Sample records for identifier bldgid3 1

  1. Hazard Labeling Elements 1. Product identifier: how the hazardous chemical is identified. This can be (but is not

    E-Print Network [OSTI]

    Chapman, Michael S.

    Hazard Labeling Elements 1. Product identifier: how the hazardous chemical is identified. This can of severity of hazard and alert the reader to a potential hazard on the label. There are only two signal words, "Danger" and "Warning." Within a specific hazard class, "Danger" is used for the more severe hazards

  2. Protection of Personally Identifiable Information (PII) UT-B Contracts Div Page 1 of 1

    E-Print Network [OSTI]

    Pennycook, Steve

    Protection of Personally Identifiable Information (PII) UT-B Contracts Div Oct 2010 Page 1 of 1 protect-pii-ext-oct10.docx PROTECTION OF PERSONALLY IDENTIFIABLE INFORMATION (PII) (Oct 2010) (a information about an individual (hereinafter referred to as "PII"), the Seller shall after receipt thereof

  3. nature genetics advance online publication 1 Identifying regulatory networks by

    E-Print Network [OSTI]

    Church, George M.

    for modeling transcriptional regulatory networks in more complex eukaryotes. 1Department of Genetics and Lipper of multiple tran- scription factors. Examples of this combinatorial transcriptional control have been, including the control of gene expression in response to a variety of signals from the environment

  4. 5A.8 IDENTIFYING NONSTATIONARITY IN THE ATMOSPHERIC SURFACE LAYER Edgar L Andreas*1

    E-Print Network [OSTI]

    Geiger, Cathleen

    1 of 12 5A.8 IDENTIFYING NONSTATIONARITY IN THE ATMOSPHERIC SURFACE LAYER Edgar L Andreas*1 address: Edgar L Andreas, U.S. Army Cold Regions Research and Engineering Laboratory, 72 Lyme Road

  5. Identifying Hazardous Waste In Your Laboratory EPA Compliance Fact Sheet: Revision 1

    E-Print Network [OSTI]

    Wikswo, John

    Identifying Hazardous Waste In Your Laboratory EPA Compliance Fact Sheet: Revision 1 Vanderbilt.safety.vanderbilt.edu IDENTIFYING HAZARDOUS WASTES IN YOUR LAB Laboratory personnel should treat all waste chemical solids, liquids, or containerized gases as hazardous wastes unless a specific chemical waste has been confirmed to be a non-hazardous

  6. Tomato tos1 mutation identifies a gene essential for osmotic tolerance and abscisic acid sensitivity

    E-Print Network [OSTI]

    Málaga, Universidad de

    Tomato tos1 mutation identifies a gene essential for osmotic tolerance and abscisic acid a novel mutant in tomato (tos1) caused by a single recessive nuclear mutation that is hypersensitive to general osmotic stress. Growth measurements demonstrated that the tos1 mutant is less sensitive

  7. A Lagrangian approach to identifying vortex pinch-off Clara O'Farrell1

    E-Print Network [OSTI]

    Dabiri, John O.

    A Lagrangian approach to identifying vortex pinch-off Clara O'Farrell1 and John O. Dabiri2 1 Control and Dynamical Systems, California Institute of Technology, Pasadena, California 91125, USA 2 Graduate Aeronautical Laboratories and Bioengineering, California Institute of Technology, Pasadena

  8. FOUR NEW T DWARFS IDENTIFIED IN Pan-STARRS 1 COMMISSIONING DATA

    SciTech Connect (OSTI)

    Deacon, Niall R.; Liu, Michael C.; Magnier, Eugene A.; Bowler, Brendan P.; Burgett, W. S.; Chambers, K. C.; Flewelling, H.; Kaiser, N.; Morgan, J. S.; Sweeney, W. E.; Tonry, J. L.; Wainscoat, R. J.; Waters, C. [Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, HI 96822 (United States); Goldman, Bertrand [Max Planck Institute for Astronomy, Koenigstuhl 17, D-69117 Heidelberg (Germany); Redstone, Joshua A. [Facebook, 1601 S. California Avenue, Palo Alto, CA 94304 (United States); Lupton, R. H.; Price, P. A., E-mail: ndeacon@ifa.hawaii.edu [Princeton University Observatory, 4 Ivy Lane, Peyton Hall, Princeton University, Princeton, NJ 08544 (United States)

    2011-09-15T23:59:59.000Z

    A complete well-defined sample of ultracool dwarfs is one of the key science programs of the Pan-STARRS 1 optical survey telescope (PS1). Here we combine PS1 commissioning data with the Two Micron All Sky Survey (2MASS) to conduct a proper motion search (0.''1-2.''0 yr{sup -1}) for nearby T dwarfs, using optical+near-IR colors to select objects for spectroscopic follow-up. The addition of sensitive far-red optical imaging from PS1 enables discovery of nearby ultracool dwarfs that cannot be identified from 2MASS data alone. We have searched 3700 deg{sup 2} of PS1 y-band (0.95-1.03 {mu}m) data to y {approx} 19.5 mag (AB) and J {approx} 16.5 mag (Vega) and discovered four previously unknown bright T dwarfs. Three of the objects (with spectral types T1.5, T2, and T3.5) have photometric distances within 25 pc and were missed by previous 2MASS searches due to more restrictive color selection criteria. The fourth object (spectral type T4.5) is more distant than 25 pc and is only a single-band detection in 2MASS. We also examine the potential for completing the census of nearby ultracool objects with the PS1 3{pi} survey.

  9. Identifying stellar streams in the 1st RAVE public data release

    E-Print Network [OSTI]

    Rainer Klement; Burkhard Fuchs; Hans-Walter Rix

    2008-05-19T23:59:59.000Z

    We searched for and detected stellar streams or moving groups in the solar neighbourhood, using the data provided by the 1st RAVE public data release. This analysis is based on distances to RAVE stars estimated from a color-magnitude relation that was calibrated on Hipparcos stars. Our final sample consists of 7015 stars selected to be within 500 pc of the Sun and to have distance errors better than 25%. Together with radial velocities from RAVE and proper motions from various data bases, there are estimates for all 6 phase-space coordinates of the stars in the sample. We characterize the orbits of these stars through suitable proxies for their angular momentum and eccentricity, and compare the observed distribution to the expectations from a smooth distribution. On this basis we identify at least four "phase space overdensities" of stars on very similar orbits in the Solar neighbourhood. We estimate the statistical significance of these overdensities by Monte Carlo simulations. Three of them have been identified previously: the Sirius and Hercules moving group and a stream found independently in 2006 by Arifyanto and Fuchs and Helmi et al. In addition, we have found a new stream candidate on a quite radial orbit, suggesting an origin external to the Milky Way's disk. Also, there is evidence for the Arcturus stream and the Hyades-Pleiades moving group in the sample. This analysis, using only a minute fraction of the final RAVE data set, shows the power of this experiment to probe the phase-space substructure of stars around the Sun.

  10. hal-00941175,version1-3Feb2014 SCM and the principles identified by HPM. It is shown that

    E-Print Network [OSTI]

    Boyer, Edmond

    hal-00941175,version1-3Feb2014 #12;SCM and the principles identified by HPM. It is shown that two problems obtained in series. B. Dynamic permeability The derivation of the dynamic Darcy law from HPM

  11. Four recent National Academy studies of materials and manufacturing [1-4] have identified the recently established field of Integrated

    E-Print Network [OSTI]

    Shull, Kenneth R.

    in a computational materials design team project in MSc390 Materials Design. [1] NRC 2003, Materials Research to MeetFour recent National Academy studies of materials and manufacturing [1-4] have identified the recently established field of Integrated Computational Materials Engineering (ICME) as the greatest

  12. Discs Large Homolog 1: Identifying Molecular Mechanisms that Guide Functional Specificity in Lymphocytes

    E-Print Network [OSTI]

    Crocetti, Jillian Ann

    2014-01-01T23:59:59.000Z

    homolog of the Drosophila discs-large tumor suppressor. EMBOHumphries, L.A. & Miceli, M.C. Discs Large Homolog 1 (Dlg1)C. Shaw, W. Swat, B. Seed, Discs large (Dlg1) complexes in

  13. Call title: Call 6: FP7-INFRASTRUCTURES-2010-1 Call identifier: FP7-INFRASTRUCTURES-2010-1

    E-Print Network [OSTI]

    Milano-Bicocca, Università

    research infrastructures 1.1.1 Integrating Activities 162.00 1.2 Support to new research infrastructures 1 scheme(s) 1.1 Support to existing research infrastructures 1.1.1 Integrating Activities Social Sciences;1.1.1 Integrating Activities Europe and globalization. Life Sciences ° INFRA-2010-1.1.7: Plant genetic Resources

  14. Cancer Therapy: Preclinical Modulating Endogenous NQO1 Levels Identifies Key Regulatory

    E-Print Network [OSTI]

    Gao, Jinming

    Pancreatic cancer is the fourth leading cause of cancer- related death in the United States. (1). Current cancer is the fourth leading cause of cancer-related deaths, in which the 5-year survival rate is less. Results: b-Lap­mediated cell death required $90 enzymatic units of NQO1. Essential downstream mediators

  15. Hydrogen Bonds Involved in Binding the Qi-site Semiquinone in the bc1 Complex, Identified through Deuterium Exchange

    E-Print Network [OSTI]

    Crofts, Antony R.

    Hydrogen Bonds Involved in Binding the Qi-site Semiquinone in the bc1 Complex, Identified through them. The strength of interactions indicates that the protons are involved in hydrogen bonds with SQ. The hyperfine cou- plings differ from values typical for in-plane hydrogen bonds previously observed in model

  16. A phospho-proteomic screen identifies substrates of the checkpoint kinase Chk1

    E-Print Network [OSTI]

    Blasius, Melanie; Forment, Josep V; Thakkar, Neha; Wagner, Sebastian A; Choudhary, Chunaram; Jackson, Stephen P

    2011-08-18T23:59:59.000Z

    phosphorylation sites using this technique, we have further refined the Chk1 con- sensus sequence. Strikingly, our analyses indicate that, in addition to the over-representation of certain amino acid residues at particular positions within the Chk1 tar- get motif... -molecule modulators of protein and nucleic acid activities to elucidate cellular functions of their targets. Notably, Shokat and co-work- ers [15] have developed a chemical-genetics system to modulate the activity of a protein kinase by mutating an amino acid residue...

  17. Action 1b: Analysis of WP&C Deficiencies Identified by the DNFSB

    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 1112011AT&T, Inc.'s Reply Comments AT&T, SENSI NOT27 Acquisition Letter

  18. Identifying the Proteins that Mediate the Ionizing Radiation Resistance of Deinococcus Radiodurans R1

    SciTech Connect (OSTI)

    Battista, John R

    2010-02-22T23:59:59.000Z

    The primary objectives of this proposal was to define the subset of proteins required for the ionizing radiation (IR) resistance of Deinococcus radiodurans R1, characterize the activities of those proteins, and apply what was learned to problems of interest to the Department of Energy.

  19. nature genetics volume 29 october 2001 1 Identifying regulatory networks by

    E-Print Network [OSTI]

    Church, George M.

    for modeling transcriptional regulatory networks in more complex eukaryotes. 1Department of Genetics and Lipper of multiple tran- scription factors. Examples of this combinatorial transcriptional control have been, including the control of gene expression in response to a variety of signals from the environment

  20. Status Update on Action 1b: Analysis of WP&C Deficiencies Identified by the DNFSB

    Broader source: Energy.gov [DOE]

    Slide Presentation by Stephen L. Domotor, Office of Analysis, Office of Health, Safety and Security. Office of Analysis, Office of Health, Safety and Security. Analysis of Integrated Safety Management at the Activity Level: Work Planning and Control-Final Report,, U.S. Department of Energy, August 1, 2013.

  1. Executive Summary of the Inventory of U.S. Greenhouse Gas Emissions and Sinks: 19902009 1 n emissions inventory that identifies and quantifies a country's primary anthropogenic1

    E-Print Network [OSTI]

    Little, John B.

    Executive Summary of the Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990­2009 1 n emissions inventory that identifies and quantifies a country's primary anthropogenic1 In 1992, the United climate change. This inventory adheres to both (1) a comprehensive and detailed set of methodologies

  2. Identifying Activity

    E-Print Network [OSTI]

    Lewis, Adrian S

    2009-01-01T23:59:59.000Z

    Identification of active constraints in constrained optimization is of interest from both practical and theoretical viewpoints, as it holds the promise of reducing an inequality-constrained problem to an equality-constrained problem, in a neighborhood of a solution. We study this issue in the more general setting of composite nonsmooth minimization, in which the objective is a composition of a smooth vector function c with a lower semicontinuous function h, typically nonsmooth but structured. In this setting, the graph of the generalized gradient of h can often be decomposed into a union (nondisjoint) of simpler subsets. "Identification" amounts to deciding which subsets of the graph are "active" in the criticality conditions at a given solution. We give conditions under which any convergent sequence of approximate critical points finitely identifies the activity. Prominent among these properties is a condition akin to the Mangasarian-Fromovitz constraint qualification, which ensures boundedness of the set of...

  3. How to work with PNNL on an SBIR project 1. Identify a solicitation topic from the SBIR/STTR requests for proposals that you

    E-Print Network [OSTI]

    How to work with PNNL on an SBIR project 1. Identify a solicitation topic from the SBIR at PNNL with the expertise you need. Or call the Economic Development Office for help identifying the appropriate person (509-372-4328 or robin.conger@pnl.gov). 3. Work with the staff member at PNNL to determine

  4. Identifying Classified Information

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2011-02-01T23:59:59.000Z

    The Order establishes the program to identify information classified under the Atomic Energy Act [Restricted Data (RD), Formerly Restricted Data (FRD), and Transclassified Foreign Nuclear Information (TFNI)] or Executive Order (E.O.) 13526 [National Security Information (NSI)], so that it can be protected against unauthorized dissemination. Cancels DOE O 475.2 and DOE M 475.1-1B.

  5. Fractal Analysis: An Objective Method for Identifying Atypical Nuclei in Dysplastic Lesions of the Cervix Uteri1

    E-Print Network [OSTI]

    Svozil, Karl

    Fractal Analysis: An Objective Method for Identifying Atypical Nuclei in Dysplastic Lesions, Vienna, Austria Received October 15, 1998 Objectives. Fractal geometry is a tool used to characterize.g., the human renal artery tree), but also to derive parameters such as the fractal dimension in order

  6. Executive Summary An emissions inventory that identifies and quantifies a country's primary anthropogenic1 sources and sinks of

    E-Print Network [OSTI]

    Little, John B.

    Executive Summary An emissions inventory that identifies and quantifies a country's primary emission sources and greenhouse gases to climate change. In 1992, the United States signed and ratified and make available...national inventories of anthropogenic emissions by sources and removals by sinks

  7. Digital Object Identifier (DOI) 10.1007/s10107-005-0685-1 Math. Program., Ser. B 107, 213230 (2006)

    E-Print Network [OSTI]

    2006-01-01T23:59:59.000Z

    of the constraints. The main advance of the paper is to present two sparsity preserving ways for efficient) with an uncertain parameter vector p Rnp , and smooth real valued functions f0, f1, . . . , fnf , g1, . . . , gnx constraints equals the dimension of x.We assume the jacobian g x to be invertible everywhere, so that we can

  8. Application of Gene Network Analysis Techniques Identifies AXIN1/PDIA2 and Endoglin Haplotypes Associated with Bicuspid Aortic Valve

    E-Print Network [OSTI]

    Housman, David E.

    Bicuspid Aortic Valve (BAV) is a highly heritable congenital heart defect. The low frequency of BAV (1% of general population) limits our ability to perform genome-wide association studies. We present the application of ...

  9. Are Boltzmann Plots of Hydrogen Balmer lines a tool for identifying a subclass of S1 AGN?

    E-Print Network [OSTI]

    Rafanelli, P; Cracco, V; Di Mille, F; Ili?, D; La Mura, G; Popovi?, L ?

    2013-01-01T23:59:59.000Z

    It is becoming clear that we can define two different types of nearby AGN belonging to the Seyfert 1 class (S1), on the basis of the match of the intensities of their Broad Balmer Lines (BBL) with the Boltzmann Plots (BP). These two types of S1 galaxies, that we call BP-S1 and NoBP-S1, are characterized, in first approximation, by Broad Line Regions (BLR) with different structural and physical properties. In this communication, we show that these features can be well pointed out by a multi-wavelength analysis of the continuum and of the broad recombination Hydrogen lines, that we carry out on a sample of objects detected at optical and X-ray frequencies. The investigation is addressed to verify whether BP-S1 are the ideal candidates for the study of the kinematical and structural properties of the BLR, in order to derive reliable estimates of the mass of their central engine and to constrain the properties of their nuclear continuum spectrum.

  10. Manual for Identifying Classified Information

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2007-08-28T23:59:59.000Z

    The Manual provides detailed requirements to supplement DOE O 475.2, Identifying Classified Information, dated 8/28/07. Cancels DOE M 475.1-1A; canceled by DOE O 475.2A

  11. Mutant HNF-1{alpha} and mutant HNF-1{beta} identified in MODY3 and MODY5 downregulate DPP-IV gene expression in Caco-2 cells

    SciTech Connect (OSTI)

    Gu Ning [Laboratory of Metabolism, Graduate School of Human and Environmental Studies, Kyoto University, Kyoto (Japan); Laboratory of Neurochemistry, Graduate School of Human and Environmental Studies, Kyoto University, Kyoto (Japan); Adachi, Tetsuya [Department of Genomic Drug Discovery Science, Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto (Japan); Matsunaga, Tetsuro [Laboratory of Metabolism, Graduate School of Human and Environmental Studies, Kyoto University, Kyoto (Japan); Takeda, Jun [Department of Endocrinology Diabetes and Rheumatology, Graduate School of Medicine, Gifu University School of Medicine, Gifu (Japan); Tsujimoto, Gozoh [Department of Genomic Drug Discovery Science, Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto (Japan); Ishihara, Akihiko [Laboratory of Neurochemistry, Graduate School of Human and Environmental Studies, Kyoto University, Kyoto (Japan); Yasuda, Koichiro [Laboratory of Metabolism, Graduate School of Human and Environmental Studies, Kyoto University, Kyoto (Japan); Diabetic Center, Tsunashimakai-Kosei Hospital, Himeji (Japan); Tsuda, Kinsuke [Laboratory of Metabolism, Graduate School of Human and Environmental Studies, Kyoto University, Kyoto (Japan)]. E-mail: jinkan@tom.life.h.kyoto-u.ac.jp

    2006-08-04T23:59:59.000Z

    Dipeptidylpeptidase IV (DPP-IV) is a well-documented drug target for the treatment of type 2 diabetes. Hepatocyte nuclear factors (HNF)-1{alpha} and HNF-1{beta}, known as the causal genes of MODY3 and MODY5, respectively, have been reported to be involved in regulation of DPP-IV gene expression. But, it is not completely clear (i) that they play roles in regulation of DPP-IV gene expression, and (ii) whether DPP-IV gene activity is changed by mutant HNF-1{alpha} and mutant HNF-1{beta} in MODY3 and MODY5. To explore these questions, we investigated transactivation effects of wild HNF-1{alpha} and 13 mutant HNF-1{alpha}, as well as wild HNF-1{beta} and 2 mutant HNF-1{beta}, on DPP-IV promoter luciferase gene in Caco-2 cells by means of a transient experiment. Both wild HNF-1{alpha} and wild HNF-1{beta} significantly transactivated DPP-IV promoter, but mutant HNF-1{alpha} and mutant HNF-1{beta} exhibited low transactivation activity. Moreover, to study whether mutant HNF-1{alpha} and mutant HNF-1{beta} change endogenous DPP-IV enzyme activity, we produced four stable cell lines from Caco-2 cells, in which wild HNF-1{alpha} or wild HNF-1{beta}, or else respective dominant-negative mutant HNF-1{alpha}T539fsdelC or dominant-negative mutant HNF-1{beta}R177X, was stably expressed. We found that DPP-IV gene expression and enzyme activity were significantly increased in wild HNF-1{alpha} cells and wild HNF-1{beta} cells, whereas they decreased in HNF-1{alpha}T539fsdelC cells and HNF-1{beta}R177X cells, compared with DPP-IV gene expression and enzyme activity in Caco-2 cells. These results suggest that both wild HNF-1{alpha} and wild HNF-1{beta} have a stimulatory effect on DPP-IV gene expression, but that mutant HNF-1{alpha} and mutant HNF-1{beta} attenuate the stimulatory effect.

  12. Solutions to Test 1 Review Problems 1. Here are two sound waves. Identify which is periodic. For the periodic wave, sketch a

    E-Print Network [OSTI]

    Hall, Rachel W.

    in Hz and BPM. Is the frequency within the range of human hearing? Answer. The periodic wave frequency is 1/0.01 = 100 Hz = 6000 BPM. 2. Functions. (a) For each function, determine whether and frequency =3 BPM (2) amplitude = 10 and fundamental period = 0.005 seconds. Answer. (1) since 3 BPM = 180 Hz

  13. Identifying Savings Opportunities

    E-Print Network [OSTI]

    Chari, S.

    In this paper, guidelines for identifying energy savings opportunities in industrial plants are discussed. The analytical approach used in this discussion stems from the fundamental principle that the total energy into and out of any process...

  14. Metal alloy identifier

    DOE Patents [OSTI]

    Riley, William D. (Avondale, MD); Brown, Jr., Robert D. (Avondale, MD)

    1987-01-01T23:59:59.000Z

    To identify the composition of a metal alloy, sparks generated from the alloy are optically observed and spectrographically analyzed. The spectrographic data, in the form of a full-spectrum plot of intensity versus wavelength, provide the "signature" of the metal alloy. This signature can be compared with similar plots for alloys of known composition to establish the unknown composition by a positive match with a known alloy. An alternative method is to form intensity ratios for pairs of predetermined wavelengths within the observed spectrum and to then compare the values of such ratios with similar values for known alloy compositions, thereby to positively identify the unknown alloy composition.

  15. Identifying Classified Information

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2014-06-03T23:59:59.000Z

    The Order establishes the program to identify information classified under the Atomic Energy Act [Restricted Data (RD), Formerly Restricted Data (FRD), and Transclassified Foreign Nuclear Information (TFNI)]or Executive Order (E.O.) 13526 [National Security Information (NSI)], so that it can be protected against unauthorized dissemination.

  16. Identifying Classified Information

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2007-08-28T23:59:59.000Z

    The Order establishes the program to identify information classified under the Atomic Energy Act [Restricted Data (RD) and Formerly Restricted Data (FRD)] or Executive Order 12958, as amended [National Security Information (NSI)], so that it can be protected against unauthorized dissemination. Canceled by DOE O 475.2

  17. Identifying Classified Information

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2014-10-03T23:59:59.000Z

    To establish the program to identify information classified under the Atomic Energy Act [Restricted Data (RD), Formerly Restricted Data (FRD), and Transclassified Foreign Nuclear Information (TFNI)] or Executive Order (E.O.) 13526 [National Security Information (NSI)], so that it can be protected against unauthorized dissemination.

  18. > REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 1 The Utilization of Satellite Images to Identify

    E-Print Network [OSTI]

    The Utilization of Satellite Images to Identify Trees Endangering Transmission Lines Y. Kobayashi, G. G. Karady, G to determine tree interference with overhead transmission lines. Index Terms-- satellite images, tree trimming a transmission lines may inter- fere with circuit operation and may produce short cir- cuits. As a typical

  19. Identifying Classified Information

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2001-02-26T23:59:59.000Z

    This Manual provides requirements for managing the Department of Energy (DOE) classification and declassification program, including details for classifying and declassifying information, documents, and material. This Manual also supplements DOE O 200.1, INFORMATION MANAGEMENT PROGRAM, which combines broad information management topics under a single Order. Specific requirements for each topic are issued in separate Manuals. Cancels DOE M 475.1-1. Canceled by DOE M 475.1-1B

  20. Genome-scale RNAi on living-cell microarrays identifies novel regulators of Drosophila melanogaster TORC1–S6K pathway signaling

    E-Print Network [OSTI]

    Lindquist, Robert A.

    The evolutionarily conserved target of rapamycin complex 1 (TORC1) controls cell growth in response to nutrient availability and growth factors. TORC1 signaling is hyperactive in cancer, and regulators of TORC1 signaling ...

  1. Genome sequencing of the Trichoderma reesei QM9136 mutant identifies a truncation of the transcriptional regulator XYR1 as the cause for its cellulase-negative phenotype

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Lichius, Alexander [Vienna Univ. of Technology, Vienna (Austria); Bidard, Frédérique [IFP Energies Nouvelles, Rueil-Malmaison (France); Buchholz, Franziska [Vienna Univ. of Technology, Vienna (Austria); Le Crom, Stéphane [Sorbonne Univ., Paris (France); Martin, Joel [Joint Genome Inst., Walnut Creek, CA (United States). US Dept. of Energy.; Schackwitz, Wendy [Joint Genome Inst., Walnut Creek, CA (United States). US Dept. of Energy.; Austerlitz, Tina [Vienna Univ. of Technology, Vienna (Austria); Grigoriev, Igor V [Joint Genome Inst., Walnut Creek, CA (United States). US Dept. of Energy.; Baker, Scott E [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Margeot, Antoine [IFP Energies Nouvelles, Rueil-Malmaison (France); Seiboth, Bernhard [Vienna Univ. of Technology, Vienna (Austria); Kubicek, Christian P [Vienna Univ. of Technology, Vienna (Austria)

    2015-12-01T23:59:59.000Z

    Trichoderma reesei is the main industrial source of cellulases and hemicellulases required for the hydrolysis of biomass to simple sugars, which can then be used in the production of biofuels and biorefineries. The highly productive strains in use today were generated by classical mutagenesis. As byproducts of this procedure, mutants were generated that turned out to be unable to produce cellulases. In order to identify the mutations responsible for this inability, we sequenced the genome of one of these strains, QM9136, and compared it to that of its progenitor T. reesei QM6a.

  2. Identifying and Protecting Official Use Only Information

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2003-04-09T23:59:59.000Z

    The order establishes a program within DOE and NNSA to identify certain unclassified controlled information as Official Use Only (OUO) and to identify, mark, and protect documents containing such information. Chg 1 dated 1-12-11, cancels DOE O 471.3.

  3. Integrated cistromic and expression analysis of amplified NKX2-1 in lung adenocarcinoma identifies LMO3 as a functional transcriptional target

    E-Print Network [OSTI]

    Watanabe, Hideo

    The NKX2-1 transcription factor, a regulator of normal lung development, is the most significantly amplified gene in human lung adenocarcinoma. To study the transcriptional impact of NKX2-1 amplification, we generated an ...

  4. Identifying Effective School Principals

    E-Print Network [OSTI]

    Fernandez, Kandyce; Flores, Santa; Huang, Emily; Igwe, Carolyn; McDonald, Leslie; Stroud, Ryan; Willis, Rebecca; Dugat, Amber

    2007-01-01T23:59:59.000Z

    based on standardized testing has been in place in Texas for many years. Gronberg, Jansen, Taylor, & Booker (2004, 1) write, ?Texas has been at the forefront of the transition from process or input-based evaluation of schools to outcome... or school demographics. Like SAT and ACT scores, dropout rates are also only relevant at the high school level. While dropout rates would be useful as a measure of school completion rates, Gronberg et al. (2004) found dropout reports to be unreliable...

  5. Candidate locus analysis of the TERT–CLPTM1L cancer risk region on chromosome 5p15 identifies multiple independent variants associated with endometrial cancer risk

    E-Print Network [OSTI]

    Carvajal-Carmona, Luis G; O’Mara, Tracy A; Painter, Jodie N; Lose, Felicity A; Dennis, Joe; Michailidou, Kyriaki; Tyrer, Jonathan P; Ahmed, Shahana; Ferguson, Kaltin; Healey, Catherine S; Pooley, Karen; Beesley, Jonathan; Cheng, Timothy; Jones, Angela; Howarth, Kimberley; Martin, Lynn; Gorman, Maggie; Hodgson, Shirley; National Study of Endometrial Cancer Genetics Group (NSECG); The Australian National Endometrial Cancer Study Group (ANECS); Wentzensen, Nicholas; Fasching, Peter A; Hein, Alexander; Beckmann, Matthias W; Renner, Stefan P; Dörk, Thilo; Hillemanns, Peter; Dürst, Matthias; Runnebaum, Ingo; Lambrechts, Diether; Coenegrachts, Lieve; Schrauwen, Stefanie; Amant, Frederic; Winterhoff, Boris; Dowdy, Sean C; Goode, Elen L; Teoman, Attila; Salvesen, Helga B; Trovik, Jone; Njolstad, Tormund S; Werner, Henrica MJ; Scott, Rodney J; Ashton, Katie; Proietto, Tony; Otton, Geoffrey; Tzortzatos, Gerasimos; Mints, Miriam; Tham, Emma; RENDOCAS; Hall, Per; Czene, Kamila; Liu, Jianjun; Li, Jingmei; Hopper, John L; Southey, Melissa C; Australian Ovarian Cancer Study (AOCS); Ekici, Arif B; Ruebner, Matthias; Johnson, Nichola; Peto, Julian; Burwinkel, Barbara; Marme, Frederik; Brenner, Hermann; Dieffenbach, Aida K; Meindl, Alfons; Brauch, Hiltrud; The GENICA Network; Lindblom, Annika; Depreeuw, Jeroen; Moisse, Matthieu; Chang-Claude, Jenny; Rudolph, Anja; Couch, Fergus J.; Olson, Janet E; Giles, Graham G; Bruinsma, Fiona; Cunningham, Julie M; Fridley, Brooke L; Børresen-Dale, Anne-Lise; Kristensen, Vessela N; Cox, Angela; Swerdlow, Anthony; Orr, Nicholas; Bolla, Manjeet K; Wang, Qin; Weber, Rachel Palmieri; Chen, Zhihua; Shah, Mitul; Pharoah, Paul D P; Dunning, Alison M; Tomlinson, Ian; Easton, Douglas F; Spurdle, Amanda B; Thompson, Deborah J

    2014-12-09T23:59:59.000Z

    intron 1), and this SNP has been shown to alter TERT pro- moter activity. One of the novel associations (rs13174814) maps to a second region in the TERT promoter and the other (rs62329728) is in the promoter region of CLPTM1L; nei- ther are correlated...

  6. Digital Object Identifiers

    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 FermiDavidDiesel pricesDiesel prices70thPrototypingFind

  7. Chemicals identified in feral and food animals: a data base. First annual report, October 1981. Volume I. Records 1-532

    SciTech Connect (OSTI)

    Cone, M.V.; Faust, R.A.; Baldauf, M.F. (comps.)

    1981-12-01T23:59:59.000Z

    This data file is a companion to Chemicals Identified in Human Biological Media, A Data Base, and follows basically the same format. The data base on human burden is in its third year of publication. This is the first annual report for the feral and food animal file. Data were obtained primarily from the open literature through manual searches (retrospective to 1979) of the journals listed in Appendix A. The data base now contains information on 60 different substances. Chemicals are listed by Chemical Abstracts Service (CAS) registry numbers and preferred names in Appendix B. For the user's convenience, cross-referenced chemical lists of CAS preferred and common names are provided in Appendix C. The animals, tissues, and body fluids found to be contaminated by these chemicals are listed in Appendix D. The data base is published annually in tabular format with indices and chemical listings that allow specific searching. A limited number of custom computer searches of the data base are available in special cases when the published format does not allow for retrieval of needed information.

  8. Guide to Identifying Official Use Only Information

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2003-04-09T23:59:59.000Z

    This Guide supplements information contained in Department of Energy (DOE) O 471.3, Identifying and Protecting Official Use Only Information, dated 4-9-03, and DOE M 471.3-1, Manual for Identifying and Protecting Official Use Only Information, dated 4-9-03.

  9. Here is a summary of the project guidelines and how points will be assigned. (1) Operational Definition. Identify a health behavior that you would like to

    E-Print Network [OSTI]

    Meagher, Mary

    Here is a summary of the project guidelines and how points will be assigned. (1) Operational and veggies, decrease smoking, flossing, etc.). You will need to be able to measure this behavior, therefore to support the new target behavior during the intervention phase. (25 pts) (4) BASELINE MEASUREMENT PHASE

  10. > REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 1 Abstract--This paper presents a method to identify failures in

    E-Print Network [OSTI]

    Hadjicostis, Christoforos

    integration with automated analysis of the event data provided at various substations. The infrastructure at the substation by intelligent electronic devices (IEDs) [1]. This vision of power systems allows the implementation of new network management strategies in order to reduce costs by applying Demand Side Management

  11. Geographic information system for Long Island: An epidemiologic systems approach to identify environmental breast cancer risks on Long Island. Phase 1

    SciTech Connect (OSTI)

    Barancik, J.I.; Kramer, C.F.; Thode, H.C. Jr.

    1995-12-01T23:59:59.000Z

    BNL is developing and implementing the project ``Geographic Information System (GIS) for Long Island`` to address the potential relationship of environmental and occupational exposures to breast cancer etiology on Long Island. The project is divided into two major phases: The four month-feasibility project (Phase 1), and the major development and implementation project (Phase 2). This report summarizes the work completed in the four month Phase 1 Project, ``Feasibility of a Geographic Information System for Long Island.`` It provides the baseline information needed to further define and prioritize the scope of work for subsequent tasks. Phase 2 will build upon this foundation to develop an operational GIS for the Long Island Breast Cancer Study Project (LIBCSP).

  12. The Structure and Function of an Arabinan-specific [alpha]-1,2-Arabinofuranosidase Identified from Screening the Activities of Bacterial GH43 Glycoside Hydrolases

    SciTech Connect (OSTI)

    Cartmell, Alan; McKee, Lauren S.; Pena, Maria J.; Larsbrink, Johan; Brumer, Harry; Kaneko, Satoshi; Ichinose, Hitomi; Lewis, Richard J.; Vikso-Nielsen, Anders; Gilbert, Harry; Marles-Wright, Jon (Newcastle); (National Food Research Institute); (Novozymes A/S); (RITS); (Georgia)

    2012-03-26T23:59:59.000Z

    Reflecting the diverse chemistry of plant cell walls, microorganisms that degrade these composite structures synthesize an array of glycoside hydrolases. These enzymes are organized into sequence-, mechanism-, and structure-based families. Genomic data have shown that several organisms that degrade the plant cell wall contain a large number of genes encoding family 43 (GH43) glycoside hydrolases. Here we report the biochemical properties of the GH43 enzymes of a saprophytic soil bacterium, Cellvibrio japonicus, and a human colonic symbiont, Bacteroides thetaiotaomicron. The data show that C. japonicus uses predominantly exo-acting enzymes to degrade arabinan into arabinose, whereas B. thetaiotaomicron deploys a combination of endo- and side chain-cleaving glycoside hydrolases. Both organisms, however, utilize an arabinan-specific {alpha}-1,2-arabinofuranosidase in the degradative process, an activity that has not previously been reported. The enzyme can cleave {alpha}-1,2-arabinofuranose decorations in single or double substitutions, the latter being recalcitrant to the action of other arabinofuranosidases. The crystal structure of the C. japonicus arabinan-specific {alpha}-1,2-arabinofuranosidase, CjAbf43A, displays a five-bladed {beta}-propeller fold. The specificity of the enzyme for arabinan is conferred by a surface cleft that is complementary to the helical backbone of the polysaccharide. The specificity of CjAbf43A for {alpha}-1,2-L-arabinofuranose side chains is conferred by a polar residue that orientates the arabinan backbone such that O2 arabinose decorations are directed into the active site pocket. A shelflike structure adjacent to the active site pocket accommodates O3 arabinose side chains, explaining how the enzyme can target O2 linkages that are components of single or double substitutions.

  13. LHS 2803B: A VERY WIDE MID-T DWARF COMPANION TO AN OLD M DWARF IDENTIFIED FROM PAN-STARRS1

    SciTech Connect (OSTI)

    Deacon, Niall R. [Max Planck Institute for Astronomy, Koenigstuhl 17, D-69117 Heidelberg (Germany); Liu, Michael C.; Magnier, Eugene A.; Bowler, Brendan P.; Mann, Andrew W.; Burgett, William S.; Chambers, Ken C.; Kaiser, Nick; Kudritzki, Rolf-Peter; Morgan, Jeff S.; Tonry, John L.; Wainscoat, Richard J. [Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, HI 96822 (United States); Redstone, Joshua A. [Facebook, 1601 Willow Road, Menlo Park, CA 94025 (United States); Hodapp, Klaus W. [Institute for Astronomy, University of Hawaii, 640 North Aohoku Place, Hilo, HI 96720 (United States); Price, Paul A., E-mail: deacon@mpia.de [Princeton University Observatory, 4 Ivy Lane, Peyton Hall, Princeton University, Princeton, NJ 08544 (United States)

    2012-09-20T23:59:59.000Z

    We report the discovery of a wide ({approx}1400 AU projected separation), common proper motion companion to the nearby M dwarf LHS 2803 (PSO J207.0300-13.7422). This object was discovered during our census of the local T dwarf population using Pan-STARRS1 and Two Micron All Sky Survey data. Using the Infrared Telescope Facility/SpeX near-infrared spectroscopy, we classify the secondary to be spectral type T5.5. University of Hawaii 2.2 m/SuperNova Integral Field Spectrograph optical spectroscopy indicates that the primary has a spectral type of M4.5, with approximately solar metallicity and no measurable H{alpha} emission. We use this lack of activity to set a lower age limit for the system of 3.5 Gyr. Using a comparison with chance alignments of brown dwarfs and nearby stars, we conclude that the two objects are unlikely to be a chance association. The primary's photometric distance of 21 pc and its proper motion implies thin disk kinematics. Based on these kinematics and its metallicity, we set an upper age limit for the system of 10 Gyr. Evolutionary model calculations suggest that the secondary has a mass of 72{+-}{sup 4}{sub 7} M{sub Jup}, temperature of 1120 {+-} 80 K, and log g = 5.4 {+-} 0.1 dex. Model atmosphere fitting to the near-IR spectrum gives similar physical parameters of 1100 K and log g = 5.0.

  14. CCPPolicyBriefing Identifying Fuel

    E-Print Network [OSTI]

    Feigon, Brooke

    CCPPolicyBriefing June 2007 Identifying Fuel Poverty Using Objective and Subjective Measures W: www.ccp.uea.ac.uk T: +44 (0)1603 593715 A: UEA, Norwich, NR4 7TJ Identifying Fuel Poverty Using Objective and Subjective Measures BACKGROUND · The government defines fuel poverty as occurring when a household needs

  15. Identifying Energy Systems that Maximize Cogeneration Savings

    E-Print Network [OSTI]

    Ahner, D. J.

    Ies whIch have Inherent constraInts or lImItatIons In meetIng these objectIves should be e11mlnated as opt10ns. Under such var1able condItIons Independent systems have slgnlf1cant advantage due to the1 r Inherent flexlb111ty 1n matchIng wIde var1at10...IDENTIFYING ENERGY SYSTEMS THAT MAXIMIZE COGENERATION SAVINGS DAVID J. AHNER Manager Systems Eng1neer1ng Schenectady. New York ABSTRACT Th1s paper d1scusses the max1m1z1ng of Reg10nal cogenerat10n Energy Sav1ngs ut1l1z1ng var10us...

  16. Call Identifier: CIP-IEE-2009

    E-Print Network [OSTI]

    De Cindio, Fiorella

    ://ec.europa.eu/intelligentenergy #12;Intelligent Energy ­ Europe Call for Proposals 2009 2/17 CALL FOR PROPOSALS 2009 FOR ACTIONS UNDER THE PROGRAMME "INTELLIGENT ENERGY ­ EUROPE" Call Identifier: CIP-IEE-2009 TABLE OF CONTENTS 1. THE INTELLIGENT ENERGY ­ EUROPE PROGRAMME 3 2. BUDGET, FUNDING RATES AND ELIGIBILITY OF COSTS 5 3. ELIGIBILITY CRITERIA 5

  17. Identifying Microbially Influenced Corrosion in Paper

    E-Print Network [OSTI]

    Das, Suman

    1 Identifying Microbially Influenced Corrosion in Paper Machines and elsewhere Sandy Sharp, SharpConsultant, Columbia, MD, USA Symposium on Corrosion in Pulp and Paper Mills and Biorefineries, Georgia Tech., November (floating in solution) do not cause corrosion, but Sessile bacteria (attached to metal surfaces) can

  18. 3740SPACE REPURPOSING PROCEDURE Client identifies

    E-Print Network [OSTI]

    Page 1 3740SPACE REPURPOSING PROCEDURE Client identifies space repurposing requirement Client completes space request form Submit space request form to Space Management Office Space Management Office acknowledge reciept Is space form completed accurately Space Management Office conduct space analysis Does

  19. 1

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

    damage or disruption that threatens or compromises site health and safety, security, integrity, or compliance with 40 CFR 192. No emergency measures were identified. 1.7...

  20. Identify Potential HITs | Department of Energy

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

    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 742Energy ChinaofSchaefer To:Department ofOralGovernmentStandardsIdahoby GOURLEY, PAULforIdentify

  1. The role of the school social worker in family involvement as identified by family specialists and parents in selected title 1 schools in north east independent school district in san antonio, texas 

    E-Print Network [OSTI]

    Canada, Gloria Lou

    2009-05-15T23:59:59.000Z

    This study examined the influence of social workers placed at the elementary school level, who work with low-socioeconomic families. The intent of the study was to examine the role of the social worker, at identified Title ...

  2. Identify Institutional Change Tools for Sustainability

    Broader source: Energy.gov [DOE]

    After identifying institutional change rules and roles, a Federal agency should identify the tools that create the infrastructural context within which it can achieve its sustainability goals.

  3. Notice of Intent to Revise DOE O 475.2A, Identifying Classified Information

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2014-03-06T23:59:59.000Z

    The revision will incorporate changes that were identified during the 1-year review after initial issuance

  4. Identifying and Protecting Official Use Only Information

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2003-04-09T23:59:59.000Z

    To establish a program within the Department of Energy (DOE), including the National Nuclear Security Administration (NNSA), to identify certain unclassified controlled information as Official Use Only (OUO) and to identify, mark, and protect documents containing such information.

  5. Method of identifying plant pathogen tolerance

    DOE Patents [OSTI]

    Ecker, J.R.; Staskawicz, B.J.; Bent, A.F.; Innes, R.W.

    1997-10-07T23:59:59.000Z

    A process for identifying a plant having disease tolerance comprising administering to a plant an inhibitory amount of ethylene and screening for ethylene insensitivity, thereby identifying a disease tolerant plant, is described. Plants identified by the foregoing process are also described. 7 figs.

  6. Manual for Identifying and Protecting Official Use Only Information

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2003-04-09T23:59:59.000Z

    This Department of Energy (DOE) Manual provides detailed requirements to supplement DOE O 471.3, Identifying and Protecting Official Use Only Information, dated 4-9-03. Admin Chg dated 1-13-11.

  7. Coupling Groundwater Modeling with Biology to Identify Strategic Water Resources

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Coupling Groundwater Modeling with Biology to Identify Strategic Water Resources Didier Graillot 1 ABSTRACT The identification of hydraulic interactions between rivers and groundwater is part and parcel hinders groundwater modeling everywhere and simulating water management scenarios in every place

  8. Identifying Security Fault Reports via Text Mining Michael Gegick, 2

    E-Print Network [OSTI]

    Young, R. Michael

    Identifying Security Fault Reports via Text Mining 1 Michael Gegick, 2 Pete Rotella, 1 Tao Xie 1 contains fault reports (FRs) collected from various sources such as development teams, test teams, and end-users. Software or security engineers manually analyze the FRs to label the subset of FRs that are security fault

  9. Solid tags for identifying failed reactor components

    DOE Patents [OSTI]

    Bunch, Wilbur L. (Richland, WA); Schenter, Robert E. (Richland, WA)

    1987-01-01T23:59:59.000Z

    A solid tag material which generates stable detectable, identifiable, and measurable isotopic gases on exposure to a neutron flux to be placed in a nuclear reactor component, particularly a fuel element, in order to identify the reactor component in event of its failure. Several tag materials consisting of salts which generate a multiplicity of gaseous isotopes in predetermined ratios are used to identify different reactor components.

  10. National Renewable Energy Laboratory Report Identifies Research...

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

    Laboratory (NREL) identifies research opportunities to improve the ways in which wholesale electricity markets are designed, with a focus on how the characteristics of...

  11. Identifying Transition State Features of Enzymatic Conformational...

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

    Identifying Transition State Features of Enzymatic Conformational Cycles Thursday, January 5, 2012 - 11:00am SSRL Conference Room 137-322 Dr. Dimitar Pachov, HHMI Research...

  12. High-density mapping of the MHC identifies a shared role for HLA-DRB1*01:03 in inflammatory bowel diseases and heterozygous advantage in ulcerative colitis

    E-Print Network [OSTI]

    Goyette, Philippe; Boucher, Gabrielle; Dermot, Mallon; Ellinghaus, Eva; Jostins, Luke; Huang, Hailiang; Ripke, Stephan; Gusareva, Elena S; Annese, Vito; Hauser, Stephen L.; Oksenberg, Jorge R.; Thomsen, Ingo; Leslie, Stephen; International Inflammatory Bowel Disease Genetics Consortium; Daly, Mark J.; Van Steen, Kristel; Duerr, Richard H.; Barrett, Jeffrey C.; McGovern, Dermot P. B.; Schumm, L. Philip; Traherne, James A.; Carrington, Mary N.; Kosmoliaptsis, Vasilis; Karlsen, Tom H.; Franke, Andre; Rioux, John D.

    2015-01-05T23:59:59.000Z

    Ippoliti7, Laimas Jonaitis50, Luke Jostins1, Tom H Karlsen49,Gediminas Kiudelis50, Limas Kupcinskas50, Subra Kugathasan51, Anna Latiano52, Debby Laukens53, Ian C Lawrance54, James C Lee10, Charlie W Lees55, Paolo Lionetti96, Jimmy Z Liu1, Edouard Louis18...

  13. Identifying Wind and Solar Ramping Events: Preprint

    SciTech Connect (OSTI)

    Florita, A.; Hodge, B. M.; Orwig, K.

    2013-01-01T23:59:59.000Z

    Wind and solar power are playing an increasing role in the electrical grid, but their inherent power variability can augment uncertainties in power system operations. One solution to help mitigate the impacts and provide more flexibility is enhanced wind and solar power forecasting; however, its relative utility is also uncertain. Within the variability of solar and wind power, repercussions from large ramping events are of primary concern. At the same time, there is no clear definition of what constitutes a ramping event, with various criteria used in different operational areas. Here the Swinging Door Algorithm, originally used for data compression in trend logging, is applied to identify variable generation ramping events from historic operational data. The identification of ramps in a simple and automated fashion is a critical task that feeds into a larger work of 1) defining novel metrics for wind and solar power forecasting that attempt to capture the true impact of forecast errors on system operations and economics, and 2) informing various power system models in a data-driven manner for superior exploratory simulation research. Both allow inference on sensitivities and meaningful correlations, as well as the ability to quantify the value of probabilistic approaches for future use in practice.

  14. absorption spectroscopy identifies: Topics by E-print Network

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

    absorption spectroscopy identifies First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Relic Neutrino...

  15. Sampling Plan: Engineering Sampling Plan to Identify Areas for Remediation in the Southeast Drainage (Vicinity Properties DA-4 and DOC-7) Addendum 1. DOE/OR/21548-582

    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 ;;;:: A'Salmon, Mississippi,

  16. Stabilization of Progesterone Receptor A and B isoforms by antiprogestin RU486 Identifies p38 and1 p42/44 MAPKs as Critical Regulators of PRA/PRB Ratio2

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 p42/44 MAPKs as Critical Regulators of PRA/PRB Ratio2 3 Abbreviated Title: Distinct MAPKs regulate PRA and PRB stability4 Precis: p38 and p42/44 MAPK stabilize PRA and PRB isoforms in a ligand: PR, progesterone receptor; PRA, progesterone receptor isoform A; PRB, progesterone27 receptor isoform

  17. Author's personal copy Identifying general laboratory

    E-Print Network [OSTI]

    Pawlowski, Wojtek

    three operating conditions are met: volatile chemical sources are controlled by local ventilation or localized exhaust points. In labora- tories, general ventilation is intended to control small sourcesAuthor's personal copy FEATURE Identifying general laboratory ventilation requirements using

  18. Identifying Opportunities for Industrial Energy Conservation

    E-Print Network [OSTI]

    Hoffman, A. R.

    1981-01-01T23:59:59.000Z

    The Energy Productivity Center of the Mellon Institute is engaged in a 2-year study to identify opportunities for improved U.S. industrial energy productivity. A distinguishing feature is the focus on energy services provided when fuels are consumed...

  19. IDENTIFYING CANDIDATE PROTEIN FOR REMOVAL OF ENVIRONMENTALLY

    E-Print Network [OSTI]

    Uppsala Universitet

    IDENTIFYING CANDIDATE PROTEIN FOR REMOVAL OF ENVIRONMENTALLY HAZARDOUS SUBSTANCES Pharem Biotech products and technologies for removing environmental hazardous substances in our everyday life. The products can be applied in areas from the private customer up to the global corporate perspective

  20. Identifying chromatin interactions at high spatial resolution

    E-Print Network [OSTI]

    Reeder, Christopher Campbell

    2014-01-01T23:59:59.000Z

    This thesis presents two computational approaches for identifying chromatin interactions at high spatial resolution from ChIA-PET data. We introduce SPROUT which is a hierarchical probabilistic model that discovers high ...

  1. Identifying Energy Systems that Maximize Cogeneration Savings 

    E-Print Network [OSTI]

    Ahner, D. J.

    1988-01-01T23:59:59.000Z

    energy eff1c1ency n1. 1s a From equat10ns (3) - (7). max1mum energy funct10n of the power heat rate HR c 1 for th1s value, V, 1s atta1ned when: technology conf1gurat10n. Other conf1gurat10ns may result 1n FC1h1 ~ FCuHR u ~~ (7) 1ndependence between... rate technolog1es and 1s a funct10n of the s1ze and akw1 at s1te 1 conf1gurat10n of the cogen plant. The process steam heat rate HR p 1' depends on the process Independent systems have the des1gn and steam cond1t10n requ1red. operat1ng capab111ty...

  2. Lithium Ethylene Dicarbonate Identified as the Primary Product ofChemical and Electrochemical Reduction of EC in EC:EMC/1.2M LiPF6Electrolyte

    SciTech Connect (OSTI)

    Zhuang, Guorong V.; Xu, Kang; Yang, Hui; Jow, T. Richard; RossJr., Philip N.

    2005-05-11T23:59:59.000Z

    Lithium ethylene dicarbonate (CH2OCO2Li)2 was chemically synthesized and its Fourier Transform Infrared (FTIR) spectrum was obtained and compared with that of surface films formed on Ni after cyclic voltammetry (CV) in 1.2M lithium hexafluorophosphate(LiPF6)/ethylene carbonate (EC): ethyl methyl carbonate (EMC) (3:7, w/w) electrolyte and on metallic lithium cleaved in-situ in the same electrolyte. By comparison of IR experimental spectra with that of the synthesized compound, we established that the title compound is the predominant surface species in both instances. Detailed analysis of the IR spectrum utilizing quantum chemical (Hartree-Fock) calculations indicates that intermolecular association through O...Li...O interactions is very important in this compound. It is likely that the title compound in passivation layer has a highly associated structure, but the exact intermolecular conformation could not be established based on analysis of the IR spectrum.

  3. Identify Institutional Change Roles for Sustainability

    Broader source: Energy.gov [DOE]

    To achieve the sustainability goals you've identified, take into account the network of roles essential to make or maintain the desired changes. As a rule of thumb, it may help to think about what roles are necessary for determining what changes to make, implementing those changes, and supporting or abiding by those changes. One place to start is by identifying leaders in your organization who have the authority, resources, and influence to make change happen. Those leadership roles typically include: Senior management Policy and technology officers Facilities and operations managers.

  4. 3739SPACE ALLOCATION/RE-ALLOCATION PROCEDURE Client identifies

    E-Print Network [OSTI]

    Page 1 3739SPACE ALLOCATION/RE-ALLOCATION PROCEDURE Client identifies space requirement Client completes space request form Submit space request form to Space Management Office Space Management Office acknowledge receipt Is space form completed accurately Is there vacant space Space Management Office conduct

  5. Identifying Relevant Databases for Multidatabase Mining

    E-Print Network [OSTI]

    Liu, Huan

    Identifying Relevant Databases for Multidatabase Mining Huan Liu, Hongjun Lu, Jun Yao Department,luhj,yaojung@iscs.nus.edu.sg Abstract. Various tools and systems for knowledge discovery and data mining are developed and available is where we should start mining. In this paper, breaking away from the conventional data mining assumption

  6. Exam Preparation Identifying Levels of Learning

    E-Print Network [OSTI]

    , proposed a six-level model of learning, with each level requiring a different type of cognitive processingSee over Exam Preparation Identifying Levels of Learning When you are preparing for an exam, understand, apply, analyze, evaluate, and create. Understanding these levels and the types of exam questions

  7. Identifying Lights with their Switches Jayadev Misra

    E-Print Network [OSTI]

    Misra, Jayadev

    Identifying Lights with their Switches Jayadev Misra 09/07/2012 Problem Description Given are N switches and N lights where each switch controls exactly one light and each light is controlled by exactly of selecting some number of switches and turning them on, and, presumably, noting the lights that come

  8. Embedded sensor having an identifiable orientation

    DOE Patents [OSTI]

    Bennett, Thomas E. (31 Portola Ct., Danville, CA 94506); Nelson, Drew V. (840 Cabot Ct., San Carlos, CA 94070)

    2002-01-01T23:59:59.000Z

    An apparatus and method is described wherein a sensor, such as a mechanical strain sensor, embedded in a fiber core, is "flagged" to identify a preferred orientation of the sensor. The identifying "flag" is a composite material, comprising a plurality of non-woven filaments distributed in a resin matrix, forming a small planar tab. The fiber is first subjected to a stimulus to identify the orientation providing the desired signal response, and then sandwiched between first and second layers of the composite material. The fiber, and therefore, the sensor orientation is thereby captured and fixed in place. The process for achieving the oriented fiber includes, after identifying the fiber orientation, carefully laying the oriented fiber onto the first layer of composite, moderately heating the assembled layer for a short period in order to bring the composite resin to a "tacky" state, heating the second composite layer as the first, and assembling the two layers together such that they merge to form a single consolidated block. The consolidated block achieving a roughly uniform distribution of composite filaments near the embedded fiber such that excess resin is prevented from "pooling" around the periphery of the fiber.

  9. Identify the Problem: Reduce Waste By

    E-Print Network [OSTI]

    Iglesia, Enrique

    aims to reduce waste by banning plastic bags in light of the California state law AB 2449 which Primary energy Plastic uses 23% less Paper uses 80% less Solid waste Plastic contributes 76% less AbioticIdentify the Problem: Reduce Waste By Banning Plastic Bag Use Define Goal: Is the ban the most

  10. H-1 Nuclear Magnetic Resonance Metabolomics Analysis Identifies...

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

    limitation, is a serious and growing public health concern. The major environmental risk factor for COPD is tobacco smoking, but the biological mechanisms underlying COPD are...

  11. IDENTIFYING ACTIVITY? 1. First-Order Conditions for Composite ...

    E-Print Network [OSTI]

    2010-12-06T23:59:59.000Z

    Dec 6, 2010 ... which is a nonlinear system of n + p + | ¯J| equations for the vector (x, ..... tion ?max on the Euclidean space Sk of k-by-k symmetric matrices (with the inner ..... [

  12. Part 1 Identify yourself (mandatory) Student Number: _______________________Queen's Email: ________________________________________

    E-Print Network [OSTI]

    Ellis, Randy

    First Name Initial Part 2 ­ Setup Pre-Authorized Payment Plan (PPL) · This method of Payment: ________________________________________________________ Pre-Authorized Payment Plan (PPL) (SGS Students Only) The personal information on this form

  13. Part 1 Identify yourself (mandatory) Student Number: _______________________Queen's Email: ________________________________________

    E-Print Network [OSTI]

    Abolmaesumi, Purang

    for the PPL and deposits for awards will use the same bank account). · Any changes to payroll banking

  14. Photo of the Week: Identifying and Protecting Alaskan Fishery Habitats |

    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 1,613 122Commercial602 1,39732onMakeEducationRemediationDepartment of Energy Identifying

  15. Consistent nonlinear dynamics: identifying model inadequacy

    E-Print Network [OSTI]

    Patrick E. McSharry; Leonard A. Smith

    2004-03-09T23:59:59.000Z

    Empirical modelling often aims for the simplest model consistent with the data. A new technique is presented which quantifies the consistency of the model dynamics as a function of location in state space. As is well-known, traditional statistics of nonlinear models like root-mean-square (RMS) forecast error can prove misleading. Testing consistency is shown to overcome some of the deficiencies of RMS error, both within the perfect model scenario and when applied to data from several physical systems using previously published models. In particular, testing for consistent nonlinear dynamics provides insight towards (i) identifying when a delay reconstruction fails to be an embedding, (ii) allowing state dependent model selection and (iii) optimising local neighbourhood size. It also provides a more relevant (state dependent) threshold for identifying false nearest neighbours.

  16. Guidelines for identifying suspect/counterfeit material

    SciTech Connect (OSTI)

    NONE

    1995-09-01T23:59:59.000Z

    These guidelines are intended to assist users of products in identifying: substandard, misrepresented, or fraudulently marked items. The guidelines provide information about such topics as: precautions, inspection and testing, dispositioning identified items, installed inspection and reporting suspect/counterfeit materials. These guidelines apply to users who are developing procurement documents, product acceptance/verification methods, company procedures, work instructions, etc. The intent of these SM guidelines in relation to the Quality Assurance Program Description (QAPD) and implementing company Management Control Procedures is not to substitute or replace existing requirements, as defined in either the QAPD or company implementing instructions (Management Control Procedures). Instead, the guidelines are intended to provide a consolidated source of information addressing the issue of Suspect/Counterfeit materials. These guidelines provide an extensive suspect component listing and suspect indications listing. Users can quickly check their suspect items against the list of manufacturers products (i.e., type, LD. number, and nameplate information) by consulting either of these listings.

  17. Diffraction gratings used as identifying markers

    DOE Patents [OSTI]

    Deason, V.A.; Ward, M.B.

    1991-03-26T23:59:59.000Z

    A finely detailed diffraction grating is applied to an object as an identifier or tag which is unambiguous, difficult to duplicate, or remove and transfer to another item, and can be read and compared with prior readings with relative ease. The exact pattern of the diffraction grating is mapped by diffraction moire techniques and recorded for comparison with future readings of the same grating. 7 figures.

  18. Interrogator system for identifying electrical circuits

    DOE Patents [OSTI]

    Jatko, W.B.; McNeilly, D.R.

    1988-04-12T23:59:59.000Z

    A system for interrogating electrical leads to correctly ascertain the identity of equipment attached to remote ends of the leads is disclosed. The system includes a source of a carrier signal generated in a controller/receiver to be sent over the leads and an identifier unit at the equipment. The identifier is activated by command of the carrier and uses a portion of the carrier to produce a supply voltage. Each identifier is uniquely programmed for a specific piece of equipment, and causes the impedance of the circuit to be modified whereby the carrier signal is modulated according to that program. The modulation can be amplitude, frequency or phase modulation. A demodulator in the controller/receiver analyzes the modulated carrier signal, and if a verified signal is recognized displays and/or records the information. This information can be utilized in a computer system to prepare a wiring diagram of the electrical equipment attached to specific leads. Specific circuit values are given for amplitude modulation, and the system is particularly described for use with thermocouples. 6 figs.

  19. Interrogator system for identifying electrical circuits

    DOE Patents [OSTI]

    Jatko, William B. (10601 Rivermist La., Knoxville, TN 37922); McNeilly, David R. (Rte. 12, Box 538, Maryville, TN 37801)

    1988-01-01T23:59:59.000Z

    A system for interrogating electrical leads to correctly ascertain the identity of equipment attached to remote ends of the leads. The system includes a source of a carrier signal generated in a controller/receiver to be sent over the leads and an identifier unit at the equipment. The identifier is activated by command of the carrier and uses a portion of the carrier to produce a supply voltage. Each identifier is uniquely programmed for a specific piece of equipment, and causes the impedance of the circuit to be modified whereby the carrier signal is modulated according to that program. The modulation can be amplitude, frequency or phase modulation. A demodulator in the controller/receiver analyzes the modulated carrier signal, and if a verified signal is recognized displays and/or records the information. This information can be utilized in a computer system to prepare a wiring diagram of the electrical equipment attached to specific leads. Specific circuit values are given for amplitude modulation, and the system is particularly described for use with thermocouples.

  20. Identifying Nuclear Materials Using Tagged Muons

    E-Print Network [OSTI]

    C. L. Morris; J. D. Bacon; K. Borodzin; J. M. Durham; J. M. Fabritius II; E. Guardincerri; A. Hecht; E. C. Milner; H. Miyadera; J. O. Perry; D. Poulson

    2014-06-04T23:59:59.000Z

    Experimental results from a new technique that uses neutrons generated by stopped cosmic-ray muons to identify nuclear materials are described. The neutrons are used to tag muon-induced fission events in actinides and laminography is used to form images of the stopping material. This technique allows the imaging of uranium objects tagged using muon tracking detectors located above or to the side of the objects. The specificity of the technique to significant quantities of nuclear material along with its insensitivity to spatial details may provide a new method for the task of warhead verification for future arms reduction treaties.

  1. Identifying Nuclear Materials Using Tagged Muons

    E-Print Network [OSTI]

    Morris, C L; Borodzin, K; Durham, J M; Fabritius, J M; Guardincerri, E; Hecht, A; Milner, E C; Miyadera, H; Perry, J O; Poulson, D

    2014-01-01T23:59:59.000Z

    Experimental results from a new technique that uses neutrons generated by stopped cosmic-ray muons to identify nuclear materials are described. The neutrons are used to tag muon-induced fission events in actinides and laminography is used to form images of the stopping material. This technique allows the imaging of uranium objects tagged using muon tracking detectors located above or to the side of the objects. The specificity of the technique to significant quantities of nuclear material along with its insensitivity to spatial details may provide a new method for the task of warhead verification for future arms reduction treaties.

  2. Method of identifying defective particle coatings

    DOE Patents [OSTI]

    Cohen, Mark E. (San Diego, CA); Whiting, Carlton D. (San Diego, CA)

    1986-01-01T23:59:59.000Z

    A method for identifying coated particles having defective coatings desig to retain therewithin a build-up of gaseous materials including: (a) Pulling a vacuum on the particles; (b) Backfilling the particles at atmospheric pressure with a liquid capable of wetting the exterior surface of the coated particles, said liquid being a compound which includes an element having an atomic number higher than the highest atomic number of any element in the composition which forms the exterior surface of the particle coating; (c) Drying the particles; and (d) Radiographing the particles. By television monitoring, examination of the radiographs is substantially enhanced.

  3. Re-Identifying the Hagedorn Transition

    E-Print Network [OSTI]

    Keith R. Dienes; Michael Lennek

    2005-05-25T23:59:59.000Z

    The Hagedorn transition in string theory is normally associated with an exponentially rising density of states, or equivalently with the existence of a thermal string winding mode which becomes tachyonic above a specific temperature. However, the details of the Hagedorn transition turn out to depend critically on the precise manner in which a zero-temperature string theory is extrapolated to finite temperature. In this paper, we argue that for broad classes of closed string theories, the traditional Hagedorn transition is completely absent when the correct extrapolation is used. However, we also argue that there is an alternative ``re-identified'' Hagedorn transition which is triggered by the thermal winding excitations of a different, ``effective'' tachyonic string ground state. These arguments allow us to re-identify the Hagedorn temperature for heterotic strings. Moreover, we find that all tachyon-free closed string models in ten dimensions share the same (revised) Hagedorn temperature, resulting in a universal Hagedorn temperature for both Type II and heterotic strings. We also comment on the possibility of thermal spin-statistics violations at the Planck scale.

  4. Identifying seasonal stars in Kaurna astronomical traditions

    E-Print Network [OSTI]

    Hamacher, Duane W

    2015-01-01T23:59:59.000Z

    Early ethnographers and missionaries recorded Aboriginal languages and oral traditions across Australia. Their general lack of astronomical training resulted in misidentifications, transcription errors, and omissions in these records. Additionally, many of these early records are fragmented. In western Victoria and southeast South Australia, many astronomical traditions were recorded, but curiously, some of the brightest stars in the sky were omitted. Scholars claimed these stars did not feature in Aboriginal traditions. This under-representation continues to be repeated in the literature, but current research shows that some of these stars may in fact feature in Aboriginal traditions and could be seasonal calendar markers. This paper uses established techniques in cultural astronomy to identify seasonal stars in the traditions of the Kaurna Aboriginal people of the Adelaide Plains, South Australia.

  5. Vulnerability of critical infrastructures : identifying critical nodes.

    SciTech Connect (OSTI)

    Cox, Roger Gary; Robinson, David Gerald

    2004-06-01T23:59:59.000Z

    The objective of this research was the development of tools and techniques for the identification of critical nodes within critical infrastructures. These are nodes that, if disrupted through natural events or terrorist action, would cause the most widespread, immediate damage. This research focuses on one particular element of the national infrastructure: the bulk power system. Through the identification of critical elements and the quantification of the consequences of their failure, site-specific vulnerability analyses can be focused at those locations where additional security measures could be effectively implemented. In particular, with appropriate sizing and placement within the grid, distributed generation in the form of regional power parks may reduce or even prevent the impact of widespread network power outages. Even without additional security measures, increased awareness of sensitive power grid locations can provide a basis for more effective national, state and local emergency planning. A number of methods for identifying critical nodes were investigated: small-world (or network theory), polyhedral dynamics, and an artificial intelligence-based search method - particle swarm optimization. PSO was found to be the only viable approach and was applied to a variety of industry accepted test networks to validate the ability of the approach to identify sets of critical nodes. The approach was coded in a software package called Buzzard and integrated with a traditional power flow code. A number of industry accepted test networks were employed to validate the approach. The techniques (and software) are not unique to power grid network, but could be applied to a variety of complex, interacting infrastructures.

  6. Identify and Protect Your Vital Records | Department of Energy

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

    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 33Frequently20,000 RussianBy: Thomas P.Department of EnergyLessons Learned Report, NNSA,IDENTIFY

  7. Identifying Lagrangian fronts with favourable fishery conditions

    E-Print Network [OSTI]

    S. V. Prants; M. V. Budyansky; M. Yu. Uleysky

    2013-06-20T23:59:59.000Z

    Lagrangian fronts (LF) in the ocean delineate boundaries between surface waters with different Lagrangian properties. They can be accurately detected in a given velocity field by computing synoptic maps of the drift of synthetic tracers and other Lagrangian indicators. Using Russian ship's catch and location data for a number of commercial fishery seasons in the region of the northwest Pacific with one of the richest fishery in the world, it is shown statistically that the saury fishing grounds with maximal catches are not randomly distributed over the region but located mainly along those LFs where productive cold waters of the Oyashio Current, warmer waters of the southern branch of the Soya Current, and waters of warm-core Kuroshio rings converge. Computation of those fronts with the altimetric geostrophic velocity fields both in the years with the First and Second Oyashio Intrusions shows that in spite of different oceanographic conditions the LF locations may serve good indicators of potential fishing grounds. Possible reasons for saury aggregation near LFs are discussed. We propose a mechanism of effective export of nutrient rich waters based on stretching of material lines in the vicinity of hyperbolic objects in the ocean. The developed method, based on identifying LFs in any velocity fields, is quite general and may be applied to forecast potential fishing grounds for the other pelagic fishes in different seas and the oceans.

  8. Asteroid secular dynamics: Ceres' fingerprint identified

    E-Print Network [OSTI]

    Novakovi?, Bojan; Tsirvoulis, Georgios; Knezevi?, Zoran

    2015-01-01T23:59:59.000Z

    Here we report on the significant role of a so far overlooked dynamical aspect, namely a secular resonance between the dwarf planet Ceres and other asteroids. We demonstrate that this type of secular resonance can be the dominant dynamical factor in certain regions of the main asteroid belt. Specifically, we performed a dynamical analysis of the asteroids belonging to the (1726) Hoffmeister family. To identify which dynamical mechanisms are actually at work in this part of the main asteroid belt, i.e. to isolate the main perturber(s), we study the evolution of this family in time. The study is accomplished using numerical integrations of test particles performed within different dynamical models. The obtained results reveal that the post-impact evolution of the Hoffmeister asteroid family is a direct consequence of the nodal secular resonance with Ceres. This leads us to the conclusion that similar effects must exist in other parts of the asteroid belt. In this respect, the obtained results shed light on an i...

  9. Identify Institutional Change Rules, Roles, and Tools Constituting...

    Office of Environmental Management (EM)

    Identify Institutional Change Rules, Roles, and Tools Constituting Context for Sustainability Identify Institutional Change Rules, Roles, and Tools Constituting Context for...

  10. Identified Patent Waivers | Department of Energy

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

    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 742Energy ChinaofSchaefer To:Department ofOralGovernmentStandardsIdahoby GOURLEY, PAUL

  11. Identifying Needs and Goals | Department of Energy

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

    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 742Energy ChinaofSchaefer To:Department ofOralGovernmentStandardsIdahoby GOURLEY,

  12. Martin Gogolla: Identifying Objects by Declarative

    E-Print Network [OSTI]

    Gogolla, Martin - Fachbereich 3

    are recorded with their names and population. Branches own a set of cars characterized by a chasis number­called observation term, in order to observe a unique, iden­ tifying property of objects of the corresponding type. 1 property of the object is question. Such an identification number is something which comes from outside

  13. Two-Factor Identify Proofing Process | Department of Energy

    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'sis Taking Over OurThe Iron Spin Transition in2,EHSS A-Zandof EnergyTwoTwo newIdentify Proofing

  14. ARM - Publications: Science Team Meeting Documents: Identifying

    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 ScienceandMesa-Anomalous Radiative AbsorptionARM InArctic Facility forofCloud

  15. BPA Study of Smart Grid Economics Identifies

    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 3,625govInstrumentstdmadapInactiveVisiting the TWP TWPAlumniComplex historian ...BES UserDOE - ORPModificationsBOSS

  16. Los Alamos identifies internal material control issue

    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 |Is YourAwardspublicexceeds waste shipping goal

  17. A novel method for identifying exoplanetary rings

    E-Print Network [OSTI]

    Zuluaga, Jorge I; Sucerquia, Mario; Alvarado, Jaime A

    2015-01-01T23:59:59.000Z

    The discovery of rings around extrasolar planets ("exorings") is one of the next breakthroughs in exoplanetary research. Previous studies have explored the feasibility of detecting exorings with present and future photometric sensitivities by seeking anomalous deviations in the residuals of a standard transit light curve fit, at the level of ~100 ppm for Kronian rings. In this work, we explore two much larger observational consequences of exorings: (1) the significant increase in transit depth that may lead to misclassification of ringed planetary candidates as false-positives and/or the underestimation of planetary density; and (2) the so-called "photo-ring" effect, a new asterodensity profiling effect, revealed by a comparison of the light curve derived stellar density to that measured with independent methods (e.g. asteroseismology). Whilst these methods do not provide an unambiguous discovery of exorings, we show that the large amplitude of these effects combined with their relatively simple analytic desc...

  18. On the development of a GroEL based platform for identifying pharmacological chaperones

    E-Print Network [OSTI]

    Naik, Subhashchandra

    2013-05-31T23:59:59.000Z

    1 CHAPTER 1: ON THE NEED FOR A PLATFORM FOR IDENTIFYING PHARMACOLOGICAL CHAPERONES 1.1 Protein misfolding and proteostasis. 1.1.1 Protein folding and misfolding. a Protein folding and function. Proteins are crucial for all essential life... years. Some of the initial studies in the field of protein folding were performed by Linus Pauling and E.J. Corey, who first discovered that polypeptides form secondary structure elements such as alpha helices and beta sheets (1). Later, Christian...

  19. Identify Dynamic Network Modules with Temporal and Spatial Constraints

    SciTech Connect (OSTI)

    Jin, R; McCallen, S; Liu, C; Almaas, E; Zhou, X J

    2007-09-24T23:59:59.000Z

    Despite the rapid accumulation of systems-level biological data, understanding the dynamic nature of cellular activity remains a difficult task. The reason is that most biological data are static, or only correspond to snapshots of cellular activity. In this study, we explicitly attempt to detangle the temporal complexity of biological networks by using compilations of time-series gene expression profiling data.We define a dynamic network module to be a set of proteins satisfying two conditions: (1) they form a connected component in the protein-protein interaction (PPI) network; and (2) their expression profiles form certain structures in the temporal domain. We develop the first efficient mining algorithm to discover dynamic modules in a temporal network, as well as frequently occurring dynamic modules across many temporal networks. Using yeast as a model system, we demonstrate that the majority of the identified dynamic modules are functionally homogeneous. Additionally, many of them provide insight into the sequential ordering of molecular events in cellular systems. We further demonstrate that identifying frequent dynamic network modules can significantly increase the signal to noise separation, despite the fact that most dynamic network modules are highly condition-specific. Finally, we note that the applicability of our algorithm is not limited to the study of PPI systems, instead it is generally applicable to the combination of any type of network and time-series data.

  20. Identifying the source of perytons at the Parkes radio telescope

    E-Print Network [OSTI]

    Petroff, E; Barr, E D; Reynolds, J E; Sarkissian, J; Edwards, P G; Stevens, J; Brem, C; Jameson, A; Burke-Spolaor, S; Johnston, S; Bhat, N D R; Chandra, P; Kudale, S; Bhandari, S

    2015-01-01T23:59:59.000Z

    "Perytons" are millisecond-duration transients of terrestrial origin, whose frequency-swept emission mimics the dispersion of an astrophysical pulse that has propagated through tenuous cold plasma. In fact, their similarity to FRB 010724 had previously cast a shadow over the interpretation of "fast radio bursts," which otherwise appear to be of extragalactic origin. Until now, the physical origin of the dispersion-mimicking perytons had remained a mystery. We have identified strong out-of-band emission at 2.3--2.5 GHz associated with several peryton events. Subsequent tests revealed that a peryton can be generated at 1.4 GHz when a microwave oven door is opened prematurely and the telescope is at an appropriate relative angle. Radio emission escaping from microwave ovens during the magnetron shut-down phase neatly explain all of the observed properties of the peryton signals. Now that the peryton source has been identified, we furthermore demonstrate that the microwaves on site could not have caused FRB 01072...

  1. Contribution of Identified Active Faults to Near Fault Seismic Hazard in the Flinders Ranges

    E-Print Network [OSTI]

    Sandiford, Mike

    Somerville1 , Peggy Quijada1 , Hong Kie Thio1 , Mike Sandiford2 and Mark Quigley2 1. URS Corporation estimates of fault slip rate from Quigley et al. (2006) to quantify the seismic activity rate on the faults of these models was used in conjunction with the active fault model. Quigley et al. (2006) identified a system

  2. A Chemical Stain for Identifying Arsenic-Treated Wood

    E-Print Network [OSTI]

    Florida, University of

    A Chemical Stain for Identifying Arsenic-Treated Wood (FINAL) Submitted June 23, 2006 Amy Omae.2 Motivation 4 I.3 Objectives 5 CHAPTER II, DEVELOPMENT OF A CHEMICAL STAIN FOR IDENTIFYING ARSENIC-TREATED Applications 22 II.5 Resulting Stain to Identify Arsenic-Treated Wood and Methods of Testing 25 CHAPTER III

  3. Response and Notification Procedures for Data Breaches Involving Personally Identifiable Information

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2007-10-09T23:59:59.000Z

    This Notice concerns actions to address data breaches of personally identifiable information that is collected, processed or maintained by DOE. Extended by DOE N 251.73 until 1-9-09. No cancellation.

  4. Identifying and Managing the Health and Safety Hazards of Nanomaterials in Laboratories 

    E-Print Network [OSTI]

    Kim, Jin Sek

    2014-08-06T23:59:59.000Z

    of identifying and managing the health and safety hazards of nanomaterials inside laboratories. Two main areas of research are studied: 1) Identification of nanomaterial hazards in laboratories, and 2) Mitigation of nanomaterial hazards in laboratories...

  5. Identifying Calcium Channels and Porters in Plant Membranes

    SciTech Connect (OSTI)

    Sze, Heven

    1998-04-01T23:59:59.000Z

    The overall objectives of the proposal submitted in 6/90 was to understand how Ca was transported across plant membranes, and how these transport pathways were regulated. Ca participates in many cellular processes, including the transduction of hormonal and environmental signals, secretion, and protein folding. These processes depend on the coordination of passive Ca fluxes via channels and active Ca pumps; however these transport pathways are poorly understood in plants. We had, therefore, proposed to identify and characterize Ca transport proteins, such as the inositol-1 ,4,5-trisphosphate (IP3)-sensitive Ca channels and Ca pumps. We have had difficulties characterizing and cloning the IP3-sensitive Ca channel, but have made considerable progress on the biochemical characterization, and partial purification of a 120 kD Ca-pumping ATPase. We have begun to determine the structure of Ca pumps by molecular cloning and have already obtained a partial cDNA with features characteristic of Ca pumps.

  6. Study identifies two Northwest basalt rock caverns sites for...

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

    and BPA have identified two possible sites in eastern Washington to build compressed air energy storage facilities that could temporarily store the Northwest's excess wind power....

  7. Save Energy Now Data Center Assessments to Identify Efficiency Opportunities

    Broader source: Energy.gov [DOE]

    Power Point presentation from a Webcast held on November 13, 2008, to discuss DOE's and FEMP's data center assessments that can identify efficiency opportunities.

  8. analysis identifies susceptibility: Topics by E-print Network

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

    (controls). Only statistically significant Zelikovsky, Alexander 11 Application of Multivariate Analysis to Identify Soil CiteSeer Summary: In the center of South America,...

  9. analysis identifies distinct: Topics by E-print Network

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

    Engineering Websites Summary: ways to nd patterns shared by real-valued time series as well (Kruskall & Sanko 1983). UnfortunatelyIdentifying Distinctive Subsequences in...

  10. Topological Analysis of Protein Co-Abundance Networks Identifies...

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

    Topological Analysis of Protein Co-Abundance Networks Identifies Novel Host Targets Important for HCV Infection and Pathogenesis Topological Analysis of Protein Co-Abundance...

  11. analysis identifies jnk: Topics by E-print Network

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

    (Iraq). Heyam Daod 283 Contribution of Identified Active Faults to Near Fault Seismic Hazard in the Flinders Ranges Geosciences Websites Summary: Contribution of...

  12. ago2 immunoprecipitation identifies: Topics by E-print Network

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

    of activities, including energy extraction, aquifer storage, carbon sequestration, and seismic hazard assessment. Identifying individual (more) Fagan, Deborah Kay 2012-01-01 165...

  13. analysis identifies tlr7: Topics by E-print Network

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

    (Iraq). Heyam Daod 265 Contribution of Identified Active Faults to Near Fault Seismic Hazard in the Flinders Ranges Geosciences Websites Summary: Contribution of...

  14. analysis identifies macbecin: Topics by E-print Network

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

    (Iraq). Heyam Daod 262 Contribution of Identified Active Faults to Near Fault Seismic Hazard in the Flinders Ranges Geosciences Websites Summary: Contribution of...

  15. arecaceae identifies syagrus: Topics by E-print Network

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

    of activities, including energy extraction, aquifer storage, carbon sequestration, and seismic hazard assessment. Identifying individual (more) Fagan, Deborah Kay 2012-01-01 143...

  16. anaplastic astrocytoma identifies: Topics by E-print Network

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

    of activities, including energy extraction, aquifer storage, carbon sequestration, and seismic hazard assessment. Identifying individual (more) Fagan, Deborah Kay 2012-01-01 153...

  17. analysis techniques identifies: Topics by E-print Network

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

    HITS algorithm, which relies on dubious statistical assumptions, our model provides probabilistic estimates that have clear semantics. We also find that in general, the identified...

  18. assessment meca identifying: Topics by E-print Network

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

    HITS algorithm, which relies on dubious statistical assumptions, our model provides probabilistic estimates that have clear semantics. We also find that in general, the identified...

  19. attaleinae arecaceae identifies: Topics by E-print Network

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

    of activities, including energy extraction, aquifer storage, carbon sequestration, and seismic hazard assessment. Identifying individual (more) Fagan, Deborah Kay 2012-01-01 143...

  20. analysis identifies amphiregulin: Topics by E-print Network

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

    (Iraq). Heyam Daod 266 Contribution of Identified Active Faults to Near Fault Seismic Hazard in the Flinders Ranges Geosciences Websites Summary: Contribution of...

  1. Energy Department Announces $3 Million to Identify New Geothermal...

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

    U.S. Department of Energy today announced 3 million to spur geothermal energy development using play fairway analysis. This technique identifies prospective geothermal resources...

  2. "Title","Speaker","Publication Date","OSTI Identifier","Report...

    Office of Scientific and Technical Information (OSTI)

    Speaker","Publication Date","OSTI Identifier","Report Number(s)","DOE Contract Number","Other Number(s)","Resource Type","Specific Type","Coverage...

  3. Generic identifiability and second-order sufficiency in tame convex ...

    E-Print Network [OSTI]

    2009-01-19T23:59:59.000Z

    Jan 19, 2009 ... is somehow pathological, or because of the failure of the typical ... identify the manifold and converge well, and standard sensitivity analysis.

  4. Identifying a Collaborating DOE Laboratory Scientist | U.S. DOE...

    Office of Science (SC) Website

    Identifying a Collaborating DOE Laboratory Scientist DOE Office of Science Graduate Student Research (SCGSR) Program SCGSR Home Eligibility Benefits Participant Obligations How to...

  5. Identifying semiconductors by d.c. ionization conductivity

    E-Print Network [OSTI]

    2006-01-01T23:59:59.000Z

    expected from high-Z semiconductor detectors? ,” IEEE Transand binary compound semiconductors and insulators,” J PhysIdentifying Semiconductors by D.C. Ionization Conductivity

  6. Energy Department Announces $3 Million to Identify New Geothermal...

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

    Addthis The U.S. Department of Energy today announced 3 million to spur geothermal energy development using play fairway analysis. This technique identifies prospective...

  7. Systems Virology Identifies a Mitochondrial Fatty Acid Oxidation...

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

    Fatty Acid Oxidation Enyzme, Dodecenoyl Coenzyme A Delta Isomerase, Required for Systems Virology Identifies a Mitochondrial Fatty Acid Oxidation Enyzme, Dodecenoyl Coenzyme...

  8. FINAL REPORT: Integration of ORCID Research identifiers into the scholarly contributions of new

    E-Print Network [OSTI]

    Clement, Gail

    2014-10-30T23:59:59.000Z

    were to: 1. Investigate methods of integrating ORCID Identifiers and profiles in three campus systems that represent institutional researcher contributions: the Vireo ETD management system; the University’s OAK Trust Institutional Repository... (DSpace platform); and the internally-used VIVO profile system. 2. Design, develop, and demonstrate successful integration of ORCID identifiers and profiles with the Vireo ETD Submission & Management system using test data from graduate students, post...

  9. A taxonomy for identifying requirement interactions in software systems

    E-Print Network [OSTI]

    Eberlein, Armin

    A taxonomy for identifying requirement interactions in software systems Mohamed Shehata a taxonomy for classifying and identifying requirement interactions in software systems. The proposed taxonomy is in the form of a four-layered pyramid that defines 6 Main Interaction Categories in the first

  10. Method of identifying hairpin DNA probes by partial fold analysis

    DOE Patents [OSTI]

    Miller, Benjamin L. (Penfield, NY); Strohsahl, Christopher M. (Saugerties, NY)

    2009-10-06T23:59:59.000Z

    Method of identifying molecular beacons in which a secondary structure prediction algorithm is employed to identify oligonucleotide sequences within a target gene having the requisite hairpin structure. Isolated oligonucleotides, molecular beacons prepared from those oligonucleotides, and their use are also disclosed.

  11. Method of identifying hairpin DNA probes by partial fold analysis

    DOE Patents [OSTI]

    Miller, Benjamin L.; Strohsahl, Christopher M.

    2008-10-28T23:59:59.000Z

    Methods of identifying molecular beacons in which a secondary structure prediction algorithm is employed to identify oligonucleotide sequences within a target gene having the requisite hairpin structure. Isolated oligonucleotides, molecular beacons prepared from those oligonucleotides, and their use are also disclosed.

  12. Rutgers-Camden Researchers Identify a Key Protein for Yield and Biomass Accumulation in Plants.

    E-Print Network [OSTI]

    Liu, Alice Y.C.

    Rutgers-Camden Researchers Identify a Key Protein for Yield and Biomass Accumulation in Plants. Growth, cell patterning, yield, and biomass accumulation in plants are controlled by multi and biomass accumulation. A particular protein, GIGANTUS1 (GTS1), named for its role in regulating a GIANT

  13. Genome-wide association study identifies three loci associated with melanoma risk

    E-Print Network [OSTI]

    Pennsylvania, University of

    Genome-wide association study identifies three loci associated with melanoma risk D Timothy Bishop1-wide association study of melanoma conducted by the GenoMEL consortium based on 317K tagging SNPs for 1 and cutaneous sun sensitivity, well-recognized melanoma risk factors. Common variants within the 9p21 locus have

  14. Laboratory Reports for the Development of a Chemical Stain to Identify Arsenic-Treated Wood

    E-Print Network [OSTI]

    Florida, University of

    A-1 APPENDIX A Laboratory Reports for the Development of a Chemical Stain to Identify Arsenic-Treated CCA-Treated, 9.6 kg/m3 CCA-Treated, 40 kg/m3 CCA-Treated, and Weathered Wood. · Group 1 ­ Blank o

  15. Call title: "The ocean of tomorrow" Call identifier: FP7-OCEAN-2010

    E-Print Network [OSTI]

    Milano-Bicocca, Università

    challenges in ocean management Theme 5 ­ Energy Area ENERGY.10.1 Call "The ocean of tomorrow" ­ Joining1 Call title: "The ocean of tomorrow" · Call identifier: FP7-OCEAN-2010 · Date of publication: 30, and Biotechnology (KBBE) - EUR 6 million from Theme 5 ­ Energy - EUR 10.5 million from Theme 6 ­ Environment

  16. Performance Analysis: Work Control Events Identified January - August 2010

    SciTech Connect (OSTI)

    De Grange, C E; Freeman, J W; Kerr, C E; Holman, G; Marsh, K; Beach, R

    2011-01-14T23:59:59.000Z

    This performance analysis evaluated 24 events that occurred at LLNL from January through August 2010. The analysis identified areas of potential work control process and/or implementation weaknesses and several common underlying causes. Human performance improvement and safety culture factors were part of the causal analysis of each event and were analyzed. The collective significance of all events in 2010, as measured by the occurrence reporting significance category and by the proportion of events that have been reported to the DOE ORPS under the ''management concerns'' reporting criteria, does not appear to have increased in 2010. The frequency of reporting in each of the significance categories has not changed in 2010 compared to the previous four years. There is no change indicating a trend in the significance category and there has been no increase in the proportion of occurrences reported in the higher significance category. Also, the frequency of events, 42 events reported through August 2010, is not greater than in previous years and is below the average of 63 occurrences per year at LLNL since 2006. Over the previous four years, an average of 43% of the LLNL's reported occurrences have been reported as either ''management concerns'' or ''near misses.'' In 2010, 29% of the occurrences have been reported as ''management concerns'' or ''near misses.'' This rate indicates that LLNL is now reporting fewer ''management concern'' and ''near miss'' occurrences compared to the previous four years. From 2008 to the present, LLNL senior management has undertaken a series of initiatives to strengthen the work planning and control system with the primary objective to improve worker safety. In 2008, the LLNL Deputy Director established the Work Control Integrated Project Team to develop the core requirements and graded elements of an institutional work planning and control system. By the end of that year this system was documented and implementation had begun. In 2009, training of the workforce began and as of the time of this report more than 50% of authorized Integration Work Sheets (IWS) use the activity-based planning process. In 2010, LSO independently reviewed the work planning and control process and confirmed to the Laboratory that the Integrated Safety Management (ISM) System was implemented. LLNL conducted a cross-directorate management self-assessment of work planning and control and is developing actions to respond to the issues identified. Ongoing efforts to strengthen the work planning and control process and to improve the quality of LLNL work packages are in progress: completion of remaining actions in response to the 2009 DOE Office of Health, Safety, and Security (HSS) evaluation of LLNL's ISM System; scheduling more than 14 work planning and control self-assessments in FY11; continuing to align subcontractor work control with the Institutional work planning and control system; and continuing to maintain the electronic IWS application. The 24 events included in this analysis were caused by errors in the first four of the five ISMS functions. The most frequent cause was errors in analyzing the hazards (Function 2). The second most frequent cause was errors occurring when defining the work (Function 1), followed by errors during the performance of work (Function 4). Interestingly, very few errors in developing controls (Function 3) resulted in events. This leads one to conclude that if improvements are made to defining the scope of work and analyzing the potential hazards, LLNL may reduce the frequency or severity of events. Analysis of the 24 events resulted in the identification of ten common causes. Some events had multiple causes, resulting in the mention of 39 causes being identified for the 24 events. The most frequent cause was workers, supervisors, or experts believing they understood the work and the hazards but their understanding was incomplete. The second most frequent cause was unclear, incomplete or confusing documents directing the work. Together, these two causes were mentioned 17 times and co

  17. Call title: Energy Call Part 1 Call identifier: FP7-ENERGY-2010-1

    E-Print Network [OSTI]

    Milano-Bicocca, Università

    FUEL PRODUCTION conversion of solar radiation ACTIVITY ENERGY.5: CO2 CAPTURE AND STORAGE TECHNOLOGIES: RENEWABLE ELECTRICITY GENERATION ENERGY.3: RENEWABLE FUEL PRODUCTION ENERGY.8: ENERGY EFFICIENCY AND SAVINGS-temperature operation Collaborative Project ACTIVITY ENERGY.3: RENEWABLE FUEL PRODUCTION AREA ENERGY.3.5: ALTERNATIVE

  18. Identified Patent Waiver W(I)2012-009

    Broader source: Energy.gov [DOE]

    This is a request by UNITED TECHNOLOGIES RESEARCH for a DOE Identified patent waiver of domestic and foreign patent rights under agreement DE-AC02-05CH11231.

  19. ORIGINAL PAPER Identifying differentially expressed genes in human acute leukemia

    E-Print Network [OSTI]

    Gu, Xun

    ORIGINAL PAPER Identifying differentially expressed genes in human acute leukemia and mouse brain the experimental-wise false discovery rate. A human acute leukemia dataset corrected from 38 leukemia patients

  20. Using patient­identifiable data for observational research and audit 

    E-Print Network [OSTI]

    Al-Shahi, Rustam; Warlow, Charles P

    2000-01-01T23:59:59.000Z

    Across the world rapid changes in the law, technology, and society are reshaping the way identifiable information about patients is handled. In Britain, doctors' longstanding common law duty of confidentiality to their ...

  1. analysis identifies core: Topics by E-print Network

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

    not only from rotating core-collapse and bounce, the subsequent ring down of the proto-neutron star (PNS) as previously identified, but also from the formation of...

  2. Identifying Patterns in Geospatial Natural Language Kristin Stock

    E-Print Network [OSTI]

    Stock, Kristin

    Identifying Patterns in Geospatial Natural Language Kristin Stock Nottingham Geospatial Institute University of Nottingham Abstract The automated interpretation of geospatial be suitable as an approach to the representation of geospatial natural language that supports

  3. All-codon scanning identifies p53 cancer rescue mutations

    E-Print Network [OSTI]

    2010-01-01T23:59:59.000Z

    interactions by alanine-scanning mutagenesis. Science, 244,10.1093/nar/gkq571 All-codon scanning identifies p53 cancer2010 ABSTRACT In vitro scanning mutagenesis strategies are

  4. Ion Technique for Identifying Gamma Detector Candidates. | EMSL

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

    CsI:Tl and BGO) scintillators. Citation: Zhang Y, X Xiang, JL Rausch, XT Zu, and WJ Weber.2009."Ion Technique for Identifying Gamma Detector Candidates."IEEE Transactions on...

  5. Identified Patent Waiver W(I)2012-003

    Broader source: Energy.gov [DOE]

    This is a request by UCHICAGO ARGONNE, LLC for a DOE Identified patent waiver of domestic and foreign patent rights under agreement DE-AC02-06CH11357.

  6. Identifying, examining, and validating a description of the agriculture industry

    E-Print Network [OSTI]

    Romero, Edward Wayne

    2009-05-15T23:59:59.000Z

    The purpose of this study was to identify, examine, and validate the various components and systems in agriculture while investigating three objectives related to Careers, Industries, and Systems using the Delphi technique over three rounds. Three...

  7. Identified Patent Waiver W(I)2012-005

    Broader source: Energy.gov [DOE]

    This is a request by UCHICAGO ARGONNE, LLC for a DOE Identified patent waiver of domestic and foreign patent rights under agreement DE-AC02-06CH11357.

  8. Identified Patent Waiver W(I)2012-004

    Broader source: Energy.gov [DOE]

    This is a request by UCHICAGO ARGONNE, LLC for a DOE Identified patent waiver of domestic and foreign patent rights under agreement DE-AC02-06CH11357.

  9. Microfluidic in vivo screen identifies compounds enhancing neuronal

    E-Print Network [OSTI]

    Haggarty, Stephen

    Compound screening is a powerful tool to identify new therapeutic targets, drug leads, and elucidate the fundamental mechanisms of biological processes. We report here the results of the first in vivo small-molecule screens ...

  10. aureus genomes identify: Topics by E-print Network

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

    to be under Selective Constraint Using GERP++. PLoS Comput Sidow, Arend 10 ABSTRACT Genomics and bioinformatics have the vast potential to identify genes that cause disease by...

  11. Identifying vocalizations and their possible function in Texas Blue Jays

    E-Print Network [OSTI]

    Jeter-Edwards, Julie

    1989-01-01T23:59:59.000Z

    IDENTIFYING VOCALIZATIONS AND THEIR POSSIBLE FUNCTION IN TEXAS BLUE JAYS A Thesis JULIE JETER-EDWARDS Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER... OF SCIENCE December 1989 Major Subject: Wildlife & Fisheries Science IDENTIFYING VOCALIZATIONS AND THEIR POSSIBLE FUNCTION IN TEXAS BLUE JAYS A Thesis JULIE JETER-EDWARDS Approved as to style and content by: Keith A. Arnold (Chair of Committee...

  12. Developing a Real-Time Identify-and-Locate System for the Blind

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Developing a Real-Time Identify-and-Locate System for the Blind Gemstone Team Vision 1 , Bobby Bobo Lighthouse for the Blind 3 University of Maryland Institute for Advanced Computer Studies 4 University to the blind in the foreseeable future. But despite the rapid advances in computer hardware and vi- sion

  13. WebFEATURE: An interactive web tool for identifying and visualizing functional sites on macromolecular structures

    E-Print Network [OSTI]

    Brutlag, Doug

    1 WebFEATURE: An interactive web tool for identifying and visualizing functional sites University, Stanford CA 94305 USA Abstract WebFEATURE (http://feature.stanford.edu/webfeature/) is a web and nucleic acids. WebFEATURE is the public interface to the scanning algorithm of the FEATURE package

  14. USING DNASE DIGESTION DATA TO ACCURATELY IDENTIFY TRANSCRIPTION FACTOR BINDING SITES

    E-Print Network [OSTI]

    Hartemink, Alexander

    USING DNASE DIGESTION DATA TO ACCURATELY IDENTIFY TRANSCRIPTION FACTOR BINDING SITES KAIXUAN LUO1. But methods combining DNase digestion data with TF binding specificity information could potentially be used on the genomic digestion prod- ucts of deoxyribonuclease I (DNase I, which we will simply call DNase) might

  15. [25] Identifying Importance of Amino Acids for Protein Folding from Crystal Structures

    E-Print Network [OSTI]

    Dokholyan, Nikolay V.

    [25] Identifying Importance of Amino Acids for Protein Folding from Crystal Structures By Nikolay V their unique three-dimensional structure. This ques- tion, known as the protein-folding problem,1­25 is of great importance because understanding protein-folding mechanisms is a key to success- ful manipulation

  16. Identifying the importance of amino acids for protein folding from crystal structures

    E-Print Network [OSTI]

    Stanley, H. Eugene

    Identifying the importance of amino acids for protein folding from crystal structures Nikolay V and characterizing protein folding kinetics from crystal structures using computational techniques. We also describe as the protein folding prob- lem [1­25], is of great importance because understanding protein folding mechanisms

  17. Identifying Useful Statistical Indicators of Proximity to Instability in Stochastic Power Systems

    E-Print Network [OSTI]

    Lakoba, Taras I.

    1 Identifying Useful Statistical Indicators of Proximity to Instability in Stochastic Power Systems indicators provide re- liable early warning of instability in power systems. First, the paper derives voltages and currents in an arbitrary power system model. Building on this approach, the paper describes

  18. Identifying Security Bug Reports via Text Mining: An Industrial Case Study Michael Gegick, 2

    E-Print Network [OSTI]

    Xie, Tao

    Rotella, 3 Tao Xie 1 Independent, 2 Cisco Systems , 3 North Carolina State University Department, and end users. When bug reporters submit bug reports to a bug-tracking system, the bug reporters need of BRs to train a statistical model on already manually-labeled BRs to identify SBRs that are manually

  19. Identifying Alzheimers Disease-Related Brain Regions from Multi-Modality Neuroimaging Data

    E-Print Network [OSTI]

    Li, Jing

    1 Identifying Alzheimers Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using sensitivity and specificity. The fast growing neuroimaging techniques hold great promise.8 Research so far has focused on single neuroimaging modalities. However, as different modalities9 provide complementary

  20. Towards prospective Life Cycle Assessment: how to identify key parameters inducing most

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    of Life Cycle Assessments (LCA) have been undertaken, attempting to give a quantitative assessmentTowards prospective Life Cycle Assessment: how to identify key parameters inducing most Blanc1 MINES ParisTech, O.I.E. center, Sophia Antipolis, France Abstract. Prospective Life Cycle

  1. Screening Libraries To Identify Proteins with Desired Binding Activities Using a Split-GFP

    E-Print Network [OSTI]

    Shorter, James

    Screening Libraries To Identify Proteins with Desired Binding Activities Using a Split 06520 cbi9990825210008 W e have previously described a split-green fluorescent protein (GFP) reassembly assay by which to detect protein protein interac- tions (1-3). In this assay, green fluorescent protein

  2. Identifying Mathematical Models of the Mechanically Ventilated Lung Using Equation Discovery

    E-Print Network [OSTI]

    Kersting, Kristian

    1 Identifying Mathematical Models of the Mechanically Ventilated Lung Using Equation Discovery in intensive care medicine by all means. Nevertheless, it can induce severe mechanical stress to the lung, which generally impairs the outcome of the therapy. To reduce the risk of a ventilator induced lung

  3. Procedures to identify Energy Conservation Opportunities applied to HVAC system: example of VSD of chilled water pumps

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Procedures to identify Energy Conservation Opportunities applied to HVAC system: example of VSD among the list of Energy Conservation Opportunities (137) identified in the HARMONAC project [1]. First of HVAC equipment using variable speed drive (VSD) is an Energy Conservation Opportunity (ECO) which can

  4. Similarity measure to identify users' profiles in web usage mining

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Similarity measure to identify users' profiles in web usage mining Firas Abou Latif -- Nicolas information. It makes the website browsing process even harder. This paper addresses the web usage mining problématique ré- currente. Le Web Usage Mining, qui tente de résoudre ce problème, propose des techniques

  5. Identifying Energy Waste through Dense Power Sensing and Utilization Monitoring

    E-Print Network [OSTI]

    Stanford University

    Identifying Energy Waste through Dense Power Sensing and Utilization Monitoring Maria Kazandjieva the efficiency of such a computing system requires detailed data of both en- ergy consumption and energy waste to differentiate energy used well from energy waste. This is an important difference from pre- vious work [8, 14

  6. Classifying Web Search Queries to Identify High Revenue Generating Customers

    E-Print Network [OSTI]

    Jansen, James

    searching, the set of terms for which a user searches is called the query. If a user enters a query and then clicks on a result, these query terms are embedded within the URL that is passed from the search engineClassifying Web Search Queries to Identify High Revenue Generating Customers Adan Ortiz-Cordova 329

  7. ISSN 1745-9648 Identifying Fuel Poverty Using Objective

    E-Print Network [OSTI]

    Feigon, Brooke

    ISSN 1745-9648 Identifying Fuel Poverty Using Objective and Subjective Measures by Catherine Government is committed to abolishing fuel poverty amongst vulnerable households by the year 2010 and in the general population by 2016, but definition and measurement of fuel poverty remains controversial. We

  8. SHORT REPORT Open Access Nuclear lipid droplets identified by electron

    E-Print Network [OSTI]

    Boyer, Edmond

    SHORT REPORT Open Access Nuclear lipid droplets identified by electron microscopy of serial that nuclear lipid droplets (LDs) are organized into domains similar to those of cytoplasmic LDs with the nuclear envelope, it could be suggested however that nuclear LDs are cytoplamic LDs trapped within

  9. Crypto-Based Identifiers (CBIDs): Concepts and Applications

    E-Print Network [OSTI]

    Castelluccia, Claude

    Crypto-Based Identifiers (CBIDs): Concepts and Applications GABRIEL MONTENEGRO Sun Labs, Europe of this material appeared in G. Montenegro and C. Castelluccia, "Statistically Unique and Cryptographically Security Conference (NDSS02), San Diego, February 2002. Authors' addresses: G. Montenegro, Sun Labs, Europe

  10. Identifying the Original Contribution of a Document via Language Modeling

    E-Print Network [OSTI]

    Joachims, Thorsten

    and impact, and we show how it can find text passages that best summarize the original contributionIdentifying the Original Contribution of a Document via Language Modeling Benyah Shaparenko Cornell that a document contributes to a corpus, focusing on self-referential diachronic corpora such as research pub

  11. Identifying the Original Contribution of a Document via Language Modeling

    E-Print Network [OSTI]

    Joachims, Thorsten

    Identifying the Original Contribution of a Document via Language Modeling Benyah Shaparenko the original ideas that a document contributes to a corpus, focusing on self-referential diachronic corpora such as research publications, blogs, email, and news articles. Our statistical model of passage impact defines

  12. How To Identify a Good Research Topic? Marek J. Druzdzel

    E-Print Network [OSTI]

    Brusilovsky, Peter

    ... But everybody who wants to succeed works hard. "Because I have a secret weapon" Much better! #12;How To Identify a Good Research Topic? Finding a research topic: Secret weapon What is a secret weapon? · A good problem are not completely on your own here ... · Listen to your advisor: He/she is (or should be) one of your secret weapons

  13. d Original Contribution IDENTIFYING THE INERTIAL CAVITATION THRESHOLD AND SKULL

    E-Print Network [OSTI]

    Konofagou, Elisa E.

    d Original Contribution IDENTIFYING THE INERTIAL CAVITATION THRESHOLD AND SKULL EFFECTS IN AVESSEL unknown. To investigate the pressure threshold for inertial cavitation of pre- formed microbubbles during sonication, passive cavitation detection in conjunction with B-mode imaging was used. A cerebral vessel

  14. Identifying Differences in Cultural Behavior in Online Groups

    SciTech Connect (OSTI)

    Gregory, Michelle L.; Engel, David W.; Bell, Eric B.; Mcgrath, Liam R.

    2012-07-23T23:59:59.000Z

    We have developed methods to identify online communities, or groups, using a combination of structural information variables and content information variables from weblog posts and their comments to build a characteristic footprint for groups. We have worked with both explicitly connected groups and 'abstract' groups, in which the connection between individuals is in interest (as determined by content based features) and behavior (metadata based features) as opposed to explicit links. We find that these variables do a good job at identifying groups, placing members within a group, and helping determine the appropriate granularity for group boundaries. The group footprint can then be used to identify differences between the online groups. In the work described here we are interested in determining how an individual's online behavior is influenced by their membership in more than one group. For example, individuals belong to a certain culture; they may belong as well to a demographic group, and other 'chosen' groups such as churches or clubs. There is a plethora of evidence surrounding the culturally sensitive adoption, use, and behavior on the Internet. In this work we begin to investigate how culturally defined internet behaviors may influence behaviors of subgroups. We do this through a series of experiments in which we analyze the interaction between culturally defined behaviors and the behaviors of the subgroups. Our goal is to (a) identify if our features can capture cultural distinctions in internet use, and (b) determine what kinds of interaction there are between levels and types of groups.

  15. Grid Database Service Specification Document Identifier: GDSS-0.2

    E-Print Network [OSTI]

    Glasgow, University of

    Grid Database Service Specification Document Identifier: GDSS-0.2 Date: 4th October 2002 Authors of networked resources. The Open Grid Services Architecture (OGSA) extends Web Services with consistent interfaces for creating, managing and exchanging information among Grid Services, which are dynamic

  16. Identifying two steps in the internal wave energy cascade

    E-Print Network [OSTI]

    Sun, Oliver Ming-Teh

    2010-01-01T23:59:59.000Z

    1.1.1 The internal wave energy cascade . . . . . . .? ? , which contain only wave energy trav- eling upward anddistinction is made between wave energy propagating upward

  17. Paramount Petroleum: Plant-Wide Energy-Efficiency Assessment Identifies Three Projects

    SciTech Connect (OSTI)

    Not Available

    2003-07-01T23:59:59.000Z

    The Paramount Petroleum plant-wide energy assessment identified a cost-effective electrical power and heat energy production facility and systems that could benefit from either fuel-burn adjustments or a new drive/control system. This could lead to independence from a local electric utility with much improved reliability, estimated annual energy savings of 1,200,000 kWh of electricity, and estimated annual savings of$4.1 million for energy reduction and other improvements.

  18. Methods for characterizing, classifying, and identifying unknowns in samples

    DOE Patents [OSTI]

    Grate, Jay W.; Wise, Barry M.

    2003-08-12T23:59:59.000Z

    Disclosed is a method for taking the data generated from an array of responses from a multichannel instrument, and determining the characteristics of a chemical in the sample without the necessity of calibrating or training the instrument with known samples containing the same chemical. The characteristics determined by the method are then used to classify and identify the chemical in the sample. The method can also be used to quantify the concentration of the chemical in the sample.

  19. Methods for characterizing, classifying, and identifying unknowns in samples

    DOE Patents [OSTI]

    Grate, Jay W [West Richland, WA; Wise, Barry M [Manson, WA

    2002-01-01T23:59:59.000Z

    Disclosed is a method for taking the data generated from an array of responses from a multichannel instrument, and determining the characteristics of a chemical in the sample without the necessity of calibrating or training the instrument with known samples containing the same chemical. The characteristics determined by the method are then used to classify and identify the chemical in the sample. The method can also be used to quantify the concentration of the chemical in the sample.

  20. Identifying Optimal Measurement Subspace for the Ensemble Kalman Filter

    SciTech Connect (OSTI)

    Zhou, Ning; Huang, Zhenyu; Welch, Greg; Zhang, J.

    2012-05-24T23:59:59.000Z

    To reduce the computational load of the ensemble Kalman filter while maintaining its efficacy, an optimization algorithm based on the generalized eigenvalue decomposition method is proposed for identifying the most informative measurement subspace. When the number of measurements is large, the proposed algorithm can be used to make an effective tradeoff between computational complexity and estimation accuracy. This algorithm also can be extended to other Kalman filters for measurement subspace selection.

  1. Identifying, Implementing and Complying with Environment, Safety and Health Requirements

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1996-05-15T23:59:59.000Z

    This Policy sets forth the framework for identifying, implementing and complying with environment, safety and health (ES&H) requirements so that work is performed in the DOE complex in a manner that ensures adequate protection of workers, the public and the environment. Ownership of this policy is shared between GC and HS. Cancels DOE P 450.2. Canceled by DOE P 450.4A.

  2. Energy Cost Reduction Measures Identified for Texas State Agencies

    E-Print Network [OSTI]

    Grigg, T. J.; Verdict, M. E.

    1987-01-01T23:59:59.000Z

    conservation opportunities and capital intensive energy cost reduction measures. Though more square feet was audited in 1984, more utility cost savings per square foot were identified in 1986. Changes in the screening process, the audit report format... square foot for the audited facilities by building type. Maintenance and operation savings are included in this table. A sufficient number of academic buildings, medical research facilities, libraries, hospitals, and office buildings were audited...

  3. Methods for identifying an essential gene in a prokaryotic microorganism

    DOE Patents [OSTI]

    Shizuya, Hiroaki

    2006-01-31T23:59:59.000Z

    Methods are provided for the rapid identification of essential or conditionally essential DNA segments in any species of haploid cell (one copy chromosome per cell) that is capable of being transformed by artificial means and is capable of undergoing DNA recombination. This system offers an enhanced means of identifying essential function genes in diploid pathogens, such as gram-negative and gram-positive bacteria.

  4. Method for processing seismic data to identify anomalous absorption zones

    DOE Patents [OSTI]

    Taner, M. Turhan

    2006-01-03T23:59:59.000Z

    A method is disclosed for identifying zones anomalously absorptive of seismic energy. The method includes jointly time-frequency decomposing seismic traces, low frequency bandpass filtering the decomposed traces to determine a general trend of mean frequency and bandwidth of the seismic traces, and high frequency bandpass filtering the decomposed traces to determine local variations in the mean frequency and bandwidth of the seismic traces. Anomalous zones are determined where there is difference between the general trend and the local variations.

  5. Manual for Identifying and Protecting Official Use Only Information

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2003-04-09T23:59:59.000Z

    The manual provides detailed requirements to supplement DOE O 471.3. Admin Chg 1 dated 1-13-11. No cancellation.

  6. Portable data collection device with self identifying probe

    DOE Patents [OSTI]

    French, Patrick D. (Aurora, CO)

    1998-01-01T23:59:59.000Z

    The present invention provides a portable data collection device that has a variety of sensors that are interchangeable with a variety of input ports in the device. The various sensors include a data identification feature that provides information to the device regarding the type of physical data produced by each sensor and therefore the type of sensor itself. The data identification feature enables the device to locate the input port where the sensor is connected and self adjust when a sensor is removed or replaced. The device is able to collect physical data, whether or not a function of time. The sensor may also store a unique sensor identifier.

  7. Apparatus for controlling system state based on unique identifiers

    DOE Patents [OSTI]

    Drotning, William D. (Albuquerque, NM)

    2002-01-01T23:59:59.000Z

    An apparatus allows workers to assert and release control over the energization of a system. The apparatus does not require the workers to carry any additional paraphernalia, and is not be easily defeated by other workers. Users asserting and releasing control present tokens uniquely identifying each user to a reader, and the apparatus prevents transition of the system to an undesired state until an appropriate number of users are currently asserting control. For example, a dangerous manufacturing robot can be prevented from energizing until all the users that have asserted control when entering the robot's controlled space have subsequently released control when leaving the robot's controlled space.

  8. Will Jets Identify the Progenitors of Type Ia Supernovae?

    E-Print Network [OSTI]

    Mario Livio; Adam Riess; William Sparks

    2002-04-26T23:59:59.000Z

    We use the fact that a Type Ia supernova has been serendipitously discovered near the jet of the active galaxy 3C 78 to examine the question of whether jets can enhance accretion onto white dwarfs. One interesting outcome of such a jet-induced accretion process is an enhanced rate of novae in the vicinity of jets. We present results of observations of the jet in M87 which appear to have indeed discovered 11 novae in close proximity to the jet. We show that a confirmation of the relation between jets and novae and Type Ia supernovae can finally identify the elusive progenitors of Type Ia supernovae.

  9. GAMQUEST, A computer program to identify gamma rays

    SciTech Connect (OSTI)

    Brown, E.

    1994-05-01T23:59:59.000Z

    This paper describes the application of the computer program GAMQUEST to the study of gamma-ray spectra. The program is especially suited to the analysis of samples produced by neutron activation, and of environmental samples containing radioactive pollutants. GAMQUEST searches a large database (with data for over 60,000 gamma rays) to identify the various spectral lines from samples. The program runs on the VAX/6610 computer cluster of the Lawrence Berkeley Laboratory, and can be accessed from individual accounts or through Hepnet, Internet, or World Wide Web networks.

  10. DOE Identifies its Preferred Alternative for Certain Hanford Tank Wastes |

    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: Theof"Wave theJulyD&DDepartment of Energy Identifies its Preferred

  11. 1

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

    targets December 1, 2014 New technology puts bioinformatics within easy reach of health-care professionals, researchers and others LOS ALAMOS, N.M., Dec. 1, 2014-Los...

  12. Identifying Requirements for Effective Human-Automation Teamwork

    SciTech Connect (OSTI)

    Jeffrey C. Joe; John O'Hara; Heather D. Medema; Johanna H. Oxstrand

    2014-06-01T23:59:59.000Z

    Previous studies have shown that poorly designed human-automation collaboration, such as poorly designed communication protocols, often leads to problems for the human operators, such as: lack of vigilance, complacency, and loss of skills. These problems often lead to suboptimal system performance. To address this situation, a considerable amount of research has been conducted to improve human-automation collaboration and to make automation function better as a “team player.” Much of this research is based on an understanding of what it means to be a good team player from the perspective of a human team. However, the research is often based on a simplified view of human teams and teamwork. In this study, we sought to better understand the capabilities and limitations of automation from the standpoint of human teams. We first examined human teams to identify the principles for effective teamwork. We next reviewed the research on integrating automation agents and human agents into mixed agent teams to identify the limitations of automation agents to conform to teamwork principles. This research resulted in insights that can lead to more effective human-automation collaboration by enabling a more realistic set of requirements to be developed based on the strengths and limitations of all agents.

  13. Appropriate Acquisition Strategy PMLL Identifier: PMLL-2011-NNSS...

    Energy Savers [EERE]

    both fire stations in one RFP (with FS 1 as an option), the contractors would front load their proposals for FS 2 and also significantly increase the bid price for FS 1 to...

  14. Identifying the mechanisms of activated transcription factor 6 - mediated cardioprotection

    E-Print Network [OSTI]

    Belmont, Peter Joseph

    2010-01-01T23:59:59.000Z

    RW, Bedows E. Assisted protein folding. J Biol Chem. AustinProtein Folding .1 Protein Folding in the Endoplasmic

  15. Analysis of seven thermal bridges identified in a commercial building

    SciTech Connect (OSTI)

    Childs, K.W.

    1988-06-01T23:59:59.000Z

    Seven thermal bridges occurring in a large modern office building are identified. The impact that these bridges have on building envelope heat flow and minimum interior surface temperature is investigated using a finite-difference heat transfer computer program. Assumptions that are made in the development of two- and three-dimensional numerical models are discussed. Steady-state numerical models are employed to determine parameters that can be used to calculate corrections to the values for heat flow and interior surface temperatures obtained from one-dimensional analyses. The need for a means of characterizing the dynamic thermal response of bridges is also discussed, and two different numerical approaches to the calculation of response factors (or conduction transfer functions) are explored. 5 refs., 9 figs., 5 tabs.

  16. Analysis of seven thermal bridges identified in a commercial building

    SciTech Connect (OSTI)

    Childs, K.W.

    1988-01-01T23:59:59.000Z

    Seven thermal bridges occurring in a large modern office building are identified. The impact that these bridges have on building envelope heat flow and minimum interior surface temperature is investigated using a finite-difference heat transfer computer program. Assumptions that are made in the development of two- and three-dimensional numerical models are discussed. Steady-state numerical models are employed to determine parameters that can be used to calculate corrections to the values for heat flow and interior surface temperature obtained from one-dimensional analyses. The need for a means of characterizing the dynamic thermal response of bridges is also discussed, and two different numerical approaches to the calculation of response factors (or conduction transfer functions) are explored. 5 refs., 9 figs., 5 tabs.

  17. 70 DA WHITE DWARFS IDENTIFIED IN LAMOST PILOT SURVEY

    SciTech Connect (OSTI)

    Zhao, J. K.; Luo, A. L.; Zhao, G. [Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012 (China); Oswalt, T. D., E-mail: zjk@bao.ac.cn, E-mail: gzhao@bao.ac.cn, E-mail: lal@bao.ac.cn, E-mail: toswalt@fit.edu [Physics and Space Science Department, Florida Institute of Technology, Melbourne, FL 32901 (United States)

    2013-06-01T23:59:59.000Z

    We present a spectroscopically identified catalog of 70 DA white dwarfs (WDs) from the LAMOST pilot survey. Thirty-five are found to be new identifications after cross-correlation with the Eisenstein et al. and Villanova catalogs. The effective temperature and gravity of these WDs are estimated by Balmer lines fitting. Most of them are hot WDs. The cooling times and masses of these WDs are estimated by interpolation in theoretical evolution tracks. The peak of the mass distribution is found to be {approx}0.6 M {sub Sun }, which is consistent with prior work in the literature. The distances of these WDs are estimated using the method of synthetic spectral distances. All of these WDs are found to be in the Galactic disk from our analysis of space motions. Our sample supports the expectation that WDs with high mass are concentrated near the plane of the Galactic disk.

  18. Identifying Suitable Degradation Parameters for Individual-Based Prognostics

    SciTech Connect (OSTI)

    Coble, Jamie B.; Hines, Wes

    2012-09-30T23:59:59.000Z

    The ultimate goal of most prognostic systems is accurate prediction of the remaining useful life of individual systems or components based on their use and performance. Traditionally, individual-based prognostic methods use a measure of degradation to make lifetime estimates. Degradation measures may include sensed measurements, such as temperature or vibration level, or inferred measurements, such as model residuals or physics-based model predictions. Often, it is beneficial to combine several measures of degradation into a single parameter. Parameter features such as trendability, monotonicity, and prognosability can be used to compare candidate prognostic parameters to determine which is most useful for individual-based prognosis. By quantifying these features for a given parameter, the metrics can be used with any traditional optimization technique to identify an appropriate parameter. This parameter may be used with a parametric extrapolation model to make prognostic estimates for an individual unit. The proposed methods are illustrated with an application to simulated turbofan engine data.

  19. Method for identifying and probing phase transitions in materials

    DOE Patents [OSTI]

    Asay, Blaine W. (Los Alamos, NM); Henson, Bryan F. (Los Alamos, NM); Sander, Robert K. (Los Alamos, NM); Robinson, Jeanne M. (Los Alamos, NM); Son, Steven F. (Los Alamos, NM); Dickson, Peter M. (Los Alamos, NM)

    2002-01-01T23:59:59.000Z

    The present invention includes a method for identifying and probing phase transitions in materials. A polymorphic material capable of existing in at least one non-centrosymmetric phase is interrogated with a beam of laser light at a chosen wavelength and frequency. A phase transition is induced in the material while it is interrogated. The intensity of light scattered by the material and having a wavelength equal to one half the wavelength of the interrogating laser light is detected. If the phase transition results in the production of a non-centrosymmetric phase, the intensity of this scattered light increases; if the phase transition results in the disappearance of a non-centrosymmetric phase, the intensity of this scattered light decreases.

  20. Method To Identify Specific Inhibiutors Of Imp Dehydrogenase

    DOE Patents [OSTI]

    Collart, Frank R. (Bolingbrook, IL); Huberman, Eliezer (LaGrange, IL)

    2000-11-28T23:59:59.000Z

    This invention relates to methods to identify specific inhibitors of the purine nucleotide synthesis enzyme, IMP dehydrogenase (IMPDH). IMPDH is an essential enzyme found in all free-living organisms from humans to bacteria and is an important therapeutic target. The invention allows the identification of specific inhibitors of any IMPDH enzyme which can be expressed in a functional form in a recombinant host cell. A variety of eukaryotic or prokaryotic host systems commonly used for the expression of recombinant proteins are suitable for the practice of the invention. The methods are amenable to high throughput systems for the screening of inhibitors generated by combinatorial chemistry or other methods such as antisense molecule production. Utilization of exogenous guanosine as a control component of the methods allows for the identification of inhibitors specific for IMPDH rather than other causes of decreased cell proliferation.

  1. Interstellar HI Shells Identified in the SETHI Survey

    E-Print Network [OSTI]

    Sallmen, Shauna M; Bellehumeur, Brooke; Tennyson, Elizabeth M; Grunwald, Kurt; Lo, Cheuk Man

    2015-01-01T23:59:59.000Z

    Galactic HI (neutral hydrogen) shells are central to our understanding of the interstellar medium (ISM), which plays a key role in the development and evolution of galaxies, including our own. Several models involving supernovae and stellar winds have contributed to our broad understanding, but a complete, detailed picture remains elusive. To extend existing Galactic shell catalogs, we visually examined the SETHI (Search for Extraterrestrial HI) database to identify shell-like structures. This high-sensitivity 21-cm radio survey covering the Arecibo sky uniquely provides high-resolution data on shells at a wide range of Galactic latitudes. We present basic information (location, radial velocity, angular size, shape) for 74 previously unidentified HI shells. Due to limitations of coverage and data quality, and the biases inherent in search techniques, our catalog is not a complete sample of Galactic shells. We discuss the catalog completeness, and comment on the new shells' relationship with known interstellar...

  2. A methodology to identify material properties in layered visoelastic halfspaces

    E-Print Network [OSTI]

    Torpunuri, Vikram Simha

    1990-01-01T23:59:59.000Z

    UNKNOWN SYSTEM OUTPUT D FORWARD MODEL MODEL: M + \\ CI ~ OUTPUT ERROR a) NOISE INPUT + INPUT ERROR~ UNKNOWN SYSTEM INVERSE MODEL: M I OUTPUT D INVERSE MODEL b) NOISE UNK NOWN SYSTEM OUTPUT GENERALIZE= MODEL Ml M -I 2 c) GENERALIZED... that displacements vary linearly within each sublayer 25 Sensors 0 1 2 3 4 5 6 Layer 1 E' - E'(v) + iE" (v) E?m, t, Layer 2 E' E'(v) (1 + i8) E?8? t, Layer 3 E' E'(8) (1 + i8) E?8? t, Halfspace E* - E'(m) (1 + i8) E? 8? ~ Figure 4 Schematic...

  3. Summary of SMIRT20 Preconference Topical Workshop – Identifying Structural Issues in Advanced Reactors

    SciTech Connect (OSTI)

    William Richins; Stephen Novascone; Cheryl O'Brien

    2009-08-01T23:59:59.000Z

    Summary of SMIRT20 Preconference Topical Workshop – Identifying Structural Issues in Advanced Reactors William Richins1, Stephen Novascone1, and Cheryl O’Brien1 1Idaho National Laboratory, US Dept. of Energy, Idaho Falls, Idaho, USA, e-mail: William.Richins@inl.gov The Idaho National Laboratory (INL, USA) and IASMiRT sponsored an international forum Nov 5-6, 2008 in Porvoo, Finland for nuclear industry, academic, and regulatory representatives to identify structural issues in current and future advanced reactor design, especially for extreme conditions and external threats. The purpose of this Topical Workshop was to articulate research, engineering, and regulatory Code development needs. The topics addressed by the Workshop were selected to address critical industry needs specific to advanced reactor structures that have long lead times and can be the subject of future SMiRT technical sessions. The topics were; 1) structural/materials needs for extreme conditions and external threats in contemporary (Gen. III) and future (Gen. IV and NGNP) advanced reactors and 2) calibrating simulation software and methods that address topic 1 The workshop discussions and research needs identified are presented. The Workshop successfully produced interactive discussion on the two topics resulting in a list of research and technology needs. It is recommended that IASMiRT communicate the results of the discussion to industry and researchers to encourage new ideas and projects. In addition, opportunities exist to retrieve research reports and information that currently exists, and encourage more international cooperation and collaboration. It is recommended that IASMiRT continue with an off-year workshop series on select topics.

  4. 1

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

    begins demolition of Cold War-era buildings December 1, 2009 Walls come down sooner, thanks to Recovery Act funding Los Alamos, New Mexico, December 1, 2009 - Los Alamos National...

  5. 1

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

    Lab to perform slope-side cleanup near Smith's Marketplace May 1, 2015 Reducing historical footprint through environmental cleanup LOS ALAMOS, N.M., May 1, 2015- Los Alamos...

  6. #WomenInSTEM: Identifying an Opportunity for Change | Department of Energy

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversity |Department ofIdentifying an

  7. Systematic evaluation of satellite remote sensing for identifying uranium mines and mills.

    SciTech Connect (OSTI)

    Blair, Dianna Sue; Stork, Christopher Lyle; Smartt, Heidi Anne; Smith, Jody Lynn

    2006-01-01T23:59:59.000Z

    In this report, we systematically evaluate the ability of current-generation, satellite-based spectroscopic sensors to distinguish uranium mines and mills from other mineral mining and milling operations. We perform this systematic evaluation by (1) outlining the remote, spectroscopic signal generation process, (2) documenting the capabilities of current commercial satellite systems, (3) systematically comparing the uranium mining and milling process to other mineral mining and milling operations, and (4) identifying the most promising observables associated with uranium mining and milling that can be identified using satellite remote sensing. The Ranger uranium mine and mill in Australia serves as a case study where we apply and test the techniques developed in this systematic analysis. Based on literature research of mineral mining and milling practices, we develop a decision tree which utilizes the information contained in one or more observables to determine whether uranium is possibly being mined and/or milled at a given site. Promising observables associated with uranium mining and milling at the Ranger site included in the decision tree are uranium ore, sulfur, the uranium pregnant leach liquor, ammonia, and uranyl compounds and sulfate ion disposed of in the tailings pond. Based on the size, concentration, and spectral characteristics of these promising observables, we then determine whether these observables can be identified using current commercial satellite systems, namely Hyperion, ASTER, and Quickbird. We conclude that the only promising observables at Ranger that can be uniquely identified using a current commercial satellite system (notably Hyperion) are magnesium chlorite in the open pit mine and the sulfur stockpile. Based on the identified magnesium chlorite and sulfur observables, the decision tree narrows the possible mineral candidates at Ranger to uranium, copper, zinc, manganese, vanadium, the rare earths, and phosphorus, all of which are milled using sulfuric acid leaching.

  8. Framework for Identifying Key Environmental Concerns in Marine Renewable Energy Projects- Appendices

    SciTech Connect (OSTI)

    Sharon Kramer; Mirko Previsic; Peter Nelson; Sheri Woo

    2010-06-17T23:59:59.000Z

    Marine wave and tidal energy technology could interact with marine resources in ways that are not well understood. As wave and tidal energy conversion projects are planned, tested, and deployed, a wide range of stakeholders will be engaged; these include developers, state and federal regulatory agencies, environmental groups, tribal governments, recreational and commercial fishermen, and local communities. Identifying stakeholders’ environmental concerns in the early stages of the industry’s development will help developers address and minimize potential environmental effects. Identifying important concerns will also assist with streamlining siting and associated permitting processes, which are considered key hurdles by the industry in the U.S. today. In September 2008, RE Vision consulting, LLC was selected by the Department of Energy (DoE) to conduct a scenario-based evaluation of emerging hydrokinetic technologies. The purpose of this evaluation is to identify and characterize environmental impacts that are likely to occur, demonstrate a process for analyzing these impacts, identify the “key” environmental concerns for each scenario, identify areas of uncertainty, and describe studies that could address that uncertainty. This process is intended to provide an objective and transparent tool to assist in decision-making for siting and selection of technology for wave and tidal energy development. RE Vision worked with H. T. Harvey & Associates, to develop a framework for identifying key environmental concerns with marine renewable technology. This report describes the results of this study. This framework was applied to varying wave and tidal power conversion technologies, scales, and locations. The following wave and tidal energy scenarios were considered: ? 4 wave energy generation technologies ? 3 tidal energy generation technologies ? 3 sites: Humboldt coast, California (wave); Makapu’u Point, Oahu, Hawaii (wave); and the Tacoma Narrows, Washington (tidal) ? 3 project sizes: pilot, small commercial, and large commercial The possible combinations total 24 wave technology scenarios and 9 tidal technology scenarios. We evaluated 3 of the 33 scenarios in detail: 1. A small commercial OPT Power Buoy project off the Humboldt County, California coast 2. A small commercial Pelamis Wave Power P-2 project off Makapu’u Point, Oahu, Hawaii 3. A pilot MCT SeaGen tidal project, sited in the Tacoma Narrows, Washington This framework document used information available from permitting documents that were written to support actual wave or tidal energy projects, but the results obtained here should not be confused with those of the permitting documents1. The main difference between this framework document and permitting documents of currently proposed pilot projects is that this framework identifies key environmental concerns and describes the next steps in addressing those concerns; permitting documents must identify effects, find or declare thresholds of significance, evaluate the effects against the thresholds, and find mitigation measures that will minimize or avoid the effects so they can be considered less-than-significant. Two methodologies, 1) an environmental effects analysis and 2) Raptools, were developed and tested to identify potential environmental effects associated with wave or tidal energy conversion projects. For the environmental effects analysis, we developed a framework based on standard risk assessment techniques. The framework was applied to the three scenarios listed above. The environmental effects analysis addressed questions such as: ? What is the temporal and spatial exposure of a species at a site? ? What are the specific potential project effects on that species? ? What measures could minimize, mitigate, or eliminate negative effects? ? Are there potential effects of the project, or species’ response to the effect, that are highly uncertain and warrant additional study? The second methodology, Raptools, is a collaborative approach useful for evaluating multiple characteristi

  9. Genome sequencing of the Trichoderma reesei QM9136 mutant identifies...

    Office of Scientific and Technical Information (OSTI)

    GrantContract Number: AC02-05CH11231 Type: Accepted Manuscript Journal Name: BMC Genomics Additional Journal Information: Journal Volume: 16; Journal Issue: 1; Journal ID:...

  10. Identifying the Dominant Critical Soil for NM Planning

    E-Print Network [OSTI]

    Balser, Teri C.

    .2M LCDs cost share for farmers - $1 M lapse for 09 ­ $520K Implementation support · UW-Soils UW-NPM

  11. 1 GEP problem development 1.1 Simple GEP statement

    E-Print Network [OSTI]

    McCalley, James D.

    is used to identify the percentage of a windfarm's capacity which should be identified for reliability, MISO was using 13.3% capacity credit for wind [1]. Capacity credits for solar are generally higher

  12. Identifying high-redshift gamma-ray bursts with RATIR

    SciTech Connect (OSTI)

    Littlejohns, O. M.; Butler, N. R. [School of Earth and Space Exploration, Arizona State University, AZ 85287 (United States); Cucchiara, A. [Goddard Space Flight Center, Greenbelt, MD 20771 (United States); Watson, A. M.; Lee, W. H.; Richer, M. G.; De Diego, J. A.; Georgiev, L.; González, J.; Román-Zúñiga, C. G. [Instituto de Astronomía, Universidad Nacional Autónoma de México, Apartado Postal 70-264, 04510 México, D. F. (Mexico); Kutyrev, A. S.; Troja, E.; Gehrels, N.; Moseley, H. [NASA, Goddard Space Flight Center, Greenbelt, MD 20771 (United States); Klein, C. R.; Fox, O. D.; Bloom, J. S. [Astronomy Department, University of California, Berkeley, CA 94720-7450 (United States); Prochaska, J. X.; Ramirez-Ruiz, E. [Department of Astronomy and Astrophysics, UCO/Lick Observatory, University of California, 1156 High Street, Santa Cruz, CA 95064 (United States)

    2014-07-01T23:59:59.000Z

    We present a template-fitting algorithm for determining photometric redshifts, z {sub phot}, of candidate high-redshift gamma-ray bursts (GRBs). Using afterglow photometry, obtained by the Reionization and Transients InfraRed (RATIR) camera, this algorithm accounts for the intrinsic GRB afterglow spectral energy distribution, host dust extinction, and the effect of neutral hydrogen (local and cosmological) along the line of sight. We present the results obtained by this algorithm and the RATIR photometry of GRB 130606A, finding a range of best-fit solutions, 5.6 < z {sub phot} < 6.0, for models of several host dust extinction laws (none, the Milky Way, Large Magellanic Clouds, and Small Magellanic Clouds), consistent with spectroscopic measurements of the redshift of this GRB. Using simulated RATIR photometry, we find that our algorithm provides precise measures of z {sub phot} in the ranges of 4 < z {sub phot} ? 8 and 9 < z {sub phot} < 10 and can robustly determine when z {sub phot} > 4. Further testing highlights the required caution in cases of highly dust-extincted host galaxies. These tests also show that our algorithm does not erroneously find z {sub phot} < 4 when z {sub sim} > 4, thereby minimizing false negatives and allowing us to rapidly identify all potential high-redshift events.

  13. Identifying failure in a tree network of a parallel computer

    DOE Patents [OSTI]

    Archer, Charles J. (Rochester, MN); Pinnow, Kurt W. (Rochester, MN); Wallenfelt, Brian P. (Eden Prairie, MN)

    2010-08-24T23:59:59.000Z

    Methods, parallel computers, and products are provided for identifying failure in a tree network of a parallel computer. The parallel computer includes one or more processing sets including an I/O node and a plurality of compute nodes. For each processing set embodiments include selecting a set of test compute nodes, the test compute nodes being a subset of the compute nodes of the processing set; measuring the performance of the I/O node of the processing set; measuring the performance of the selected set of test compute nodes; calculating a current test value in dependence upon the measured performance of the I/O node of the processing set, the measured performance of the set of test compute nodes, and a predetermined value for I/O node performance; and comparing the current test value with a predetermined tree performance threshold. If the current test value is below the predetermined tree performance threshold, embodiments include selecting another set of test compute nodes. If the current test value is not below the predetermined tree performance threshold, embodiments include selecting from the test compute nodes one or more potential problem nodes and testing individually potential problem nodes and links to potential problem nodes.

  14. 1

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

    Los Alamos, and air monitoring programs from LANL and others have not detected airborne contamination more than 1 mile from the boundaries of Los Alamos County. The observed...

  15. 1

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

    the additional qualitative information box. EECBG Financing Program Annual Report Page 1 of 3 EECBG Financing Program Annual Report OMB control number (1910-5150) Expiration...

  16. 1

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

    Conservation is good, preservation is better May 1, 2013 3:26 See how LANL workers treat every day as Earth Day...

  17. 1

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

    described below effective October 26, 2012 and continuing. Findings 1. The Department of Energy (DOE) is required to provide contingency operation support in response to Hurricane...

  18. 1

    Office of Environmental Management (EM)

    Pennsylvania Written Remarks for the Department of Energy's Quadrennial Review Panel 1: Natural Gas Infrastructure - Historical and Current Monday, July 21, 2014 The exploration...

  19. 1

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

    Major New Mexico employers sign STEM education proclamation November 1, 2014 Six major employers in New Mexico are collaborating to put New Mexico on the forefront of science,...

  20. 1

    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 1,613Portsmouth Site »StrategicReferences Tips:MissionMixing1What's inAt3 ATTACHMENT G.27

  1. 1

    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 1,613Portsmouth Site »StrategicReferences Tips:MissionMixing1What's inAt3 ATTACHMENT G.27

  2. 1

    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 1,613Portsmouth Site »StrategicReferences Tips:MissionMixing1What's inAt3 ATTACHMENT G.27

  3. 1

    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 1,613Portsmouth Site »StrategicReferences Tips:MissionMixing1What's inAt3 ATTACHMENT G.27

  4. 1

    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 1,613Portsmouth Site »StrategicReferences Tips:MissionMixing1What's inAt3 ATTACHMENT G.271

  5. 1

    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 1,613Portsmouth Site »StrategicReferences Tips:MissionMixing1What's inAt3 ATTACHMENT G.2712

  6. 1

    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 1,613Portsmouth Site »StrategicReferences Tips:MissionMixing1What's inAt3 ATTACHMENT

  7. 1

    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 1,613Portsmouth Site »StrategicReferences Tips:MissionMixing1What's inAt3 ATTACHMENT

  8. 1

    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 1,613Portsmouth Site »StrategicReferences Tips:MissionMixing1What's inAt3 ATTACHMENT7

  9. 1

    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 1,613Portsmouth Site »StrategicReferences Tips:MissionMixing1What's inAt3 ATTACHMENT7

  10. 1

    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 1,613Portsmouth Site »StrategicReferences Tips:MissionMixing1What's inAt3 ATTACHMENT7

  11. 1

    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 1,613Portsmouth Site »StrategicReferences Tips:MissionMixing1What's inAt3 ATTACHMENT7

  12. 1

    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 1,613Portsmouth Site »StrategicReferences Tips:MissionMixing1What's inAt3 ATTACHMENT73

  13. 1

    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 1,613Portsmouth Site »StrategicReferences Tips:MissionMixing1What's inAt3 ATTACHMENT734

  14. 1

    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 1,613Portsmouth Site »StrategicReferences Tips:MissionMixing1What's inAt3 ATTACHMENT7345

  15. 1

    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 1,613Portsmouth Site »StrategicReferences Tips:MissionMixing1What's inAt3

  16. REMS Program Policy for submitting of Personally Identifiable Information

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

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  17. ALCF supercomputer helps identify materials to improve fuel production |

    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 742EnergyOnItemResearch >InternshipDepartmentNeutrino-Induced1 TEMPERATUREiiO E /

  18. Aged black carbon identified in marine dissolved organic carbon

    E-Print Network [OSTI]

    Ziolkowski, Lori A; Druffel, Ellen R.M.

    2010-01-01T23:59:59.000Z

    pool in the northeast Pacific Ocean, Deep Sea Res. , Part I,?445‰ in the deep NE Pacific Ocean (Table S1). The Suwanneein the northeast Pacific Ocean. If the BC in the Amazon

  19. Identifying two steps in the internal wave energy cascade

    E-Print Network [OSTI]

    Sun, Oliver Ming-Teh

    2010-01-01T23:59:59.000Z

    the more-typical open ocean energy cascade. Observations ofa skeleton of the open-ocean energy cascade. xx Chapter 1interaction and energy flux in the upper ocean. Geophys Res

  20. LEAN ENERGY ANALYSIS: IDENTIFYING, DISCOVERING AND TRACKING ENERGY SAVINGS POTENTIAL

    E-Print Network [OSTI]

    Kissock, Kelly

    and Fuel Cell Technologies Conference, Livonia, MI, Oct 11-13, 2004. 1 #12;For example, the anomaly, and for diagnostic purposes. Case study examples demonstrate the lean energy analysis method and its application

  1. analysis identifies genes: Topics by E-print Network

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

    applied to determine the core cell cycle genes in the recently Gent, Universiteit 490 Graeber et al. 2013 -Roles of Lepidium Seed Dormancy Genes 1 Spatio-temporal Seed Development...

  2. Quantifying Community Assembly Processes and Identifying Features that Impose Them

    SciTech Connect (OSTI)

    Stegen, James C.; Lin, Xueju; Fredrickson, Jim K.; Chen, Xingyuan; Kennedy, David W.; Murray, Christopher J.; Rockhold, Mark L.; Konopka, Allan

    2013-06-06T23:59:59.000Z

    Across a set of ecological communities connected to each other through organismal dispersal (a ‘meta-community’), turnover in composition is governed by (ecological) Drift, Selection, and Dispersal Limitation. Quantitative estimates of these processes remain elusive, but would represent a common currency needed to unify community ecology. Using a novel analytical framework we quantitatively estimate the relative influences of Drift, Selection, and Dispersal Limitation on subsurface, sediment-associated microbial meta-communities. The communities we study are distributed across two geologic formations encompassing ~12,500m3 of uranium-contaminated sediments within the Hanford Site in eastern Washington State. We find that Drift consistently governs ~25% of spatial turnover in community composition; Selection dominates (governing ~60% of turnover) across spatially-structured habitats associated with fine-grained, low permeability sediments; and Dispersal Limitation is most influential (governing ~40% of turnover) across spatially-unstructured habitats associated with coarse-grained, highly-permeable sediments. Quantitative influences of Selection and Dispersal Limitation may therefore be predictable from knowledge of environmental structure. To develop a system-level conceptual model we extend our analytical framework to compare process estimates across formations, characterize measured and unmeasured environmental variables that impose Selection, and identify abiotic features that limit dispersal. Insights gained here suggest that community ecology can benefit from a shift in perspective; the quantitative approach developed here goes beyond the ‘niche vs. neutral’ dichotomy by moving towards a style of natural history in which estimates of Selection, Dispersal Limitation and Drift can be described, mapped and compared across ecological systems.

  3. 1

    Office of Legacy Management (LM)

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  4. 1

    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 AugustAFRICAN3uj:'I,\ W:'.()r'1 Through March

  5. 1

    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 AugustAFRICAN3uj:'I,\ W:'.()r'1 Through March

  6. 1

    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 AugustAFRICAN3uj:'I,\ W:'.()r'1 Through March2

  7. 1

    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 AugustAFRICAN3uj:'I,\ W:'.()r'1 Through

  8. 1

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

    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 1,613 122 40Coal Stocks at Commercial andSeptember 25,9,1996 N Y M E XDeliveries0Performance

  9. 1

    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 groupTuba City,EnrichedSupplemental DirectivesWorkNNSA News â—‹ â—‹1 Summary of

  10. 1

    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 groupTuba City,EnrichedSupplemental DirectivesWorkNNSA News â—‹ â—‹1 Summary of

  11. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM era:2-04) SECTIONCN1-02)

  12. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM era:2-04)Title:1-03-2010)

  13. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM8) Section IIEl2-99)1-02)

  14. DCAMKL-1 expression identifies tuft cells rather than stem cells in the adult mouse intestinal epithelium

    E-Print Network [OSTI]

    Boyer, Edmond

    differentiation markers. Tuft cells, also known as brush, caveolated, multivesicular or fibrillovesicular cells, are found in the hollow organs of the GI tract and in respiratory organs 6 . They are reliably distinguished

  15. Blau Syndrome polymorphisms in NOD2 identify nucleotide hydrolysis and Helical Domain 1 as signalling regulators

    E-Print Network [OSTI]

    Parkhouse, Rhiannon; Boyle, Joseph P.; Monie, Tom P.

    2014-08-02T23:59:59.000Z

     with susceptibility to graft?265   versus?host disease in a Japanese population. Int. J. Hematol. 93,  771–8  266  30   Khubchandani, R. et al. (2011) Aortoarteritis and cardiomyopathy in a child with Blau 267  Syndrome. Pediatr. Rheumatol. 9,  P36 268   31   Edgar, R. C. (2004... population. Int. J. Hematol. 93, 771–778. [29] Khubchandani, R. et al. (2011) Aortoarteritis and cardiomyopathy in a child with Blau syndrome. Pediatr. Rheumatol. 9, P36. [30] Edgar, R.C. (2004) MUSCLE: multiple sequence alignment with high accuracy and high...

  16. Modeling Complex Control Systems to Identify Remotely Accessible Devices Vulnerable to Cyber Attack1

    E-Print Network [OSTI]

    Krings, Axel W.

    : Security, Vulnerabilities, Cyber Attack, Critical Infrastructure Protection, Electric Power Management present a model developed for Electric Power Management Systems (EPMS) and Supervisory Control and Data vulnerable to cyber attack. We use graph theory to model electric power control and protection devices

  17. Action 1b: Analysis of WP&C Deficiencies Identified by the DNFSB

    Office of Environmental Management (EM)

    performing was, in fact, part of the work package. 35 Example from ORPS Reports HEPA Vacuum Sludge Removal Performed without a Radiation Work Permit This occurrence highlights...

  18. (1)

    Energy Savers [EERE]

    department of the City of Los Angeles that supplies both safe and reliable water and power to Los Angeles' residents, approximately 1.4 million customers, pursuant to the Los...

  19. 1

    Office of Environmental Management (EM)

    May 1999 Chapter Addition Revision 2.1 was made to add Chapter 19, "Sanitary Liquid Waste." Only the headers of pages that changed due to this revision show this new revision...

  20. Identify Institutional Change Rules, Roles, and Tools Constituting Context

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

    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 742Energy ChinaofSchaefer To:Department ofOralGovernmentStandardsIdahoby GOURLEY, PAULfor

  1. Identifying Non-Federal Cooperating Agencies in Implementing the Procedural

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

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  2. Identifying Renewable Energy Projects for Federal Agencies | Department of

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

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  3. Protecting FWP Participant Personally Identifiable Information/Protected

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

    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 April 23, 2014, an OHASeptember 2010 |of EnergySelected

  4. IDENTIFYING GENES CONTROLLING FERULATE CROSS-LINKING FORMATION IN GRASS

    Office of Scientific and Technical Information (OSTI)

    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 AprilAElectronic InputRudolphMATERIALSInformationUniversity)WPreprintCELL WALLS |

  5. National Renewable Energy Laboratory Report Identifies Research Needed to

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

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  6. Microsoft Word - IDENTIFY AND PROTECT YOUR VITAL RECORDS

    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 33Frequently Asked Questions forCheneyNovember S.Fluor-B&W OE-781R DOE RFI on SmartI I D D E E N

  7. Addressing Challenges of Identifying Geometrically Diverse Sets of

    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,ARMForms About Become agovEducationWelcome FinancialScienceHowMINER

  8. 1.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

    E-Print Network [OSTI]

    Tanaka, Jiro

    ( ) 2011 3 #12;#12;1 1 1.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1.2 . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1.3 . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.2.1

  9. Identifying Redundant Linear Constraints in Systems of Linear ...

    E-Print Network [OSTI]

    2006-06-22T23:59:59.000Z

    Jun 22, 2006 ... redundant linear constraints from the system (2.1) and (2.2). ... It is informative to note that in the above theorem, the optimal ..... S. Boyd and L. El Ghaoui, “Linear Matrix Inequalities in System and Control Theory”, SIAM, vol.

  10. Biomarkers identified with time-lapse imaging: discovery, validation, and

    E-Print Network [OSTI]

    by time-lapse imaging and correlated with clinical outcomes, may provide embryologists with new-lapse marker, it focuses on the criteria necessary for their successful integration into clinical practice, including [1] statistical and biological significance, [2] validation through prospec- tive clinical studies

  11. Basic guide to identifying Spartina alterniflora marsh arthropods

    E-Print Network [OSTI]

    Pennings, Steven C.

    the nitrogen manipulation experiment (Ecological Archives E091-233-A1). #12;Class: Insecta Order: Hemiptera #12;Order: Hemiptera Suborder: Auchenorrhyncha Family: Delphacidae Herbivorous Common name: delphacid; lightly colored; slim form Photo: B. McCall Photo: B. McCall #12;Order: Hemiptera Family: Delphacidae

  12. 1

    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 AugustAFRICAN3uj:'I,\ W:'.()r' 2J ;3:7I- i.,

  13. 1

    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 AugustAFRICAN3uj:'I,\ W:'.()r' 2J ;3:7I- i.,D

  14. 1

    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 AugustAFRICAN3uj:'I,\ W:'.()r' 2J ;3:7I- i.,D3

  15. 1

    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 AugustAFRICAN3uj:'I,\ W:'.()r' 2J ;3:7I- i.,D3

  16. 1

    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 AugustAFRICAN3uj:'I,\ W:'.()r' 2J ;3:7I-

  17. 1

    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 AugustAFRICAN3uj:'I,\ W:'.()r' 2J ;3:7I-Ground

  18. 1

    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 AugustAFRICAN3uj:'I,\ W:'.()r' 2J

  19. 1

    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 AugustAFRICAN3uj:'I,\ W:'.()r' 2JReport Second

  20. 1

    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 AugustAFRICAN3uj:'I,\ W:'.()r' 2JReport

  1. 1

    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 AugustAFRICAN3uj:'I,\ W:'.()r' 2JReportReport,

  2. 1

    Office of Legacy Management (LM)

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  3. 1

    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 ScienceandMesa del(ANL-IN-03-032) - Energy Innovation Portal AdvancedUsingLi6,6,0 Dear093,1 IAmong

  4. 1

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  5. 1

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  6. 1

    Office of Environmental Management (EM)

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  7. 1

    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 1112011 Strategic2UraniumEnergy CityDepartment of EnergyOffice2 September 2013 Doc. No.

  8. 1

    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 1112011 Strategic2UraniumEnergy CityDepartment of EnergyOffice2 September 2013 Doc. No.J

  9. (1)

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

    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 742Energy China 2015ofDepartment ofCBFO-13-3322 2013 ANNUALThis document instructs on how to

  10. 1

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

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  11. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclear SecurityFeb8-1998STA N FO03

  12. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclear SecurityFeb8-1998STA N

  13. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclear SecurityFeb8-1998STA Nworld's

  14. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclear SecurityFeb8-1998STA

  15. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclear SecurityFeb8-1998STAPunched

  16. 1

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

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  17. 1

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  18. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM era: 1960-64 July 10,

  19. 1

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

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  20. 1

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  1. 1

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  2. 1

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

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  3. 1

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

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  4. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM era: 1960-6401-02)

  5. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM era: 1960-6401-02)-CI

  6. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM era: 1960-6401-02)-CI0-99)

  7. 1

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  8. 1

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    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM era:2-04) SECTION II

  9. 1

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

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  10. 1

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    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM era:2-04) SECTION

  11. 1

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  12. 1

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  13. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM era:2-04)Title: Standard

  14. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM era:2-04)Title: Standard0

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    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM era:2-04)Title:

  16. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM

  17. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM8) Section II STANDARD

  18. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM8) Section II STANDARDCR

  19. 1

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    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM8) Section II

  20. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM8) Section IIEl (01-02)

  1. 1

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    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM8) Section IIEl

  2. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM8) Section IIEl2-99)

  3. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM8) Section

  4. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM8) SectionFP (10-98)

  5. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM8) SectionFP (10-98)0-99)

  6. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM8) SectionFP

  7. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM8) SectionFP03-09) SECTION

  8. 1

    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 742EnergyOnItemResearch >Internship ProgramBiomassUniversityNuclearIBM8) SectionFP03-09)

  9. 1

    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/%2A en NGSI Safeguardssun 2-2Issued

  10. 1

    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/%2A en NGSI Safeguardssun

  11. 1

    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 | National01 Sandia

  12. 1

    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 currentBradleyTableSelling Corp -KWatertown Arsenal' TO:

  13. 1

    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 currentBradleyTableSelling Corp -KWatertown Arsenal' TO:Sherwood,

  14. 1

    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 currentBradleyTableSelling Corp -KWatertown Arsenal' TO:Sherwood, , ' ! i _

  15. 1

    Office of Legacy Management (LM)

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  16. 1

    Office of Legacy Management (LM)

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  17. Standoff Spectroscopy Using a Conditioned Target Identifies Hazardous

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  18. Supercomputers help ORNL researchers identify key molecular switch that

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  19. Identifying Transition State Features of Enzymatic Conformational Cycles |

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  20. Identifying and Overcoming Critical Barriers to Widespread Second Use of

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  1. Yes; specific technologies not identified | Open Energy Information

    Open Energy Info (EERE)

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  2. Crystal Structure and Functional Analysis Identify Evolutionary Secret of

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  3. Using biomarkers to identify traumatic brain injury for soldiers, sports

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

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  4. Nanomechanical Sensor Detects and Identifies Chemical Analytes - Energy

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  5. National Renewable Energy Laboratory Report Identifies Research Needed to

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

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  6. Identifying Biomarkers and Mechanisms of Toxic Metal Stress with Global Proteomics

    SciTech Connect (OSTI)

    Miller, Susan M.

    2012-04-16T23:59:59.000Z

    Hg is a wide-spread contaminant in the environment and is toxic in all of its various forms. Data suggest that RHg+ and Hg2+ are toxic in two ways. At low levels, Hg species appear to disrupt membrane-bound respiration causing a burst of reactive oxygen species (ROS) that further damage the cell. At higher Hg concentrations, RHg+ and Hg2+ may form adducts with cysteine- and selenocysteine-containing proteins in all cellular compartments resulting in their inactivation. Although these mechansims for toxicity are generally accepted, the most sensitive targets associated with these mechanisms are not well understood. In this collaborative project involving three laboratories at three institutions, the overall goal was to develop of a mass spectrometry-based global proteomics methodology that could be used to identify Hg-adducted (and ideally, ROS-damaged) proteins in order to address these types of questions. The two objectives of this overall collaborative project were (1) to identify, quantify, and compare ROS- and Hg-damaged proteins in cells treated with various Hg species and concentrations to test this model for two mechanisms of Hg toxicity, and (2) to define the cellular roles of the ubiquitous bacterial mercury resistance (mer) locus with regards to how the proteins of this pathway interact to protect other cell proteins from Hg damage. The specific objectives and accomplishments of the Miller lab in this project included: (1) Development of algorithms for analysis of the Hg-proteomic mass spectrometry data to identify mercury adducted peptides and other trends in the data. (2) Investigation of the role of mer operon proteins in scavenging Hg(II) from other mer pathway proteins as a means of protecting cellular proteins from damage.

  7. Identifying Longitudinal Jitter Sources in the LCLS Linac

    SciTech Connect (OSTI)

    Decker, Franz-Josef; /SLAC; Akre, Ron; /SLAC; Brachmann, Axel; /SLAC; Craft, Jim; /SLAC; Ding, Yuantao; /SLAC; Dowell, David; /SLAC; Emma, Paul; /SLAC; Frisch, Josef; /SLAC; Huang, Zhirong; /SLAC; Iverson, Richard; /SLAC; Krasnykh, Anatoly; /SLAC; Loos, Henrik; /SLAC; Nuhn, Heinz-Dieter; /SLAC; Ratner, Daniel; /SLAC; Smith, Tonee; /SLAC; Turner, James; /SLAC; Welch, James; /SLAC; White, William; /SLAC; Wu, Juhao; /SLAC

    2012-07-06T23:59:59.000Z

    The Linac Coherent Light Source (LCLS) at SLAC is an x-ray Free Electron Laser (FEL) with wavelengths of 0.15 nm to 1.5 nm. The electron beam stability is important for good lasing. While the transverse jitter of the beam is about 10-20% of the rms beam sizes, the jitter in the longitudinal phase space is a multiple of the energy spread and bunch length. At the lower energy of 4.3 GeV (corresponding to the longest wavelength of 1.5 nm) the relative energy jitter can be 0.125%, while the rms energy spread is with 0.025% five times smaller. An even bigger ratio exists for the arrival time jitter of 50 fs and the bunch duration of about 5 fs (rms) in the low charge (20 pC) operating mode. Although the impact to the experiments is reduced by providing pulse-by-pulse data of the measured energy and arrival time, it would be nice to understand and mitigate the root causes of this jitter. The thyratron of the high power supply of the RF klystrons is one of the main contributors. Another suspect is the multi-pacting in the RF loads. Phase measurements down to 0.01 degree (equals 10 fs) along the RF pulse were achieved, giving hints to the impact of the different sources.

  8. 1

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  9. Identifying some high risk populations for mental retardation

    E-Print Network [OSTI]

    Duesterhoft, Kenneth Wayne

    1980-01-01T23:59:59.000Z

    - ' $3 0 It- 0 cC 5- O 0 Cl I 0 0 IO X 0 I IG C! OJ O dl III lO 0 0 I/l Cl O m I 0 0 I? Since maternal age is a continuous variable and such a variable cannot be subjected to a chi square it was necessary to categor1ze this data...'s Family 2I K X ILI 0 Y ?I IZ IL O og I? ILI z w In ILI 0 I- ILI I- ~z O O LLJ O C) (f) 22 FIGURE 4 Relative Frequencies of the Distribution of Institutionalized IG) and Community Based (CG) Groups of Mentally Retarded Individuals...

  10. Statistical Analyses of Scatterplots to Identify Important Factors in Large-Scale Simulations

    SciTech Connect (OSTI)

    Kleijnen, J.P.C.; Helton, J.C.

    1999-04-01T23:59:59.000Z

    The robustness of procedures for identifying patterns in scatterplots generated in Monte Carlo sensitivity analyses is investigated. These procedures are based on attempts to detect increasingly complex patterns in the scatterplots under consideration and involve the identification of (1) linear relationships with correlation coefficients, (2) monotonic relationships with rank correlation coefficients, (3) trends in central tendency as defined by means, medians and the Kruskal-Wallis statistic, (4) trends in variability as defined by variances and interquartile ranges, and (5) deviations from randomness as defined by the chi-square statistic. The following two topics related to the robustness of these procedures are considered for a sequence of example analyses with a large model for two-phase fluid flow: the presence of Type I and Type II errors, and the stability of results obtained with independent Latin hypercube samples. Observations from analysis include: (1) Type I errors are unavoidable, (2) Type II errors can occur when inappropriate analysis procedures are used, (3) physical explanations should always be sought for why statistical procedures identify variables as being important, and (4) the identification of important variables tends to be stable for independent Latin hypercube samples.

  11. Identifying Isotropic Events Using a Regional Moment Tensor Inversion

    SciTech Connect (OSTI)

    Ford, S R; Dreger, D S; Walter, W R

    2008-11-04T23:59:59.000Z

    We calculate the deviatoric and isotropic source components for 17 explosions at the Nevada Test Site, as well as 12 earthquakes and 3 collapses in the surrounding region of the western US, using a regional time-domain full waveform inversion for the complete moment tensor. The events separate into specific populations according to their deviation from a pure double-couple and ratio of isotropic to deviatoric energy. The separation allows for anomalous event identification and discrimination between explosions, earthquakes, and collapses. Confidence regions of the model parameters are estimated from the data misfit by assuming normally distributed parameter values. We investigate the sensitivity of the resolved parameters of an explosion to imperfect Earth models, inaccurate event depths, and data with low signal-to-noise ratio (SNR) assuming a reasonable azimuthal distribution of stations. In the band of interest (0.02-0.10 Hz) the source-type calculated from complete moment tensor inversion is insensitive to velocity models perturbations that cause less than a half-cycle shift (<5 sec) in arrival time error if shifting of the waveforms is allowed. The explosion source-type is insensitive to an incorrect depth assumption (for a true depth of 1 km), and the goodness-of-fit of the inversion result cannot be used to resolve the true depth of the explosion. Noise degrades the explosive character of the result, and a good fit and accurate result are obtained when the signal-to-noise ratio (SNR) is greater than 5. We assess the depth and frequency dependence upon the resolved explosive moment. As the depth decreases from 1 km to 200 m, the isotropic moment is no longer accurately resolved and is in error between 50-200%. However, even at the most shallow depth the resultant moment tensor is dominated by the explosive component when the data have a good SNR.

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  1. 1

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  11. 1

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  12. 1

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  13. 1

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  14. 1

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  15. 1

    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 ScienceandMesa del(ANL-IN-03-032) - Energy InnovationMulti-Angle RemoteEffect of Surface Albedo

  16. 1

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  17. 1

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  18. 1

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  19. 1

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  1. 1

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  2. 1

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  3. 1

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  4. 1

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  5. 1

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  6. 1

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    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 ScienceandMesa del(ANL-IN-03-032) - Energy InnovationMulti-Angle RemoteEffectScale Dependence

  7. 1

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  8. 1

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    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 ScienceandMesa del(ANL-IN-03-032) - Energy InnovationMulti-Angle RemoteEffectScalethe Influence

  10. 1

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    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 ScienceandMesa del(ANL-IN-03-032) - Energy InnovationMulti-Angle RemoteEffectScalethe InfluenceUse of

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  13. 1

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    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 ScienceandMesa del(ANL-IN-03-032) - Energy InnovationMulti-Angle RemoteEffectScaletheIntercomparison

  14. 1

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    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 ScienceandMesa del(ANL-IN-03-032) - Energy InnovationMulti-AngleIntegrated Study of MFRSR-Derived

  16. 1

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    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 ScienceandMesa del(ANL-IN-03-032) - Energy InnovationMulti-AngleIntegrated Study of

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    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 ScienceandMesa del(ANL-IN-03-032) - Energy InnovationMulti-AngleIntegrated Study ofSGP Site Scientist

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  1. 1

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    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 ScienceandMesa del(ANL-IN-03-032) - Energy InnovationMulti-AngleIntegrated Study ofSGP

  2. 1

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    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 ScienceandMesa del(ANL-IN-03-032) - Energy InnovationMulti-AngleIntegrated Study ofSGPCirrus Radiative

  3. 1

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  4. 1

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    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 ScienceandMesa del(ANL-IN-03-032) - Energy InnovationMulti-AngleIntegrated Study ofSGPCirrusTurbulent

  5. 1

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  6. 1

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    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 ScienceandMesa del(ANL-IN-03-032) - Energy InnovationMulti-AngleIntegrated StudyComparisons with the

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  8. 1

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  9. 1

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  11. 1

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    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 ScienceandMesa del(ANL-IN-03-032) - Energy InnovationMulti-AngleIntegratedIntegrated Cloud Liquid and

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  14. 1

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  15. 1

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  17. 1

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  18. 1

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  19. 1

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  20. 1

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