre Hospitalier de lUniversit´e de Montreal CHUQ Centres Hospitaliers affili´es Universitaires Belgian Data Protection Act DRM Digital Rights Management DU Data Unavailability EBR Event Based Retention Technologies ID Identity 7 #12;IDA Information Dispersal Algorithm IDM Identity Management IOI Item Of Interest

  16. Bachelor of Arts, Communication, Media Studies Emphasis, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    and Ethical Foundations 3 DLM Mathematics 3-4 DLN Natural, Physical, & Applied Sciences course with lab 4 DLN Natural, Physical, and Applied Sciences course 3-4 DLV Visual and Performing Arts 3 DLL LiteratureBachelor of Arts, Communication, Media Studies Emphasis, 2012-2013 Name ID# Date General Degree

  17. Bachelor of Arts, English, Technical Communication Emphasis, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    and Ethical Foundations 3 DLM Mathematics 3-4 DLN Natural, Physical, & Applied Sciences course with lab 4 DLN Natural, Physical, and Applied Sciences course 3-4 DLV Visual and Performing Arts 3 DLL LiteratureBachelor of Arts, English, Technical Communication Emphasis, 2013-2014 Name ID# Date General Degree

  18. Bachelor of Arts, English, Technical Communication Emphasis, 214-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    and Ethical Foundations 3 DLM Mathematics 3-4 DLN Natural, Physical, & Applied Sciences course with lab 4 DLN Natural, Physical, and Applied Sciences course 3-4 DLV Visual and Performing Arts 3 DLL LiteratureBachelor of Arts, English, Technical Communication Emphasis, 214-2015 Name ID# Date General Degree

  19. Bachelor of Arts, Communication, Media Production Emphasis, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    and Ethical Foundations 3 DLM Mathematics 3-4 DLN Natural, Physical, & Applied Sciences course with lab 4 DLN Natural, Physical, and Applied Sciences course 3-4 DLV Visual and Performing Arts 3 DLL LiteratureBachelor of Arts, Communication, Media Production Emphasis, 2013-2014 Name ID# Date General Degree

  20. Bachelor of Arts, English, Technical Communication Emphasis, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    and Ethical Foundations 3 DLM Mathematics 3-4 DLN Natural, Physical, & Applied Sciences course with lab 4 DLN Natural, Physical, and Applied Sciences course 3-4 DLV Visual and Performing Arts 3 DLL LiteratureBachelor of Arts, English, Technical Communication Emphasis, 2012-2013 Name ID# Date General Degree

  1. Bachelor of Arts, Communication, Journalism and Media Studies Emphasis, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    200 Civic and Ethical Foundations 3 DLM Mathematics 3-4 DLN Natural, Physical, & Applied Sciences course with lab 4 DLN Natural, Physical, and Applied Sciences course 3-4 DLV Visual and Performing Arts 3Bachelor of Arts, Communication, Journalism and Media Studies Emphasis, 2014-2015 Name ID# Date

  2. Bachelor of Arts, Communication, Relational and Organizational Studies Emphasis, Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    200 Civic and Ethical Foundations 3 DLM Mathematics 3-4 DLN Natural, Physical, & Applied Sciences course with lab 4 DLN Natural, Physical, and Applied Sciences course 3-4 DLV Visual and Performing Arts 3Bachelor of Arts, Communication, Relational and Organizational Studies Emphasis, 2013-2014 Name ID

  3. Bachelor of Arts, Communication, Relational and Organizational Studies Emphasis, Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    200 Civic and Ethical Foundations 3 DLM Mathematics 3-4 DLN Natural, Physical, & Applied Sciences course with lab 4 DLN Natural, Physical, and Applied Sciences course 3-4 DLV Visual and Performing Arts 3Bachelor of Arts, Communication, Relational and Organizational Studies Emphasis, 2012-2013 Name ID

  4. Bachelor of Arts, Communication, Media Studies Emphasis, 2013-2014 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    and Ethical Foundations 3 DLM Mathematics 3-4 DLN Natural, Physical, & Applied Sciences course with lab 4 DLN Natural, Physical, and Applied Sciences course 3-4 DLV Visual and Performing Arts 3 DLL LiteratureBachelor of Arts, Communication, Media Studies Emphasis, 2013-2014 Name ID# Date General Degree

  5. Bachelor of Arts, Communication, Media Production Emphasis, 2012-2013 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    and Ethical Foundations 3 DLM Mathematics 3-4 DLN Natural, Physical, & Applied Sciences course with lab 4 DLN Natural, Physical, and Applied Sciences course 3-4 DLV Visual and Performing Arts 3 DLL LiteratureBachelor of Arts, Communication, Media Production Emphasis, 2012-2013 Name ID# Date General Degree

  6. Bachelor of Arts, Communication, Relational and Organizational Studies Emphasis, Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    200 Civic and Ethical Foundations 3 DLM Mathematics 3-4 DLN Natural, Physical, & Applied Sciences course with lab 4 DLN Natural, Physical, and Applied Sciences course 3-4 DLV Visual and Performing Arts 3Bachelor of Arts, Communication, Relational and Organizational Studies Emphasis, 2014-2015 Name ID

  7. Bachelor of Arts, Communication, Media Production Emphasis, 2014-2015 Name ID# Date

    E-Print Network [OSTI]

    Barrash, Warren

    and Ethical Foundations 3 DLM Mathematics 3-4 DLN Natural, Physical, & Applied Sciences course with lab 4 DLN Natural, Physical, and Applied Sciences course 3-4 DLV Visual and Performing Arts 3 DLL LiteratureBachelor of Arts, Communication, Media Production Emphasis, 2014-2015 Name ID# Date General Degree

  8. 1. CONTRACT ID CODE PAGES AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT

    E-Print Network [OSTI]

    of Offers 0 is extended. D is nOl extended. Offers must acknowledge receipt of Ihis amendmenl priDr ID) By completing Uems 8 and 15, and relurnlng copies cllhe amendmenl; (b) By acknowledging receipt 01 a reference 10 Ihe solicitation and amelldmanl numbers. FAILURE OF YOUR ACKNOWLEDGEMENT TO BE RECEIVED

  9. CONFIRMATION NO. 1357 SESSION ID 3EI07 1 Fabrication and characterization of superconducting

    E-Print Network [OSTI]

    CONFIRMATION NO. 1357 SESSION ID 3EI07 1 Fabrication and characterization of superconducting-angle evaporation in superconducting resonators with high quality factor. An important issue is to characterize the quality factor of the res- onators. We present an RF-characterization of superconducting resonators

  10. Online Submission ID: 1199 Gremlin: An Interactive Visualization Model for Analyzing

    E-Print Network [OSTI]

    Laidlaw, David

    Online Submission ID: 1199 Gremlin: An Interactive Visualization Model for Analyzing Genomic Rearrangements Category: Research Fig. 1. Our new method for visualizing genome rearrangements: deletions (green), inversions (brown), and inter-chromosomal translocations (cyan) classified from a cancer genome with respect

  11. Data Mining-based Intrusion Detectors: An Overview of the Columbia IDS Project

    E-Print Network [OSTI]

    Yang, Junfeng

    Data Mining-based Intrusion Detectors: An Overview of the Columbia IDS Project Salvatore J. Stolfo by sensing a misuse or a breach of a security policy and alerting operators to an ongoing (or, at least on a weekly basis reporting that malicious users still succeed in attacking systems with sometimes devastating

  12. Mechanism of Aluminum Soption on Birnessite: Influences on Chromium (ID.) Oxidation

    E-Print Network [OSTI]

    Sparks, Donald L.

    Mechanism of Aluminum Soption on Birnessite: Influences on Chromium (ID.) Oxidation Scott E and their effects on Cr(Ill) oxidation. Aluminum had no effect on Cr(III) oxidation at pH values less than 4 electron microscopy revealed that an aluminum hydroxide surface precipitate formed on birnessite at pH ~ 4

  13. Characterization of nitrogen compound types in hydrotreated Paraho shale oil

    SciTech Connect (OSTI)

    Holmes, S.A.; Latham, D.R.

    1980-10-01T23:59:59.000Z

    Results from the separation and characterization of nitrogen compound types in hydrotreated Paraho shale oil samples were obtained. Two samples of Paraho shale oil were hydrotreated by Chevron Research Company such that one sample contained about 0.05 wt. percent nitrogen and the other sample contained about 0.10 wt. percent nitrogen. A separation method concentrate specific nitrogen compound types was developed. Characterization of the nitrogen types was accomplished by infrared spectroscopy, mass spectrometry, potentiometric titration, and elemental analysis. The distribution of nitrogen compound types in both samples and in the Paraho crude shale oil is compared.

  14. Characterization of sampling cyclones

    E-Print Network [OSTI]

    Moore, Murray Edward

    1986-01-01T23:59:59.000Z

    Farland, who' provided an excellent opportunity for the enhancement of my engineering career. To Dr. Best for his patient snd competent assistance in this project. To Dr. Parish who gave his service to my graduate committee. To Bob DeOtte and Carlos Ortiz... in air sampling standards, several different samplers have been developed which utilize either inertial impaction or cyclonic flow fractionation techniques. For example, a 10 pm cutpoint size selective inlet was developed by McFarland, Ortiz...

  15. Post-Award Deliverables Sample (Second Part of Sample Deliverables...

    Broader source: Energy.gov (indexed) [DOE]

    samplereptgrqmts.doc More Documents & Publications ESPC Sample Deliverables for Task Orders (IDIQ Attachment. J-4) Sample Statement of Work - Standard Service Offerings for...

  16. Decoupled Sampling for Graphics Pipelines

    E-Print Network [OSTI]

    Ragan-Kelley, Jonathan Millar

    We propose a generalized approach to decoupling shading from visibility sampling in graphics pipelines, which we call decoupled sampling. Decoupled sampling enables stochastic supersampling of motion and defocus blur at ...

  17. Fluid sampling apparatus and method

    DOE Patents [OSTI]

    Yeamans, David R. (Los Alamos, NM)

    1998-01-01T23:59:59.000Z

    Incorporation of a bellows in a sampling syringe eliminates ingress of contaminants, permits replication of amounts and compression of multiple sample injections, and enables remote sampling for off-site analysis.

  18. Fluid sampling apparatus and method

    DOE Patents [OSTI]

    Yeamans, D.R.

    1998-02-03T23:59:59.000Z

    Incorporation of a bellows in a sampling syringe eliminates ingress of contaminants, permits replication of amounts and compression of multiple sample injections, and enables remote sampling for off-site analysis. 3 figs.

  19. Hanford Site Environmental Surveillance Master Sampling Schedule for Calendar Year 2011

    SciTech Connect (OSTI)

    Bisping, Lynn E.

    2011-01-21T23:59:59.000Z

    This document contains the calendar year 2011 schedule for the routine collection of samples for the Surface Environmental Surveillance Project and the Drinking Water Monitoring Project. Each section includes sampling locations, sampling frequencies, sample types, and analyses to be performed. In some cases, samples are scheduled on a rotating basis. If a sample will not be collected in 2011, the anticipated year for collection is provided. Maps showing approximate sampling locations are included for media scheduled for collection in 2011.

  20. Soil sampling kit and a method of sampling therewith

    DOE Patents [OSTI]

    Thompson, Cyril V. (Knoxville, TN)

    1991-01-01T23:59:59.000Z

    A soil sampling device and a sample containment device for containing a soil sample is disclosed. In addition, a method for taking a soil sample using the soil sampling device and soil sample containment device to minimize the loss of any volatile organic compounds contained in the soil sample prior to analysis is disclosed. The soil sampling device comprises two close fitting, longitudinal tubular members of suitable length, the inner tube having the outward end closed. With the inner closed tube withdrawn a selected distance, the outer tube can be inserted into the ground or other similar soft material to withdraw a sample of material for examination. The inner closed end tube controls the volume of the sample taken and also serves to eject the sample. The soil sample containment device has a sealing member which is adapted to attach to an analytical apparatus which analyzes the volatile organic compounds contained in the sample. The soil sampling device in combination with the soil sample containment device allow an operator to obtain a soil sample containing volatile organic compounds and minimizing the loss of the volatile organic compounds prior to analysis of the soil sample for the volatile organic compounds.

  1. Soil sampling kit and a method of sampling therewith

    DOE Patents [OSTI]

    Thompson, C.V.

    1991-02-05T23:59:59.000Z

    A soil sampling device and a sample containment device for containing a soil sample is disclosed. In addition, a method for taking a soil sample using the soil sampling device and soil sample containment device to minimize the loss of any volatile organic compounds contained in the soil sample prior to analysis is disclosed. The soil sampling device comprises two close fitting, longitudinal tubular members of suitable length, the inner tube having the outward end closed. With the inner closed tube withdrawn a selected distance, the outer tube can be inserted into the ground or other similar soft material to withdraw a sample of material for examination. The inner closed end tube controls the volume of the sample taken and also serves to eject the sample. The soil sample containment device has a sealing member which is adapted to attach to an analytical apparatus which analyzes the volatile organic compounds contained in the sample. The soil sampling device in combination with the soil sample containment device allows an operator to obtain a soil sample containing volatile organic compounds and minimizing the loss of the volatile organic compounds prior to analysis of the soil sample for the volatile organic compounds. 11 figures.

  2. NID Copper Sample Analysis

    SciTech Connect (OSTI)

    Kouzes, Richard T.; Zhu, Zihua

    2011-09-12T23:59:59.000Z

    The current focal point of the nuclear physics program at PNNL is the MAJORANA DEMONSTRATOR, and the follow-on Tonne-Scale experiment, a large array of ultra-low background high-purity germanium detectors, enriched in 76Ge, designed to search for zero-neutrino double-beta decay (0???). This experiment requires the use of germanium isotopically enriched in 76Ge. The MAJORANA DEMONSTRATOR is a DOE and NSF funded project with a major science impact. The DEMONSTRATOR will utilize 76Ge from Russia, but for the Tonne-Scale experiment it is hoped that an alternate technology, possibly one under development at Nonlinear Ion Dynamics (NID), will be a viable, US-based, lower-cost source of separated material. Samples of separated material from NID require analysis to determine the isotopic distribution and impurities. DOE is funding NID through an SBIR grant for development of their separation technology for application to the Tonne-Scale experiment. The Environmental Molecular Sciences facility (EMSL), a DOE user facility at PNNL, has the required mass spectroscopy instruments for making isotopic measurements that are essential to the quality assurance for the MAJORANA DEMONSTRATOR and for the development of the future separation technology required for the Tonne-Scale experiment. A sample of isotopically separated copper was provided by NID to PNNL in January 2011 for isotopic analysis as a test of the NID technology. The results of that analysis are reported here. A second sample of isotopically separated copper was provided by NID to PNNL in August 2011 for isotopic analysis as a test of the NID technology. The results of that analysis are also reported here.

  3. Germanium-76 Sample Analysis

    SciTech Connect (OSTI)

    Kouzes, Richard T.; Engelhard, Mark H.; Zhu, Zihua

    2011-04-01T23:59:59.000Z

    The MAJORANA DEMONSTRATOR is a large array of ultra-low background high-purity germanium detectors, enriched in 76Ge, designed to search for zero-neutrino double-beta decay (0???). The DEMONSTRATOR will utilize 76Ge from Russia, and the first one gram sample was received from the supplier for analysis on April 24, 2011. The Environmental Molecular Sciences facility, a DOE user facility at PNNL, was used to make the required isotopic and chemical purity measurements that are essential to the quality assurance for the MAJORANA DEMONSTRATOR. The results of this first analysis are reported here.

  4. Stack sampling apparatus

    DOE Patents [OSTI]

    Lind, Randall F; Lloyd, Peter D; Love, Lonnie J; Noakes, Mark W; Pin, Francois G; Richardson, Bradley S; Rowe, John C

    2014-09-16T23:59:59.000Z

    An apparatus for obtaining samples from a structure includes a support member, at least one stabilizing member, and at least one moveable member. The stabilizing member has a first portion coupled to the support member and a second portion configured to engage with the structure to restrict relative movement between the support member and the structure. The stabilizing member is radially expandable from a first configuration where the second portion does not engage with a surface of the structure to a second configuration where the second portion engages with the surface of the structure.

  5. Draft Sample Collection Instrument

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No53197E T ADRAFTJanuaryDominionDowDepartmentPublic5 5Sample

  6. September 2004 Water Sampling

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group currentBradleyTableSelling7 AugustAFRICAN3u ;;;::Sampling at the Sherwood,

  7. September 2004 Water Sampling

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA groupTuba City, Arizona, DisposalFourthN V O 1CentralGroundwater,Sampling at the

  8. September 2004 Water Sampling

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA groupTuba City, Arizona, DisposalFourthN V O 1CentralGroundwater,Sampling at the4

  9. September 2004 Water Sampling

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA groupTuba City, Arizona, DisposalFourthN V O 1CentralGroundwater,Sampling at

  10. September 2004 Water Sampling

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA groupTuba City, Arizona, DisposalFourthN V O 1CentralGroundwater,Sampling

  11. September 2004 Water Sampling

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA groupTuba City, Arizona, DisposalFourthN V O 1CentralGroundwater,SamplingTuba

  12. September 2004 Water Sampling

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA groupTuba City, Arizona, DisposalFourthN V O 1CentralGroundwater,SamplingTubaand

  13. Property:RAPID/Contact/ID13/Website | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag Jump to: navigation,ProjectStartDatePropertyWavemakingWebsite Property Type URL

  14. Property:RAPID/Contact/ID14/Website | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag Jump to: navigation,ProjectStartDatePropertyWavemakingWebsite Property Type

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    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag Jump to: navigation,ProjectStartDatePropertyWavemakingWebsiteWebsite Property Type

  16. Property:RAPID/Contact/ID1/Email | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I GeothermalPotentialBiopowerSolidGenerationMethod Jump to: navigation, search PropertyStartProjectType

  17. NID Copper Sample Analysis

    SciTech Connect (OSTI)

    Kouzes, Richard T.; Zhu, Zihua

    2011-02-01T23:59:59.000Z

    The current focal point of the nuclear physics program at PNNL is the MAJORANA DEMONSTRATOR, and the follow-on Tonne-Scale experiment, a large array of ultra-low background high-purity germanium detectors, enriched in 76Ge, designed to search for zero-neutrino double-beta decay (0???). This experiment requires the use of germanium isotopically enriched in 76Ge. The DEMONSTRATOR will utilize 76Ge from Russia, but for the Tonne-Scale experiment it is hoped that an alternate technology under development at Nonlinear Ion Dynamics (NID) will be a viable, US-based, lower-cost source of separated material. Samples of separated material from NID require analysis to determine the isotopic distribution and impurities. The MAJORANA DEMONSTRATOR is a DOE and NSF funded project with a major science impact. DOE is funding NID through an SBIR grant for development of their separation technology for application to the Tonne-Scale experiment. The Environmental Molecular Sciences facility (EMSL), a DOE user facility at PNNL, has the required mass spectroscopy instruments for making these isotopic measurements that are essential to the quality assurance for the MAJORANA DEMONSTRATOR and for the development of the future separation technology required for the Tonne-Scale experiment. A sample of isotopically separated copper was provided by NID to PNNL for isotopic analysis as a test of the NID technology. The results of that analysis are reported here.

  18. Sample holder with optical features

    DOE Patents [OSTI]

    Milas, Mirko; Zhu, Yimei; Rameau, Jonathan David

    2013-07-30T23:59:59.000Z

    A sample holder for holding a sample to be observed for research purposes, particularly in a transmission electron microscope (TEM), generally includes an external alignment part for directing a light beam in a predetermined beam direction, a sample holder body in optical communication with the external alignment part and a sample support member disposed at a distal end of the sample holder body opposite the external alignment part for holding a sample to be analyzed. The sample holder body defines an internal conduit for the light beam and the sample support member includes a light beam positioner for directing the light beam between the sample holder body and the sample held by the sample support member.

  19. Sample Environment Plans and Progress

    E-Print Network [OSTI]

    Pennycook, Steve

    Sample Environment Plans and Progress at the SNS & HFIR SNS HFIR User Group Meeting American Conference on Neutron Scattering Ottawa, Canada June 26 ­ 30, 2010 Lou Santodonato Sample Environment Group our sample environment capabilities Feedback SHUG meetings User surveys Sample Environment Steering

  20. Fluid sampling tool

    DOE Patents [OSTI]

    Johnston, Roger G. (Los Alamos, NM); Garcia, Anthony R. E. (Espanola, NM); Martinez, Ronald K. (Santa Cruz, NM)

    2001-09-25T23:59:59.000Z

    The invention includes a rotatable tool for collecting fluid through the wall of a container. The tool includes a fluid collection section with a cylindrical shank having an end portion for drilling a hole in the container wall when the tool is rotated, and a threaded portion for tapping the hole in the container wall. A passageway in the shank in communication with at least one radial inlet hole in the drilling end and an opening at the end of the shank is adapted to receive fluid from the container. The tool also includes a cylindrical chamber affixed to the end of the shank opposite to the drilling portion thereof for receiving and storing fluid passing through the passageway. The tool also includes a flexible, deformable gasket that provides a fluid-tight chamber to confine kerf generated during the drilling and tapping of the hole. The invention also includes a fluid extractor section for extracting fluid samples from the fluid collecting section.

  1. Surge Block Method for Controlling Well Clogging and Sampling Sediment during Bioremediation

    SciTech Connect (OSTI)

    Wu, Wei-min [Stanford University] [Stanford University; Watson, David B [ORNL] [ORNL; Luo, Jian [Stanford University] [Stanford University; Carley, Jack M [ORNL] [ORNL; Mehlhorn, Tonia L [ORNL] [ORNL; Kitanidis, Peter K. [Stanford University] [Stanford University; Jardine, Philip [University of Tennessee, Knoxville (UTK)] [University of Tennessee, Knoxville (UTK); Criddle, Craig [Stanford University] [Stanford University

    2013-01-01T23:59:59.000Z

    A surge block treatment method (i.e. inserting a solid rod plunger with a flat seal that closely fits the casing interior into a well and stocking it up and down) was performed for the rehabilitation of wells clogged with biomass and for the collection of time series sediment samples during in situ bioremediation tests for U(VI) immobilization at a the U.S. Department of Energy site in Oak Ridge, TN. The clogging caused by biomass growth had been controlled by using routine surge block treatment for18 times over a nearly four year test period. The treatment frequency was dependent of the dosage of electron donor injection and microbial community developed in the subsurface. Hydraulic tests showed that the apparent aquifer transmissivity at a clogged well with an inner diameter (ID) of 10.16 cm was increased by 8 13 times after the rehabilitation, indicating the effectiveness of the rehabilitation. Simultaneously with the rehabilitation, the surge block method was successfully used for collecting time series sediment samples composed of fine particles (clay and silt) from wells with ID 1.9 10.16 cm for the analysis of mineralogical and geochemical composition and microbial community during the same period. Our results demonstrated that the surge block method provided a cost-effective approach for both well rehabilitation and frequent solid sampling at the same location.

  2. Radioactive sample effects on EDXRF spectra

    SciTech Connect (OSTI)

    Worley, Christopher G [Los Alamos National Laboratory

    2008-01-01T23:59:59.000Z

    Energy dispersive X-ray fluorescence (EDXRF) is a rapid, straightforward method to determine sample elemental composition. A spectrum can be collected in a few minutes or less, and elemental content can be determined easily if there is adequate energy resolution. Radioactive alpha emitters, however, emit X-rays during the alpha decay process that complicate spectral interpretation. This is particularly noticeable when using a portable instrument where the detector is located in close proximity to the instrument analysis window held against the sample. A portable EDXRF instrument was used to collect spectra from specimens containing plutonium-239 (a moderate alpha emitter) and americium-241 (a heavy alpha emitter). These specimens were then analyzed with a wavelength dispersive XRF (WDXRF) instrument to demonstrate the differences to which sample radiation-induced X-ray emission affects the detectors on these two types of XRF instruments.

  3. Network sampling and classification: An investigation of network model representations

    E-Print Network [OSTI]

    Needleman, Daniel

    only one or two connectivity patterns of an observed network--such as degree distribution, or diameterNetwork sampling and classification: An investigation of network model representations Edoardo M: Connectivity pattern Network type Network metrics Network sampling Network classification Methods

  4. Geophysical Research Abstracts, Vol. 6, 01855, 2004 SRef-ID: 1607-7962/gra/EGU04-A-01855

    E-Print Network [OSTI]

    Demouchy, Sylvie

    Geophysical Research Abstracts, Vol. 6, 01855, 2004 SRef-ID: 1607-7962/gra/EGU04-A-01855 c European (benoit@dstu.univ-montp2.fr), (2) Department of Geology and Geophysics, Texas A&M University, College

  5. Geophysical Research Abstracts, Vol. 9, 11521, 2007 SRef-ID: 1607-7962/gra/EGU2007-A-11521

    E-Print Network [OSTI]

    Jamieson, Bruce

    Geophysical Research Abstracts, Vol. 9, 11521, 2007 SRef-ID: 1607-7962/gra/EGU2007-A-11521, University of Calgary, Calgary AB, Canada, (3) Department of Geology and Geophysics, University of Calgary

  6. Geophysical Research Abstracts, Vol. 8, 05723, 2006 SRef-ID: 1607-7962/gra/EGU06-A-05723

    E-Print Network [OSTI]

    Demouchy, Sylvie

    Geophysical Research Abstracts, Vol. 8, 05723, 2006 SRef-ID: 1607-7962/gra/EGU06-A-05723 © European) Scripps Inst. of Oceanography, UCSD, la Jolla, USA, (3) Dpt of Geology and Geophysics, Univ. of Wyoming

  7. Geophysical Research Abstracts, Vol. 8, 06396, 2006 SRef-ID: 1607-7962/gra/EGU06-A-06396

    E-Print Network [OSTI]

    Jamieson, Bruce

    Geophysical Research Abstracts, Vol. 8, 06396, 2006 SRef-ID: 1607-7962/gra/EGU06-A-06396 © European) Dept. of Geology and Geophysics, University of Calgary, Alberta, Canada This study investigates

  8. Visual Sample Plan (VSP) - FIELDS Integration

    SciTech Connect (OSTI)

    Pulsipher, Brent A.; Wilson, John E.; Gilbert, Richard O.; Hassig, Nancy L.; Carlson, Deborah K.; Bing-Canar, John; Cooper, Brian; Roth, Chuck

    2003-04-19T23:59:59.000Z

    Two software packages, VSP 2.1 and FIELDS 3.5, are being used by environmental scientists to plan the number and type of samples required to meet project objectives, display those samples on maps, query a database of past sample results, produce spatial models of the data, and analyze the data in order to arrive at defensible decisions. VSP 2.0 is an interactive tool to calculate optimal sample size and optimal sample location based on user goals, risk tolerance, and variability in the environment and in lab methods. FIELDS 3.0 is a set of tools to explore the sample results in a variety of ways to make defensible decisions with quantified levels of risk and uncertainty. However, FIELDS 3.0 has a small sample design module. VSP 2.0, on the other hand, has over 20 sampling goals, allowing the user to input site-specific assumptions such as non-normality of sample results, separate variability between field and laboratory measurements, make two-sample comparisons, perform confidence interval estimation, use sequential search sampling methods, and much more. Over 1,000 copies of VSP are in use today. FIELDS is used in nine of the ten U.S. EPA regions, by state regulatory agencies, and most recently by several international countries. Both software packages have been peer-reviewed, enjoy broad usage, and have been accepted by regulatory agencies as well as site project managers as key tools to help collect data and make environmental cleanup decisions. Recently, the two software packages were integrated, allowing the user to take advantage of the many design options of VSP, and the analysis and modeling options of FIELDS. The transition between the two is simple for the user – VSP can be called from within FIELDS, automatically passing a map to VSP and automatically retrieving sample locations and design information when the user returns to FIELDS. This paper will describe the integration, give a demonstration of the integrated package, and give users download instructions and software requirements for running the integrated package.

  9. Project Name Project Number Tagging Type

    E-Print Network [OSTI]

    Project Name Project Number Primary Tagging Type Secondary Tagging Type Fish Species Tagging/ Secondary Legal Driver (BiOp, MOA, Accord, etc.) Tagging Purpose Funded Entity Tagging Location Retrieval CWT Recovery Project 2010-036-00 CWT PIT Chinook, coho retrieval, analysis, address PSMFC sampling

  10. Serum markers for type II diabetes mellitus

    DOE Patents [OSTI]

    Metz, Thomas O; Qian, Wei-Jun; Jacobs, Jon M; Polpitiya, Ashoka D; Camp, II, David G; Smith, Richard D

    2014-03-18T23:59:59.000Z

    A method for identifying persons with increased risk of developing type 2 diabetes mellitus utilizing selected biomarkers described hereafter either alone or in combination. The present invention allows for broad based, reliable, screening of large population bases and provides other advantages, including the formulation of effective strategies for characterizing, archiving, and contrasting data from multiple sample types under varying conditions.

  11. English Bachelor Modules Dep. EI 09/14 Modul ID Modulbezeichnung Sem. ECTS

    E-Print Network [OSTI]

    Kuehnlenz, Kolja

    English Bachelor Modules Dep. EI 09/14 Modul ID Modulbezeichnung Sem. ECTS Lehrform V/Ü/P SWS Prüfungsart Spra- che EI0679 Basic Laboratory Course on Telecommunications WS/SS 5 0/0/4 4 7x s, 30 min (je 1/7) E EI0554 Blockpraktikum C++ WS/SS 6 2/0/4 6 s, 60 min (60%) + m (40%) + l (SL) D/E EI0607

  12. Assignment Types UTS LIBRARY

    E-Print Network [OSTI]

    University of Technology, Sydney

    Assignment Types UTS LIBRARY February 2013 Academic Writing Guide Part 2 ­ Assignment Types: This section outlines the basic types of written assignments, providing structural elements and examples. #12;2 II. Assignment Types 1. Essay Writing

  13. Specified assurance level sampling procedure

    SciTech Connect (OSTI)

    Willner, O.

    1980-11-01T23:59:59.000Z

    In the nuclear industry design specifications for certain quality characteristics require that the final product be inspected by a sampling plan which can demonstrate product conformance to stated assurance levels. The Specified Assurance Level (SAL) Sampling Procedure has been developed to permit the direct selection of attribute sampling plans which can meet commonly used assurance levels. The SAL procedure contains sampling plans which yield the minimum sample size at stated assurance levels. The SAL procedure also provides sampling plans with acceptance numbers ranging from 0 to 10, thus, making available to the user a wide choice of plans all designed to comply with a stated assurance level.

  14. Sampling for Bacteria in Wells 

    E-Print Network [OSTI]

    Lesikar, Bruce J.

    2001-11-15T23:59:59.000Z

    Sampling for Bacteria in Wells E-126 11/01 Water samples for bacteria tests must always be col- lected in a sterile container. The procedure for collect- ing a water sample is as follows: 1. Obtain a sterile container from a Health Department... immediately after collecting water sample. Refrigerate the sample and transport it to the laborato- ry (in an ice chest) as soon after collection as possible (six hours is best, but up to 30 hours). Many labs will not accept bacteria samples on Friday so check...

  15. Hanford Site Environmental Surveillance Master Sampling Schedule for Calendar Year 2007

    SciTech Connect (OSTI)

    Bisping, Lynn E.

    2007-01-31T23:59:59.000Z

    This document contains the calendar year 2007 schedule for the routine collection of samples for the Surface Environmental Surveillance Project and Drinking Water Monitoring Project. Each section includes sampling locations, sampling frequencies, sample types, and analyses to be performed. In some cases, samples are scheduled on a rotating basis and may not be collected in 2007 in which case the anticipated year for collection is provided. Maps showing approximate sampling locations are included for media scheduled for collection in 2007.

  16. Getting the Best Out of Fluid Samples John M. Williams, SPE, Science Support Services

    E-Print Network [OSTI]

    Williams, John M.

    essentially involves collecting surface samples of the oil and gas from the production test separator, bottomhole samples from the wellbore, or both types of samples. For separator gas samples, the quality checks are (1) determination of opening pressure; (2) compositional analysis, including air content; and (3

  17. 3 - DJ : sampling as design

    E-Print Network [OSTI]

    Patel, Sayjel Vijay

    2015-01-01T23:59:59.000Z

    3D Sampling is introduced as a new spatial craft that can be applied to architectural design, akin to how sampling is applied in the field of electronic music. Through the development of 3-DJ, a prototype design software, ...

  18. Sampling for Bacteria in Wells

    E-Print Network [OSTI]

    Lesikar, Bruce J.

    2001-11-15T23:59:59.000Z

    Sampling for Bacteria in Wells E-126 11/01 Water samples for bacteria tests must always be col- lected in a sterile container. The procedure for collect- ing a water sample is as follows: 1. Obtain a sterile container from a Health Department...

  19. ON ADAPTIVE SAMPLING Philippe Flajolet

    E-Print Network [OSTI]

    Flajolet, Philippe

    . We analyze the storage/accuracy trade--off of an adaptive sampling algorithm due to Wegman that makes. Wegman [11] has proposed an interesting alternative solution to that problem based on Adaptive Sampling 4. 2 Wegman's Adaptive Sampling Method The problem discussed here is the following. We are given

  20. Spectral Thompson Sampling Tomas Kocak

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Spectral Thompson Sampling Tom´as Koc´ak SequeL team INRIA Lille - Nord Europe France Michal Valko Thompson Sampling (TS) has surged a lot of interest due to its good empirical performance, in particular that our algorithm is com- petitive on both synthetic and real-world data. 1 Introduction Thompson Sampling

  1. Types of Costs Types of Cost Estimates

    E-Print Network [OSTI]

    Boisvert, Jeff

    · Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408: Mining% accuracy. ­ 2-5% of pre-production capital Types of Cost Estimates #12;3. Definitive ­ Based on definitive-even $ Production Level Fixed Cost Break-even $ Production Level Cost-Revenue Relationships · Capital Costs (or

  2. 6/10/12 Researchers Develop New Method to Measure Bubble Size Distribution in Pipelines 1/2www.azomining.com/news.aspx?newsID=6367

    E-Print Network [OSTI]

    Sóbester, András

    .azomining.com/news.aspx?newsID=6367 0 Posted in | Natural Gas | Oil Shale Read in | English | Espańol | Français | Deutsch | Portuguęs

  3. Natural Radioactivity of Boron Added Clay Samples

    SciTech Connect (OSTI)

    Akkurt, I.; Guenoglu, K. [Sueleyman Demirel University, Faculty of Arts and Sciences, Dept. of Physics, Isparta (Turkey); Canakcii, H. [Gaziantep University, Engineering Faculty, Civil Engineering Dept., Gaziantep (Turkey); Mavi, B. [Amasya University, Faculty of Arts and Sciences, Dept. of Physics, Amasya (Turkey)

    2011-12-26T23:59:59.000Z

    Clay, consisting fine-grained minerals, is an interesting materials and can be used in a variety of different fields especially in dermatology application. Using clay such a field it is important to measure its natural radioactivity. Thus the purpose of this study is to measure {sup 226}Ra, {sup 232}Th and {sup 40}K concentration in clay samples enriched with boron. Three different types of clay samples were prepared where boron is used in different rate. The measurements have been determined using a gamma-ray spectrometry consists of a 3''x3'' NaI(Tl) detector. From the measured activity the radium equivalent activities (Ra{sub eq}), external hazard index (H{sub ex}), absorbed dose rate in air (D) and annual effective dose (AED) have also been obtained.

  4. A State-of-the-art Survey on IDS for Mobile Ad-Hoc Networks and Wireless Mesh Networks

    E-Print Network [OSTI]

    Deb, Novarun; Chaki, Nabendu

    2011-01-01T23:59:59.000Z

    An Intrusion Detection System (IDS) detects malicious and selfish nodes in a network. Ad hoc networks are often secured by using either intrusion detection or by secure routing. Designing efficient IDS for wireless ad-hoc networks that would not affect the performance of the network significantly is indeed a challenging task. Arguably, the most common thing in a review paper in the domain of wireless networks is to compare the performances of different solutions using simulation results. However, variance in multiple configuration aspects including that due to different underlying routing protocols, makes the task of simulation based comparative evaluation of IDS solutions somewhat unrealistic. In stead, the authors have followed an analytic approach to identify the gaps in the existing IDS solutions for MANETs and wireless mesh networks. The paper aims to ease the job of a new researcher by exposing him to the state of the art research issues on IDS. Nearly 80% of the works cited in this paper are published ...

  5. Acceptance sampling using judgmental and randomly selected samples

    SciTech Connect (OSTI)

    Sego, Landon H.; Shulman, Stanley A.; Anderson, Kevin K.; Wilson, John E.; Pulsipher, Brent A.; Sieber, W. Karl

    2010-09-01T23:59:59.000Z

    We present a Bayesian model for acceptance sampling where the population consists of two groups, each with different levels of risk of containing unacceptable items. Expert opinion, or judgment, may be required to distinguish between the high and low-risk groups. Hence, high-risk items are likely to be identifed (and sampled) using expert judgment, while the remaining low-risk items are sampled randomly. We focus on the situation where all observed samples must be acceptable. Consequently, the objective of the statistical inference is to quantify the probability that a large percentage of the unsampled items in the population are also acceptable. We demonstrate that traditional (frequentist) acceptance sampling and simpler Bayesian formulations of the problem are essentially special cases of the proposed model. We explore the properties of the model in detail, and discuss the conditions necessary to ensure that required samples sizes are non-decreasing function of the population size. The method is applicable to a variety of acceptance sampling problems, and, in particular, to environmental sampling where the objective is to demonstrate the safety of reoccupying a remediated facility that has been contaminated with a lethal agent.

  6. Sample Residential Program Term Sheet

    Broader source: Energy.gov [DOE]

    A sample for defining and elaborating on the specifics of a clean energy loan program. Author: U.S. Department of Energy

  7. IWTU Process Sample Analysis Report

    SciTech Connect (OSTI)

    Nick Soelberg

    2013-04-01T23:59:59.000Z

    CH2M-WG Idaho (CWI) requested that Battelle Energy Alliance (BEA) analyze various samples collected during June – August 2012 at the Integrated Waste Treatment Facility (IWTU). Samples of IWTU process materials were collected from various locations in the process. None of these samples were radioactive. These samples were collected and analyzed to provide more understanding of the compositions of various materials in the process during the time of the process shutdown that occurred on June 16, 2012, while the IWTU was in the process of nonradioactive startup.

  8. Comments on Docket ID: DOE-HQ-2011-0014 | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613PortsmouthBartlesville EnergyDepartment. CashDay-June 22,on Docket ID: DOE-HQ-2011-0014

  9. Idaho How to Obtain EPA ID Number Webpage | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty, Texas:ITC TransmissionIdaho DEQ StorageObtain EPA ID

  10. File:USDA-CE-Production-GIFmaps-ID.pdf | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdf Jump to:ar-80m.pdf Jump to:Originalfaq.pdfFinal.pdf Jump to:AZ.pdfGA.pdfID.pdf

  11. Types of Commissioning

    Broader source: Energy.gov [DOE]

    Several commissioning types exist to address the specific needs of equipment and systems across both new and existing buildings. The following commissioning types provide a good overview.

  12. Defining And Characterizing Sample Representativeness For DWPF Melter Feed Samples

    SciTech Connect (OSTI)

    Shine, E. P.; Poirier, M. R.

    2013-10-29T23:59:59.000Z

    Representative sampling is important throughout the Defense Waste Processing Facility (DWPF) process, and the demonstrated success of the DWPF process to achieve glass product quality over the past two decades is a direct result of the quality of information obtained from the process. The objective of this report was to present sampling methods that the Savannah River Site (SRS) used to qualify waste being dispositioned at the DWPF. The goal was to emphasize the methodology, not a list of outcomes from those studies. This methodology includes proven methods for taking representative samples, the use of controlled analytical methods, and data interpretation and reporting that considers the uncertainty of all error sources. Numerous sampling studies were conducted during the development of the DWPF process and still continue to be performed in order to evaluate options for process improvement. Study designs were based on use of statistical tools applicable to the determination of uncertainties associated with the data needs. Successful designs are apt to be repeated, so this report chose only to include prototypic case studies that typify the characteristics of frequently used designs. Case studies have been presented for studying in-tank homogeneity, evaluating the suitability of sampler systems, determining factors that affect mixing and sampling, comparing the final waste glass product chemical composition and durability to that of the glass pour stream sample and other samples from process vessels, and assessing the uniformity of the chemical composition in the waste glass product. Many of these studies efficiently addressed more than one of these areas of concern associated with demonstrating sample representativeness and provide examples of statistical tools in use for DWPF. The time when many of these designs were implemented was in an age when the sampling ideas of Pierre Gy were not as widespread as they are today. Nonetheless, the engineers and statisticians used carefully thought out designs that systematically and economically provided plans for data collection from the DWPF process. Key shared features of the sampling designs used at DWPF and the Gy sampling methodology were the specification of a standard for sample representativeness, an investigation that produced data from the process to study the sampling function, and a decision framework used to assess whether the specification was met based on the data. Without going into detail with regard to the seven errors identified by Pierre Gy, as excellent summaries are readily available such as Pitard [1989] and Smith [2001], SRS engineers understood, for example, that samplers can be biased (Gy?s extraction error), and developed plans to mitigate those biases. Experiments that compared installed samplers with more representative samples obtained directly from the tank may not have resulted in systematically partitioning sampling errors into the now well-known error categories of Gy, but did provide overall information on the suitability of sampling systems. Most of the designs in this report are related to the DWPF vessels, not the large SRS Tank Farm tanks. Samples from the DWPF Slurry Mix Evaporator (SME), which contains the feed to the DWPF melter, are characterized using standardized analytical methods with known uncertainty. The analytical error is combined with the established error from sampling and processing in DWPF to determine the melter feed composition. This composition is used with the known uncertainty of the models in the Product Composition Control System (PCCS) to ensure that the wasteform that is produced is comfortably within the acceptable processing and product performance region. Having the advantage of many years of processing that meets the waste glass product acceptance criteria, the DWPF process has provided a considerable amount of data about itself in addition to the data from many special studies. Demonstrating representative sampling directly from the large Tank Farm tanks is a difficult, if not unsolvable enterprise due to li

  13. Hazard Sampling Dialog General Layout

    E-Print Network [OSTI]

    Zhang, Tao

    1 Hazard Sampling Dialog General Layout The dialog's purpose is to display information about the hazardous material being sampled by the UGV so either the system or the UV specialist can identify the risk level of the hazard. The dialog is associated with the hazmat reading icons (Table 1). Components

  14. Database Sampling with Functional Dependencies

    E-Print Network [OSTI]

    Riera, Jesús Bisbal

    Database Sampling with Functional Dependencies Jes´us Bisbal, Jane Grimson Department of Computer there is a need to prototype the database which the applications will use when in operation. A prototype database can be built by sampling data from an existing database. Including relevant semantic information when

  15. BLOOD SAMPLING SYSTEM TROUBLESHOOTING TIPS

    E-Print Network [OSTI]

    Kay, Mark A.

    SAFESET TM BLOOD SAMPLING SYSTEM SAFESETTM TROUBLESHOOTING TIPS TO PREVENT BLOOD BACKING UP IN LINE that all air bubbles have been eliminated when priming o Invert and tap blood sampling ports to remove air volume o Reinfuse the patient's blood slowly, no faster than 1mL per second, by pressing the plunger back

  16. Sample push-out fixture

    DOE Patents [OSTI]

    Biernat, John L. (Scotia, NY)

    2002-11-05T23:59:59.000Z

    This invention generally relates to the remote removal of pelletized samples from cylindrical containment capsules. V-blocks are used to receive the samples and provide guidance to push out rods. Stainless steel liners fit into the v-channels on the v-blocks which permits them to be remotely removed and replaced or cleaned to prevent cross contamination between capsules and samples. A capsule holder securely holds the capsule while allowing manual up/down and in/out movement to align each sample hole with the v-blocks. Both end sections contain identical v-blocks; one that guides the drive out screw and rods or manual push out rods and the other to receive the samples as they are driven out of the capsule.

  17. Types of Costs Types of Cost Estimates

    E-Print Network [OSTI]

    Boisvert, Jeff

    05-1 · Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408-Revenue Relationships · Capital Costs (or first cost or capital investment): ­ Expenditures made to acquire or develop capital assets ­ Three main classes of capital costs: 1. Depreciable Investment: · Investment allocated

  18. Sample handling for kinetics and molecular assembly in flow cytometry

    SciTech Connect (OSTI)

    Sklar, L.A. [Los Alamos National Lab., NM (United States). National Flow Cytometry Resource]|[Univ. of New Mexico, Albuquerque, NM (United States). School of Medicine; Seamer, L.C.; Kuckuck, F.; Prossnitz, E.; Edwards, B. [Univ. of New Mexico, Albuquerque, NM (United States). School of Medicine; Posner, G. [Northern Arizona Univ., Flagstaff, AZ (United States). Dept. of Chemistry

    1998-07-01T23:59:59.000Z

    Flow cytometry discriminates particle associated fluorescence from the fluorescence of the surrounding medium. It permits assemblies of macromolecular complexes on beads or cells to be detected in real-time with precision and specificity. The authors have investigated two types of robust sample handling systems which provide sub-second resolution and high throughput: (1) mixers which use stepper-motor driven syringes to initiate chemical reactions in msec time frames; and (2) flow injection controllers with valves and automated syringes used in chemical process control. In the former system, the authors used fast valves to overcome the disparity between mixing 100 {micro}ls of sample in 100 msecs and delivering sample to a flow cytometer at 1 {micro}l/sec. Particles were detected within 100 msec after mixing, but turbulence was created which lasted for 1 sec after injection of the sample into the flow cytometer. They used optical criteria to discriminate particles which were out of alignment due to the turbulent flow. Complex sample handling protocols involving multiple mixing steps and sample dilution have also been achieved. With the latter system they were able to automate sample handling and delivery with intervals of a few seconds. The authors used a fluidic approach to defeat turbulence caused by sample introduction. By controlling both sheath and sample with individual syringes, the period of turbulence was reduced to {approximately} 200 msecs. Automated sample handling and sub-second resolution should permit broad analytical and diagnostic applications of flow cytometry.

  19. 1 Managed by UT-Battelle for the U.S. Department of Energy NF-IDS Videoconference 2 Jun 2009

    E-Print Network [OSTI]

    McDonald, Kirk

    1 Managed by UT-Battelle for the U.S. Department of Energy NF-IDS Videoconference 2 Jun 2009 by UT-Battelle for the U.S. Department of Energy NF-IDS Videoconference 2 Jun 2009 Purpose · Compare · Compilation of magnet geometry data #12;3 Managed by UT-Battelle for the U.S. Department of Energy NF

  20. http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1342&pid=1336&topicname=Intersect_(Analysis) Intersect Computes a geometric intersection of the Input Features. Features or portions of

    E-Print Network [OSTI]

    Brownstone, Rob

    http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1342&pid=1336&topicname;http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1342&pid=1336&topicname

  1. http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1829&pid=1824&topicname=Merge_(Data_Management) Merge Combines input features from multiple input sources (of the same datatype) into a single,

    E-Print Network [OSTI]

    Brownstone, Rob

    http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1829&pid=1824&topicname://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1829&pid=1824&topicname=Merge_(Data_Management) Parameters: Input Datasets

  2. http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1348&pid=1347&topicname=Buffer_(Analysis) Buffer Creates buffer polygons to a specified distance around the Input Features. An optional

    E-Print Network [OSTI]

    Brownstone, Rob

    http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1348&pid=1347&topicname ­Proximity Toolset ­ Buffer #12;http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1348&pid=1347

  3. http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1840&pid=1837&topicname=Dissolve_(Data_Management) Dissolve Aggregates features based on specified attributes. It removes internal boundaries.

    E-Print Network [OSTI]

    Brownstone, Rob

    http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1840&pid=1837&topicname://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1840&pid=1837&topicname=Dissolve_(Data_Management) Parameters: Input Features

  4. SST Sample Characterization Analysis of Archive Samples 102-C, 105-C, and 106-C

    SciTech Connect (OSTI)

    Hara, F. T.; Kaye, J. H.; Steele, R. T.; Stromatt, R. W.; Thomas, D. L.; Urie, M. W.

    1990-04-01T23:59:59.000Z

    A substantial effort is planned to be initiated at the Hanford Site regarding the characterization of 149 single-shell tanks (SSTs) containing the byproducts of reprocessing during the 1950s and 1960s. Sampling and analysis, in distinct phases, are planned to involve laboratory investigations to determine both chemical and radionuclide inventories, so that waste disposal decisions can be developed. During 1989, trial analyses were performed on four archived samples from SSTs at the Pacific Northwest Laboratory using established U.S. Environmental Protection Agency (EPA) protocols and radiochemical procedures. The analysis of the archived SST waste material provides three important types of data for use in planning Phase I-A and Phase 1-B sample analysis. The types of data served as input to I) fi na 1 i zing the waste samp 1 e analysis procedures and methods and identify where procedure developmen~ may be needed, 2) evaluating the impact of normal paraffin hydrocarbon (NPH) lubricant {used in field sampling) on extracting inorganics or radionuclides from the SST sample, and 3) identifying trends in amounts of occupational radiation exposure expected from performing the various analysis procedures. Overall, the results are qualitative in nature, and the conclusions given are to be used with appropriate respect for the limitations of small amounts of data from four samples used in development processes. The results of the Phase I-A and I-B sample analysis will provide essential data for method performance for use in finalizing Phase I-C planning and methods development scope. Section 2.0, Inorganic Analysis, encompasses sample preparation, sample analysis, identification of methods performance limitations, and possible alternatives. Performance of the inorganic analytical methods was evaluated and changes were made to some of the procedures. In some cases, inductively coupled plasma-atomic emission spectroscopy (referred to in this report as ICP) did not provide the levels of accuracy and precision usually required for EPA work due to interference by other elements. In these cases, other methods are suggested as appropriate for trial as alternatives. In all cases, duplicates, spikes, and blanks were used to establish performance of the methods for the specific waste matrix. Results focused on problems in using the methods tested on the samples, the suitability of the ICP method of determining EP Toxicity metal ions and 22 EPA pollutant metal ions, and the suitability of cold vapor atomic absorption (CVAA) for mercury determinations. Problems areas identified are ICP spectral corrections, poor reproducibility from water leach and EP Toxicity methods, and adjustments needed for mercury analysis by CVAA. Section 3.0, Organics Analysis, details two screening procedures [total organic carbon (TOC) and gas chromatography (GC)], extraction procedures and related problems, surrogate spiking to test extraction efficiencies and matrix effects, and semivolatile organics via GC/mass spectroscopy (MS). The results show that the GC/MS is vulnerable to fouling and overload and that a combination of dilution and perhaps acidification are required to provide acceptable results. NPH and silicone-based lubricants from the sampling process impact the semivolatile analysis; however, with some modification the semivolatile method based on EPA SOW 288 can be used. Section 4.0, Radionuclide Analysis, evaluates procedures used to measure the radionuclides that might be found in the SST tank waste samples and establishes the level of accuracy and precision that can be expected. These data reveal that additional procedure development is needed in order to measure all of the radionuclides listed in Table 4-14 of the Waste Characterization Plan. In addition, the archive samples analyzed may not be representative of the tank population and considerable adaptation of the radiochemical procedures may be necessary to perform the desired measurements. NPH tests were conducted to determine whether the NPH from the field sampling process extracted significan

  5. Sample Business Plan Framework 3

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy Better Buildings Neighborhood Program: Sample Business Plan Framework 1: A program seeking to continue operations in the post-grant period as a not-for-profit (NGO) entity.

  6. Sample Business Plan Framework 2

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy Better Buildings Neighborhood Program: Sample Business Plan Framework 1: A program seeking to continue operations in the post-grant period as a not-for-profit (NGO) entity.

  7. Sample Business Plan Framework 4

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy Better Buildings Neighborhood Program: Sample Business Plan Framework 1: A program seeking to continue operations in the post-grant period as a not-for-profit (NGO) entity.

  8. Sample Business Plan Framework 1

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy Better Buildings Neighborhood Program: Sample Business Plan Framework 1: A program seeking to continue operations in the post-grant period as a not-for-profit (NGO) entity.

  9. 5/7/10 7:36 AMEureka!: UMass researchers study messengers from the stars Page 1 of 3http://www.gazettenet.com/print/268409?CSAuthResp=%3Asession%...ss%3AMMkuMGHWo1eZ4aGIQGMuaQ%3D%3D&CSUserId=49689&CSGroupId=5

    E-Print Network [OSTI]

    Lovley, Derek

    /268409?CSAuthResp=%3Asession%...ss%3AMMkuMGHWo1eZ4aGIQGMuaQ%3D%3D&CSUserId=49689&CSGroupId=5 Published?CSAuthResp=%3Asession%...ss%3AMMkuMGHWo1eZ4aGIQGMuaQ%3D%3D&CSUserId=49689&CSGroupId=5 radioactive decay5/7/10 7:36 AMEureka!: UMass researchers study messengers from the stars Page 1 of 3http://www.gazettenet.com/print

  10. DOE methods for evaluating environmental and waste management samples.

    SciTech Connect (OSTI)

    Goheen, S C; McCulloch, M; Thomas, B L; Riley, R G; Sklarew, D S; Mong, G M; Fadeff, S K [eds.; Pacific Northwest Lab., Richland, WA (United States)

    1994-04-01T23:59:59.000Z

    DOE Methods for Evaluating Environmental and Waste Management Samples (DOE Methods) provides applicable methods in use by. the US Department of Energy (DOE) laboratories for sampling and analyzing constituents of waste and environmental samples. The development of DOE Methods is supported by the Laboratory Management Division (LMD) of the DOE. This document contains chapters and methods that are proposed for use in evaluating components of DOE environmental and waste management samples. DOE Methods is a resource intended to support sampling and analytical activities that will aid in defining the type and breadth of contamination and thus determine the extent of environmental restoration or waste management actions needed, as defined by the DOE, the US Environmental Protection Agency (EPA), or others.

  11. Characterization of various bitumen samples from tar sands

    SciTech Connect (OSTI)

    Majid, A.; Bornais, J.; Hutchison, R.A. (National Research Council of Canada, Ottawa, ON (Canada). Div. of Chemistry)

    1989-01-01T23:59:59.000Z

    The authors have investigated twenty three bitumen samples obtained using different separation methods such as: ultracentrifugation, Dean-Stark extraction, solvent extraction employing vigorous agitation, hot water separation and the Solvent Extraction Spherical Agglomeration technique. These samples were extracted from oil sand feedstocks of different grades, Suncor sludge pond tailings and mineral agglomerates obtained form the Solvent Extraction Spherical Agglomeration process. All of the bitumen samples were examined on a comparative basis using various analytical techniques. These included: fractionation into asphaltenes and maltenes: elemental analyses; molecular weight determination using vapour pressure osmometry and gel permeation chromatography, infrared, proton and /sup 13/C nuclear magnetic resonance spectroscopy. Proton /sup 13/C n.m.r. spectroscopic data were used to determine the distribution of various types of hydrogens and carbons in the samples. These data were also used to derive various molecular parameters in order to investigate average molecular structures of different bitumen samples and some of their asphaltene fractions.

  12. Fluidics platform and method for sample preparation and analysis

    DOE Patents [OSTI]

    Benner, W. Henry; Dzenitis, John M.; Bennet, William J.; Baker, Brian R.

    2014-08-19T23:59:59.000Z

    Herein provided are fluidics platform and method for sample preparation and analysis. The fluidics platform is capable of analyzing DNA from blood samples using amplification assays such as polymerase-chain-reaction assays and loop-mediated-isothermal-amplification assays. The fluidics platform can also be used for other types of assays and analyzes. In some embodiments, a sample in a sealed tube can be inserted directly. The following isolation, detection, and analyzes can be performed without a user's intervention. The disclosed platform may also comprises a sample preparation system with a magnetic actuator, a heater, and an air-drying mechanism, and fluid manipulation processes for extraction, washing, elution, assay assembly, assay detection, and cleaning after reactions and between samples.

  13. Max Planck Institute for Biological Cybernetics, Tbingen, Germany VSS 2002, #18.3 ID501 Spatial updating in virtual environments

    E-Print Network [OSTI]

    Max Planck Institute for Biological Cybernetics, Tübingen, Germany VSS 2002, #18.3 ID501 Spatial: What are vestibular cues good for? MPI for Biological Cybernetics, Germany 2 "Voluntary" vs Cybernetics, Germany 3 Methods - Setup · Vestibular stimuli: 6 dof Motion Platform · Visual stimuli: LCD video

  14. Advances in Geosciences, 2, 255257, 2005 SRef-ID: 1680-7359/adgeo/2005-2-255

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    The wind and wave atlas of the Mediterranean Sea ­ the calibration phase L. Cavaleri Institutte of Marine by the Italian, French and Greek Navies, an extensive atlas of the wind and wave conditions in the MediterraneanAdvances in Geosciences, 2, 255­257, 2005 SRef-ID: 1680-7359/adgeo/2005-2-255 European Geosciences

  15. Advances in Geosciences, 7, 327331, 2006 SRef-ID: 1680-7359/adgeo/2006-7-327

    E-Print Network [OSTI]

    Romero, Romu

    Advances in Geosciences, 7, 327­331, 2006 SRef-ID: 1680-7359/adgeo/2006-7-327 European Geosciences Cyclogenesis in the lee of the Atlas Mountains: a factor separation numerical study K. Horvath1, L. Fita2, R of Atlas Mountains is in- vestigated by a series of numerical experiments using the MM5 forecast model

  16. MIC 2009: The VIII Metaheuristics International Conference id-1 Non-Linear Great Deluge with Learning Mechanism for Solving

    E-Print Network [OSTI]

    Landa-Silva, Dario

    M IC 2009 MIC 2009: The VIII Metaheuristics International Conference id-1 Non-Linear Great Deluge acceptance criterion while Kendall and Mohamad [15] used the great deluge acceptance criterion. Hamburg In this paper, we propose an approach that uses a learning mechanism and a non-linear great deluge acceptance

  17. This is an author-deposited version published in: http://oatao.univ-toulouse.fr/ Eprints ID: 6656

    E-Print Network [OSTI]

    Mailhes, Corinne

    This is an author-deposited version published in: http://oatao.univ-toulouse.fr/ Eprints ID: 6656 to Flow Coefficient Map: Application to Radial Turbine. (2012) Journal of Thermal Science, vol. 21 (n° 6 to radial turbine Xavier CARBONNEAU and Nicolas BINDER Université de Toulouse Institut Supérieur de l

  18. Geophysical Research Abstracts, Vol. 9, 06422, 2007 SRef-ID: 1607-7962/gra/EGU2007-A-06422

    E-Print Network [OSTI]

    BrĂĽckl, Ewald

    Geophysical Research Abstracts, Vol. 9, 06422, 2007 SRef-ID: 1607-7962/gra/EGU2007-A-06422 © European Geosciences Union 2007 Deep Alpine Valleys - examples of geophysical explorations in Austria E. Brückl (1), J. Brückl (2), W. Chwatal (1), Ch. Ullrich (1,3) (1) Institute of Geodesy and Geophysics

  19. VIBRATIONAL MEASUREMENTS IN 3-ID-B J. Sutter1, E. Alp1, J. Barraza2, D. Shu2

    E-Print Network [OSTI]

    Kemner, Ken

    noise that could have a ected our measurements. However, the table itself was equipped with six motors table's position and angle. Because these motors could also have produced vibrations on the table top1 VIBRATIONAL MEASUREMENTS IN 3-ID-B J. Sutter1, E. Alp1, J. Barraza2, D. Shu2 1 INTRODUCTION We

  20. MUON CAPTURE IN THE FRONT END OF THE IDS NEUTRINO D. Neuffer, Fermilab, Batavia, IL 60510, USA

    E-Print Network [OSTI]

    McDonald, Kirk

    paper discusses the muon capture and cooling system. In this system we follow ref. [2], and set 201 to (nearly) equal central energies, and initiates ionization cooling. The muons are then accelerated to high the scope of a future neutrino Factory facility. INTRODUCTION The goal of the IDS Neutrino Factory

  1. ABSTRACT FINAL ID: SM13B-2055 TITLE: Whistler amplification: a free electron laser in the Earth's magnetosphere

    E-Print Network [OSTI]

    Ng, Chung-Sang

    ABSTRACT FINAL ID: SM13B-2055 TITLE: Whistler amplification: a free electron laser in the Earth on the similarities between free electron lasers (FELs) and whistler mode emissions, we present here a new set in the Earth's magnetosphere that arise due to the interaction of whistler waves with radiation belt electrons

  2. Abstract ID: WED-AM-B3 Use of ion beam analysis techniques to characterise iron corrosion

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Abstract ID: WED-AM-B3 Use of ion beam analysis techniques to characterise iron corrosion under 12 MeV proton irradiation on the corrosion behaviour of pure iron. Oxygen and hydrogen playing a crucial role during the corrosion process have been specifically investigated. Heavy desaerated water

  3. http://resolver.caltech.edu/CaltechOH:OH_Gell-Mann_M Photo ID RFB70.2-4

    E-Print Network [OSTI]

    Dervan, Peter B.

    http://resolver.caltech.edu/CaltechOH:OH_Gell-Mann_M Photo ID RFB70.2-4 MURRAY GELL-MANN (b. 1929, with Murray Gell-Mann, Robert Andrews Millikan Professor of Theoretical Physics, emeritus. Dr. Gell Wasserburg; works on dispersion relations and pseudoscalar meson theory #12;http://resolver.caltech.edu/CaltechOH:OH_Gell

  4. Texas A&M NetID Lifecycle Management for Texas A&M University Employees and Retirees

    E-Print Network [OSTI]

    record status affects inclusion/exclusion of a record in the data feed to the TAMU Identity Management, employee status code `U' has been added for new employee base records added from the UIN manager programTexas A&M NetID Lifecycle Management for Texas A&M University Employees and Retirees This document

  5. Greek Researcher Pioneers Heart ID Suspect in Toronto Murder Nabbed in Greece Greek Literature Translated Into French

    E-Print Network [OSTI]

    Greek Researcher Pioneers Heart ID Suspect in Toronto Murder Nabbed in Greece Greek Literature economic times in Greece and the limited Greek literature exports abroad, the French speaking residents works revolve around the harsh times of World War II and the Civil War in Greece. The anthology also

  6. Day 1 with PowerShell Things I wish I'd known when I started using PowerShell

    E-Print Network [OSTI]

    Cook, John D.

    on the subject. Set the execution policy PowerShell was designed from the beginning with security in mind. Power details.. At line:1 char:13 + .\\myScript.ps1 PowerShell launch faster When Microsoft releasedDay 1 with PowerShell Things I wish I'd known when I started using PowerShell John D. Cook http

  7. Natural Hazards and Earth System Sciences (2004) 4: 775781 SRef-ID: 1684-9981/nhess/2004-4-775

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    2004-01-01T23:59:59.000Z

    electromagnetic (EM) monitoring systems to search possible precursory or co-seismic EM signals associated, magnetic and electro-magnetic fields correlated with seismic activity have been reported in USSR (KopytenkoNatural Hazards and Earth System Sciences (2004) 4: 775­781 SRef-ID: 1684-9981/nhess/2004

  8. AoM 2007 ID Number : 12323 NEW PRODUCT DEVELOPMENT IN A PLATFORM-DRIVEN ORGANIZATION : TOWARDS PLATFORM

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    AoM 2007 ID Number : 12323 NEW PRODUCT DEVELOPMENT IN A PLATFORM-DRIVEN ORGANIZATION : TOWARDS PLATFORM LIFECYCLE MANAGEMENT. SYLVAIN LENFLE, SIHEM JOUINI, CAROLINE DERROUSSEAUX CENTRE DE RECHERCHE EN GESTION, ECOLE POLYTECHNIQUE ABSTRACT Platform product development is now widely used to tackle the cost

  9. The Intracellular Localization of ID2 Expression Has a Predictive Value in Non Small Cell Lung Cancer

    E-Print Network [OSTI]

    Boyer, Edmond

    The Intracellular Localization of ID2 Expression Has a Predictive Value in Non Small Cell Lung-small cell lung cancer (NSCLC) patients and the clinicopathological features and prognosis of these patients Expression Has a Predictive Value in Non Small Cell Lung Cancer. PLoS ONE 4(1): e4158. doi:10.1371/journal

  10. Types of Reuse

    Broader source: Energy.gov [DOE]

    The following provides greater detail regarding the types of reuse pursued for LM sites. It should be noted that many actual reuses combine several types of the uses listed below.

  11. Sampling Report for August 15, 2014 WIPP Samples

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin ofEnergy atLLC - FE DKT. 10-160-LNG - ORDERSTATE0-1ofEnergy SampleSample of

  12. On average sampling restoration of Piranashvilitype harmonizable processes

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ; time shifted sam- pling; Piranashvili­, Lo`eve­, Karhunen­ harmonizable stochastic process; weakly.olenko@latrobe.edu.au, poganj@pfri.hr Abstract: The harmonizable Piranashvili ­ type stochastic pro- cesses are approximated stationary stochastic process; local averages; average sampling reconstruction. 1. Introduction

  13. An improved wetted-wall bioaerosol sampling cyclone

    E-Print Network [OSTI]

    Phull, Manpreet Singh

    2006-10-30T23:59:59.000Z

    of the cyclone inlet. The new cyclone has a high aerosol sampling flow rate (1250 L/min) and maintains constant cut-point with the modified White-type cyclone along with greater collection efficiency, lower time response, and reduced pressure drop. The final air...

  14. Yucca Mountain Project Integrated Data System (IDS); Final report, October 1, 1989--December 31, 1990

    SciTech Connect (OSTI)

    NONE

    1991-05-23T23:59:59.000Z

    This final report for LANL Subcontract 9-XS8-2604-1 includes copies of all formal letters, memorandums, and reports provided by CAG to support the IDS effort in the LANL Test Managers Office, Las Vegas, Nevada from October 1, 1989 through the end of the contract on December 31, 1990. The material is divided into two sections; the Functional Requirements Document (FRD) and other reports, letters, and memorandums. All documents are arranged in chronological order with most recent last. Numerous draft copies of the FRD were prepared and cover sheets for all drafts are included. The complete text of only the last version supplied (July 27, 1990) is included in this document.

  15. North Portal Fuel Storage System Fire Hazard Analysis-ESF Surface Design Package ID

    SciTech Connect (OSTI)

    N.M. Ruonavaara

    1995-01-18T23:59:59.000Z

    The purpose of the fire hazard analysis is to comprehensively assess the risk from fire within the individual fire areas. This document will only assess the fire hazard analysis within the Exploratory Studies Facility (ESF) Design Package ID, which includes the fuel storage system area of the North Portal facility, and evaluate whether the following objectives are met: 1.1.1--This analysis, performed in accordance with the requirements of this document, will satisfy the requirements for a fire hazard analysis in accordance with U.S. Department of Energy (DOE) Order 5480.7A. 1.1.2--Ensure that property damage from fire and related perils does not exceed an acceptable level. 1.1.3--Provide input to the ESF Basis For Design (BFD) Document. 1.1.4 Provide input to the facility Safety Analysis Report (SAR) (Paragraph 3.8).

  16. Sample rotating turntable kit for infrared spectrometers

    DOE Patents [OSTI]

    Eckels, Joel Del (Livermore, CA); Klunder, Gregory L. (Oakland, CA)

    2008-03-04T23:59:59.000Z

    An infrared spectrometer sample rotating turntable kit has a rotatable sample cup containing the sample. The infrared spectrometer has an infrared spectrometer probe for analyzing the sample and the rotatable sample cup is adapted to receive the infrared spectrometer probe. A reflectance standard is located in the rotatable sample cup. A sleeve is positioned proximate the sample cup and adapted to receive the probe. A rotator rotates the rotatable sample cup. A battery is connected to the rotator.

  17. A 12-MW-scale pilot study of in-duct scrubbing (IDS) using a rotary atomizer

    SciTech Connect (OSTI)

    Samuel, E.A.; Murphy, K.R.; Demian, A.

    1989-11-01T23:59:59.000Z

    A low-cost, moderate-removal efficiency, flue gas desulfurization (FGD) technology was selected by the US Department of Energy for pilot demonstration in its Acid Rain Precursor Control Technology Initiative. The process, identified as In-Duct Scrubbing (IDS), applies rotary atomizer techniques developed for lime-based spray dryer FGD while utilizing existing flue gas ductwork and particulate collectors. IDS technology is anticipated to result in a dry desulfurization process with a moderate removal efficiency (50% or greater) for high-sulfur coal-fired boilers. The critical elements for successful application are: (1) adequate mixing of sorbent droplets with flue gas for efficient reaction contact, (2) sufficient residence time to produce a non-wetting product, and (3) appropriate ductwork cross-sectional area to prevent deposition of wet reaction products before particle drying is comple. The ductwork in many older plants, previously modified to meet 1970 Clean Air Act requirements for particulate control, usually meet these criteria. A 12 MW-scale IDS pilot plant was constructed at the Muskingum River Plant of the American Electric Power System. The pilot plant, which operates from a slipstrem attached to the air-preheater outlet duct from the Unit 5 boiler at the Muskingum River Plant (which burns about 4% sulfur coal), is equipped with three atomizer stations to test the IDS concept in vertical and horizontal configurations. In addition, the pilot plant is equipped to test the effect of injecting IDS off- product upstream of the atomizer, on SO{sub 2}and NO{sub x} removals.

  18. Inertial impaction air sampling device

    DOE Patents [OSTI]

    Dewhurst, K.H.

    1987-12-10T23:59:59.000Z

    An inertial impactor to be used in an air sampling device for collection of respirable size particles in ambient air which may include a graphite furnace as the impaction substrate in a small-size, portable, direct analysis structure that gives immediate results and is totally self-contained allowing for remote and/or personal sampling. The graphite furnace collects suspended particles transported through the housing by means of the air flow system, and these particles may be analyzed for elements, quantitatively and qualitatively, by atomic absorption spectrophotometry. 3 figs.

  19. Inertial impaction air sampling device

    DOE Patents [OSTI]

    Dewhurst, K.H.

    1990-05-22T23:59:59.000Z

    An inertial impactor is designed which is to be used in an air sampling device for collection of respirable size particles in ambient air. The device may include a graphite furnace as the impaction substrate in a small-size, portable, direct analysis structure that gives immediate results and is totally self-contained allowing for remote and/or personal sampling. The graphite furnace collects suspended particles transported through the housing by means of the air flow system, and these particles may be analyzed for elements, quantitatively and qualitatively, by atomic absorption spectrophotometry. 3 figs.

  20. Spent nuclear fuel sampling strategy

    SciTech Connect (OSTI)

    Bergmann, D.W.

    1995-02-08T23:59:59.000Z

    This report proposes a strategy for sampling the spent nuclear fuel (SNF) stored in the 105-K Basins (105-K East and 105-K West). This strategy will support decisions concerning the path forward SNF disposition efforts in the following areas: (1) SNF isolation activities such as repackaging/overpacking to a newly constructed staging facility; (2) conditioning processes for fuel stabilization; and (3) interim storage options. This strategy was developed without following the Data Quality Objective (DQO) methodology. It is, however, intended to augment the SNF project DQOS. The SNF sampling is derived by evaluating the current storage condition of the SNF and the factors that effected SNF corrosion/degradation.

  1. Nevada National Security Site Integrated Groundwater Sampling Plan, Revision 0

    SciTech Connect (OSTI)

    Marutzky, Sam; Farnham, Irene

    2014-10-01T23:59:59.000Z

    The purpose of the Nevada National Security Site (NNSS) Integrated Sampling Plan (referred to herein as the Plan) is to provide a comprehensive, integrated approach for collecting and analyzing groundwater samples to meet the needs and objectives of the U.S. Department of Energy (DOE), National Nuclear Security Administration Nevada Field Office (NNSA/NFO) Underground Test Area (UGTA) Activity. Implementation of this Plan will provide high-quality data required by the UGTA Activity for ensuring public protection in an efficient and cost-effective manner. The Plan is designed to ensure compliance with the UGTA Quality Assurance Plan (QAP). The Plan’s scope comprises sample collection and analysis requirements relevant to assessing the extent of groundwater contamination from underground nuclear testing. This Plan identifies locations to be sampled by corrective action unit (CAU) and location type, sampling frequencies, sample collection methodologies, and the constituents to be analyzed. In addition, the Plan defines data collection criteria such as well-purging requirements, detection levels, and accuracy requirements; identifies reporting and data management requirements; and provides a process to ensure coordination between NNSS groundwater sampling programs for sampling of interest to UGTA. This Plan does not address compliance with requirements for wells that supply the NNSS public water system or wells involved in a permitted activity.

  2. CHARACTERIZATION OF SAMPLES FROM TANK 16H ANNULUS

    SciTech Connect (OSTI)

    Hay, M

    2008-05-22T23:59:59.000Z

    In support of the closure of Tank 16H, the remaining waste material in the tank annulus must be removed. Samples of the waste material from Tank 16H annulus were obtained and sent to Savannah River National Laboratory (SRNL) to determine the chemical and radiochemical composition prior to further waste removal. The three samples obtained from the Tank 16H annulus show some similarity as to the types of mineral phases present in the materials but differ in the relative amounts of each phase present. The samples from outside the dehumidification duct at two locations in the annulus show very different compositions and estimated solubility in water. This indicates the waste material in Tank 16H annulus may have a wide range of compositions at different locations. The table below provides a simplified description of the composition of each sample. The limited characterization techniques conducted and the complex mixture of materials in each sample makes assigning a definitive composition for each sample difficult. Given the variability in composition with just the three small samples characterized, a more detailed description of any single sample may be of limited value.

  3. Methods and Materials Sample Collection

    E-Print Network [OSTI]

    by Greenwood (1958). A 1.5-inch (3.8 em) mesh liner was laced into the cod end to retain small specimens which reported that Alaska pollock \\yas the principal species taken by these Japanese fisheries. However from flatfish samples collected in 1949 were reported by Mosher (1954); the Soviet collections of 1957

  4. Sample Internship Posting Department Name

    E-Print Network [OSTI]

    Bordenstein, Seth

    Sample Internship Posting Department Name: Internship Title: Location: Description of Organization are examples from other internship postings Interns will: · Analyze potential investments · Shadow team members(s) in ________ is desirable For a list of majors see http://admissions.vanderbilt.edu/major Internship Period: The following

  5. Waste tank characterization sampling limits

    SciTech Connect (OSTI)

    Tusler, L.A.

    1994-09-02T23:59:59.000Z

    This document is a result of the Plant Implementation Team Investigation into delayed reporting of the exotherm in Tank 241-T-111 waste samples. The corrective actions identified are to have immediate notification of appropriate Tank Farm Operations Shift Management if analyses with potential safety impact exceed established levels. A procedure, WHC-IP-0842 Section 12.18, ``TWRS Approved Sampling and Data Analysis by Designated Laboratories`` (WHC 1994), has been established to require all tank waste sampling (including core, auger and supernate) and tank vapor samples be performed using this document. This document establishes levels for specified analysis that require notification of the appropriate shift manager. The following categories provide numerical values for analysis that may indicate that a tank is either outside the operating specification or should be evaluated for inclusion on a Watch List. The information given is intended to translate an operating limit such as heat load, expressed in Btu/hour, to an analysis related limit, in this case cesium-137 and strontium-90 concentrations. By using the values provided as safety flags, the analytical laboratory personnel can notify a shift manager that a tank is in potential violation of an operating limit or that a tank should be considered for inclusion on a Watch List. The shift manager can then take appropriate interim measures until a final determination is made by engineering personnel.

  6. Licensing Guide and Sample License

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    TEI:HNOL06Y TRANSFER WORKIN6 6ROUP Lic:eniing Guide and Sample Lic:enie ICan.u City Plan I OFermilab OAK RIDGE Nuioul.

  7. Environmental Analysis & Policy: Sample Pathway

    E-Print Network [OSTI]

    Goldberg, Bennett

    Environmental Analysis & Policy: Sample Pathway Semester I Semester II Freshman Year CGS Core CGS Sustainable Development OR Spring GE 425 U.S. Environmental Policy (Senior) GE 309 Intermediate Env Analysis (Fall) EAP Elective Summer Environmental Internship Senior Year GE 420 Env Policy Analysis 4 th Semester

  8. Quantum rejection sampling Maris Ozols

    E-Print Network [OSTI]

    Cerf, Nicolas

    generation prob- lem. We exhibit an algorithm, which we call quantum rejec- tion sampling, and analyze its technical innovation is an extension of the automorphism principle to continuous groups that arise or to redistribute to lists, requires prior specific permission and/or a fee. ITCS '12, January 08 - 10, 2012

  9. AUTOMATING GROUNDWATER SAMPLING AT HANFORD

    SciTech Connect (OSTI)

    CONNELL CW; HILDEBRAND RD; CONLEY SF; CUNNINGHAM DE

    2009-01-16T23:59:59.000Z

    Until this past October, Fluor Hanford managed Hanford's integrated groundwater program for the U.S. Department of Energy (DOE). With the new contract awards at the Site, however, the CH2M HILL Plateau Remediation Company (CHPRC) has assumed responsibility for the groundwater-monitoring programs at the 586-square-mile reservation in southeastern Washington State. These programs are regulated by the Resource Conservation and Recovery Act (RCRA) and the Comprehensive Environmental Response Compensation and Liability Act (CERCLA). The purpose of monitoring is to track existing groundwater contamination from past practices, as well as other potential contamination that might originate from RCRA treatment, storage, and disposal (TSD) facilities. An integral part of the groundwater-monitoring program involves taking samples of the groundwater and measuring the water levels in wells scattered across the site. More than 1,200 wells are sampled each year. Historically, field personnel or 'samplers' have been issued pre-printed forms that have information about the well(s) for a particular sampling evolution. This information is taken from the Hanford Well Information System (HWIS) and the Hanford Environmental Information System (HEIS)--official electronic databases. The samplers used these hardcopy forms to document the groundwater samples and well water-levels. After recording the entries in the field, the samplers turned the forms in at the end of the day and the collected information was posted onto a spreadsheet that was then printed and included in a log book. The log book was then used to make manual entries of the new information into the software application(s) for the HEIS and HWIS databases. This is a pilot project for automating this tedious process by providing an electronic tool for automating water-level measurements and groundwater field-sampling activities. The automation will eliminate the manual forms and associated data entry, improve the accuracy of the information recorded, and enhance the efficiency and sampling capacity of field personnel. The goal of the effort is to eliminate 100 percent of the manual input to the database(s) and replace the management of paperwork by the field and clerical personnel with an almost entirely electronic process. These activities will include the following: scheduling the activities of the field teams, electronically recording water-level measurements, electronically logging and filing Groundwater Sampling Reports (GSR), and transferring field forms into the site-wide Integrated Document Management System (IDMS).

  10. A perspective on the status of coal research from shipments of samples

    SciTech Connect (OSTI)

    Vorres, K.S. [Argonne National Lab., IL (United States); Kruse, C.W. [Illinois State Geological Survey, Champaign, IL (United States); Nater, K.A. [deGrote Vos, Zeeweg 37, 1753 BB St. Martenzee, NL (Netherlands); Glick, D.C.; Davis, A. [Pennsylvania State Univ., University Park, PA (United States). Coal and Organic Petrology Labs.

    1993-12-31T23:59:59.000Z

    Research on all aspects of coal research, at least for more small scale work, involves the use of samples at the beginning of experimental work. Most research workers for smaller scale work do not collect their own coal samples, but rather order them from a group of sample suppliers. The number of suppliers meeting the major needs in the US, as well as for the world, is not very large. An examination of the shipments of samples from each of these suppliers will give an interesting insight into the general trends in volume of work in the field. The suppliers involved in this study include the Argonne Premium Coal Sample Program, the Illinois Basin Coal Sample Program, the SBN and the several groups of samples from the Pennsylvania State University Coal Sample Bank. Each of these supplies a different number of samples in varying quantities. The quantities and variety of samples is important to the individual worker in selecting a supplier. The type of work to be done frequently affects the quantities and choice of sample, which in turn affects the choice of supplier. In general these data indicate that researchers realize the advantages of acquiring samples from centralized sample banks. These advantages include a lower cost than would be incurred from individual sampling and preparation; availability of analyzed samples; preservation of samples and the possibility of comparing results with others who have worked on the same samples.

  11. Water Sampling (Healy, 1970) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri GlobalJump to: navigation, search ContentsWater Power ForumGround

  12. Soil Gas Sampling | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |RippeyInformationSoda Springs, Idaho: Energy

  13. Surface Gas Sampling | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f <Maintained By FaultSunpods Inc Jump to:SuperiorEnergy

  14. Surface Water Sampling | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f <Maintained By FaultSunpods Inc Jump to:SuperiorEnergyIncluding

  15. Sampling Theorem and Discrete Fourier Transform on the Riemann Sphere

    E-Print Network [OSTI]

    Manuel Calixto; Julio Guerrero; Juan Carlos Sánchez-Monreal

    2011-09-09T23:59:59.000Z

    Using coherent-state techniques, we prove a sampling theorem for Majorana's (holomorphic) functions on the Riemann sphere and we provide an exact reconstruction formula as a convolution product of $N$ samples and a given reconstruction kernel (a sinc-type function). We also discuss the effect of over- and under-sampling. Sample points are roots of unity, a fact which allows explicit inversion formulas for resolution and overlapping kernel operators through the theory of Circulant Matrices and Rectangular Fourier Matrices. The case of band-limited functions on the Riemann sphere, with spins up to $J$, is also considered. The connection with the standard Euler angle picture, in terms of spherical harmonics, is established through a discrete Bargmann transform.

  16. Anthrax Sampling and Decontamination: Technology Trade-Offs

    SciTech Connect (OSTI)

    Price, Phillip N.; Hamachi, Kristina; McWilliams, Jennifer; Sohn, Michael D.

    2008-09-12T23:59:59.000Z

    The goal of this project was to answer the following questions concerning response to a future anthrax release (or suspected release) in a building: 1. Based on past experience, what rules of thumb can be determined concerning: (a) the amount of sampling that may be needed to determine the extent of contamination within a given building; (b) what portions of a building should be sampled; (c) the cost per square foot to decontaminate a given type of building using a given method; (d) the time required to prepare for, and perform, decontamination; (e) the effectiveness of a given decontamination method in a given type of building? 2. Based on past experience, what resources will be spent on evaluating the extent of contamination, performing decontamination, and assessing the effectiveness of the decontamination in abuilding of a given type and size? 3. What are the trade-offs between cost, time, and effectiveness for the various sampling plans, sampling methods, and decontamination methods that have been used in the past?

  17. Environmental surveillance master sampling schedule

    SciTech Connect (OSTI)

    Bisping, L E

    1992-01-01T23:59:59.000Z

    Environmental surveillance of the Hanford Site and surrounding areas is conducted by the Pacific Northwest Laboratory (PNL) for the US Department of Energy (DOE). This document contains the planned schedule for routine sample collection for the Surface Environmental Surveillance Project (SESP) and Ground-Water Monitoring Project. Samples for radiological analyses include Air-Particulate Filter, gases and vapor; Water/Columbia River, Onsite Pond, Spring, Irrigation, and Drinking; Foodstuffs/Animal Products including Whole Milk, Poultry and Eggs, and Beef; Foodstuffs/Produce including Leafy Vegetables, Vegetables, and Fruit; Foodstuffs/Farm Products including Wine, Wheat and Alfalfa; Wildlife; Soil; Vegetation; and Sediment. Direct Radiation Measurements include Terrestrial Locations, Columbia River Shoreline Locations, and Onsite Roadway, Railway and Aerial, Radiation Surveys.

  18. Adaptive Sampling in Hierarchical Simulation

    SciTech Connect (OSTI)

    Knap, J; Barton, N R; Hornung, R D; Arsenlis, A; Becker, R; Jefferson, D R

    2007-07-09T23:59:59.000Z

    We propose an adaptive sampling methodology for hierarchical multi-scale simulation. The method utilizes a moving kriging interpolation to significantly reduce the number of evaluations of finer-scale response functions to provide essential constitutive information to a coarser-scale simulation model. The underlying interpolation scheme is unstructured and adaptive to handle the transient nature of a simulation. To handle the dynamic construction and searching of a potentially large set of finer-scale response data, we employ a dynamic metric tree database. We study the performance of our adaptive sampling methodology for a two-level multi-scale model involving a coarse-scale finite element simulation and a finer-scale crystal plasticity based constitutive law.

  19. Offline solid phase microextraction sampling system

    DOE Patents [OSTI]

    Harvey, Chris A. (French Camp, CA)

    2008-12-16T23:59:59.000Z

    An offline solid phase microextraction (SPME) sampling apparatus for enabling SPME samples to be taken a number of times from a previously collected fluid sample (e.g. sample atmosphere) stored in a fused silica lined bottle which keeps volatile organics in the fluid sample stable for weeks at a time. The offline SPME sampling apparatus has a hollow body surrounding a sampling chamber, with multiple ports through which a portion of a previously collected fluid sample may be (a) released into the sampling chamber, (b) SPME sampled to collect analytes for subsequent GC analysis, and (c) flushed/purged using a fluidically connected vacuum source and purging fluid source to prepare the sampling chamber for additional SPME samplings of the same original fluid sample, such as may have been collected in situ from a headspace.

  20. Atmospheric deposition: sample handling, storage, and analytical procedures for chemical characterization of event-based samples in North Dakota

    SciTech Connect (OSTI)

    Houghton, R.L.; Berger, M.; Zander, N.; Dutchek, S.K.

    1983-01-01T23:59:59.000Z

    The North Dakota atmospheric-deposition network uses HASL-type collectors to sample wet and dry deposition on an event basis for analysis of 8 principal mineral, 3 nutrient, and 15 trace constituents. Comparison of the compositions of wet deposition collected in adjacent collectors sampled on weekly and event bases indicates that nonevent sampling leads to significant contamination of wet-deposition samples with dry deposition. Elevation of the collectors 10 feet above ground surface may decrease wind-blown soil contamination significantly. This manual presents a summary of the research procedures adopted by the North Dakota District of the US Geological Survey to investigate the consequences of increased fossil-fuel combustion on the quality of atmospheric deposition. The manual has been tested by field operatives for 3 years and shown to be an effective field guide and management tool. 44 references, 3 figures, 13 tables.

  1. T-582: RSA systems has resulted in certain information being extracted from RSA systems that relates to RSA SecurID

    Broader source: Energy.gov [DOE]

    RSA investigation has revealed that the attack resulted in certain information being extracted from RSA's systems. Some of that information is related to RSA's SecurID two-factor authentication products.

  2. Enter Search Term Enter Drill Deeper or ED Online ID Home Subscribe Back Issues Design FAQs Ideas for Design Power Analog

    E-Print Network [OSTI]

    Rogers, John A.

    Enter Search Term Enter Drill Deeper or ED Online ID Home Subscribe Back Issues Design FAQs Ideas Subscribe to Electronic Design UPDATE (Archive) Email: Enter Email Click to view this week's welcome screen

  3. Typed Self-Optimization

    E-Print Network [OSTI]

    Brown, Matt

    2013-01-01T23:59:59.000Z

    type T y[O]. The operator IsIs is self-applicative, in thatargument t is any of Is[O] or IsIs, and otherwise behavesproof constant introduced by IsIs proves that the type of t

  4. Peak T in Edge-Cooled Beryllium Window at z = 3 m in Magnet IDS120h Bob Weggel, M.O.R.E., LLC

    E-Print Network [OSTI]

    McDonald, Kirk

    Peak T in Edge-Cooled Beryllium Window at z = 3 m in Magnet IDS120h Bob Weggel, M.O.R.E., LLC:16 PM) to incorporate Nick's latest predictions of the power density in a beryllium window at z = 3 m, +0.7) of 103 W/g--190 W/cm3 for beryllium (1.85 g/cm3 ). [Note: File "IDS120hm_BeWind_TDP_NO_SH1_NP

  5. 1 Managed by UT-Battelle for the U.S. Department of Energy NF/IDS Hg Vessel Layout 30 Jun 09

    E-Print Network [OSTI]

    McDonald, Kirk

    1 Managed by UT-Battelle for the U.S. Department of Energy NF/IDS Hg Vessel Layout 30 Jun 09 Cryostat 2 Front Drain Mercury Vessel Concept Matthew F. Glisson Van Graves #12;2 Managed by UT-Battelle;3 Managed by UT-Battelle for the U.S. Department of Energy NF/IDS Hg Vessel Layout 30 Jun 09 Cross Section

  6. Microsoft Word - JWS Sample.doc

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    7 SAMPLE ONLY REV2021005 SAMPLE ONLY Joint Work Statement For CRADA No. Sample BETWEEN U. S. Department of Energy Naval Petroleum Reserve No. 3 Rocky Mountain Oilfield Testing...

  7. Your Guide to Diabetes: Type 1 and Type 2

    E-Print Network [OSTI]

    Rau, Don C.

    Your Guide to Diabetes: Type 1 and Type 2 National Diabetes Information Clearinghouse #12;#12;Your Guide to Diabetes: Type 1 and Type 2 #12;#12;Contents Learn about Diabetes ............................................................ 1 What is diabetes? .............................................................. 2 What

  8. Synchronized sampling improves fault location

    SciTech Connect (OSTI)

    Kezunovic, M. [Texas A and M Univ., College Station, TX (United States)] [Texas A and M Univ., College Station, TX (United States); Perunicic, B. [Lamar Univ., Beaumont, TX (United States)] [Lamar Univ., Beaumont, TX (United States)

    1995-04-01T23:59:59.000Z

    Transmission line faults must be located accurately to allow maintenance crews to arrive at the scene and repair the faulted section as soon as possible. Rugged terrain and geographical layout cause some sections of power transmission lines to be difficult to reach. In the past, a variety of fault location algorithms were introduced as either an add-on feature in protective relays or stand-alone implementation in fault locators. In both cases, the measurements of current and voltages were taken at one terminal of a transmission line only. Under such conditions, it may become difficult to determine the fault location accurately, since data from other transmission line ends are required for more precise computations. In the absence of data from the other end, existing algorithms have accuracy problems under several circumstances, such as varying switching and loading conditions, fault infeed from the other end, and random value of fault resistance. Most of the one-end algorithms were based on estimation of voltage and current phasors. The need to estimate phasors introduces additional difficulty in high-speed tripping situations where the algorithms may not be fast enough in determining fault location accurately before the current signals disappear due to the relay operation and breaker opening. This article introduces a unique concept of high-speed fault location that can be implemented either as a simple add-on to the digital fault recorders (DFRs) or as a stand-alone new relaying function. This advanced concept is based on the use of voltage and current samples that are synchronously taken at both ends of a transmission line. This sampling technique can be made readily available in some new DFR designs incorporating receivers for accurate sampling clock synchronization using the satellite Global Positioning System (GPS).

  9. Tank farm backlog soil sample analysis plan

    SciTech Connect (OSTI)

    Ahlers, J.D., Westinghouse Hanford

    1996-07-17T23:59:59.000Z

    This document describes the measures to collect samples, perform testing on samples, and make decisions to obtain a Contained- in Determination for tank farms backlog soil.

  10. Radioactive Samples / Materials at the APS

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Using Radioactive Samples Materials at the APS The use of radioactive samples requires additional information for review and approval. All proposed experiments involving...

  11. LANSCE | Lujan Center | Chemical & Sample Prep

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Chemical & Sample Preparation For general questions, please contact the Lujan Center Chemical and Sample Preparation Laboratory responsible: Charles Kelsey | ckelsey@lanl.gov |...

  12. Gas Sampling | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489InformationFrenchtown, NewG22 JumpGas Sampling Jump to:

  13. Sample Licensing Agreements | Partnerships | ORNL

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection245C Unlimited ReleaseWelcome ton6 th US/German Workshop onSample

  14. Sample Retention Incentive Service Agreement

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin ofEnergy atLLC - FE DKT. 10-160-LNG - ORDERSTATE0-1ofEnergy Sample Employee:

  15. Groundwater Sampling | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetec AG| Open Energy Information 2000)2004) |1978) |Groundwater Sampling

  16. Apparatus for sectioning demountable semiconductor samples

    DOE Patents [OSTI]

    Sopori, Bhushan L. (Scottsdale, AZ); Wolf, Abraham (Sun City West, AZ)

    1984-01-01T23:59:59.000Z

    Apparatus for use during polishing and sectioning operations of a ribbon sample is described. The sample holder includes a cylinder having an axially extending sample cavity terminated in a first funnel-shaped opening and a second slot-like opening. A spring-loaded pressure plunger is located adjacent the second opening of the sample cavity for frictional engagement of the sample prior to introduction of a molding medium in the sample cavity. A heat softenable molding medium is inserted in the funnel-shaped opening, to surround the sample. After polishing, the heater is energized to allow draining of the molding medium from the sample cavity. During manual polishing, the second end of the sample holder is inserted in a support ring which provides mechanical support as well as alignment of the sample holder during polishing. A gauge block for measuring the protrusion of a sample beyond the second wall of the holder is also disclosed.

  17. Fejer-type inequalities

    E-Print Network [OSTI]

    Mitroi, F C

    2011-01-01T23:59:59.000Z

    The aim of this paper is to present some new Fejer-type results for convex functions. Improvements of Young's inequality (the arithmetic-geometric mean inequality) and other applications to special means are pointed as well.

  18. Document Type: Subject Terms

    E-Print Network [OSTI]

    Major, Arkady

    Title: Authors: Source: Document Type: Subject Terms: Abstract: Full Text Word Count: ISSN at creating team results. In fact, it's priceless. Managers in Western corporations have received a lifetime

  19. ANALYSIS OF THE TANK 5F FINAL CHARACTERIZATION SAMPLES-2011

    SciTech Connect (OSTI)

    Oji, L.; Diprete, D.; Coleman, C.; Hay, M.

    2012-08-03T23:59:59.000Z

    The Savannah River National Laboratory (SRNL) was requested by SRR to provide sample preparation and analysis of the Tank 5F final characterization samples to determine the residual tank inventory prior to grouting. Two types of samples were collected and delivered to SRNL: floor samples across the tank and subsurface samples from mounds near risers 1 and 5 of Tank 5F. These samples were taken from Tank 5F between January and March 2011. These samples from individual locations in the tank (nine floor samples and six mound Tank 5F samples) were each homogenized and combined in a given proportion into 3 distinct composite samples to mimic the average composition in the entire tank. These Tank 5F composite samples were analyzed for radiological, chemical and elemental components. Additional measurements performed on the Tank 5F composite samples include bulk density and water leaching of the solids to account for water soluble species. With analyses for certain challenging radionuclides as the exception, all composite Tank 5F samples were analyzed and reported in triplicate. The target detection limits for isotopes analyzed were based on customer desired detection limits as specified in the technical task request documents. SRNL developed new methodologies to meet these target detection limits and provide data for the extensive suite of components. While many of the target detection limits were met for the species characterized for Tank 5F, as specified in the technical task request, some were not met. In a few cases, the relatively high levels of radioactive species of the same element or a chemically similar element precluded the ability to measure some isotopes to low levels. The Technical Task Request allows that while the analyses of these isotopes is needed, meeting the detection limits for these isotopes is a lower priority than meeting detection limits for the other specified isotopes. The isotopes whose detection limits were not met in all cases included the following: Al-26, Sn-126, Sb-126, Sb-126m, Eu-152 and Cf-249. SRNL, in conjunction with the plant customer, reviewed all these cases and determined that the impacts were negligible.

  20. Analysis Of The Tank 5F Final Characterization Samples-2011

    SciTech Connect (OSTI)

    Oji, L. N.; Diprete, D.; Coleman, C. J.; Hay, M. S.

    2012-09-27T23:59:59.000Z

    The Savannah River National Laboratory (SRNL) was requested by SRR to provide sample preparation and analysis of the Tank 5F final characterization samples to determine the residual tank inventory prior to grouting. Two types of samples were collected and delivered to SRNL: floor samples across the tank and subsurface samples from mounds near risers 1 and 5 of Tank 5F. These samples were taken from Tank 5F between January and March 2011. These samples from individual locations in the tank (nine floor samples and six mound Tank 5F samples) were each homogenized and combined in a given proportion into 3 distinct composite samples to mimic the average composition in the entire tank. These Tank 5F composite samples were analyzed for radiological, chemical and elemental components. Additional measurements performed on the Tank 5F composite samples include bulk density and water leaching of the solids to account for water soluble species. With analyses for certain challenging radionuclides as the exception, all composite Tank 5F samples were analyzed and reported in triplicate. The target detection limits for isotopes analyzed were based on customer desired detection limits as specified in the technical task request documents. SRNL developed new methodologies to meet these target detection limits and provide data for the extensive suite of components. While many of the target detection limits were met for the species characterized for Tank 5F, as specified in the technical task request, some were not met. In a few cases, the relatively high levels of radioactive species of the same element or a chemically similar element precluded the ability to measure some isotopes to low levels. The Technical Task Request allows that while the analyses of these isotopes is needed, meeting the detection limits for these isotopes is a lower priority than meeting detection limits for the other specified isotopes. The isotopes whose detection limits were not met in all cases included the following: Al-26, Sn-126, Sb-126, Sb-126m, Eu-152 and Cf-249. SRNL, in conjunction with the plant customer, reviewed all these cases and determined that the impacts were negligible.

  1. 2.1E Sample Run Book

    E-Print Network [OSTI]

    Winkelmann, F.C.

    2010-01-01T23:59:59.000Z

    67.F SYST_4-TYPE VAVS COOLING PEAK SUPPLY AIR PEAK FLOW OA69,F SYST_-TYPE VAVS COOLING PEAK SUPPLY AIR PEAK FLOW OA67.F SYST_4-TYPE VAVS COOLING PEAK SUPPLY AIR PEAK FLOW OA

  2. Accelerating conformational sampling in free energy calculations

    E-Print Network [OSTI]

    Fajer, Mikolai

    2011-01-01T23:59:59.000Z

    to the free energy profile of the wild type peptide inrotation. In the wild type, the free energy barrier for thethe free energy transition path en- semble of the wild type

  3. INCOHERENCE AND THE PARAMETRIC TEST FRAMEWORK: MISCONCEIVED RELATIONSHIPS AMONG SAMPLE, SAMPLING DISTRIBUTION, AND POPULATION

    E-Print Network [OSTI]

    Yu, Alex

    INCOHERENCE AND THE PARAMETRIC TEST FRAMEWORK: MISCONCEIVED RELATIONSHIPS AMONG SAMPLE, SAMPLING Keywords: Parametric test, sample, population, sampling distributions Parametric tests are frequently parametric tests, nor hold beliefs that are consistent with that framework. The parametric test framework

  4. Safety analysis report for packaging (onsite) sample pig transport system

    SciTech Connect (OSTI)

    MCCOY, J.C.

    1999-03-16T23:59:59.000Z

    This Safety Analysis Report for Packaging (SARP) provides a technical evaluation of the Sample Pig Transport System as compared to the requirements of the U.S. Department of Energy, Richland Operations Office (RL) Order 5480.1, Change 1, Chapter III. The evaluation concludes that the package is acceptable for the onsite transport of Type B, fissile excepted radioactive materials when used in accordance with this document.

  5. Hanford Site Environmental Surveillance Master Sampling Schedule for Calendar Year 2006

    SciTech Connect (OSTI)

    Bisping, Lynn E.

    2006-01-27T23:59:59.000Z

    This document contains the calendar year 2006 schedules for the routine and non-routine collection of samples for the Surface Environmental Surveillance Project (SESP) and Drinking Water Monitoring Project. Each section includes sampling locations, sample types, and analyses to be performed. In some cases, samples are scheduled on a rotating basis and may not be collected in 2006 in which case the anticipated year for collection is provided. The project document package (PDP) for Surface Environmental Surveillance contains the milestone control log for the issuing of CY06 Environmental Surveillance Master Sampling Schedule WBS 4.2.3.21.3.03, milestone: RL00430306 (4830106-12).

  6. Data Report on Post-Irradiation Dimensional Change of AGC-1 Samples

    SciTech Connect (OSTI)

    William Windes

    2012-06-01T23:59:59.000Z

    This report summarizes the initial dimensional changes for loaded and unloaded AGC-1 samples. The dimensional change for all samples is presented as a function of dose. The data is further presented by graphite type and applied load levels to illustrate the differences between graphite forming processes and stress levels within the graphite components. While the three different loads placed on the samples have been verified [ ref: Larry Hull’s report] verification of the AGC-1 sample temperatures and dose levels are expected in the summer of 2012. Only estimated dose and temperature values for the samples are presented in this report to allow a partial analysis of the results.

  7. Beryllium Wipe Sampling (differing methods - differing exposure potentials)

    SciTech Connect (OSTI)

    Kerr, Kent

    2005-03-09T23:59:59.000Z

    This research compared three wipe sampling techniques currently used to test for beryllium contamination on room and equipment surfaces in Department of Energy facilities. Efficiencies of removal of beryllium contamination from typical painted surfaces were tested by wipe sampling without a wetting agent, with water-moistened wipe materials, and by methanol-moistened wipes. Analysis indicated that methanol-moistened wipe sampling removed about twice as much beryllium/oil-film surface contamination as water-moistened wipes, which removed about twice as much residue as dry wipes. Criteria at 10 CFR 850.30 and .31 were established on unspecified wipe sampling method(s). The results of this study reveal a need to identify criteria-setting method and equivalency factors. As facilities change wipe sampling methods among the three compared in this study, these results may be useful for approximate correlations. Accurate decontamination decision-making depends on the selection of appropriate wetting agents for the types of residues and surfaces. Evidence for beryllium sensitization via skin exposure argues in favor of wipe sampling with wetting agents that provide enhanced removal efficiency such as methanol when surface contamination includes oil mist residue.

  8. "Dedicated to Maximizing Planetary Sample Science

    E-Print Network [OSTI]

    Rathbun, Julie A.

    that evaluated sample mass with regards to previous Apollo Program surface activity, scientific productivity and environmentally sensitive samples. (2) This geological sample mass exceeds that of the Apollo 17 mission by only that of the Apollo Program to demonstrate we have progressed beyond Apollo. (3) Using the Apollo sample containers

  9. Reliable fieldable VOC analysis with an automated microprocessor controlled two stage sample processor

    SciTech Connect (OSTI)

    Overton, E.B.; Stewart, M.; Carney, K.R.; D`Harmasena, H. [Louisiana State Univ., Baton Rouge, LA (United States). Inst. for Environmental Studies

    1995-12-31T23:59:59.000Z

    High quality field analysis of VOCs from a variety of sample types has many environmental applications. In order to achieve desired data quality from field analysis, the entire analytical sequence, from collection of samples through instrumental analysis and data interpretation, must be controlled and have documented precision. To this end, the authors have developed a Sample Processing Device for use with fieldable VOC analyses. The unit is microprocessor controlled, small, rugged, and uses less than 25 watts of power at 12 VDC. It is ideally suited for use with microchip GC analyzers but will work with a variety of other field analytical devices. In addition to processing a variety of sample types, the unit allows control of water interference in the analytical sequence. Since the functions of the sample processing device are microprocessor controlled, the sample analysis procedures have the precision and reliability of automated, methods driven analytical techniques.

  10. Sample introduction apparatus for a flow cytometer

    DOE Patents [OSTI]

    Van den Engh, Ger (Seattle, WA)

    1998-01-01T23:59:59.000Z

    A sample introduction system for a flow cytometer allows easy change of sample containers such as test tubes and facilitates use in high pressure environments. The sample container includes a cap having a pressure supply chamber and a sample container attachment cavity. A sample container may be automatically positioned into the attachment cavity so as to sealably engage the end of the sample container as its outer surface. This positioning may be accomplished through some sample introduction mechanism. To facilitate cleaning HPLC tubing and fittings may be used in a manner which facilitates removable of the entire tubing from both the nozzle container and other sample container cap to permit its replacement to avoid contamination. The sample container support may include horizontal stops which loosely limit the movement of the sample container and thus avoid further stresses upon it.

  11. Sample introduction system for a flow cytometer

    DOE Patents [OSTI]

    Engh, G. van den

    1997-02-11T23:59:59.000Z

    A sample introduction system for a flow cytometer allows easy change of sample containers such as test tubes and facilitates use in high pressure environments. The sample container includes a cap having a pressure supply chamber and a sample container attachment cavity. A sample container may be automatically positioned into the attachment cavity so as to sealably engage the end of the sample container as its outer surface. This positioning may be accomplished through some sample introduction mechanism. To facilitate cleaning, HPLC tubing and fittings may be used in a manner which facilitates removing of the entire tubing from both the nozzle container and other sample container cap to permit its replacement to avoid contamination. The sample container support may include horizontal stops which loosely limit the movement of the sample container and thus avoid further stresses upon it. 3 figs.

  12. Sample introduction system for a flow cytometer

    DOE Patents [OSTI]

    Van den Engh, Ger (Seattle, WA)

    1997-01-01T23:59:59.000Z

    A sample introduction system for a flow cytometer allows easy change of sample containers such as test tubes and facilitates use in high pressure environments. The sample container includes a cap having a pressure supply chamber and a sample container attachment cavity. A sample container may be automatically positioned into the attachment cavity so as to sealably engage the end of the sample container as its outer surface. This positioning may be accomplished through some sample introduction mechanism. To facilitate cleaning, HPLC tubing and fittings may be used in a manner which facilitates removing of the entire tubing from both the nozzle container and other sample container cap to permit its replacement to avoid contamination. The sample container support may include horizontal stops which loosely limit the movement of the sample container and thus avoid further stresses upon it.

  13. Sample introduction apparatus for a flow cytometer

    DOE Patents [OSTI]

    Van den Engh, G.

    1998-03-10T23:59:59.000Z

    A sample introduction system for a flow cytometer allows easy change of sample containers such as test tubes and facilitates use in high pressure environments. The sample container includes a cap having a pressure supply chamber and a sample container attachment cavity. A sample container may be automatically positioned into the attachment cavity so as to sealably engage the end of the sample container as its outer surface. This positioning may be accomplished through some sample introduction mechanism. To facilitate cleaning HPLC tubing and fittings may be used in a manner which facilitates removable of the entire tubing from both the nozzle container and other sample container cap to permit its replacement to avoid contamination. The sample container support may include horizontal stops which loosely limit the movement of the sample container and thus avoid further stresses upon it. 3 figs.

  14. Optical Spectroscopic ATLAS of the MOJAVE/2cm AGN Sample

    E-Print Network [OSTI]

    Torrealba, Janet; Cruz-González, Irene; Arshakian, Tigran G; Bertone, Emanuele; Rosa-González, Daniel

    2011-01-01T23:59:59.000Z

    We present an optical spectroscopic atlas at intermediate resolution (8 -15 A) for 124 core-dominated radio-loud active galactic nuclei with relativistic jets, drawn from the MOJAVE/2cm sample at 15GHz. It is the first time that spectroscopic and photometric parameters for a large sample of such type of AGN are presented. The atlas includes spectral parameters for the emission lines Hbeta, [O III] 5007, Mg II 2798 and/or C IV 1549 and corresponding data for the continuum, as well as the luminosities and equivalent widths of the Fe II UV/optical. It also contains the homogeneous photometric information in the B-band for 242 sources of the sample, with a distribution peak at BJ=18.0 and a magnitude interval of 11.1< BJ <23.7.

  15. Hanford Site Environmental Surveillance Master Sampling Schedule for Calendar Year 2009

    SciTech Connect (OSTI)

    Bisping, Lynn E.

    2009-01-20T23:59:59.000Z

    Environmental surveillance of the Hanford Site and surrounding areas is conducted by the Pacific Northwest National Laboratory for the U.S. Department of Energy. Sampling is conducted to evaluate levels of radioactive and nonradioactive pollutants in the Hanford environs, as required in DOE Order 450.1 and DOE Order 5400.5. This document contains the calendar year 2009 schedule for the routine collection of samples for the Surface Environmental Surveillance Project and Drinking Water Monitoring Project. Each section includes sampling locations, sampling frequencies, sample types, and analyses to be performed. In some cases, samples are scheduled on a rotating basis. If a sample will not be collected in 2009, the anticipated year for collection is provided. Maps showing approximate sampling locations are included for media scheduled for collection in 2009.

  16. Hanford Site Environmental Surveillance Master Sampling Schedule for Calendar Year 2010

    SciTech Connect (OSTI)

    Bisping, Lynn E.

    2010-01-08T23:59:59.000Z

    Environmental surveillance of the Hanford Site and surrounding areas is conducted by Pacific Northwest National Laboratory for the U.S. Department of Energy (DOE). Sampling is conducted to evaluate levels of radioactive and nonradioactive pollutants in the Hanford Site environs per regulatory requirements. This document contains the calendar year 2010 schedule for the routine collection of samples for the Surface Environmental Surveillance Project and the Drinking Water Monitoring Project. Each section includes sampling locations, sampling frequencies, sample types, and analyses to be performed. In some cases, samples are scheduled on a rotating basis. If a sample will not be collected in 2010, the anticipated year for collection is provided. Maps showing approximate sampling locations are included for media scheduled for collection in 2010.

  17. Blue Noise Sampling with Controlled Aliasing DANIEL HECK and THOMAS SCHL OMER and OLIVER DEUSSEN

    E-Print Network [OSTI]

    Deussen, Oliver

    Blue Noise Sampling with Controlled Aliasing DANIEL HECK and THOMAS SCHL ¨OMER and OLIVER DEUSSEN University of Konstanz In this paper we revisit the problem of blue noise sampling with a strong focus types of blue noise patterns: step blue noise with a power spectrum in the form of a step function

  18. A New Pulsed Glow Discharge Source With Enhanced Ion Extraction for Small Non-Conductive Samples or Atmospheric Sampling

    SciTech Connect (OSTI)

    Jackson, Glen P. [Ohio University, Athens; Haire, Richard {Dick} G [ORNL; Duckworth, Douglas {Doug} C [ORNL

    2003-04-01T23:59:59.000Z

    An ionization source designed to efficiently utilize sub-milligram quantities of electrically non-conducting compounds (i.e. oxides) for prolonged periods of mass spectrometric analysis is described. The source is coupled to a quadrupole ion trap mass spectrometer in this report, but could readily be modified for alternative types of mass spectrometers. The coaxial-design glow discharge ion source is unique in that it incorporates a focusing lens behind the discharge surface to steer ions towards the ion sampling plate and thereby improve sensitivity. Non-conducting oxide samples are infused in indium and set in one end of an electrically conductive rod, to which the voltage is applied. Transmission efficiency is sufficient to allow the measurement of isotopes of tungsten from a tungsten rod using glow discharge pulse widths as narrow as 2 {micro}s, which is on the order of single-atom layer sputtering. The sputtering and ionization processes occurring in the discharge produces mainly atomic metal ions, regardless of the chemical form of the metals in the samples. This latter aspect is particularly useful for intended applications involving actinide samples, and allows a minimal amount of sample handling. In a second application, a metal capillary is used in place of the rod to create an atmospheric sampling glow discharge. In this mode, the ion-focusing lens was also found to enhance ion signals arising from volatile vapors entering the discharge from the capillary.

  19. Sampling Artifacts from Conductive Silicone Tubing

    SciTech Connect (OSTI)

    Timko, Michael T.; Yu, Zhenhong; Kroll, Jesse; Jayne, John T.; Worsnop, Douglas R.; Miake-Lye, Richard C.; Onasch, Timothy B.; Liscinsky, David; Kirchstetter, Thomas W.; Destaillats, Hugo; Holder, Amara L.; Smith, Jared D.; Wilson, Kevin R.

    2009-05-15T23:59:59.000Z

    We report evidence that carbon impregnated conductive silicone tubing used in aerosol sampling systems can introduce two types of experimental artifacts: 1) silicon tubing dynamically absorbs carbon dioxide gas, requiring greater than 5 minutes to reach equilibrium and 2) silicone tubing emits organic contaminants containing siloxane that adsorb onto particles traveling through it and onto downstream quartz fiber filters. The consequence can be substantial for engine exhaust measurements as both artifacts directly impact calculations of particulate mass-based emission indices. The emission of contaminants from the silicone tubing can result in overestimation of organic particle mass concentrations based on real-time aerosol mass spectrometry and the off-line thermal analysis of quartz filters. The adsorption of siloxane contaminants can affect the surface properties of aerosol particles; we observed a marked reduction in the water-affinity of soot particles passed through conductive silicone tubing. These combined observations suggest that the silicone tubing artifacts may have wide consequence for the aerosol community and should, therefore, be used with caution. Gentle heating, physical and chemical properties of the particle carriers, exposure to solvents, and tubing age may influence siloxane uptake. The amount of contamination is expected to increase as the tubing surface area increases and as the particle surface area increases. The effect is observed at ambient temperature and enhanced by mild heating (<100 oC). Further evaluation is warranted.

  20. Gibbs Sampling in Open-Universe Stochastic Languages Nimar S. Arora

    E-Print Network [OSTI]

    Russell, Stuart

    - tial speedups over existing methods on sev- eral test cases, and substantially improves a price, however: BLOG's default Metropolis­Hastings inference engine samples each variable conditioned is a directed binary tree, where each node is a predi- #12;WingType=Helicopter WingType RotorLength Blade

  1. Method and apparatus for data sampling

    DOE Patents [OSTI]

    Odell, Daniel M. C. (Aiken, SC)

    1994-01-01T23:59:59.000Z

    A method and apparatus for sampling radiation detector outputs and determining event data from the collected samples. The method uses high speed sampling of the detector output, the conversion of the samples to digital values, and the discrimination of the digital values so that digital values representing detected events are determined. The high speed sampling and digital conversion is performed by an A/D sampler that samples the detector output at a rate high enough to produce numerous digital samples for each detected event. The digital discrimination identifies those digital samples that are not representative of detected events. The sampling and discrimination also provides for temporary or permanent storage, either serially or in parallel, to a digital storage medium.

  2. Method and apparatus for data sampling

    DOE Patents [OSTI]

    Odell, D.M.C.

    1994-04-19T23:59:59.000Z

    A method and apparatus for sampling radiation detector outputs and determining event data from the collected samples is described. The method uses high speed sampling of the detector output, the conversion of the samples to digital values, and the discrimination of the digital values so that digital values representing detected events are determined. The high speed sampling and digital conversion is performed by an A/D sampler that samples the detector output at a rate high enough to produce numerous digital samples for each detected event. The digital discrimination identifies those digital samples that are not representative of detected events. The sampling and discrimination also provides for temporary or permanent storage, either serially or in parallel, to a digital storage medium. 6 figures.

  3. Fluid sampling system for a nuclear reactor

    DOE Patents [OSTI]

    Lau, Louis K. (Monroeville, PA); Alper, Naum I. (Monroeville, PA)

    1994-01-01T23:59:59.000Z

    A system of extracting fluid samples, either liquid or gas, from the interior of a nuclear reactor containment utilizes a jet pump. To extract the sample fluid, a nonradioactive motive fluid is forced through the inlet and discharge ports of a jet pump located outside the containment, creating a suction that draws the sample fluid from the containment through a sample conduit connected to the pump suction port. The mixture of motive fluid and sample fluid is discharged through a return conduit to the interior of the containment. The jet pump and means for removing a portion of the sample fluid from the sample conduit can be located in a shielded sample grab station located next to the containment. A non-nuclear grade active pump can be located outside the grab sampling station and the containment to pump the nonradioactive motive fluid through the jet pump.

  4. Fluid sampling system for a nuclear reactor

    DOE Patents [OSTI]

    Lau, L.K.; Alper, N.I.

    1994-11-22T23:59:59.000Z

    A system of extracting fluid samples, either liquid or gas, from the interior of a nuclear reactor containment utilizes a jet pump. To extract the sample fluid, a nonradioactive motive fluid is forced through the inlet and discharge ports of a jet pump located outside the containment, creating a suction that draws the sample fluid from the containment through a sample conduit connected to the pump suction port. The mixture of motive fluid and sample fluid is discharged through a return conduit to the interior of the containment. The jet pump and means for removing a portion of the sample fluid from the sample conduit can be located in a shielded sample grab station located next to the containment. A non-nuclear grade active pump can be located outside the grab sampling station and the containment to pump the nonradioactive motive fluid through the jet pump. 1 fig.

  5. Sample storage/disposal study

    SciTech Connect (OSTI)

    Valenzuela, B.D.

    1994-09-29T23:59:59.000Z

    Radioactive waste from defense operations has accumulated at the Hanford Site`s underground waste tanks since the late 1940`s. Each tank must be analyzed to determine whether it presents any harm to the workers at the Hanford Site, the public or the environment. Analyses of the waste aids in the decision making process in preparation of future tank waste stabilization procedures. Characterization of the 177 waste tanks on the Hanford Site will produce a large amount of archived material. This also brings up concerns as to how the excess waste tank sample material from 325 and 222-S Analytical Laboratories will be handled. Methods to archive and/or dispose of the waste have been implemented into the 222-S and 325 Laboratory procedures. As the amount of waste characterized from laboratory analysis grows, an examination of whether the waste disposal system will be able to compensate for this increase in the amount of waste needs to be examined. Therefore, the need to find the safest, most economically sound method of waste storage/disposal is important.

  6. TIDAL TAIL EJECTION AS A SIGNATURE OF TYPE Ia SUPERNOVAE FROM WHITE DWARF MERGERS

    SciTech Connect (OSTI)

    Raskin, Cody; Kasen, Daniel [Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, CA (United States)

    2013-07-20T23:59:59.000Z

    The merger of two white dwarfs may be preceded by the ejection of some mass in ''tidal tails,'' creating a circumstellar medium around the system. We consider the variety of observational signatures from this material, which depend on the lag time between the start of the merger and the ultimate explosion (assuming one occurs) of the system in a Type Ia supernova (SN Ia). If the time lag is fairly short, then the interaction of the supernova ejecta with the tails could lead to detectable shock emission at radio, optical, and/or X-ray wavelengths. At somewhat later times, the tails produce relatively broad NaID absorption lines with velocity widths of the order of the white dwarf escape speed ({approx}1000 km s{sup -1}). That none of these signatures have been detected in normal SNe Ia constrains the lag time to be either very short ({approx}< 100 s) or fairly long ({approx}> 100 yr). If the tails have expanded and cooled over timescales {approx}10{sup 4} yr, then they could be observable through narrow NaID and Ca II H and K absorption lines in the spectra, which are seen in some fraction of SNe Ia. Using a combination of three-dimensional and one-dimensional hydrodynamical codes, we model the mass loss from tidal interactions in binary systems, and the subsequent interactions with the interstellar medium, which produce a slow-moving, dense shell of gas. We synthesize NaID line profiles by ray casting through this shell, and show that in some circumstances tidal tails could be responsible for narrow absorptions similar to those observed.

  7. E-Print Network 3.0 - autumn-winter type scrub Sample Search...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    18 Short term effects of moderate carbon prices on land use in the New Zealand emissions trading Summary: rural land-use responds to scrub price changes relating to carbon...

  8. E-Print Network 3.0 - aluminum salen-type initiators Sample Search...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    77 QUASI-STATIC AND DYNAMIC TORSION TESTING OF CERAMIC MICRO AND NANO-STRUCTURED COATINGS USING SPECKLE PHOTOGRAPHY Summary: and WCCo coatings on aluminum substrates is...

  9. High-resolution ab initio three-dimensional X-ray diffraction microscopy (CXIDB ID 15)

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chapman, Henry N.

    The file contains 125 images corresponding to different tilts of the sample around the y axis at 1 degree intervals. Each image is the result of 4 exposures merged together. For more details see the citation.

  10. YEAR","UTILITY_ID","UTILITY_NAME","PLANT_ID","PLANT_NAME","SCHEDULE","LINENO","A

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content4,367,470 4,364,790AMOUNT(DOLLARS)","DESCRIPTION"OECD/IEA - 2008 © OECD/IEA - 2008

  11. AMENDMENT OF SOLlClTATlONlMODlFlCATlON OF CONTRACT I ' CONTRACT ID CODE

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA Approved: 5-13-14Russianvolunteer | National011-03-2010 1 PAGE 1' CONTRACT ID

  12. AMENDMENT OF SOLlClTATlONlMODlFlCATlON OF CONTRACT I I. CONTRA'T ID CODE

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA Approved: 5-13-14Russianvolunteer | National011-03-2010 1 PAGE 1'CONTRA'T ID CODE

  13. AMENDMENT OF SOLlClTATlONlMODlFlCATlON OF CONTRACT ID PAGE I OF 2

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA Approved: 5-13-14Russianvolunteer | National011-03-2010 1 PAGE 1'CONTRA'T ID

  14. Bayesian Statistics Stochastic Simulation -Gibbs sampling

    E-Print Network [OSTI]

    Wright, Francis

    Bayesian Statistics Stochastic Simulation - Gibbs sampling Bayesian Statistics - an Introduction Dr Pettit Bayesian Statistics - an Introduction #12;Bayesian Statistics Stochastic Simulation - Gibbs sampling What is Bayesian Statistics? Bayes Theorem The Likelihood Principle Mixtures of conjugate priors

  15. Curve sampling and geometric conditional simulation

    E-Print Network [OSTI]

    Fan, Ayres C. (Ayres Chee), 1978-

    2008-01-01T23:59:59.000Z

    The main objective of this thesis is the development and exploitation of techniques to generate geometric samples for the purpose of image segmentation. A sampling-based approach provides a number of benefits over existing ...

  16. An introduction to boson-sampling

    E-Print Network [OSTI]

    Bryan T. Gard; Keith R. Motes; Jonathan P. Olson; Peter P. Rohde; Jonathan P. Dowling

    2014-06-26T23:59:59.000Z

    Boson-sampling is a simplified model for quantum computing that may hold the key to implementing the first ever post-classical quantum computer. Boson-sampling is a non-universal quantum computer that is significantly more straightforward to build than any universal quantum computer proposed so far. We begin this chapter by motivating boson-sampling and discussing the history of linear optics quantum computing. We then summarize the boson-sampling formalism, discuss what a sampling problem is, explain why boson-sampling is easier than linear optics quantum computing, and discuss the Extended Church-Turing thesis. Next, sampling with other classes of quantum optical states is analyzed. Finally, we discuss the feasibility of building a boson-sampling device using existing technology.

  17. Principles for Sampling Airborne Radioactivity from Stacks

    SciTech Connect (OSTI)

    Glissmeyer, John A.

    2010-10-18T23:59:59.000Z

    This book chapter describes the special processes involved in sampling the airborne effluents from nuclear faciities. The title of the book is Radioactive Air Sampling Methods. The abstract for this chapter was cleared as PNNL-SA-45941.

  18. Flow Cytometry Instrument Policy & Penalties Sample Preparation

    E-Print Network [OSTI]

    Noble, James S.

    the integrity of the instrument, all samples must be filtered with a 40 µm mesh cell strainer just before

  19. DOE methods for evaluating environmental and waste management samples

    SciTech Connect (OSTI)

    Goheen, S.C.; McCulloch, M.; Thomas, B.L.; Riley, R.G.; Sklarew, D.S.; Mong, G.M.; Fadeff, S.K. [eds.

    1994-10-01T23:59:59.000Z

    DOE Methods for Evaluating Environmental and Waste Management Samples (DOE Methods) is a resource intended to support sampling and analytical activities for the evaluation of environmental and waste management samples from U.S. Department of Energy (DOE) sites. DOE Methods is the result of extensive cooperation from all DOE analytical laboratories. All of these laboratories have contributed key information and provided technical reviews as well as significant moral support leading to the success of this document. DOE Methods is designed to encompass methods for collecting representative samples and for determining the radioisotope activity and organic and inorganic composition of a sample. These determinations will aid in defining the type and breadth of contamination and thus determine the extent of environmental restoration or waste management actions needed, as defined by the DOE, the U.S. Environmental Protection Agency, or others. The development of DOE Methods is supported by the Analytical Services Division of DOE. Unique methods or methods consolidated from similar procedures in the DOE Procedures Database are selected for potential inclusion in this document. Initial selection is based largely on DOE needs and procedure applicability and completeness. Methods appearing in this document are one of two types, {open_quotes}Draft{close_quotes} or {open_quotes}Verified{close_quotes}. {open_quotes}Draft{close_quotes} methods that have been reviewed internally and show potential for eventual verification are included in this document, but they have not been reviewed externally, and their precision and bias may not be known. {open_quotes}Verified{close_quotes} methods in DOE Methods have been reviewed by volunteers from various DOE sites and private corporations. These methods have delineated measures of precision and accuracy.

  20. Notice Type: Presolicitation

    E-Print Network [OSTI]

    each Accessory Kit for furnace hoist P/N: HTP40000A05.020, 1 each Highest temperature vacuum tube furnace P/N: HTP4000A89.000-00, 1 each Sample carrier system for TG measurements P/N: HTP40000A52.000-00, 1 each Furnace power supply system for 2400 degree C tungsten furnace P/N: HTP40000A30.010-00, 1

  1. Visual Sample Plan Version 3.0

    E-Print Network [OSTI]

    PNNL-14970 Visual Sample Plan Version 3.0 User's Guide N. L. Hassig R. O. Gilbert J. E. Wilson B. A-14970 Visual Sample Plan Version 3.0 User's Guide N. L. Hassig R. O. Gilbert J. E. Wilson B. A Sample Plan (VSP) Version 3.0 and provides instructions for using the software. VSP selects

  2. Dust around Type Ia supernovae

    E-Print Network [OSTI]

    Wang, Lifan

    2005-01-01T23:59:59.000Z

    Dust around Type Ia supernovae Lifan Wang 1,2 LawrenceIa. Subject headings: Supernovae: General, Dust, Extinctionline) bands for Type Ia supernovae. (a), upper panel, shows

  3. Waste minimization in analytical chemistry through innovative sample preparation techniques.

    SciTech Connect (OSTI)

    Smith, L. L.

    1998-05-28T23:59:59.000Z

    Because toxic solvents and other hazardous materials are commonly used in analytical methods, characterization procedures result in significant and costly amount of waste. We are developing alternative analytical methods in the radiological and organic areas to reduce the volume or form of the hazardous waste produced during sample analysis. For the radiological area, we have examined high-pressure, closed-vessel microwave digestion as a way to minimize waste from sample preparation operations. Heated solutions of strong mineral acids can be avoided for sample digestion by using the microwave approach. Because reactivity increases with pressure, we examined the use of less hazardous solvents to leach selected contaminants from soil for subsequent analysis. We demonstrated the feasibility of this approach by extracting plutonium from a NET reference material using citric and tartaric acids with microwave digestion. Analytical results were comparable to traditional digestion methods, while hazardous waste was reduced by a factor often. We also evaluated the suitability of other natural acids, determined the extraction performance on a wider variety of soil types, and examined the extraction efficiency of other contaminants. For the organic area, we examined ways to minimize the wastes associated with the determination of polychlorinated biphenyls (PCBs) in environmental samples. Conventional methods for analyzing semivolatile organic compounds are labor intensive and require copious amounts of hazardous solvents. For soil and sediment samples, we have a method to analyze PCBs that is based on microscale extraction using benign solvents (e.g., water or hexane). The extraction is performed at elevated temperatures in stainless steel cells containing the sample and solvent. Gas chromatography-mass spectrometry (GC/MS) was used to quantitate the analytes in the isolated extract. More recently, we developed a method utilizing solid-phase microextraction (SPME) for natural water samples. In this SPME technique, a fused-silica fiber coated with a polymeric film is exposed to the sample, extraction is allowed to take place, and then the analytes are thermally desorbed for GC analysis. Unlike liquid-liquid extraction or solid-phase extraction, SPME consumes all of the extracted sample in the analysis, significantly reducing the required sample volume.

  4. Wolter type i LAMAR

    SciTech Connect (OSTI)

    Catura, R.C.; Joki, E.G.

    1981-11-01T23:59:59.000Z

    Observational objectives for the LAMAR and their influence on the instrument design are discussed. It is concluded that the most important design parameter is the angular resolution of the LAMAR modules since it so strongly influences sensitivity, optical identifications, source confusion, spectral resolution for objective gratings and the ability to resolve small extended sources. A high resolution Wolter Type I LAMAR module is described, its hardware status discussed, and the performance of a LAMAR observatory presented. A promising technique for enhancing the reflectivity of Wolter Type I X-ray optics in a selected bandpass at high energy has been investigated and the performance of the LAMAR module, utilizing this method, has been calculated.

  5. ENVIRONMENTAL SAMPLING AND ANALYSIS - GETTING IT RIGHT

    SciTech Connect (OSTI)

    CONNELL CW

    2008-01-22T23:59:59.000Z

    The Department of Energy's Hanford Site in southeastern Washington State was established in the 1940s as part of the Manhattan Project. Hanford's role was to produce weapons-grade nuclear material for defense, and by 1989, when the Site's mission changed from operations to cleanup, Hanford had produced more than 60 percent of the nation's plutonium. The legacy of Hanford's production years is enormous in terms of nuclear and hazardous waste, especially the 270 billion gallons of contaminated groundwater and the 5 million cubic yards of contaminated soil. Managing the contaminated soil and groundwater are particularly important because the Columbia River, the lifeblood of the northwest and the nation's eighth largest river, bounds the Site. Fluor Hanford's Soil & Groundwater Remediation Project (S&GRP) integrates all of the activities that deal with remediating and monitoring the groundwater across the Site. The S&GRP uses a detailed series of steps to record, track, and verify information. The Sample and Data Management (SDM) Process consists of 10 integrated steps that start with the data quality objectives process that establishes the mechanism for collecting the right information with the right people. The process ends with data quality assessment, which is used to ensure that all quantitative data (e.g., field screening, fixed laboratory) are the right type, and of adequate quality to support the decision-making process. Steps 3 through 10 of the process are production steps and are integrated electronically. The detailed plans, procedures, and systems used day-to-day by the SDM process require a high degree of accuracy and reliability. Tools must be incorporated into the processes that minimize errors. This paper discusses all of the elements of the SDM process in detail.

  6. Rappels: 4) Piles Types abstraits de donnes (Abstract Data Type)

    E-Print Network [OSTI]

    Hamel, Sylvie

    Rappels: 4) Piles #12;Types abstraits de données (Abstract Data Type) IFT2015, A2009, Sylvie Hamel Université de Montréal 1Piles Type de données Un ensemble de valeurs Un ensemble d'opérations Structure de Université de Montréal 2Piles #12;Type abstrait de données PILE (§4.2) Garde en mémoire des objets

  7. Sample sizes for confidence limits for reliability.

    SciTech Connect (OSTI)

    Darby, John L.

    2010-02-01T23:59:59.000Z

    We recently performed an evaluation of the implications of a reduced stockpile of nuclear weapons for surveillance to support estimates of reliability. We found that one technique developed at Sandia National Laboratories (SNL) under-estimates the required sample size for systems-level testing. For a large population the discrepancy is not important, but for a small population it is important. We found that another technique used by SNL provides the correct required sample size. For systems-level testing of nuclear weapons, samples are selected without replacement, and the hypergeometric probability distribution applies. Both of the SNL techniques focus on samples without defects from sampling without replacement. We generalized the second SNL technique to cases with defects in the sample. We created a computer program in Mathematica to automate the calculation of confidence for reliability. We also evaluated sampling with replacement where the binomial probability distribution applies.

  8. gftID l8SCvctixXEPvr15k2yQ2uGuvSdEFB5nju9wRXBT year timestamp

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Wind Projectsource History ViewZAPZinccell Home Dc'sgftID

  9. http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1342&pid=1336&topicname=Union_(Analysis) Union Computes a geometric intersection of the Input Features. All features will be written to the

    E-Print Network [OSTI]

    Brownstone, Rob

    http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1342&pid=1336&topicname Toolbox ­Overlay Toolset ­ Union #12;http://webhelp.esri.com/arcgisdesktop/9.3/index.cfm?id=1342&pid=1336

  10. First offer University students and staff the opportunity to enjoy discounted fares on routes to and from the Stirling campus. Apply NOW for the FirstStudent ID card.

    E-Print Network [OSTI]

    Little, Tony

    to and from the Stirling campus. Apply NOW for the FirstStudent ID card. https year of study. With a valid University of Stirling student matriculation card, staff card or FirstStudent ID card, you can benefit from the following discounted fares between the University and Stirling city

  11. Uncertainty and sampling issues in tank characterization

    SciTech Connect (OSTI)

    Liebetrau, A.M.; Pulsipher, B.A.; Kashporenko, D.M. [and others

    1997-06-01T23:59:59.000Z

    A defensible characterization strategy must recognize that uncertainties are inherent in any measurement or estimate of interest and must employ statistical methods for quantifying and managing those uncertainties. Estimates of risk and therefore key decisions must incorporate knowledge about uncertainty. This report focuses statistical methods that should be employed to ensure confident decision making and appropriate management of uncertainty. Sampling is a major source of uncertainty that deserves special consideration in the tank characterization strategy. The question of whether sampling will ever provide the reliable information needed to resolve safety issues is explored. The issue of sample representativeness must be resolved before sample information is reliable. Representativeness is a relative term but can be defined in terms of bias and precision. Currently, precision can be quantified and managed through an effective sampling and statistical analysis program. Quantifying bias is more difficult and is not being addressed under the current sampling strategies. Bias could be bounded by (1) employing new sampling methods that can obtain samples from other areas in the tanks, (2) putting in new risers on some worst case tanks and comparing the results from existing risers with new risers, or (3) sampling tanks through risers under which no disturbance or activity has previously occurred. With some bound on bias and estimates of precision, various sampling strategies could be determined and shown to be either cost-effective or infeasible.

  12. Postdoc Appointment Types

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah Project Office Press ReleasesPost-Closure BenefitsAppointment Types

  13. Pressurized pyrolysis and gasification of Chinese typical coal samples

    SciTech Connect (OSTI)

    Hanping Chen; Zhiwu Luo; Haiping Yang; Fudong Ju; Shihong Zhang [Huazhong University of Science and Technology, Wuhan (China). State Key Laboratory of Coal Combustion

    2008-03-15T23:59:59.000Z

    This paper aims to understand the pyrolysis and gasification behavior of different Chinese coal samples at different pressures. First, the pyrolysis of four typical Chinese coals samples (Xiaolongtan brown coal, Shenfu bituminous coal, Pingzhai anthracite coal, and Heshan lean coal) were carried out using a pressurized thermogravimetric analyzer at ambient pressure and 3 MPa, respectively. The surface structure and elemental component of the resultant char were measured with an automated gas adsorption apparatus and element analyzer. It was observed that higher pressure suppressed the primary pyrolysis, while the secondary pyrolysis of coal particles was promoted. With respect to the resultant solid char, the carbon content increased while H content decreased; however, the pore structure varied greatly with increasing pressure for different coal samples. For Xiaolongtan brown coal (XLT) char, it decreased greatly, while it increased obviously for the other three char types. Then, the isothermal gasification behavior of solid char particles was investigated using an ambient thermal analyzer with CO{sub 2} as the gasifying agent at 1000{sup o}C. The gasification reactivity of solid char was decreased greatly with increasing pyrolysis pressure. However, the extent of change displayed a vital relation with the characteristics of the original coal sample. 26 refs., 5 figs., 5 tabs.

  14. 241-Z-361 Sludge Characterization Sampling and Analysis Plan

    SciTech Connect (OSTI)

    BANNING, D.L.

    1999-08-05T23:59:59.000Z

    This sampling and analysis plan (SAP) identifies the type, quantity, and quality of data needed to support characterization of the sludge that remains in Tank 241-2-361. The procedures described in this SAP are based on the results of the 241-2-361 Sludge Characterization Data Quality Objectives (DQO) (BWHC 1999) process for the tank. The primary objectives of this project are to evaluate the contents of Tank 241-2-361 in order to resolve safety and safeguards issues and to assess alternatives for sludge removal and disposal.

  15. 241-Z-361 Sludge Characterization Sampling and Analysis Plan

    SciTech Connect (OSTI)

    BANNING, D.L.

    1999-07-29T23:59:59.000Z

    This sampling and analysis plan (SAP) identifies the type, quantity, and quality of data needed to support characterization of the sludge that remains in Tank 241-2-361. The procedures described in this SAP are based on the results of the 241-2-361 Sludge Characterization Data Quality Objectives (DQO) (BWHC 1999) process for the tank. The primary objectives of this project are to evaluate the contents of Tank 241-2-361 in order to resolve safety and safeguards issues and to assess alternatives for sludge removal and disposal.

  16. Sample size for logistic regression with small response probability

    SciTech Connect (OSTI)

    Whittemore, A S

    1980-03-01T23:59:59.000Z

    The Fisher information matrix for the estimated parameters in a multiple logistic regression can be approximated by the augmented Hessian matrix of the moment generating function for the covariates. The approximation is valid when the probability of response is small. With its use one can obtain a simple closed form estimate of the asymptotic covariance matrix of the maximum likelihood parameter estimates, and thus approximate sample sizes needed to test hypotheses about the parameters. The method is developed for selected distributions of a single covariate, and for a class of exponential-type distributions of several covariates. It is illustrated with an example concerning risk factors for coronary heart disease.

  17. Combating the Class Imbalance Problem in Small Sample Data Sets

    E-Print Network [OSTI]

    Wasikowski, Michael

    2009-07-07T23:59:59.000Z

    accuracy of both decision tree and neural network classifiers despite not creating a fully balanced class distribution. 2.2 New Algorithms A wide variety of new learning methods have been created specifically to com- bat the class imbalance problem. While... that the features are only weakly predictive of the class. The other main type of one-class learner studied is the autoencoder investi- gated by Japkowicz [42]. The autoencoder is a neural network that is trained to reconstruct an input sample as its output...

  18. Testing Your Soil: How to Collect and Send Samples

    E-Print Network [OSTI]

    Provin, Tony; Pitt, John L.

    2002-06-26T23:59:59.000Z

    System. 8-99 Level of available soil nutrient Crop yield increase from fertilization V. LOW LOW MEDIUM HIGH V. HIGH E E-534 ping, fertilization, liming, soil types or land use will re- quire several composite samples. The field identification map should...) select the proper test, and complete the information sheet and mail to the Soil, Water, and Forage Testing Laboratory at 345 Heep Center, College Station, TX 77843-2474. Contact the lab at (409) 845-4816, FAX (409) 845-5958, or at the Web site http...

  19. 100 Area Columbia River sediment sampling

    SciTech Connect (OSTI)

    Weiss, S.G. [Westinghouse Hanford Co., Richland, WA (United States)

    1993-09-08T23:59:59.000Z

    Forty-four sediment samples were collected from 28 locations in the Hanford Reach of the Columbia River to assess the presence of metals and man-made radionuclides in the near shore and shoreline settings of the Hanford Site. Three locations were sampled upriver of the Hanford Site plutonium production reactors. Twenty-two locations were sampled near the reactors. Three locations were sampled downstream of the reactors near the Hanford Townsite. Sediment was collected from depths of 0 to 6 in. and between 12 to 24 in. below the surface. Samples containing concentrations of metals exceeding the 95 % upper threshold limit values (DOE-RL 1993b) are considered contaminated. Contamination by arsenic, chromium, copper, lead, and zinc was found. Man-made radionuclides occur in all samples except four collected opposite the Hanford Townsite. Man-made radionuclide concentrations were generally less than 1 pCi/g.

  20. Argonne Premium Coal Sample Bank The Argonne Premium Coal (APC) Sample Bank can supply

    E-Print Network [OSTI]

    Maranas, Costas

    Argonne Premium Coal Sample Bank Background Overview T The Argonne Premium Coal (APC) Sample Bank can supply researchers with highly uniform, well-protected coal samples unexposed to oxygen. Researchers investigating coal structure, properties, and behavior can benefit greatly from these samples