Sample records for distribution table formats

  1. Note: 2005 Changes in Coal Distribution Table Format and Data Sources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar Apr May Jun Jul Aug Sep Oct(Dollars819and

  2. A distributed Hash table

    E-Print Network [OSTI]

    Dabek, Frank (Frank Edward), 1977-

    2006-01-01T23:59:59.000Z

    DHash is a new system that harnesses the storage and network resources of computers distributed across the Internet by providing a wide-area storage service, DHash. DHash frees applications from re-implementing mechanisms ...

  3. angular distribution tables: Topics by E-print Network

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

    other and the angular distribution of galaxies is quite naturally compatible with a fractal structure with D approx 2. M. Montuori; F. Sylos-Labini 1997-06-30 2 Angular...

  4. 2003 CBECS RSE Tables

    Gasoline and Diesel Fuel Update (EIA)

    of the Excel tables (access from main detailed tables page) or in PDF format here: Building Characteristics for All Buildings (Tables A1-A8) RSE Tables: PDF, 16 pages, 312KB...

  5. Formation and distribution of benzene on Titan V. Vuitton,1

    E-Print Network [OSTI]

    Yelle, Roger V.

    Formation and distribution of benzene on Titan V. Vuitton,1 R. V. Yelle,1 and J. Cui1 Received 29 a study of the formation and distribution of benzene (C6H6) on Titan. Analysis of the Cassini Mass Spectrometer (INMS) measurements of benzene densities on 12 Titan passes shows that the benzene signal exhibits

  6. Network Formation: Neighborhood Structures, Establishment Costs, and Distributed Learning

    E-Print Network [OSTI]

    Shamma, Jeff S.

    1 Network Formation: Neighborhood Structures, Establishment Costs, and Distributed Learning desirable properties such as connectivity, bounded-hop diameter and efficiency (i.e., minimum number several issues related to energy conservation, information and computational complexity. Thus, recent

  7. Table lamp with dynamically controlled lighting distribution and uniformly illuminated luminous shade

    DOE Patents [OSTI]

    Siminovitch, Michael J. (Pinole, CA); Page, Erik R. (Berkeley, CA)

    2002-01-01T23:59:59.000Z

    A double lamp table or floor lamp lighting system has a pair of compact fluorescent lamps (CFLs) or other lamps arranged vertically, i.e. one lamp above the other, with a reflective septum in between. By selectively turning on one or both of the CFLs, down lighting, up lighting, or both up and down lighting is produced. The control system can also vary the light intensity from each CFL. The reflective septum ensures that almost all the light produced by each lamp will be directed into the desired light distribution pattern which is selected and easily changed by the user. In a particular configuration, the reflective septum is bowl shaped, with the upper CFL sitting in the bowl, and a luminous shade hanging down from the bowl. The lower CFL provides both task lighting and uniform shade luminance. Planar compact fluorescent lamps, e.g. circular CFLs, particularly oriented horizontally, are preferable. CFLs provide energy efficiency. However, other types of lamps, including incandescent, halogen, and LEDs can also be used in the fixture. The lighting system may be designed for the home, hospitality, office or other environments.

  8. Table Search (or Ranking Tables)

    E-Print Network [OSTI]

    Halevy, Alon

    ;Table Search #3 #12;Outline · Goals of table search · Table search #1: Deep Web · Table search #3 search Table search #1: Deep Web · Table search #3: (setup): Fusion Tables · Table search #2: WebTables ­Version 1: modify document search ­Version 2: recover table semantics #12;Searching the Deep Web store

  9. THE NATURE OF STARBURSTS. III. THE SPATIAL DISTRIBUTION OF STAR FORMATION

    SciTech Connect (OSTI)

    McQuinn, Kristen B. W.; Skillman, Evan D. [Minnesota Institute for Astrophysics, School of Physics and Astronomy, 116 Church Street, S.E., University of Minnesota, Minneapolis, MN 55455 (United States); Dalcanton, Julianne J.; Weisz, Daniel R.; Williams, Benjamin F. [Department of Astronomy, University of Washington, Box 351580, Seattle, WA 98195 (United States); Cannon, John M. [Department of Physics and Astronomy, Macalester College, 1600 Grand Avenue, Saint Paul, MN 55105 (United States); Dolphin, Andrew E. [Raytheon Company, 1151 E. Hermans Road, Tucson, AZ 85756 (United States); Holtzman, Jon, E-mail: kmcquinn@astro.umn.edu [Department of Astronomy, New Mexico State University, Box 30001-Department 4500, 1320 Frenger Street, Las Cruces, NM 88003 (United States)

    2012-11-01T23:59:59.000Z

    We map the spatial distribution of recent star formation over a few Multiplication-Sign 100 Myr timescales in 15 starburst dwarf galaxies using the location of young blue helium burning stars identified from optically resolved stellar populations in archival Hubble Space Telescope observations. By comparing the star formation histories from both the high surface brightness central regions and the diffuse outer regions, we measure the degree to which the star formation has been centrally concentrated during the galaxies' starbursts, using three different metrics for the spatial concentration. We find that the galaxies span a full range in spatial concentration, from highly centralized to broadly distributed star formation. Since most starbursts have historically been identified by relatively short timescale star formation tracers (e.g., H{alpha} emission), there could be a strong bias toward classifying only those galaxies with recent, centralized star formation as starbursts, while missing starbursts that are spatially distributed.

  10. Mineralogical analysis and uranium distribution of the sediments from the upper Jackson formation, Karnes County, Texas

    E-Print Network [OSTI]

    Fishman, Paul Harold

    1978-01-01T23:59:59.000Z

    of the reouirement for the degree of MASTER OF SCIENCE December 1978 Major Subject: Geology MINERALOGICAL ANALYSIS AND URANIUM DISTRIBUTION OF THE SEDIMENTS FROM THE UPPER JACKSON FORMATION KARNES COUNTY, TEXAS A Thesis by PAUL HAROLD FISHMAN Approved... as to style and content by: Chairman o Commrttee ea o Department lf (/ ~ s Member Member December 1978 ABSTRACT Mineralogical Analysis and Uranium Distribution of the Sediments from the Upper Jackson Formation Karnes County, Texas (December 1978...

  11. The influence of particle-size distribution and moisture levels on the formation of soil hardpans

    E-Print Network [OSTI]

    Bauer, Herman John

    1963-01-01T23:59:59.000Z

    THE INFLUENCE OF PARTICLE-SIZE DISTRIBUTION AND MOISTURE LEVELS ON THE FORMATION OF SOIL HARDPANS A Thesis By HERMAN J. BAUER Submitted to the Graduate School of the Agricultural and Mechanical College of Texas in partial fulfillment... of the requirements for the degree of MASTER OF SCIENCE January, 1963 Major Subject: Soil Physics THE INFLUENCE OF PARTICLE-SIZE DISTRIBUTION AND MOISTURE LEVELS ON THE FORMATION OF SOIL HARDPANS A Thesis By HERMAN J. BAUER Approved as to style and content...

  12. The influence of particle-size distribution and moisture levels on the formation of soil hardpans 

    E-Print Network [OSTI]

    Bauer, Herman John

    1963-01-01T23:59:59.000Z

    THE INFLUENCE OF PARTICLE-SIZE DISTRIBUTION AND MOISTURE LEVELS ON THE FORMATION OF SOIL HARDPANS A Thesis By HERMAN J. BAUER Submitted to the Graduate School of the Agricultural and Mechanical College of Texas in partial fulfillment... of the requirements for the degree of MASTER OF SCIENCE January, 1963 Major Subject: Soil Physics THE INFLUENCE OF PARTICLE-SIZE DISTRIBUTION AND MOISTURE LEVELS ON THE FORMATION OF SOIL HARDPANS A Thesis By HERMAN J. BAUER Approved as to style and content...

  13. Modeling the formation and size distribution of fly ash

    SciTech Connect (OSTI)

    Dahlin, R.S.

    1985-01-01T23:59:59.000Z

    A set of mathematical models has been developed to predict the size distribution of fly ash particles formed in pulverized coal combustion. The large particle mode of the size distribution, typically centered about 10 to 20 ..mu..m, is predicted by a simple breakup model that is based on the complete coalescence of molten mineral inclusions within fragments of the devolatilized coal char. The ultrafine particle mode, that is typically centered about 0.1 to 0.2 ..mu..m, is modeled in terms of ash volatilization, nucleation, and coagulation. Silica and alumina are reduced to volatile suboxides through reactions at the char surface. The volatile suboxides are transported from the char surface where they are oxidized back to the stable oxides in the bulk gas, and then nucleated in accordance with homogeneous nucleation theory. The ultrafine nuclei coagulate in accordance with Brownian coagulation theory. The predicted particle size spectra have been compared to measured size distributions from a pilot-scale combustor and a full-scale utility boiler. Considering the disproportionate loss of coarse particles in the pilot-scale unit, the agreement between the predicted and measured size distributions was considered reasonably good. Both the predicted ultrafine and large particle modes agreed reasonably well with the measured particle size distribution for the full scale boiler. The validated computer models were used to study the effect of changes in the coal ash content, coal particle size, and the combustion flame temperature.

  14. Annual Coal Distribution Tables

    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 40CoalLease(Billion CubicPotentialNov-14 Dec-14 Jan-1538,469 39,194Dry4,645

  15. Annual Coal Distribution Tables

    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 40CoalLease(Billion CubicPotentialNov-14 Dec-14 Jan-1538,469 39,194Dry4,645Domestic

  16. Annual Coal Distribution Tables

    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 40CoalLease(Billion CubicPotentialNov-14 Dec-14 Jan-1538,469

  17. Formation of electron kappa distributions due to interactions with parallel propagating whistler waves

    SciTech Connect (OSTI)

    Tao, X., E-mail: xtao@ustc.edu.cn; Lu, Q. [CAS Key Laboratory of Geospace Environment, Department of Geophysics and Planetary Sciences, University of Science and Technology of China, Hefei, Anhui 230026 (China) [CAS Key Laboratory of Geospace Environment, Department of Geophysics and Planetary Sciences, University of Science and Technology of China, Hefei, Anhui 230026 (China); Mengcheng National Geophysical Observatory, School of Earth and Space Sciences, University of Science and Technology of China, Hefei, Anhui 230026 (China)

    2014-02-15T23:59:59.000Z

    In space plasmas, charged particles are frequently observed to possess a high-energy tail, which is often modeled by a kappa-type distribution function. In this work, the formation of the electron kappa distribution in generation of parallel propagating whistler waves is investigated using fully nonlinear particle-in-cell (PIC) simulations. A previous research concluded that the bi-Maxwellian character of electron distributions is preserved in PIC simulations. We now demonstrate that for interactions between electrons and parallel propagating whistler waves, a non-Maxwellian high-energy tail can be formed, and a kappa distribution can be used to fit the electron distribution in time-asymptotic limit. The ?-parameter is found to decrease with increasing initial temperature anisotropy or decreasing ratio of electron plasma frequency to cyclotron frequency. The results might be helpful to understanding the origin of electron kappa distributions observed in space plasmas.

  18. Measurements of Mexico City nanoparticle size distributions: Observations of new particle formation and growth

    E-Print Network [OSTI]

    Jimenez, Jose-Luis

    Measurements of Mexico City nanoparticle size distributions: Observations of new particle formation diameter range were performed in the Mexico City metropolitan area. These measurements were made during the period 10­20 April 2003 at a ground-based, mountain pass site in the southeast corner of the Mexico City

  19. A new method to derive star formation histories of galaxies from their star cluster distributions

    E-Print Network [OSTI]

    Thomas Maschberger; Pavel Kroupa

    2007-05-07T23:59:59.000Z

    Star formation happens in a clustered way which is why the star cluster population of a particular galaxy is closely related to the star formation history of this galaxy. From the probabilistic nature of a mass function follows that the mass of the most-massive cluster of a complete population, M_max, has a distribution with the total mass of the population as a parameter. The total mass of the population is connected to the star formation rate (SFR) by the length of a formation epoch. Since due to evolutionary effects only massive star clusters are observable up to high ages it is convenient to use this M_max(SFR) relation for the reconstruction of a star formation history. The age-distribution of the most-massive clusters can therefore be used to constrain the star formation history of a galaxy. The method, including an assessment of the inherent uncertainties, is introduced with this contribution, while following papers will apply this method to a number of galaxies.

  20. The Relationship Between Stellar Light Distributions of Galaxies and their Formation Histories

    E-Print Network [OSTI]

    Christopher J. Conselice

    2003-03-04T23:59:59.000Z

    A major problem in extragalactic astronomy is the inability to distinguish in a robust, physical, and model independent way how galaxy populations are related to each other and to their formation histories. A similar, but distinct, and also long standing question is whether the structural appearances of galaxies, as seen through their stellar light distributions, contain enough physical information to offer this classification. We argue through the use of 240 images of nearby galaxies that three model independent parameters measured on a single galaxy image reveal its major ongoing and past formation modes, and can be used as a robust classification system. These parameters quantitatively measure: the concentration (C), asymmetry (A) and clumpiness (S) of a galaxy's stellar light distribution. When combined into a three dimensional `CAS' volume all major classes of galaxies in various phases of evolution are cleanly distinguished. We argue that these three parameters correlate with important modes of galaxy evolution: star formation and major merging activity. This is argued through the strong correlation of Halpha equivalent width and broad band colors with the clumpiness parameter, the uniquely large asymmetries of 66 galaxies undergoing mergers, and the correlation of bulge to total light ratios, and stellar masses, with the concentration index. As an obvious goal is to use this system at high redshifts to trace evolution, we demonstrate that these parameters can be measured, within a reasonable and quantifiable uncertainty, with available data out to z ~ 3 using the Hubble Space Telescope GOODS ACS and Hubble Deep Field images.

  1. 1999 CBECS Detailed Tables

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of Fuels for Electric Utility Plants 1998 Tables

  2. Table 7

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:1 Table 7 Created on:

  3. General Tables

    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) Environmental AssessmentsGeoffrey Campbelllong version)ConfinementGeneral Tables The

  4. LONG GRBs ARE METALLICITY-BIASED TRACERS OF STAR FORMATION: EVIDENCE FROM HOST GALAXIES AND REDSHIFT DISTRIBUTION

    SciTech Connect (OSTI)

    Wang, F. Y.; Dai, Z. G., E-mail: fayinwang@nju.edu.cn, E-mail: dzg@nju.edu.cn [School of Astronomy and Space Science, Nanjing University, Nanjing 210093 (China)

    2014-07-01T23:59:59.000Z

    We investigate the mass distribution of long gamma-ray burst (GRB) host galaxies and the redshift distribution of long GRBs by considering that long GRBs occur in low-metallicity environments. We calculate the upper limit on the stellar mass of a galaxy which can produce long GRBs by utilizing the mass-metallicity (M-Z) relation of galaxies. After comparing with the observed GRB host galaxies masses, we find that the observed GRB host galaxy masses can fit the predicted masses well if GRBs occur in low-metallicity 12 + log (O/H){sub KK04} < 8.7. GRB host galaxies have low metallicity, low mass, and high star formation rate compared with galaxies of seventh data release of the Sloan Digital Sky Survey. We also study the cumulative redshift distribution of the latest Swift long GRBs by adding dark GRBs and 10 new GRBs redshifts from the TOUGH survey. The observed discrepancy between the GRB rate and the star formation history can be reconciled by considering that GRBs tend to occur in low-metallicity galaxies with 12 + log (O/H){sub KK04} < 8.7. We conclude that the metallicity cutoff that can produce long GRBs is about 12 + log (O/H){sub KK04} < 8.7 from the host mass distribution and redshift distribution.

  5. Distributed Formation Flight Control Using Constraint Forces and Prabhakar R. Pagilla

    E-Print Network [OSTI]

    Pagilla, Prabhakar R.

    conducted to verify the proposed approach. I. Introduction THE problem of autonomous formation flight] and fuel efficiency via induced drag reduction [2]. Formation flying can also be used for airborne refueling and quick deployment of troops and vehicles. Moreover, many aircraft involved in a mission can

  6. Crystal orientation effects on helium ion depth distributions and adatom formation processes in plasma-facing tungsten

    SciTech Connect (OSTI)

    Hammond, Karl D. [Department of Nuclear Engineering, University of Tennessee, Knoxville, Tennessee 37996–2300 (United States); Wirth, Brian D., E-mail: bdwirth@utk.edu [Department of Nuclear Engineering, University of Tennessee, Knoxville, Tennessee 37996–2300 (United States); P.O. Box 2008, MS-6003, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831–6003 (United States)

    2014-10-14T23:59:59.000Z

    We present atomistic simulations that show the effect of surface orientation on helium depth distributions and surface feature formation as a result of low-energy helium plasma exposure. We find a pronounced effect of surface orientation on the initial depth of implanted helium ions, as well as a difference in reflection and helium retention across different surface orientations. Our results indicate that single helium interstitials are sufficient to induce the formation of adatom/substitutional helium pairs under certain highly corrugated tungsten surfaces, such as (1 1 1)-orientations, leading to the formation of a relatively concentrated layer of immobile helium immediately below the surface. The energies involved for helium-induced adatom formation on (1 1 1) and (2 1 1) surfaces are exoergic for even a single adatom very close to the surface, while (0 0 1) and (0 1 1) surfaces require two or even three helium atoms in a cluster before a substitutional helium cluster and adatom will form with reasonable probability. This phenomenon results in much higher initial helium retention during helium plasma exposure to (1 1 1) and (2 1 1) tungsten surfaces than is observed for (0 0 1) or (0 1 1) surfaces and is much higher than can be attributed to differences in the initial depth distributions alone. The layer thus formed may serve as nucleation sites for further bubble formation and growth or as a source of material embrittlement or fatigue, which may have implications for the formation of tungsten “fuzz” in plasma-facing divertors for magnetic-confinement nuclear fusion reactors and/or the lifetime of such divertors.

  7. NIHAO project II: Halo shape, phase-space density and velocity distribution of dark matter in galaxy formation simulations

    E-Print Network [OSTI]

    Butsky, Iryna; Dutton, Aaron A; Wang, Liang; Stinson, Greg S; Penzo, Camilla; Kang, Xi; Keller, Ben W; Wadsley, James

    2015-01-01T23:59:59.000Z

    We show the effect of galaxy formation on the dark matter (DM) distribution across a wide range of halo masses. We focus on how baryon physics changes the dark matter halo shape, the so called "pseudo phase-space density distribution" and the velocity distribution within the virial radius, Rvir and in the solar neighborhood. This study is based on the NIHAO galaxy formation simulations, a large suite of cosmological zoom-in simulations. The galaxies reproduce key properties of observed galaxies, and hence offer unique insight into how baryons change the dark matter morphology and kinematics. When compared to dark matter only simulations, the NIHAO haloes have similar shapes at Rvir, but are substantially rounder inside ~0.1 Rvir. In DM-only simulations the inner halo has a minor-to-major axis ratio of c/a~0.5. In hydro simulations c/a increases with halo mass and integrated star formation efficiency, reaching ~0.8 at the Milky Way mass, reconciling a long-standing conflict between observations and DM only sim...

  8. Nonlinear Landau damping and formation of Bernstein-Greene-Kruskal structures for plasmas with q-nonextensive velocity distributions

    SciTech Connect (OSTI)

    Raghunathan, M. [Indian Institute of Science Education and Research (IISER), Pune 411021 (India); Ganesh, R. [Institute for Plasma Research, Gandhinagar 382428 (India)

    2013-03-15T23:59:59.000Z

    In the past, long-time evolution of an initial perturbation in collisionless Maxwellian plasma (q = 1) has been simulated numerically. The controversy over the nonlinear fate of such electrostatic perturbations was resolved by Manfredi [Phys. Rev. Lett. 79, 2815-2818 (1997)] using long-time simulations up to t=1600{omega}{sub p}{sup -1}. The oscillations were found to continue indefinitely leading to Bernstein-Greene-Kruskal (BGK)-like phase-space vortices (from here on referred as 'BGK structures'). Using a newly developed, high resolution 1D Vlasov-Poisson solver based on piecewise-parabolic method (PPM) advection scheme, we investigate the nonlinear Landau damping in 1D plasma described by toy q-distributions for long times, up to t=3000{omega}{sub p}{sup -1}. We show that BGK structures are found only for a certain range of q-values around q = 1. Beyond this window, for the generic parameters, no BGK structures were observed. We observe that for values of q<1 where velocity distributions have long tails, strong Landau damping inhibits the formation of BGK structures. On the other hand, for q>1 where distribution has a sharp fall in velocity, the formation of BGK structures is rendered difficult due to high wave number damping imposed by the steep velocity profile, which had not been previously reported. Wherever relevant, we compare our results with past work.

  9. MODELING THE GRB HOST GALAXY MASS DISTRIBUTION: ARE GRBs UNBIASED TRACERS OF STAR FORMATION?

    E-Print Network [OSTI]

    Kocevski, Daniel

    We model the mass distribution of long gamma-ray burst (GRB) host galaxies given recent results suggesting that GRBs occur in low-metallicity environments. By utilizing measurements of the redshift evolution of the ...

  10. Distributed Formation Control of Multiple Aircraft Using Constraint Yunfei Zou, Prabhakar R. Pagilla

    E-Print Network [OSTI]

    Pagilla, Prabhakar R.

    conducted to verify the proposed approach. I. INTRODUCTION The problem of autonomous formation flight geometries leads to many advantages and applications. For example, energy saving from vortex forces and fuel deployment of troops and vehicles. Moreover, many aircraft involved in a mission can be better managed

  11. Optimizing the distribution network of perishable products to Small Format Stores

    E-Print Network [OSTI]

    Khandekar, Sachin

    2012-01-01T23:59:59.000Z

    FoodCo is a leading foods company that has reputed brands and global operations with revenues in excess of USD 5Bn. Although FoodCo's sales to Small Format Stores (SFS) customers are a small part of the overall sales, it ...

  12. Aerosol formation from high-velocity uranium drops: Comparison of number and mass distributions. Final report

    SciTech Connect (OSTI)

    Rader, D.J.; Benson, D.A.

    1995-05-01T23:59:59.000Z

    This report presents the results of an experimental study of the aerosol produced by the combustion of high-velocity molten-uranium droplets produced by the simultaneous heating and electromagnetic launch of uranium wires. These tests are intended to simulate the reduction of high-velocity fragments into aerosol in high-explosive detonations or reactor accidents involving nuclear materials. As reported earlier, the resulting aerosol consists mainly of web-like chain agglomerates. A condensation nucleus counter was used to investigate the decay of the total particle concentration due to coagulation and losses. Number size distributions based on mobility equivalent diameter obtained soon after launch with a Differential Mobility Particle Sizer showed lognormal distributions with an initial count median diameter (CMD) of 0.3 {mu}m and a geometric standard deviation, {sigma}{sub g} of about 2; the CMD was found to increase and {sigma}{sub g} decrease with time due to coagulation. Mass size distributions based on aerodynamic diameter were obtained for the first time with a Microorifice Uniform Deposit Impactor, which showed lognormal distributions with mass median aerodynamic diameters of about 0.5 {mu}m and an aerodynamic geometric standard deviation of about 2. Approximate methods for converting between number and mass distributions and between mobility and aerodynamic equivalent diameters are presented.

  13. Self-enrichment of Galactic halo globular clusters: stimulated star formation and consequences for the halo metallicity distribution

    E-Print Network [OSTI]

    Genevieve Parmentier

    2004-03-10T23:59:59.000Z

    We explore the self-enrichment hypothesis for globular cluster formation with respect to the star formation aspect. Following this scenario, the massive stars of a first stellar generation chemically enrich the globular progenitor cloud up to Galactic halo metallicities and sweep it into an expanding spherical shell of gas. This paper investigates the ability of this swept proto-globular cloud to become gravitationally unstable and, therefore, to seed the formation of second generation stars which may later on form a globular cluster. We use a simple model based on a linear perturbation theory for transverse motions in a shell of gas to demonstrate that the pressures by which the progenitor clouds are bound and the supernova numbers required to achieve Galactic halo metallicities support the successful development of the shell transverse collapse. Interestingly, the two parameters controling the metallicity achieved through self-enrichment, namely the number of supernovae and the external pressure, also rule the surface density of the shell and thus its ability to undergo a transverse collapse. Such a supernova-induced origin for the globular cluster stars opens therefore the way to the understanding of the halo metallicity distributions. This model is also able to explain the lower limit of the halo globular cluster metallicity.

  14. Tabled Execution in Scheme

    SciTech Connect (OSTI)

    Willcock, J J; Lumsdaine, A; Quinlan, D J

    2008-08-19T23:59:59.000Z

    Tabled execution is a generalization of memorization developed by the logic programming community. It not only saves results from tabled predicates, but also stores the set of currently active calls to them; tabled execution can thus provide meaningful semantics for programs that seemingly contain infinite recursions with the same arguments. In logic programming, tabled execution is used for many purposes, both for improving the efficiency of programs, and making tasks simpler and more direct to express than with normal logic programs. However, tabled execution is only infrequently applied in mainstream functional languages such as Scheme. We demonstrate an elegant implementation of tabled execution in Scheme, using a mix of continuation-passing style and mutable data. We also show the use of tabled execution in Scheme for a problem in formal language and automata theory, demonstrating that tabled execution can be a valuable tool for Scheme users.

  15. Appendix B Tables

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

    B Right-of-Way Tower Configuration Tables and Figures Page B-1 Table B-1 West Alternative Tower Configurations Segment Segment Length (miles) Section (Tower to Tower) Additional...

  16. Nature or nurture? Clues from the distribution of specific star formation rates in SDSS galaxies

    E-Print Network [OSTI]

    Casado, Javier; Gavilán, Marta; Terlevich, Roberto; Terlevich, Elena; Hoyos, Carlos; Díaz, Ángeles I

    2015-01-01T23:59:59.000Z

    This work investigates the main mechanism(s) that regulate the specific star formation rate (SSFR) in nearby galaxies, cross-correlating two proxies of this quantity -- the equivalent width of the \\Ha\\ line and the $(u-r)$ colour -- with other physical properties (mass, metallicity, environment, morphology, and the presence of close companions) in a sample of $\\sim82500$ galaxies extracted from the Sloan Digital Sky Survey (SDSS). The existence of a relatively tight `ageing sequence' in the colour-equivalent width plane favours a scenario where the secular conversion of gas into stars (i.e. `nature') is the main physical driver of the instantaneous SSFR and the gradual transition from a `chemically primitive' (metal-poor and intensely star-forming) state to a `chemically evolved' (metal-rich and passively evolving) system. Nevertheless, environmental factors (i.e. `nurture') are also important. In the field, galaxies may be temporarily affected by discrete `quenching' and `rejuvenation' episodes, but such eve...

  17. Bubble formation and Kr distribution in Kr-irradiated UO2

    SciTech Connect (OSTI)

    L.F. He; B. Valderrama; A.-R. Hassan; J. Yu; M. Gupta; J. Pakarinen; H.B. Henderson; J. Gan; M.A. Kirk; A.T. Nelson; M.V. Manuel; A. El-Azab; T.R. Allen

    2015-01-01T23:59:59.000Z

    In situ and ex situ transmission electron microscopy observation of small Kr bubbles in both single-crystal and polycrystalline UO2 were conducted to understand the inert gas bubble behavior in oxide nuclear fuel. The bubble size and volume swelling are shown as a weak function of ion dose but strongly depend on the temperature. The Kr bubble formation at room temperature was observed for the first time. The depth profiles of implanted Kr determined by atom probe tomography are in good agreement with the calculated profiles by SRIM, but the measured concentration of Kr is about 1/3 of calculated one. This difference is mainly due to low solubility of Kr in UO2 matrix, which has been confirmed by both density-functional theory calculations and chemical equilibrium analysis.

  18. Structure formation: a spherical model for the evolution of the density distribution

    E-Print Network [OSTI]

    P. Valageas

    1998-07-02T23:59:59.000Z

    Within the framework of hierarchical clustering we show that a simple Press-Schechter-like approximation, based on spherical dynamics, provides a good estimate of the evolution of the density field in the quasi-linear regime up to $\\Sigma \\sim 1$. Moreover, it allows one to recover the exact series of the cumulants of the probability distribution of the density contrast in the limit $\\Sigma \\to 0$ which sheds some light on the rigorous result and on ``filtering''. We also obtain similar results for the divergence of the velocity field. Next, we extend this prescription to the highly non-linear regime, using a stable-clustering approximation. Then we recover a specific scaling of the counts-in-cells which is indeed seen in numerical simulations, over a well-defined range. To this order we also introduce an explicit treatment of the behaviour of underdensities, which takes care of the normalization and is linked to the low-density bubbles and the walls one can see in numerical simulations. We compare this to a 1-dimensional adhesion model, and we present the consequences of our prescription for the power-law tail and the cutoff of the density distribution.

  19. Paleotectonic controls on reservoir distribution in Phosphoria formation and related strata, Bighorn basin, Wyoming

    SciTech Connect (OSTI)

    Dean, J.S.; Inden, R.F.; Sturm, S.D.

    1986-08-01T23:59:59.000Z

    Porosity development and reservoir distribution in the Permian rocks of the Bighorn basin were strongly controlled by the first- and second-order paleotectonic elements active in the Wyoming shelf. First-order elements, including the Greybull arch, Bighorn high, and an extension of the Yellowstone high, defined the basin geometry and regional paleogeography, influenced the distribution of clastic vs. carbonate lithofacies, and controlled the areal extent and degree of porosity enhancing dolomitization. Second-order tectonic features, related to drape and/or movement along syndepositional basement fault systems, also influenced patterns of Permian sedimentation by providing localized sites of differential subsidence and subtle but persistent paleobathymetric relief. Among the most significant exploration targets in the basin are the trends of peritidal and restricted marine reservoirs in the Franson and Ervay Members. Porous dolomites in these facies developed within and adjacent to two separate shoaling trends. Contrary to popular belief, these trends do not represent true carbonate shorelines. Rather, they define a fairway of discontinuous island-peninsula complexes bounded on the west by more open-marine carbonates and on the east by a broad, restricted lagoon or salina filled with subaqueous evaporites and siliciclastics. The trends of the peritidal facies are centered over underlying tectonic elements. The relatively unexplored fairway in the Franson Member is centered over a northwest-trending extension of the Yellowstone high. Equivalent facies in the Ervay are offset to the east, paralleling the faulted western margin of the ancestral Bighorn high.

  20. Effects of thermal sulfate reduction on permeability distributions of the Norphlet Formation

    SciTech Connect (OSTI)

    Dunn, T.L.; Surdam, R.C. (Univ. of Wyoming, Laramie (United States))

    1991-03-01T23:59:59.000Z

    Framework grain coatings are common in the Norphlet. Clay coatings are present throughout the depth range (16,000 to 22,000 ft) over which significant variations of permeability occur. Pyrobitumen coatings occur within the deep, low-permeability interval (approximately 18,000-20,000 ft) and the deeper (greater than 20,000 ft), more permeable interval. Both types of coatings may be important in preserving porosity during portions of the burial history of the Norphlet sandstones; however, their occurrence does not correlate with observed variations in permeability. Diagenetic reactions associated with thermal sulfate reduction provide a mechanism for the dissolution of carbonate cements in deep zones characterized by enhanced permeabilities. Protons generated from dissociation of H{sub 2}S produced during sulfate reduction results in the dissolution of carbonate cements. To be effective, this process must remove cements that precipitated after grain coatings. Uncoated quartz grains produce quartz overgrowths. Vertical permeability distributions within the Norphlet suggest that early and intermediate diagenetic carbonate and sulfate cements, sourced from the intercalated, interdunal pond strata, were redistributed throughout the dune sands. Portions of carbonate cements were either dissolved or the extent of their precipitation was reduced as thermal decarboxylation was closely followed by the initiation of sulfate reduction. Hence, variations in Norphlet permeability distributions are in part the result of diagenetic reactions associated with thermal sulfate reduction and, therefore, can be predicted using kinetic modeling of sulfate reaction.

  1. Normal Distribution

    E-Print Network [OSTI]

    User

    NORMAL DlSTRlBUTION TABLE. Entries represent the area under the standardized normal distribution from -w to z, Pr(Z

  2. Distribution:

    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 CorpNew 1325.8. (8-89)p,Departtient,of-JAN26 19%

  3. Environmental Justice Tables

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

    ... H-1 Table H-1. Poverty Thresholds in 1999 by Size of Family and Number of Related Children Under 18 Years...

  4. Formation and distribution of neutral vanadium, niobium, and tantalum oxide clusters: Single photon ionization at 26.5 eV

    E-Print Network [OSTI]

    Rocca, Jorge J.

    Formation and distribution of neutral vanadium, niobium, and tantalum oxide clusters: Single photon 2006; accepted 7 September 2006; published online 25 October 2006 Neutral vanadium, niobium neutral clusters of vanadium, niobium, and tantalum oxides are of the general form MO2 0,1 M2O5 y. M2O5

  5. 2003 CBECS Detailed Tables: Summary

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

    c12-pdf c12.xls c12.html Electricity (Tables C13-C22) set10.pdf Table C13. Total Electricity Consumption and Expenditures c13.pdf c13.xls c13.html Table C14. Electricity...

  6. Experimental study of the distribution of alloying elements after the formation of epitaxial ferrite upon cooling in a low-carbon steel

    SciTech Connect (OSTI)

    Santofimia, M.J., E-mail: M.J.SantofimiaNavarro@tudelft.nl [Materials Innovation Institute (M2i), Mekelweg 2, 2628 CD Delft (Netherlands); Department of Materials Science and Engineering, Delft University of Technology, Mekelweg 2, 2628 CD Delft (Netherlands); Kwakernaak, C.; Sloof, W.G. [Department of Materials Science and Engineering, Delft University of Technology, Mekelweg 2, 2628 CD Delft (Netherlands); Zhao, L. [Materials Innovation Institute (M2i), Mekelweg 2, 2628 CD Delft (Netherlands); Department of Materials Science and Engineering, Delft University of Technology, Mekelweg 2, 2628 CD Delft (Netherlands); Sietsma, J. [Department of Materials Science and Engineering, Delft University of Technology, Mekelweg 2, 2628 CD Delft (Netherlands)

    2010-10-15T23:59:59.000Z

    The distributions of carbon and substitutional elements in a low-carbon steel during the formation of epitaxial ferrite on cooling after intercritical annealing have been studied by electron probe microanalysis (EPMA). The analysis has shown that the formation of epitaxial ferrite takes place with a partial redistribution of alloying elements between the epitaxial ferrite and the austenite. This redistribution of alloying elements causes compositional gradients in the epitaxial ferrite that lead to a different etching behaviour with respect to the intercritical ferrite. Contrary to Thermo-Calc predictions, a distinct partitioning behaviour of silicon has been observed.

  7. Triggered or Self-Regulated Star Formation within Intermediate Redshift Luminous Infrared Galaxies (I). Morphologies and Spatially Resolved Spectral Energy Distributions

    E-Print Network [OSTI]

    J. Melbourne; M. Ammons; S. A. Wright; A. Metevier; E. Steinbring; C. Max; D. C. Koo; J. E. Larkin; M. Barczys

    2008-01-07T23:59:59.000Z

    We imaged a set of 15 intermediate redshift (z~0.8) luminous infrared galaxies (LIRGs) with the Keck Laser Guide Star (LGS) AO facility. These galaxies were selected from the GOODS-S field, allowing us to combine the high spatial resolution HST optical (B, V, i, and z-bands) images with our near-infrared (K'-band) images to study the LIRG morphologies and spatially resolved spectral energy distributions (SEDs). Two thirds of the LIRGs are disk galaxies, with only one third showing some evidence for interactions, minor, or major mergers. In contrast with local LIRG disks (which are primarily barred systems), only 10% of the LIRG disks in our sample contain a prominent bar. While the optical bands tend to show significant point-like substructure, indicating distributed star formation, the AO K-band images tend to be smooth. The SEDs of the LIRGs are consistent with distributed dusty star formation, as exhibited by optical to IR colors redder than allowed by old stellar populations alone. This effect is most pronounced in the galaxy cores, possibly indicating central star formation. We also observed a set of 11 intermediate redshift comparison galaxies, selected to be non-ellipticals with apparent K-band magnitudes comparable to the LIRGs. The "normal" (non-LIRG) systems tended to have lower optical luminosity, lower stellar mass, and more irregular morphology than the LIRGs. Half of the "normal" galaxies have SEDs consistent with intermediate aged stellar populations and minimal dust. The other half show evidence for some dusty star formation, usually concentrated in their cores. Our work suggests that the LIRG disk galaxies are similar to large disk systems today, undergoing self regulated star formation, only at 10 - 20 times higher rates. (Abridged)

  8. Sequence stratigraphy of the upper San Andres and Grayburg formations, Waddell Field, Crane County, Texas: implications for hydrocarbon reservoir distribution

    E-Print Network [OSTI]

    Pinsonnault, Scott Michael

    1996-01-01T23:59:59.000Z

    The upper San Andres and Grayburg formations (Guadalupian) were deposited on carbonate platforms around the Permian Basin region and are extensive hydrocarbon reservoirs in the region. The Waddell Field (East Waddell Ranch) on the eastern margin...

  9. 2015 DOE SSL R&D Workshop LED Topic Table Questions to Consider

    Broader source: Energy.gov [DOE]

    This document was distributed during the LED Topic Table portion of the DOE SSL R&D Workshop and aimed to prompt discussion on the following topics:

  10. Table of Contents

    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,ZaleskiThis Decision considersTable 1: Points of Entry/Exit andTable

  11. Table_of_Contents

    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,ZaleskiThis Decision considersTable 1: Points of Entry/ExitTable of

  12. Methane hydrate distribution from prolonged and repeated formation in natural and compacted sand samples: X-ray CT observations

    SciTech Connect (OSTI)

    Rees, E.V.L.; Kneafsey, T.J.; Seol, Y.

    2010-07-01T23:59:59.000Z

    To study physical properties of methane gas hydrate-bearing sediments, it is necessary to synthesize laboratory samples due to the limited availability of cores from natural deposits. X-ray computed tomography (CT) and other observations have shown gas hydrate to occur in a number of morphologies over a variety of sediment types. To aid in understanding formation and growth patterns of hydrate in sediments, methane hydrate was repeatedly formed in laboratory-packed sand samples and in a natural sediment core from the Mount Elbert Stratigraphic Test Well. CT scanning was performed during hydrate formation and decomposition steps, and periodically while the hydrate samples remained under stable conditions for up to 60 days. The investigation revealed the impact of water saturation on location and morphology of hydrate in both laboratory and natural sediments during repeated hydrate formations. Significant redistribution of hydrate and water in the samples was observed over both the short and long term.

  13. TABLE OF CONTENTS PARAGRAPH

    E-Print Network [OSTI]

    unknown authors

    1999-01-01T23:59:59.000Z

    AREA EDCN DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. This document has been reproduced directly from the best available copy.

  14. Cost Recovery Charge (CRC) Calculation Tables

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

    Cost Recovery Charge (CRC) Calculation Table Updated: March 20, 2015 FY 2016 February 2015 CRC Calculation Table (pdf) Final FY 2015 CRC Letter & Table (pdf) Note: The Cost...

  15. Strontium distribution and origins in a natural clayey formation (Callovian-Oxfordian, Paris Basin, France): a new sequential extraction procedure

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , France): a new sequential extraction procedure C. Lerouge a, *, E.C. Gaucher a , C. Tournassat a , P in a natural clayey formation (Callovian-Oxfordian, Paris Basin, France): a new sequential extraction procedure on clay minerals and carried by carbonates, detrital minerals and accessory celestite. In order

  16. Advanced Vehicle Technologies Awards Table

    Broader source: Energy.gov [DOE]

    The table contains a listing of the applicants, their locations, the amounts of the awards, and description of each project.

  17. Mentoring Guide TABLE OF CONTENTS

    E-Print Network [OSTI]

    Dasgupta, Dipankar

    Mentoring Guide 1 #12;TABLE OF CONTENTS Introduction...........................................................................................................3 CCFA Mentoring Guide.........................................................................................3 Why Do I Need A Mentor

  18. Integral CFLs performance in table lamps

    SciTech Connect (OSTI)

    Page, E.; Driscoll, D.; Siminovitch, M.

    1997-03-01T23:59:59.000Z

    This paper focuses on performance variations associated with lamp geometry and distribution in portable table luminaires. If correctly retrofit with compact fluorescent lamps (CFLs), these high use fixtures produce significant energy savings, but if misused, these products could instead generate consumer dissatisfaction with CFLs. It is the authors assertion that the lumen distribution of the light source within the luminaires plays a critical role in total light output, fixture efficiency and efficacy, and, perhaps most importantly, perceived brightness. The authors studied nearly 30 different integral (screw-based) CFLs available on the market today in search of a lamp, or group of lamps, which work best in portable table luminaires. The findings conclusively indicate that horizontally oriented CFLs outperform all other types of CFLs in nearly every aspect.

  19. THERMODYNAMIC TABLES FOR NUCLEAR WASTE ISOLATION, V.1: AQUEOUSSOLUTIONS DATABASE

    SciTech Connect (OSTI)

    Phillips, S.L.; Hale, F.V.; Silvester, L.F.

    1988-05-01T23:59:59.000Z

    Tables of consistent thermodynamic property values for nuclear waste isolation are given. The tables include critically assessed values for Gibbs energy of formation. enthalpy of formation, entropy and heat capacity for minerals; solids; aqueous ions; ion pairs and complex ions of selected actinide and fission decay products at 25{sup o}C and zero ionic strength. These intrinsic data are used to calculate equilibrium constants and standard potentials which are compared with typical experimental measurements and other work. Recommendations for additional research are given.

  20. New probability table treatment in MCNP for unresolved resonances

    SciTech Connect (OSTI)

    Carter, L.L. [Carter M.C. Analysis, Richland, WA (United States); Little, R.C.; Hendricks, J.S.; MacFarlane, R.E. [Los Alamos National Lab., NM (United States)

    1998-04-01T23:59:59.000Z

    An upgrade for MCNP has been implemented to sample the neutron cross sections in the unresolved resonance range using probability tables. These probability tables are generated with the cross section processor code NJOY, by using the evaluated statistical information about the resonances to calculate cumulative probability distribution functions for the microscopic total cross section. The elastic, fission, and radiative capture cross sections are also tabulated as the average values of each of these partials conditional upon the value of the total. This paper summarizes how the probability tables are utilized in this MCNP upgrade and compares this treatment with the approximate smooth treatment for some example problems.

  1. FY 2008 Laboratory Table

    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 Strategic Plan| Department of.pdf6-OPAMDepartment ofAppropriationBudgetLaboratory Table

  2. FY 2009 State Table

    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 Strategic Plan| Department of.pdf6-OPAMDepartment6 FY 2007 FY 2008State Tables

  3. FY 2009 Statistical Table

    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 Strategic Plan| Department of.pdf6-OPAMDepartment6 FY 2007 FY 2008State TablesStatistical

  4. Microsoft Word - table_08

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14 Jan-15LiquidBG 0 20 40 60 807 Created on:3 Table

  5. A=19 Tables

    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) -Less2012KE01)93TI07) (Not observed)95TI07)95TI07)72AJ02) (SeeTables

  6. TABLE OF CONTENTS

    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 Our InstagramStructureProposed Action(InsertAbout theSystems3, Revision 0 i TABLE OF

  7. TABLE OF CONTENTS

    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 Our InstagramStructureProposed Action(InsertAbout theSystems3, Revision 0 i TABLE

  8. TABLE OF CONTENTS

    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 Our InstagramStructureProposed Action(InsertAbout theSystems3, Revision 0 i TABLE5,

  9. 1992 CBECS Detailed Tables

    Gasoline and Diesel Fuel Update (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 40 Building Floorspace (Square Feet) 1,001 to7. Electricity4.Rocky6 AprilTables

  10. 8He General Tables

    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) -Less isNFebruaryOctober 2, AlgeriaQ1 Q2 Q3 U . SHe General Tables

  11. 9Be General Tables

    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) -Less isNFebruaryOctober 2, AlgeriaQ1 Q2 Q3 U . SHeBBe General Table

  12. Table of Contents

    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 SolStrengthening a solidSynthesis of 2D Alloys &8-5070P3. U.S.7. U.S.8.5TABLE

  13. Table of Contents

    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 SolStrengthening a solidSynthesis of 2D Alloys &8-5070P3. U.S.7. U.S.8.5TABLE2

  14. Effect of re-melting on particle distribution and interface formation in SiC reinforced 2124Al matrix composite

    SciTech Connect (OSTI)

    Mandal, Durbadal, E-mail: durbadal73@yahoo.co.in [MEF Division, CSIR-National Metallurgical Laboratory, Jamshedpur 831007 (India); Viswanathan, Srinath [Dept of Metallurgical and Materials Engineering, University of Alabama, Tuscaloosa, AL (United States)

    2013-12-15T23:59:59.000Z

    The interface between metal matrix and ceramic reinforcement particles plays an important role in improving properties of the metal matrix composites. Hence, it is important to find out the interface structure of composite after re-melting. In the present investigation, the 2124Al matrix with 10 wt.% SiC particle reinforced composite was re-melted at 800 °C and 900 °C for 10 min followed by pouring into a permanent mould. The microstructures reveal that the SiC particles are distributed throughout the Al-matrix. The volume fraction of SiC particles varies from top to bottom of the composite plate and the difference increases with the decrease of re-melting temperature. The interfacial structure of re-melted 2124Al–10 wt.%SiC composite was investigated using scanning electron microscopy, an electron probe micro-analyzer, a scanning transmission electron detector fitted with scanning electron microscopy and an X-ray energy dispersive spectrometer. It is found that a thick layer of reaction product is formed at the interface of composite after re-melting. The experimental results show that the reaction products at the interface are associated with high concentration of Cu, Mg, Si and C. At re-melting temperature, liquid Al reacts with SiC to form Al{sub 4}C{sub 3} and Al–Si eutectic phase or elemental Si at the interface. High concentration of Si at the interface indicates that SiC is dissociated during re-melting. The X-ray energy dispersive spectrometer analyses confirm that Mg- and Cu-enrich phases are formed at the interface region. The Mg is segregated at the interface region and formed MgAl{sub 2}O{sub 4} in the presence of oxygen. The several elements identified at the interface region indicate that different types of interfaces are formed in between Al matrix and SiC particles. The Al–Si eutectic phase is formed around SiC particles during re-melting which restricts the SiC dissolution. - Highlights: • Re-melted composite shows homogeneous particle distribution • Thick reaction products are observed at the interface • Carbide is identified at interface due to SiC dissolution at high temperature • Reaction products are also Si enrich phase • Mg and Cu segregated and formed MgAl{sub 2}O{sub 4}, CuMgAl{sub 2} phase at grain boundary.

  15. The earliest phases of star formation observed with Herschel (EPoS): The dust temperature and density distributions of B68

    E-Print Network [OSTI]

    Nielbock, M; Steinacker, J; Stutz, A M; Balog, Z; Beuther, H; Bouwman, J; Henning, Th; Hily-Blant, P; Kainulainen, J; Krause, O; Linz, H; Lippok, N; Ragan, S; Risacher, C; Schmiedeke, A

    2012-01-01T23:59:59.000Z

    (Abriged) In the framework of the Herschel GTKP "The earliest phases of star formation", we have imaged B68 between 100 and 500 um. Ancillary (sub)mm data, spectral line maps of the 12/13CO(2-1) transitions as well as a NIR extinction map were added to the analysis. We employed a ray-tracing algorithm to derive the 2D mid-plane dust temperature and volume density distribution without suffering from LoS averaging effects of simple SED fitting procedures. Additional 3D radiative transfer calculations were employed to investigate the connection between the external irradiation and the peculiar crescent shaped morphology found in the FIR maps. For the first time, we spatially resolve the dust temperature and density distribution of B68. We find T_dust dropping from 16.7 K at the edge to 8.2 K in the centre, which is about 4 K lower than the result of the simple SED fitting approach. N_H peaks at 4.3x10^22 cm^-2 and n_H at 3.4x10^5 cm^-3 in the centre. B68 has a mass of 3.1 M_sun of material with A_K > 0.2 mag for...

  16. Preliminary investigation of the role that DMS (dimethyl sulfide) and cloud cycles play in the formation of the aerosol size distribution. Interim report

    SciTech Connect (OSTI)

    Hoppel, W.A.; Fitzgerald, J.W.; Frick, G.M.; Larson, R.E.; Wattle, B.J.

    1987-07-29T23:59:59.000Z

    A series of experiments designed to study the production of new particulate matter by photolysis of dimethyl sulfide (DMS) and the effect that nonprecipitating clouds have on the aerosol size distributions were carried out in Calspan Corporation's 600 cum environmental chamber during January and February 1986. The results show that DMS, the most-abundant natural source of sulfur, is photooxidized to some product of low volatility that can form new particles by homogeneous nucleation or condense on existing aerosols causing them to grow. To explain these observations, a theoretical study of the nucleation properties of methane sulfonic acid (MSA) was undertaken. The nucleation thresholds, calculated using thermodynamic data for MSA, show that at 70% RH, and MSA concentration of only 0.006 ppb will result in a supersaturated environment in which MSA will condense on preexisting particles larger than 0.02-micron radius. If the MSA concentrations increase to 30 ppb, then spontaneous formation of MSA solution droplets occurs by homogeneous binary nucleation. Simulations of the evolution of the size distribution observed for the DMS irradiation experiments with a dynamic aerosol model that includes the effects of coagulation, growth by condensation, and deposition to the walls of the chamber, yield results that are in excellent agreement with the observed evolution.

  17. FNANO12 Table of Contents Table of Contents

    E-Print Network [OSTI]

    Reif, John H.

    Bardram Software tools for automated design of dynamic nucleic acid systems Table of Contents In Silico Design, In Vitro Characterization and Ex-Vivo Studies of Functional RNA-based Nanoparticles

  18. FY 2015 Summary Control Table by Appropriation

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

    Summary Control Table by Appropriation (dollars in thousands - OMB Scoring) Summary Control Table by Appropriation Page 1 FY 2015 Congressional Request FY 2013 FY 2014 FY 2014 FY...

  19. Automation of BESSY scanning tables

    E-Print Network [OSTI]

    Hanton, J

    1981-01-01T23:59:59.000Z

    A microprocessor M6800 is used for the automation of scanning and premeasuring BESSY tables. The tasks achieved by the microprocessor are: control of spooling of the four asynchronous film winding devices and switching on and off the 4 projection lamps; preprocessing of the data coming from a bipolar coordinates measuring device; bidirectional interchange of information between the operator, the BESSY table and the DEC PDP 11/34 mini computer controlling the scanning operations; control of the magnification on the table by swapping the projection lenses of appropriate focal lengths and the associated light boxes (under development). In connection with the last of these, study is being made for the use of BESSY tables for accurate measurements (+/- 5 microns), by encoding the displacements of the projection lenses. (0 refs).

  20. TABLE OF CONTENTS ABSTRACT . . .. . . .. . . . . . . . . . . . . . . . . . . . . . v

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    ............................................... 12 Water-Source Heat Pump Performance ............................ 18 Air-Source Heat Pump QUARTZ CONTENT OF SEDIMENTARY ROCK LAYERS ........ 17 TABLE 10. PROPERTIES OF SEDIMENTARY ROCK LAYERS OF PERFORMANCE OF WATER-SOURCE HEAT PUMP .............................. ................. 23 FIGURE 2. NODAL

  1. Technical Letter Report Development of Flaw Size Distribution Tables Including Effects of Flaw Depth Sizing Errors for Draft 10CFR 50.61a (Alternate PTS Rule) JCN-N6398, Task 4

    SciTech Connect (OSTI)

    Simonen, Fredric A.; Gosselin, Stephen R.; Doctor, Steven R.

    2013-04-22T23:59:59.000Z

    This document describes a new method to determine whether the flaws in a particular reactor pressure vessel are consistent with the assumptions regarding the number and sizes of flaws used in the analyses that formed the technical justification basis for the new voluntary alternative Pressurized Thermal Shock (PTS) rule (Draft 10 CFR 50.61a). The new methodology addresses concerns regarding prior methodology because ASME Code Section XI examinations do not detect all fabrication flaws, they have higher detection performance for some flaw types, and there are flaw sizing errors always present (e.g., significant oversizing of small flaws and systematic under sizing of larger flaws). The new methodology allows direct comparison of ASME Code Section XI examination results with values in the PTS draft rule Tables 2 and 3 in order to determine if the number and sizes of flaws detected by an ASME Code Section XI examination are consistent with those assumed in the probabilistic fracture mechanics calculations performed in support of the development of 10 CFR 50.61a.

  2. Modeling of Customer Adoption of Distributed Energy Resources

    E-Print Network [OSTI]

    Modeling of Customer Adoption of Distributed Energy Resources CALIFORNIA ENERGY COMMISSION Reliability Technology Solutions Modeling of Customer Adoption of Distributed Energy Resources Prepared the consequences. #12;#12;Modeling of Customer Adoption of Distributed Energy Resources iii Table of Contents

  3. Table of Contents INTRODUCTION 2

    E-Print Network [OSTI]

    O'Mahony, Donal E.

    #12;1 Table of Contents INTRODUCTION 2 SECTION ONE: PRINCIPLES OF GOOD PRACTICE 4 SECTION TWO, it offers a practical guide to staff and volunteers who work with children by outlining a number of fundamental principles of good practice, highlighting the key elements of each one and discussing the issues

  4. EIA - Annual Energy Outlook (AEO) 2013 Data Tables

    Gasoline and Diesel Fuel Update (EIA)

    Floorspace, and Equipment Efficiency XLS Table 24. Industrial Sector Macroeconomic Indicators XLS Table 25. Refining Industry Energy Consumption XLS Table 26. Food Industry...

  5. SOFA 2 Documentation Table of contents

    E-Print Network [OSTI]

    SOFA 2 Documentation Table of contents 1 Overview...................................................................................................................... 2 2 Documentation............................................................................................................. 2 3 Other documentation and howtos

  6. The Interactive Dining Table Florian Echtler

    E-Print Network [OSTI]

    Deussen, Oliver

    into the table lamp for sensing interaction and a small LED-based projector mounted on the ceiling for displaying

  7. Chemistry Department Assessment Table of Contents

    E-Print Network [OSTI]

    Bogaerts, Steven

    0 Chemistry Department Assessment May, 2006 Table of Contents Page Executive Summary 1 Prelude 1 Mission Statement and Learning Goals 1 Facilities 2 Staffing 3 Students: Chemistry Majors and Student Taking Service Courses Table: 1997-2005 graduates profile Table: GRE Score for Chemistry Majors, 1993

  8. Actes JFPC 2012 Optimisation energetique de tables horaires de

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Actes JFPC 2012 Optimisation ´energ´etique de tables horaires de m´etros: une approche hybride´en´etique-lin´eaire a ´et´e impl´e- ment´e pour r´esoudre ce probl`eme et calculer la fonction de distribution d genetic/linear algorithm has been imple- mented to tackle this problem and compute the distri- bution

  9. Table 1. 2013 Summary Statistics

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly Annual Download Series History Download Series History Definitions, SourcesType"A50. Table

  10. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May 7,Operations from

  11. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May 7,Operations

  12. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May 7,Operations8

  13. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May 7,Operations838

  14. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May 7,Operations8385

  15. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May

  16. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May6 from (1991AJ01):

  17. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May6 from

  18. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May6 from7AJ02):

  19. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May6

  20. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May60AJ01): Some

  1. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May60AJ01):

  2. Table

    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 Our InstagramStructureProposedPAGE Creating a Geologic5/15/2013May60AJ01):3TI07):

  3. Table

    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 Our InstagramStructureProposedPAGE Creating a

  4. Table

    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 Our InstagramStructureProposedPAGE Creating a5TI07): Electromagnetic transitions in

  5. Table

    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 Our InstagramStructureProposedPAGE Creating a5TI07): Electromagnetic transitions

  6. Table

    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 Our InstagramStructureProposedPAGE Creating a5TI07): Electromagnetic

  7. Proceedings Engineering Distributed Objects

    E-Print Network [OSTI]

    Emmerich, Wolfgang

    -18, 1999 Edited by Wolfgang Emmerich Volker Gruhn #12;#12;Table of Contents Introduction Wolfgang Emmerich;#12;Engineering Distributed Objects (EDO 99) Introduction Wolfgang Emmerich Dept. of Computer Science University College London London WC1E 6BT United Kingdom w.emmerich@cs.ucl.ac.uk Volker Gruhn Informatik 10 Universit

  8. Formation depths of Fraunhofer lines

    E-Print Network [OSTI]

    Gurtovenko, E A

    2015-01-01T23:59:59.000Z

    We have summed up our investigations performed in 1970--1993. The main task of this paper is clearly to show processes of formation of spectral lines as well as their distinction by validity and by location. For 503 photospheric lines of various chemical elements in the wavelength range 300--1000 nm we list in Table the average formation depths of the line depression and the line emission for the line centre and on the half-width of the line, the average formation depths of the continuum emission as well as the effective widths of the layer of the line depression formation. Dependence of average depths of line depression formation on excitation potential, equivalent widths, and central line depth are demonstrated by iron lines.

  9. CBECS Buildings Characteristics --Revised Tables

    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 CommercialDecade Year-0Proved ReservesBuildings Use Tables (24

  10. CBECS Buildings Characteristics --Revised Tables

    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 CommercialDecade Year-0Proved ReservesBuildings Use Tables

  11. 2003 CBECS Detailed Tables: Summary

    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 E2003 Detailed Tables 2003

  12. Table 1. 2013 Summary statistics

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConference |6:Welcome to the3421,097

  13. Table 1. 2013 Summary statistics

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConference |6:Welcome to

  14. ARM - Instrument - s-table

    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 1,006Datastreamstwrcam40mgovInstrumentsmwr3c DocumentationgovInstrumentsrain DocumentationgovInstrumentss-table

  15. Microsoft Word - table_13.doc

    Gasoline and Diesel Fuel Update (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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28 Third23 Table

  16. Microsoft Word - table_14.doc

    Gasoline and Diesel Fuel Update (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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28 Third23 Table4

  17. Microsoft Word - table_15.doc

    Gasoline and Diesel Fuel Update (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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28 Third23 Table40

  18. Microsoft Word - table_18.doc

    Gasoline and Diesel Fuel Update (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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28 Third235 Table

  19. Microsoft Word - table_19.doc

    Gasoline and Diesel Fuel Update (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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28 Third235 Table7

  20. Microsoft Word - table_21.doc

    Gasoline and Diesel Fuel Update (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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of Fossil Energy, U.S. Department of28 Third2359 Table

  1. Environmental Regulatory Update Table, August 1991

    SciTech Connect (OSTI)

    Houlberg, L.M., Hawkins, G.T.; Salk, M.S.

    1991-09-01T23:59:59.000Z

    This Environmental Regulatory Update Table (August 1991) provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  2. Environmental Regulatory Update Table, September 1991

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-10-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  3. Environmental regulatory update table, March 1989

    SciTech Connect (OSTI)

    Houlberg, L.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1989-04-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  4. Environmental regulatory update table, July 1991

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-08-01T23:59:59.000Z

    This Environmental Regulatory Update Table (July 1991) provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  5. Environmental Regulatory Update Table, December 1989

    SciTech Connect (OSTI)

    Houlbert, L.M.; Langston, M.E. (Tennessee Univ., Knoxville, TN (USA)); Nikbakht, A.; Salk, M.S. (Oak Ridge National Lab., TN (USA))

    1990-01-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  6. Environmental Regulatory Update Table, April 1989

    SciTech Connect (OSTI)

    Houlberg, L.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1989-05-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  7. TABLE20.CHP:Corel VENTURA

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

    due to independent rounding. Sources: Energy Information Administration (EIA) Form EIA-814, "Monthly Imports Report." 266 Table 20. Imports of Crude Oil and Petroleum...

  8. TABLE27.CHP:Corel VENTURA

    Gasoline and Diesel Fuel Update (EIA)

    due to independent rounding. Sources: Energy Information Administration (EIA) Form EIA-810, "Monthly Refinery Report" and the U.S. Bureau of the Census. 410 Table 27....

  9. TABLE53.CHP:Corel VENTURA

    Gasoline and Diesel Fuel Update (EIA)

    Table 53. Movements of Crude Oil and Petroleum Products by Pipeline, Tanker, and Barge Between July 2004 Crude Oil ... 0 383 0...

  10. Peer Mentor Handbook Table of Contents

    E-Print Network [OSTI]

    Lin, Zhiqun

    Peer Mentor Handbook #12;Table of Contents Learning Communities Characteristics ..............................................................................................4 Skills for Effective Mentors ...............................................................................................................7 Ethical Considerations for the Peer Mentor

  11. TABLE54.CHP:Corel VENTURA

    Gasoline and Diesel Fuel Update (EIA)

    Administration (EIA) Forms EIA-812, "Monthly Product Pipeline Report," and EIA-813, Monthly Crude Oil Report." Table 54. Movements of Crude Oil and Petroleum Products by Pipeline...

  12. TABLE11.CHP:Corel VENTURA

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

    (Thousand Barrels) Table 11. PAD District II-Year-to-Date Supply, Disposition, and Ending Stocks of Crude Oil and Petroleum January-July 2004 Products, Crude Oil...

  13. TABLE15.CHP:Corel VENTURA

    Gasoline and Diesel Fuel Update (EIA)

    Table 15. PAD District III-Year-to-Date Supply, Disposition, and Ending Stocks of Crude Oil and Petroleum (Thousand Barrels) January-July 2004 Products, Crude Oil...

  14. TABLE19.CHP:Corel VENTURA

    Gasoline and Diesel Fuel Update (EIA)

    Table 19. PAD District IV-Year-to-Date Supply, Disposition, and Ending Stocks of Crude Oil and Petroleum (Thousand Barrels) January-July 2004 Products, Crude Oil...

  15. TABLE OF CONTENTS NIST Map ...................................................................................................................................................3

    E-Print Network [OSTI]

    TABLE OF CONTENTS NIST Map the Power Grid PML TIME SPEAKER UNIVERSITY TITLE LAB 3:00P Brian Weinstein American University Temperature

  16. SECTION 10 Table of Contents 10 Coeur d' Alene Subbasin Management Plan ...............................................2

    E-Print Network [OSTI]

    and formation of the Subbasin Work Teams and the process used to develop and adopt the management plan can10-1 SECTION 10 ­ Table of Contents 10 Coeur d' Alene Subbasin Management Plan....................................................................................................................35 #12;10-2 10 Coeur d' Alene Subbasin Management Plan The Coeur d' Alene Subbasin Management Plan

  17. SECTION 50 Table of Contents 50 Lake Rufus Woods Management Plan .........................................................2

    E-Print Network [OSTI]

    and formation of the Subbasin Work Teams and the process used to develop and adopt the management plan can50-1 SECTION 50 ­ Table of Contents 50 Lake Rufus Woods Management Plan .........................................................................28 #12;50-2 50 Lake Rufus Woods Management Plan The Lake Rufus Woods Subbasin Management Plan

  18. SECTION 34 Table of Contents 34 Upper Columbia Management Plan..............................................................2

    E-Print Network [OSTI]

    and formation of the Subbasin Work Teams and the process used to develop and adopt the management plan can34-1 SECTION 34 ­ Table of Contents 34 Upper Columbia Management Plan .........................................................................25 #12;34-2 34 Upper Columbia Management Plan The Upper Columbia Subbasin Management Plan

  19. PROPERTY TABLES AND CHARTS (SI UNITS) Table A1 Molar mass, gas constant, and

    E-Print Network [OSTI]

    Kostic, Milivoje M.

    Table A­20 Ideal-gas properties of carbon dioxide, CO2 Table A­21 Ideal-gas properties of carbon.1355 n-Butane C4H10 58.124 0.1430 425.2 3.80 0.2547 Carbon dioxide CO2 44.01 0.1889 304.2 7.39 0Appendix 1 PROPERTY TABLES AND CHARTS (SI UNITS) Table A­1 Molar mass, gas constant, and critical

  20. VARIABILITY SURVEY IN THE CoRoT SRa01 FIELD: IMPLICATIONS OF ECLIPSING BINARY DISTRIBUTION ON CLUSTER FORMATION IN NGC 2264

    SciTech Connect (OSTI)

    Klagyivik, P. [Konkoly Observatory, Research Centre for Astronomy and Earth Sciences, Hungarian Academy of Sciences, H-1121 Budapest XII, Konkoly Thege ut 15-17. (Hungary); Csizmadia, Sz.; Pasternacki, T.; Fruth, T.; Erikson, A.; Cabrera, J.; Eigmueller, P.; Kirste, S.; Rauer, H.; Titz-Weider, R. [Institut fuer Planetenforschung, Deutsches Zentrum fuer Luft- und Raumfahrt, Rutherfordstrasse 2, D-12489 Berlin (Germany); Chini, R.; Lemke, R. [Astronomisches Institut, Ruhr-Universitaet Bochum, D-44780 Bochum (Germany); Kabath, P. [European Southern Observatory, Alonso de Cordova 3107, Vitacura, Casilla 19001, Santiago (Chile); Murphy, M. [Depto. Fisica, Universidad Catolica del Norte, PO 1280, Antofagasta (Chile)

    2013-08-10T23:59:59.000Z

    Time-series photometry of the CoRoT field SRa01 was carried out with the Berlin Exoplanet Search Telescope II in 2008/2009. A total of 1161 variable stars were detected, of which 241 were previously known and 920 are newly found. Several new, variable young stellar objects have been discovered. The study of the spatial distribution of eclipsing binaries revealed the higher relative frequency of Algols toward the center of the young open cluster NGC 2264. In general Algol frequency obeys an isotropic distribution of their angular momentum vectors, except inside the cluster, where a specific orientation of the inclinations is the case. We suggest that we see the orbital plane of the binaries almost edge-on.

  1. Supplemental Tables to the Annual Energy Outlook

    Reports and Publications (EIA)

    2014-01-01T23:59:59.000Z

    The Annual Energy Outlook (AEO) Supplemental tables were generated for the reference case of the AEO using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets. Most of the tables were not published in the AEO, but contain regional and other more detailed projections underlying the AEO projections.

  2. Nuclear Decay Data in the MIRD (Medical Internal Radiation Dose) Format

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

    MIRD is a database of evaluated nuclear decay data for over 2,100 radioactive nuclei. Data are extracted from ENSDF, processed by the program RadList, and used for medical internal radiation dose calculations. When using the MIRD interface, tables of nuclear and atomic radiations from nuclear decay and decay scheme drawings will be produced in the MIRD format from the Evaluated Nuclear Structure Data File (ENSDF) for the specified nuclide. Output may be either HTML-formatted tables and JPEG drawings, PostScript tables and drawings, or PDF tables and drawings.

  3. TABLE OF CONTENTS I. INTRODUCTION

    E-Print Network [OSTI]

    -Fluid Sampling with the WSTP 1. General tool design and preparation 2. Tool deployment C. Borehole Fluid Sampling. APC Temperature Tool 1. APC tool design and components 2. APC tool preparation and deployment 3. Data-string packer with logging 5. TAM straddle-packer design C. Formation Testing Using the Straddle Packer 1

  4. Petroleum Products Table 31. Motor Gasoline Prices by Grade...

    Gasoline and Diesel Fuel Update (EIA)

    table. 56 Energy Information AdministrationPetroleum Marketing Annual 2000 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  5. Petroleum Products Table 31. Motor Gasoline Prices by Grade...

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

    table. 56 Energy Information Administration Petroleum Marketing Annual 1995 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  6. FY 2015 Summary Control Table by Organization

    Energy Savers [EERE]

    5 Summary Control Table by Organization (dollars in thousands - OMB Scoring) Summary Control by Organization Page 1 FY 2015 Congressional Request FY 2013 FY 2014 FY 2014 FY 2014 FY...

  7. TABLES3.CHP:Corel VENTURA

    Gasoline and Diesel Fuel Update (EIA)

    S3. Crude Oil and Petroleum Product Imports, 1988 - Present (Thousand Barrels per Day) See footnotes at end of table. 1988 Average ... 300 58 345 343 92 80 0 0 1989...

  8. THE DEEP SWIRE FIELD. IV. FIRST PROPERTIES OF THE SUB-mJy GALAXY POPULATION: REDSHIFT DISTRIBUTION, AGN ACTIVITY, AND STAR FORMATION

    SciTech Connect (OSTI)

    Strazzullo, Veronica; Pannella, Maurilio; Owen, Frazer N.; Wang, Wei-Hao [National Radio Astronomy Observatory, 1003 Lopezville Rd., Socorro, NM 87801 (United States); Bender, Ralf [Universitaets-Sternwarte, Scheinerstrasse 1, Munich D-81679 (Germany); Morrison, Glenn E. [Institute for Astronomy, University of Hawaii, Honolulu, HI 96822 (United States); Shupe, David L., E-mail: vstrazzu@nrao.ed [Infrared Processing and Analysis Center, California Institute of Technology, 100-22, Pasadena, CA 91125 (United States)

    2010-05-10T23:59:59.000Z

    We present a study of a 20 cm selected sample in the Deep Spitzer Wide-area InfraRed Extragalactic Legacy Survey Very Large Array Field, reaching a 5{sigma} limiting flux density at the image center of S{sub 1.4{sub GHz}} {approx} 13.5 {mu}Jy. In a 0.6 x 0.6 deg{sup 2} field, we are able to assign an optical/IR counterpart to 97% of the radio sources. Up to 11 passbands from the NUV to 4.5 {mu}m are then used to sample the spectral energy distribution (SED) of these counterparts in order to investigate the nature of the host galaxies. By means of an SED template library and stellar population synthesis models, we estimate photometric redshifts, stellar masses, and stellar population properties, dividing the sample into three sub-classes of quiescent, intermediate, and star-forming galaxies. We focus on the radio sample in the redshift range 0.3 < z < 1.3 where we estimate to have a redshift completeness higher than 90% and study the properties and redshift evolution of these sub-populations. We find that, as expected, the relative contributions of active galactic nuclei (AGNs) and star-forming galaxies to the {mu}Jy population depend on the flux density limit of the sample. At all flux levels, a significant population of 'green-valley' galaxies is observed. While the actual nature of these sources is not definitely understood, the results of this work may suggest that a significant fraction of faint radio sources might be composite (and possibly transition) objects, thus a simple 'AGN versus star-forming' classification might not be appropriate to fully understand what faint radio populations really are.

  9. Qualified Energy Conservation Bond State-by-State Summary Tables

    Broader source: Energy.gov [DOE]

    Provides a list of qualified energy conservation bond state summary tables. Author: Energy Programs Consortium

  10. Appendix A. Hydraulic Properties Statistics Tables Table A1. Hydraulic properties statistics for the alluvium (Stephens et al.).

    E-Print Network [OSTI]

    A-1 Appendix A. Hydraulic Properties Statistics Tables Table A1. Hydraulic properties statistics Deviation .1708 4.274 28.95 Harmonic Mean Number of Observations 9 8 8 2 2 2 2 2 Table A2. Hydraulic.3×10-5 Number of Observations 10 10 10 34 34 4 4 4 #12;A-2 Table A3. Hydraulic properties statistics

  11. Table Definitions, Sources, and Explanatory Notes

    Gasoline and Diesel Fuel Update (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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910.9. Table

  12. Fast mix table construction for material discretization

    SciTech Connect (OSTI)

    Johnson, S. R. [Oak Ridge National Laboratory, Oak Ridge, TN 37831 (United States)

    2013-07-01T23:59:59.000Z

    An effective hybrid Monte Carlo-deterministic implementation typically requires the approximation of a continuous geometry description with a discretized piecewise-constant material field. The inherent geometry discretization error can be reduced somewhat by using material mixing, where multiple materials inside a discrete mesh voxel are homogenized. Material mixing requires the construction of a 'mix table,' which stores the volume fractions in every mixture so that multiple voxels with similar compositions can reference the same mixture. Mix table construction is a potentially expensive serial operation for large problems with many materials and voxels. We formulate an efficient algorithm to construct a sparse mix table in O(number of voxels x log number of mixtures) time. The new algorithm is implemented in ADVANTG and used to discretize continuous geometries onto a structured Cartesian grid. When applied to an end-of-life MCNP model of the High Flux Isotope Reactor with 270 distinct materials, the new method improves the material mixing time by a factor of 100 compared to a naive mix table implementation. (authors)

  13. Table of Contents ODS Scholars 1

    E-Print Network [OSTI]

    Chapman, Michael S.

    Table of Contents ODS Scholars 1 Endowed Lecture 1 Senju 3 Research Awards 4 Dr. Stewart 5 OHSU (see page two) 2011 ODS Scholars Announced May 2 The $300,000 gift from the ODS Companies provides five students recently were selected as ODS Scholars for 2011-2012. The awardees were announced at the third

  14. Section 4. Inventory Table of Contents

    E-Print Network [OSTI]

    Section 4. Inventory Table of Contents 4.1 Existing Legal Protections........................................................................................................... 14 #12;Draft Umatilla/Willow Subbasin Plan May 28, 2004 4. Inventory of Existing Activities The following section contains information derived from an inventory questionnaire that was sent

  15. Philosophy 57 Greensheet (Syllabus) Table of Contents

    E-Print Network [OSTI]

    Fitelson, Branden

    Philosophy 57 Greensheet (Syllabus) Table of Contents: Instructor Information Course Home Page Greensheet Page Page 1 of 3http://philosophy.wisc.edu/fitelson/57/syllabus.htm #12;I highly recommend using/syllabus.htm #12;Your 2 lowest quiz grades will be dropped ( , your 5 best quiz scores will be averaged). i

  16. CONTROL OF HAZARDOUS ENERGY Table Of Contents

    E-Print Network [OSTI]

    US Army Corps of Engineers

    EM 385-1-1 XX Sep 13 i Section 12 CONTROL OF HAZARDOUS ENERGY Table Of Contents Section: Page 12.A General.................. .............................................. ... .12-1 12.B Hazardous Energy.......................................................12-6 #12;EM 385-1-1 XX Sep 13 12-1 SECTION 12 CONTROL OF HAZARDOUS ENERGY 12.A GENERAL 12.A.01 When

  17. A reconstruction of the tables of Thompson's

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A reconstruction of the tables of Thompson's Logarithmetica Britannica (1952) Denis Roegel 20-21Dec2011 #12;hal-00654453,version1-21Dec2011 #12;1 Alexander John Thompson (1885­19??) Alexander John Thompson was born in 1885 in Plaistow, Essex, England. In 1920, he joined the statistical staff

  18. TABLE OF CONTENTS Organizational Profile i

    E-Print Network [OSTI]

    Magee, Joseph W.

    1 #12;2 TABLE OF CONTENTS Organizational Profile i Leadership 1 1.1a. Vision, Values and Mission 1 1.1b. Communication and Organizational Performance 3 1.2a. Organizational Governance 3 1.2b. Legal employees with ORGANIZATIONAL PROFILE $26 million in revenue. Most of that revenue was generated by its

  19. Table of hyperfine anomaly in atomic systems

    SciTech Connect (OSTI)

    Persson, J.R., E-mail: jonas.persson@ntnu.no

    2013-01-15T23:59:59.000Z

    This table is a compilation of experimental values of magnetic hyperfine anomaly in atomic and ionic systems. The last extensive compilation was published in 1984 by Büttgenbach [S. Büttgenbach, Hyperfine Int. 20 (1984) 1] and the aim here is to make an up to date compilation. The literature search covers the period up to January 2011.

  20. Schedule Worksheet -Table of Contents Subject Description

    E-Print Network [OSTI]

    Pittendrigh, Barry

    Subject Description NUPH NUPH-Nuclear Pharmacy NUR NUR-Nursing OBHR OBHR-Orgnztnl Bhvr &Hum Resrce OLS OLS Description CLPH CLPH-Clinical Pharmacy CMCI CMCI-CIC Common Market CMPL CMPL-Comparative Literature CNIT CNIT Sci NS NS-Naval Science NUCL NUCL-Nuclear Engineering #12;Schedule Worksheet - Table of Contents

  1. Schedule Worksheet -Table of Contents Subject Description

    E-Print Network [OSTI]

    Ginzel, Matthew

    ;Schedule Worksheet - Table of Contents Subject Description NUPH NUPH-Nuclear Pharmacy NUR NUR-Nursing NUTR Description CLPH CLPH-Clinical Pharmacy CMCI CMCI-CIC Common Market CMPL CMPL-Comparative Literature CNIT CNIT-Music History & Theory NRES NRES-Natural Res & Environ Sci NS NS-Naval Science NUCL NUCL-Nuclear Engineering #12

  2. VEHICLE SERVICES POLICY Table of Contents

    E-Print Network [OSTI]

    Shihadeh, Alan

    VEHICLE SERVICES POLICY Table of Contents 1. Policy 2. Procedures a. Vehicle Services Oversight b. Vehicle Maintenance and Inspection c. Authorized Drivers d. Responsibilities Back to Top (To download requirements for AUB's vehicles, the University has adopted a policy of centralizing these activities under one

  3. Streiffer's Job Market Sampler Table of Contents

    E-Print Network [OSTI]

    Streiffer, Robert

    Streiffer's Job Market Sampler Table of Contents · Cover letters addressing a variety of jobs Dean Sigman, I am writing to apply for position number 8, advertised in Jobs for Philosophers, volume. Respectfully yours, Robert Streiffer (rstreiff@mit.edu) #12;Cover letter for a job listing which

  4. VEHICLES, MACHINERY AND EQUIPMENT Table Of Contents

    E-Print Network [OSTI]

    US Army Corps of Engineers

    of a license/permit for each piece of equipment, an Operator Equipment Qualification Record (DA Form 348EM 385-1-1 XX Sep 13 i Section 18 VEHICLES, MACHINERY AND EQUIPMENT Table Of Contents Section: Page...................................................................18-16 18.G Machinery And Mechanized Equipment.........................18-16 18.H Drilling Equipment

  5. WORK PLATFORMS and SCAFFOLDING Table Of Contents

    E-Print Network [OSTI]

    US Army Corps of Engineers

    EM 385-1-1 XX Sep 13 i Section 22 WORK PLATFORMS and SCAFFOLDING Table Of Contents Section: Page 22 (Personnel) Platforms...................22-33 22.L Elevating Work Platforms..............................................22-33 22.M Vehicle-Mounted Elevating And Rotating Work Platforms (Aerial Devices

  6. Fusion Tables : new ways to collaborate on structured data

    E-Print Network [OSTI]

    Kidon, Jonathan Goldberg

    2010-01-01T23:59:59.000Z

    Fusion Tables allows data collaborators to create, merge, navigate and set access control permissions on structured data. This thesis focuses on the collaboration tools that were added to Googles Fusion Tables. The ...

  7. MemTable : contextual memory in group workspaces

    E-Print Network [OSTI]

    Hunter, Seth E

    2009-01-01T23:59:59.000Z

    This thesis presents the design and implementation of MemTable, an interactive touch table that supports co-located group meetings by capturing both digital and physical interactions in its memory. The goal of the project ...

  8. Environmental Regulatory Update Table, January/February 1992

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1992-03-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action. This table is for January/February 1992.

  9. A PC simulation of heat transfer and temperature distribution in a circulating wellbore

    E-Print Network [OSTI]

    Pierce, Robert Duane

    1987-01-01T23:59:59.000Z

    for Varying Drill Pipe 59 Outer Diameter TABLE 4 - Well Data Summary For Varying Mud Flow Rate TABLE 5 ? Mell Data Summary For Varying Heat Transfer 60 62 Coefficient (Pipe) 65 TABLE 6 ? Well Data Summary For Varying Heat Transfer Coefficient (Annulus.... 2 - Introductory menu of program Fig. 3 - Program master menu Fig. 4 ? Change/view parameters menu Fig. 5 ? Drilling fluid parameters menu Fig. 6 ? Drill pipe parameters menu Fig. 7 ? Mellbore/formation parameters menu Fig. 8 - Casing...

  10. A PC simulation of heat transfer and temperature distribution in a circulating wellbore 

    E-Print Network [OSTI]

    Pierce, Robert Duane

    1987-01-01T23:59:59.000Z

    for Varying Drill Pipe 59 Outer Diameter TABLE 4 - Well Data Summary For Varying Mud Flow Rate TABLE 5 ? Mell Data Summary For Varying Heat Transfer 60 62 Coefficient (Pipe) 65 TABLE 6 ? Well Data Summary For Varying Heat Transfer Coefficient (Annulus.... 2 - Introductory menu of program Fig. 3 - Program master menu Fig. 4 ? Change/view parameters menu Fig. 5 ? Drilling fluid parameters menu Fig. 6 ? Drill pipe parameters menu Fig. 7 ? Mellbore/formation parameters menu Fig. 8 - Casing...

  11. Effective July 1, 2013 Table of Organization: College of Law

    E-Print Network [OSTI]

    Stanier, Charlie

    Effective July 1, 2013 Table of Organization: College of Law Dean Gail Agrawal Assistant to the Dean Legal Clinic Julie Kramer {See Clinic Table for organization} Special Assistant to the Dean Gerhild Krapf Centers {See separate tables for organization} Assoc. Dean for Research Assoc. Dean Assoc

  12. Table Contents Page i 2013 Nonresidential Compliance Manual January 2014

    E-Print Network [OSTI]

    Table B-1 Room Air Conditioner, Room Air-Conditioning Heat Pump, Packaged Terminal Air Conditioner ....................................................................................11 Table B-2 Standards for Room Air Conditioners and Room Air-Conditioning Heat Pumps...........12 Table B-3 Standards for Packaged Terminal Air Conditioners and Packaged Terminal Heat Pumps

  13. Tables of thermodynamic properties of sodium

    SciTech Connect (OSTI)

    Fink, J.K.

    1982-06-01T23:59:59.000Z

    The thermodynamic properties of saturated sodium, superheated sodium, and subcooled sodium are tabulated as a function of temperature. The temperature ranges are 380 to 2508 K for saturated sodium, 500 to 2500 K for subcooled sodium, and 400 to 1600 K for superheated sodium. Tabulated thermodynamic properties are enthalpy, heat capacity, pressure, entropy, density, instantaneous thermal expansion coefficient, compressibility, and thermal pressure coefficient. Tables are given in SI units and cgs units.

  14. Alternate Thesis & Dissertation Formats Manuscript Format Guidelines

    E-Print Network [OSTI]

    Mayfield, John

    Alternate Thesis & Dissertation Formats Manuscript Format Guidelines In addition to the standard format for dissertation/thesis, the Graduate School allows for the use of an alternative format. The manuscript format refers to the use of articles and/or book chapters to replace the standard dissertation

  15. TABLE53.CHP:Corel VENTURA

    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 122Commercial ConsumersThousandCubic Feet) DecadeV - DailyPercent 0 0 09.Table 53.

  16. TABLE54.CHP:Corel VENTURA

    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 122Commercial ConsumersThousandCubic Feet) DecadeV - DailyPercent 0 0 09.Table

  17. Federal Buildings Supplemental Survey -- Publication and Tables

    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 40CoalLease(Billion2,12803 Table A1. Refiner/Reseller2009 2010 2011Overview >

  18. FY 2009 Control Table by Appropriation

    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 Strategic Plan| Department of.pdf6-OPAMDepartment6 FY 2007 FY 2008 Current27Control Table

  19. Help:Tables | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORTEnergyFarms AHefei Sungrow PowersourceSubObjects JumpTables

  20. Table of Contents for Desk Guide

    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,ZaleskiThis Decision considersTable 1: Points of Entry/Exit

  1. State Historical Tables for 2001 - 2003

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConference |6: "Regulating3 Released:

  2. State Historical Tables for 2001 - 2004

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConference |6: "Regulating3 Released:4

  3. Table 11. Net metering, 2010 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConference |6:WelcomeArkansas":

  4. Table 11. Net metering, 2010 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConference

  5. Table 12. Advanced metering, 2007 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConferenceInstalled NameplateTotal

  6. Table 12. Advanced metering, 2007 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConferenceInstalled

  7. Table 13. Coal Production, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConferenceInstalled: Associated-dissolved:

  8. Table 16. U.S. Coke Exports

    Gasoline and Diesel Fuel Update (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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910. Average3.5.6.

  9. Table 18. U.S. Coal Imports

    Gasoline and Diesel Fuel Update (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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910.

  10. Table 20. Coal Imports by Customs District

    Gasoline and Diesel Fuel Update (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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910.9. Average

  11. Table 21. U.S. Coke Imports

    Gasoline and Diesel Fuel Update (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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910.9. Average1.

  12. Table 7. U.S. Coal Exports

    Gasoline and Diesel Fuel Update (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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910.9. Average1.2.7.

  13. Summary Statistics Table 1. Crude Oil Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan FebDecadeDecade21 Louisiana LouisianaCubicCubicYear Jan

  14. Tables, Graphs, and Problems | ornl.gov

    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 SolStrengthening a solidSynthesis of 2D Alloys &8-5070P3. U.S.7.Tables, Graphs,

  15. International energy indicators. [Statistical tables and graphs

    SciTech Connect (OSTI)

    Bauer, E.K. (ed.)

    1980-05-01T23:59:59.000Z

    International statistical tables and graphs are given for the following: (1) Iran - Crude Oil Capacity, Production and Shut-in, June 1974-April 1980; (2) Saudi Arabia - Crude Oil Capacity, Production, and Shut-in, March 1974-Apr 1980; (3) OPEC (Ex-Iran and Saudi Arabia) - Capacity, Production and Shut-in, June 1974-March 1980; (4) Non-OPEC Free World and US Production of Crude Oil, January 1973-February 1980; (5) Oil Stocks - Free World, US, Japan, and Europe (Landed, 1973-1st Quarter, 1980); (6) Petroleum Consumption by Industrial Countries, January 1973-December 1979; (7) USSR Crude Oil Production and Exports, January 1974-April 1980; and (8) Free World and US Nuclear Generation Capacity, January 1973-March 1980. Similar statistical tables and graphs included for the United States include: (1) Imports of Crude Oil and Products, January 1973-April 1980; (2) Landed Cost of Saudi Oil in Current and 1974 Dollars, April 1974-January 1980; (3) US Trade in Coal, January 1973-March 1980; (4) Summary of US Merchandise Trade, 1976-March 1980; and (5) US Energy/GNP Ratio, 1947 to 1979.

  16. Environmental regulatory update table, September--October 1992

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Lewis, E.B.; Salk, M.S.

    1992-11-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  17. Environmental Regulatory Update Table, January--February 1993

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1993-03-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  18. Environmental Regulatory Update Table, November--December 1992

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Lewis, E.B.; Salk, M.S.

    1993-01-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly wit information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  19. Environmental Regulatory Update Table, January--February 1994

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1994-03-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations ad contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  20. Environmental Regulatory Update Table, November--December 1993

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1994-01-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  1. Environmental regulatory update table, July/August 1994

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Bock, R.E.; Salk, M.S.

    1994-09-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  2. Environmental regulatory update table: September/October 1994

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Bock, R.E.; Salk, M.S.

    1994-11-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  3. Environmental regulatory update table, March--April 1994

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Bock, R.E. [Oak Ridge National Lab., TN (United States). Health Sciences Research Div.; Salk, M.S. [Oak Ridge National Lab., TN (United States). Environmental Sciences Div.

    1994-03-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  4. Environmental Regulatory Update Table, May--June 1994

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Bock, R.E.; Salk, M.S.

    1994-07-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bimonthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  5. Environmental Regulatory Update Table, July--August 1992

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Lewis, E.B.; Salk, M.S.

    1992-09-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  6. Environmental Regulatory Update Table, March/April 1992

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1992-05-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  7. Environmental Regulatory Update Table, September/October 1993

    SciTech Connect (OSTI)

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1993-11-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operation and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  8. Environmental sciences division: Environmental regulatory update table July 1988

    SciTech Connect (OSTI)

    Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-08-01T23:59:59.000Z

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  9. Microsoft Word - 2014_MVA - Table.docx

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

    for Spatial Mapping of Carbon Dioxide for MonitoringVerificationAccounting at Geologic Carbon Sequestration Sites Montana State University MT01 Distributed Fiber Optic Arrays:...

  10. TABLE OF CONTENTS University Calendar ..............................4

    E-Print Network [OSTI]

    Hull, Elaine

    , or Distribution of Illicit Drugs and Alcohol.......... 12 Standards of Conduct......................................13 University History............................................. 13 University Organization............................................... 21 International Programs.......................23 International Commitment

  11. POLICIES&INFORMATION TABLE OF CONTENTS

    E-Print Network [OSTI]

    Hull, Elaine

    on the Unlawful Possession, Use, or Distribution of Illicit Drugs and Alcohol .................... 12 Standards University Organization .......................... 14 Panama City Campus ........................... 14 ..................................... 21 International Programs ............... 23 International Commitment ...................... 23

  12. Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...

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

    250 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State (Thousand Gallons...

  13. Table 32. Conventional Motor Gasoline Prices by Grade, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    Information AdministrationPetroleum Marketing Annual 1998 Table 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  14. Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    - - - - W W - - - - - - See footnotes at end of table. 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State 292 Energy...

  15. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

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

    220 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  16. Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    Information AdministrationPetroleum Marketing Annual 1998 Table 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and Selected States (Cents per...

  17. Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...

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

    Petroleum Marketing Annual 1995 Table 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State (Thousand Gallons per Day) -...

  18. Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration Petroleum Marketing Annual 1995 Table 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  19. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

    Gasoline and Diesel Fuel Update (EIA)

    220 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  20. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

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

    Energy Information Administration Petroleum Marketing Annual 1995 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  1. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

    Gasoline and Diesel Fuel Update (EIA)

    134 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  2. Petroleum Products Table 43. Refiner Motor Gasoline Volumes...

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

    220 Energy Information AdministrationPetroleum Marketing Annual 2000 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  3. Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...

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

    Petroleum Marketing Annual 1998 Table 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State (Thousand Gallons per Day) -...

  4. Table 32. Conventional Motor Gasoline Prices by Grade, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    - - - - W W - - - - - - See footnotes at end of table. 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 86 Energy Information...

  5. Table 32. Conventional Motor Gasoline Prices by Grade, Sales...

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

    Information Administration Petroleum Marketing Annual 1995 Table 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  6. Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...

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

    Petroleum Marketing Annual 1999 Table 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State (Thousand Gallons per Day) -...

  7. Table 32. Conventional Motor Gasoline Prices by Grade, Sales...

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

    - - - - 64.7 64.7 - - - - - - See footnotes at end of table. 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 86 Energy Information...

  8. Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type...

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

    - - - - - - - - - - - - See footnotes at end of table. 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 116 Energy Information...

  9. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

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

    Energy Information Administration Petroleum Marketing Annual 1995 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  10. Petroleum Products Table 43. Refiner Motor Gasoline Volumes...

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

    Energy Information Administration Petroleum Marketing Annual 1995 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  11. Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type...

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration Petroleum Marketing Annual 1995 Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  12. Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...

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

    250 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State (Thousand Gallons...

  13. Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    Information AdministrationPetroleum Marketing Annual 1999 Table 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and Selected States (Cents per...

  14. Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    Energy Information Administration Petroleum Marketing Annual 1995 Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State (Thousand Gallons...

  15. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

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

    134 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  16. Table of contents 1 What is software architecture? ......................................................................... 1

    E-Print Network [OSTI]

    Dustdar, Schahram

    Table of contents 1 What is software architecture? ......................................................................... 1 1.1 Software architecture as abstraction ............................................................ 2 1.2 Software architecture as blueprint

  17. Figure 3-11 South Table Mountain Utilities Map

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

    Existing Buildings Electrical Figure 3-11 South Table Mountain Utilities Map Sewer Communication Water Surface Drainage Storm Water WATER TANK FACILITIES QUAKER STREET OLD QUA RRY...

  18. SuStainability table of contentS

    E-Print Network [OSTI]

    Karonis, Nicholas T.

    SuStainability table of contentS executive Summary-Related Sustainability Options ........................................... 41 Information Technology Infrastucture #12;sustainability 2 Private Giving

  19. Table 21. Domestic Crude Oil First Purchase Prices

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

    Information AdministrationPetroleum Marketing Annual 1998 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

  20. Table 21. Domestic Crude Oil First Purchase Prices

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

    Information Administration Petroleum Marketing Annual 1995 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

  1. Commercial Buildings Energy Consumption Survey 2003 - Detailed Tables

    Reports and Publications (EIA)

    2008-01-01T23:59:59.000Z

    The tables contain information about energy consumption and expenditures in U.S. commercial buildings and information about energy-related characteristics of these buildings.

  2. EIA - Annual Energy Outlook (AEO) 2012 Data Tables

    Gasoline and Diesel Fuel Update (EIA)

    75. Imported Liquids by Source XLS Table 76. Conversion Factors XLS About the Annual Energy Outlook Contact information and staff Press release AEO2012 Early Release AEO2012...

  3. EIA - Annual Energy Outlook (AEO) 2011 Data Tables

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

    75. Imported Liquids by Source XLS Table 76. Conversion Factors XLS About the Annual Energy Outlook Contact Information and Staff About the National Energy Modeling System (NEMS)...

  4. Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...

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

    Marketing Annual 1999 Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State (Thousand Gallons per Day) -...

  5. Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...

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

    See footnotes at end of table. 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State 386 Energy Information...

  6. Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...

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

    Marketing Annual 1995 Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State (Thousand Gallons per Day) -...

  7. Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...

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

    Marketing Annual 1998 Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State (Thousand Gallons per Day) -...

  8. EIA - Annual Energy Outlook (AEO) 2013 Data Tables

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

    and Income and Employment by Region Table 74. Conversion Factors About the Annual Energy Outlook Contact information and staff Press release Press conference presentation...

  9. Table 50. Prime Supplier Sales Volumes of Distillate Fuel Oils...

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

    Marketing Annual 1998 359 Table 50. Prime Supplier Sales Volumes of Distillate Fuel Oils and Kerosene by PAD District and State (Thousand Gallons per Day) - Continued...

  10. Table 50. Prime Supplier Sales Volumes of Distillate Fuel Oils...

    Gasoline and Diesel Fuel Update (EIA)

    Marketing Annual 1999 359 Table 50. Prime Supplier Sales Volumes of Distillate Fuel Oils and Kerosene by PAD District and State (Thousand Gallons per Day) - Continued...

  11. Table I: Technical Targets for Catalyst Coated Membranes (CCMs...

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

    I: Technical Targets for Catalyst Coated Membranes (CCMs): Automotive Table I: Technical Targets for Catalyst Coated Membranes (CCMs): Automotive Technical targets for fuel cell...

  12. Ultrasonic absorption associated with tertiary butanol complex formation in normal-hexane solutions

    E-Print Network [OSTI]

    Bucaram, Salim Michel

    1961-01-01T23:59:59.000Z

    and Concentration Dependence of the Residue Formation in Mixtures of Tertiary Butanol in Normal-Hexane and Cyclohexane . 44 LIST OF TABLES Table Page 1. Relaxation Data 34 2. Results of 11. 2 C. 37 3. Results of 0 C Analysis . . 0 4. Properties of Normal... Timmermans 5 Musa fromy= 1+MTQ c /Cp 2 2 Guggenheim13 12 Ttmmermans 40 TABLE 5 5 Results of Analysisof Tertiary Butanol in Cyclohexane. Data by Musa N 0 mole fraction * 3 N x 10 mole fraction * 3 N x10 mole fraction N x10 3 mole fra ct...

  13. Distribution of ochratoxin A in the pregnant rat

    E-Print Network [OSTI]

    Ballinger, Michael Brent

    1983-01-01T23:59:59.000Z

    . . . APPENDIX 1. SAFETY PROCEDURES. APPENDIX 2. BIOLOGICAL OXIDIZER PROCEDURES. . . APPENDIX 3. LIQUID SCINTILLATION COUNTING. . . . APPENDIX 4. PHARMACOKINETIC CALCULATIONS. . . . . VITA. 1V V1 V11 V111 3 4 12 26 27 27 27 28 29 33 35 54 57... 66 68 71 73 74 LIST OF TABLES Table Page 1 Pharmacokinetic parameters estimated from the serum radioactivity derived from 3H-ochratoxin A in pregnant rats. . 2 Excretion of 3H radioactivity by pregnant rats. . 38 39 3 Distribution...

  14. INFRARED AND ULTRAVIOLET STAR FORMATION IN BRIGHTEST CLUSTER GALAXIES IN THE ACCEPT SAMPLE

    SciTech Connect (OSTI)

    Hoffer, Aaron S.; Donahue, Megan; Hicks, Amalia [Physics and Astronomy Department, Michigan State University, East Lansing, MI 48824-2320 (United States); Barthelemy, R. S., E-mail: hofferaa@msu.edu, E-mail: donahue@pa.msu.edu, E-mail: hicksam@msu.edu, E-mail: ramon.s.barthelemy@wmich.edu [Physics Department, Western Michigan University, Kalamazoo, MI 49008-5252 (United States)

    2012-03-01T23:59:59.000Z

    We present infrared (IR) and ultraviolet (UV) photometry for a sample of brightest cluster galaxies (BCGs). The BCGs are from a heterogeneous but uniformly characterized sample, the Archive of Chandra Cluster Entropy Profile Tables (ACCEPT), of X-ray galaxy clusters from the Chandra X-ray telescope archive with published gas temperature, density, and entropy profiles. We use archival Galaxy Evolution Explorer (GALEX), Spitzer Space Telescope, and Two Micron All Sky Survey (2MASS) observations to assemble spectral energy distributions (SEDs) and colors for BCGs. We find that while the SEDs of some BCGs follow the expectation of red, dust-free old stellar populations, many exhibit signatures of recent star formation in the form of excess UV or mid-IR emission, or both. We establish a mean near-UV (NUV) to 2MASS K color of 6.59 {+-} 0.34 for quiescent BCGs. We use this mean color to quantify the UV excess associated with star formation in the active BCGs. We use both fits to a template of an evolved stellar population and library of starburst models and mid-IR star formation relations to estimate the obscured star formation rates (SFRs). We show that many of the BCGs in X-ray clusters with low central gas entropy exhibit enhanced UV (38%) and mid-IR emission (43%) from 8 to 160 {mu}m, above that expected from an old stellar population. These excesses are consistent with ongoing star formation activity in the BCG, star formation that appears to be enabled by the presence of high-density, X-ray-emitting intergalactic gas in the core of the cluster of galaxies. This hot, X-ray-emitting gas may provide the enhanced ambient pressure and some of the fuel to trigger star formation. This result is consistent with previous works that showed that BCGs in clusters with low central gas entropies host H{alpha} emission-line nebulae and radio sources, while clusters with high central gas entropy exhibit none of these features. GALEX UV and Spitzer mid-IR measurements combined provide a complete picture of unobscured and obscured star formation occurring in these systems. We present IR and UV photometry and estimated equivalent continuous SFRs for a sample of BCGs.

  15. Uniform Distribution

    E-Print Network [OSTI]

    randomly and equally likely a point in that interval), the uniform distribution ... Roughly speaking, this means that from any distribution we can create the uniform.

  16. A reconstruction of the tables of the Shuli Jingyun

    E-Print Network [OSTI]

    Boyer, Edmond

    ­1722) and covering almost all mathematical knowledge known in China at that time. It was part of a larger collection movable copper type [23, p. 76], but the tables were certainly printed with xylography.2 The Shuli Jingyun was imported in other countries, such as 1 We have consulted the original tables at the Institut des Hautes

  17. Kinetic models of opinion formation

    E-Print Network [OSTI]

    G. Toscani

    2006-05-17T23:59:59.000Z

    We introduce and discuss certain kinetic models of (continuous) opinion formation involving both exchange of opinion between individual agents and diffusion of information. We show conditions which ensure that the kinetic model reaches non trivial stationary states in case of lack of diffusion in correspondence of some opinion point. Analytical results are then obtained by considering a suitable asymptotic limit of the model yielding a Fokker-Planck equation for the distribution of opinion among individuals.

  18. HANDLING MISSING ATTRIBUTE VALUES IN DECISION TABLES USING VALUED TOLERANCE APPROACH

    E-Print Network [OSTI]

    Vasudevan, Supriya

    2008-01-01T23:59:59.000Z

    =? ? = or ( ) *jc x = or ( ) *jc y = where x and y are two objects and ( )jc x and ( )jc x are the values of attribute jc for x and y respectively. The tolerance relation is the characteristic relation for ?do not care? conditions which are represented... by the valued tolerance approach is that there is a uniform probability distribution among the set of all attributes and the set of values that each attribute has is discrete. Consider a decision table IT (U, C). For every attribute jc , we can associate a...

  19. (Non) formation of methanol by direct hydrogenation of formate...

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

    (Non) formation of methanol by direct hydrogenation of formate on copper catalysts. (Non) formation of methanol by direct hydrogenation of formate on copper catalysts. Abstract: We...

  20. Table-top Extreme Ultraviolet Laser Aerial Imaging of Lithographic Masks

    E-Print Network [OSTI]

    Brizuela, F.

    2012-01-01T23:59:59.000Z

    Table-top Extreme Ultraviolet Laser Aerial Imaging ofmasks realized using a table-top aerial imaging systembased on a table-top X=\\3.2 laser. © 2 0 0 9 Optical Society

  1. Substructure: Clues to the Formation of Clusters of Galaxies

    E-Print Network [OSTI]

    Michael J. West; Christine Jones; William Forman

    1995-07-26T23:59:59.000Z

    We have examined the spatial distribution of substructure in clusters of galaxies using Einstein X-ray observations. Subclusters are found to have a markedly anisotropic distribution that reflects the surrounding matter distribution on supercluster scales. Our results suggest a picture in which cluster formation proceeds by mergers of subclusters along large-scale filaments. The implications of such an anisotropic formation process for the shapes, orientations and kinematics of clusters are discussed briefly.

  2. Stationary table CT dosimetry and anomalous scanner-reported values of CTDI{sub vol}

    SciTech Connect (OSTI)

    Dixon, Robert L., E-mail: rdixon@wfubmc.edu [Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina 27157 (United States); Boone, John M. [Departments of Radiology and Biomedical Engineering, University of California Davis, Sacramento, California 95817 (United States)] [Departments of Radiology and Biomedical Engineering, University of California Davis, Sacramento, California 95817 (United States)

    2014-01-15T23:59:59.000Z

    Purpose: Anomalous, scanner-reported values of CTDI{sub vol} for stationary phantom/table protocols (having elevated values of CTDI{sub vol} over 300% higher than the actual dose to the phantom) have been observed; which are well-beyond the typical accuracy expected of CTDI{sub vol} as a phantom dose. Recognition of these outliers as “bad data” is important to users of CT dose index tracking systems (e.g., ACR DIR), and a method for recognition and correction is provided. Methods: Rigorous methods and equations are presented which describe the dose distributions for stationary-table CT. A comparison with formulae for scanner-reported values of CTDI{sub vol} clearly identifies the source of these anomalies. Results: For the stationary table, use of the CTDI{sub 100} formula (applicable to a moving phantom only) overestimates the dose due to extra scatter and also includes an overbeaming correction, both of which are nonexistent when the phantom (or patient) is held stationary. The reported DLP remains robust for the stationary phantom. Conclusions: The CTDI-paradigm does not apply in the case of a stationary phantom and simpler nonintegral equations suffice. A method of correction of the currently reported CTDI{sub vol} using the approach-to-equilibrium formula H(a) and an overbeaming correction factor serves to scale the reported CTDI{sub vol} values to more accurate levels for stationary-table CT, as well as serving as an indicator in the detection of “bad data.”.

  3. Table for Estimating Histamine Formation in Skipjack Tuna, Katsuwonus pelamis, at Low Nonfreezing Temperatures

    E-Print Network [OSTI]

    position during cold storage of skipjack tuna before the fish are frozen on commer cial fishing vessels. 49 the industry, as well as various agencies, have employed his tamine as a quantitative indicator of the loss

  4. A multiple layer numerical model of the formation of the low-level jet

    E-Print Network [OSTI]

    Shen, Tsu-Cheng

    1980-01-01T23:59:59.000Z

    310 320 e(kj Fig. 3. The initial vertical distribution of potential tempera- ture in the model . Table 3. The vertical distribution of the variables used for setting the initial conditions. LEVEL k (m s ) kh(m s ) u(ms ) v(ms ) w(ms ) e (k) 00 p...

  5. Composite slip table of dissimilar materials for damping longitudinal modes

    DOE Patents [OSTI]

    Gregory, D.L.; Priddy, T.G.; Smallwood, D.O.; Woodall, T.D.

    1991-06-18T23:59:59.000Z

    A vibration slip table for use in a vibration testing apparatus is disclosed. The tables comprised of at least three composite layers of material; a first metal layer, a second damping layer, and a third layer having a high acoustic velocity relative to the first layer. The different acoustic velocities between the first and third layers cause relative shear displacements between the layers with the second layer damping the displacements between the first and third layers to reduce the table longitudinal vibration modes. 6 figures.

  6. Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...

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

    table. 56 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  7. Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...

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

    table. 56 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  8. Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...

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

    table. 56 Energy Information Administration Petroleum Marketing Annual 1995 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  9. THERMODYNAMIC TABLES FOR NUCLEAR WASTE ISOLATION, V.1: AQUEOUS SOLUTIONS DATABASE

    E-Print Network [OSTI]

    Phillips, S.L.; Hale, F.V.; Silvester, L.F.

    2008-01-01T23:59:59.000Z

    National Laboratory Nuclear Waste Nanagement Division Upton,~ermodynamic Tables for Nuclear Waste Isolation Vol. I. Aq~Thermodynamic Tables for Nuclear Waste Isolation. Vol 1.

  10. EXHIBIT A: CRADA, WFO, PUA and NPUA Comparison Table, with suggested...

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

    EXHIBIT A: CRADA, WFO, PUA and NPUA Comparison Table, with suggested changes EXHIBIT A: CRADA, WFO, PUA and NPUA Comparison Table, with suggested changes Suggested changes to the...

  11. RSE Table 1.1 Relative Standard Errors for Table 1.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" " Unit:

  12. RSE Table 1.2 Relative Standard Errors for Table 1.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" " Unit:2

  13. RSE Table 10.10 Relative Standard Errors for Table 10.10

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" " Unit:20

  14. RSE Table 10.11 Relative Standard Errors for Table 10.11

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" " Unit:201

  15. RSE Table 10.12 Relative Standard Errors for Table 10.12

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" " Unit:2012

  16. RSE Table 10.13 Relative Standard Errors for Table 10.13

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" " Unit:20123

  17. RSE Table 2.1 Relative Standard Errors for Table 2.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "

  18. RSE Table 3.1 Relative Standard Errors for Table 3.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1 Relative

  19. RSE Table 3.2 Relative Standard Errors for Table 3.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1 Relative2

  20. RSE Table 3.5 Relative Standard Errors for Table 3.5

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1 Relative25

  1. RSE Table 4.1 Relative Standard Errors for Table 4.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1

  2. RSE Table 4.2 Relative Standard Errors for Table 4.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "12 Relative

  3. RSE Table 5.1 Relative Standard Errors for Table 5.1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "12 Relative1

  4. RSE Table 5.2 Relative Standard Errors for Table 5.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "12

  5. RSE Table 5.4 Relative Standard Errors for Table 5.4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "124 Relative

  6. RSE Table 5.5 Relative Standard Errors for Table 5.5

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "124

  7. RSE Table 5.6 Relative Standard Errors for Table 5.6

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1246

  8. RSE Table 5.7 Relative Standard Errors for Table 5.7

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "12467

  9. RSE Table 5.8 Relative Standard Errors for Table 5.8

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "124678

  10. RSE Table 7.10 Relative Standard Errors for Table 7.10

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1246780

  11. RSE Table 7.3 Relative Standard Errors for Table 7.3

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "12467803

  12. RSE Table 7.4 Relative Standard Errors for Table 7.4

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "124678034

  13. RSE Table 7.5 Relative Standard Errors for Table 7.5

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "1246780345

  14. RSE Table 7.6 Relative Standard Errors for Table 7.6

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "12467803456

  15. RSE Table 7.7 Relative Standard Errors for Table 7.7

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;" "124678034567

  16. RSE Table 7.9 Relative Standard Errors for Table 7.9

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"

  17. RSE Table 8.2 Relative Standard Errors for Table 8.2

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"2 Relative Standard

  18. Table B1. Summary Table: Totals and Means of Floorspace, Number of Workers, and

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWestQuantity of2". Summary Table:

  19. TABLE OF CONTENTS Message from the Chancellor 3

    E-Print Network [OSTI]

    Wang, Yuqing

    0 #12;1 TABLE OF CONTENTS Message from the Chancellor 3 Message from the Assistant Vice Chancellor 59 #12;3 MESSAGE FROM THE CHANCELLOR Aloha Kkou, As we head into the 2013-2014 academic year

  20. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

    Gasoline and Diesel Fuel Update (EIA)

    150.0 2,026.7 W W 234.5 161.7 - 396.3 See footnotes at end of table. 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State 262 Energy Information...

  1. Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...

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

    - - 466.1 466.1 See footnotes at end of table. 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State 356 Energy Information...

  2. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

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

    253.2 2,222.4 W W 206.4 134.3 - 340.7 See footnotes at end of table. 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State 262 Energy Information...

  3. Petroleum Products Table 43. Refiner Motor Gasoline Volumes...

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

    150.0 2,026.7 W W 234.5 161.7 - 396.3 See footnotes at end of table. 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State 262 Energy Information...

  4. Petroleum Products Table 43. Refiner Motor Gasoline Volumes...

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

    253.2 2,222.4 W W 206.4 134.3 - 340.7 See footnotes at end of table. 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State 262 Energy Information...

  5. Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...

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

    - - 532.1 532.1 See footnotes at end of table. 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State 356 Energy Information...

  6. THE RADIOLOGICAL RESEARCH ACCELERATOR FACILITY RARAF -Table of Contents

    E-Print Network [OSTI]

    THE RADIOLOGICAL RESEARCH ACCELERATOR FACILITY 75 RARAF - Table of Contents RARAF Professional FOR RADIOLOGICAL RESEARCH · ANNUAL REPORT 2005 76 The Radiological Research Accelerator Facility AN NIH .................................................................................................................................................72 Development of Facilities

  7. THE RADIOLOGICAL RESEARCH ACCELERATOR FACILITY RARAF -Table of Contents

    E-Print Network [OSTI]

    THE RADIOLOGICAL RESEARCH ACCELERATOR FACILITY 113 RARAF - Table of Contents RARAF Professional · ANNUAL REPORT 2007 114 The Radiological Research Accelerator Facility AN NIH-SUPPORTED RESOURCE CENTER................................................................................................................................................114 Development of Facilities

  8. THE RADIOLOGICAL RESEARCH ACCELERATOR FACILITY RARAF Table of Contents

    E-Print Network [OSTI]

    THE RADIOLOGICAL RESEARCH ACCELERATOR FACILITY RARAF Table of Contents RARAF Professional Staff RESEARCH ANNUAL REPORT 2009 The Radiological Research Accelerator Facility AN NIH-SUPPORTED RESOURCE................................................................................................................................................101 Development of Facilities

  9. THE RADIOLOGICAL RESEARCH ACCELERATOR FACILITY RARAF Table of Contents

    E-Print Network [OSTI]

    THE RADIOLOGICAL RESEARCH ACCELERATOR FACILITY 118 RARAF Table of Contents RARAF Professional ANNUAL REPORT 2008 119 The Radiological Research Accelerator Facility AN NIH-SUPPORTED RESOURCE CENTER................................................................................................................................................119 Development of Facilities

  10. THE RADIOLOGICAL RESEARCH ACCELERATOR FACILITY RARAF -Table of Contents

    E-Print Network [OSTI]

    THE RADIOLOGICAL RESEARCH ACCELERATOR FACILITY 117 RARAF - Table of Contents RARAF Professional RESEARCH · ANNUAL REPORT 2010 118 The Radiological Research Accelerator Facility AN NIH-SUPPORTED RESOURCE................................................................................................................................................117 Development of Facilities

  11. THE RADIOLOGICAL RESEARCH ACCELERATOR FACILITY RARAF -Table of Contents

    E-Print Network [OSTI]

    THE RADIOLOGICAL RESEARCH ACCELERATOR FACILITY 65 RARAF - Table of Contents RARAF Professional FOR RADIOLOGICAL RESEARCH · ANNUAL REPORT 2006 66 The Radiological Research Accelerator Facility AN NIH..................................................................................................................................................66 Development of facilities

  12. Explanation of Tables Handed out at September 2.PDF

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

    Informal Meeting - Explanation of columns from the left of the table. Gross Gen from Hydro LP - This column contains the raw generation output from the Hydro LP model, for all...

  13. Energy Information Agency's 2003 Commercial Building Energy Consumption Survey Tables

    Broader source: Energy.gov [DOE]

    Energy use intensities in commercial buildings vary widely and depend on activity and climate, as shown in this data table, which was derived from the Energy Information Agency's 2003 Commercial Building Energy Consumption Survey.

  14. DOE Zero Energy Ready Home Second Production Builder Round Table

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

    Second Production Builder Round Table January 2015 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United...

  15. Table 21. Domestic Crude Oil First Purchase Prices

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

    19.11 18.73 18.63 17.97 18.75 18.10 See footnotes at end of table. 21. Domestic Crude Oil First Purchase Prices Energy Information Administration Petroleum Marketing Annual...

  16. Building an electronic drafting table for sketch recognition

    E-Print Network [OSTI]

    Bruening, Oskar Ernst, 1979-

    2004-01-01T23:59:59.000Z

    Sketch recognition as developed by the CSAIL Design Rationale Group allows a designer to sketch out and test design ideas without the need for complicated CAD programs. An electronic drafting table is required to capture ...

  17. Tracking Grantee Portal Standards and Recommendations Standards and Recommendations Table

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    Tracking Grantee Portal Standards and Recommendations April 2009 Standards and Recommendations Table Tracking Network Standards Provide both public and secure grantee portals. Provide a link on a grantee's portal. Organize contents of pages to facilitate the identification of detailed information

  18. Table 26. Natural gas home customer-weighted heating degree...

    Gasoline and Diesel Fuel Update (EIA)

    92 Created on: 3262015 1:21:33 PM Table 26. Natural gas home customer-weighted heating degree days New England Middle Atlantic East North Central West North Central South...

  19. Description of 2003 CBECS Detailed Tables and Categories of Data

    Gasoline and Diesel Fuel Update (EIA)

    floorspace heated, cooled, and lit, and energy-using equipment types (heating, cooling, water heating, lighting, and refrigeration). Tables C1-C12 and C1A-C12A contain energy usage...

  20. TableofContentsEnvironmentalStudies Table of Contents Environmental Studies

    E-Print Network [OSTI]

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 348 · Environmental Management: Policy, Resources and Conservation345 TableofContents­EnvironmentalStudies Table of Contents ­ Environmental Studies Faculty of Environmental Studies . . . . . . . . . . . . . . . . 347 The Bachelor in Environmental Studies

  1. Construction of tree volume tables from integration of taper equations

    E-Print Network [OSTI]

    Coffman, Jerry Gale

    1973-01-01T23:59:59.000Z

    August 1973 Major Subject: Forest Science CONSTRUCTION OF TREE VOLUME TABLES FROM INTEGRATION OF TAPER EqUATIONS A Thesis by JERRY GALE COFFMAN Approved as to style and content by: , . . -('7)i- 7 Jf A~(''~--- (Chairman of Committee) (8 ad... of Dsp ar tment) (Member) (Member August 1973 488899 ABSTRACT Construction of Tree Volume Tables From Integration of Taper Equations. (August. 1973) Jerry Gale Coffman, B. S. F. , University of Arkansas at Monticello; Directed by: Dr. De~id M...

  2. Special Distribution

    Office of Legacy Management (LM)

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

  3. Distribution Category:

    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 CorpNew 1325.8. (8-89)p,Departtient,of-

  4. EXFOR systems manual: Nuclear reaction data exchange format

    SciTech Connect (OSTI)

    McLane, V. [ed.

    1996-07-01T23:59:59.000Z

    This document describes EXFOR, the exchange format designed to allow transmission of nuclear reaction data between the members of the Nuclear Data Centers Network. In addition to storing the data and its bibliographic information, experimental information, including source of uncertainties, is also compiled. The status and history of the data set is also included, e.g., the source of the data, any updates which have been made, and correlations to other data sets. The exchange format, as outlined, is designed to allow a large variety of numerical data tables with explanatory and bibliographic information to be transmitted in an easily machine-readable format (for checking and indicating possible errors) and a format that can be read by personnel (for passing judgment on and correcting any errors indicated by the machine).

  5. Table Contents Page i 2013 Nonresidential Compliance Manual January 2014

    E-Print Network [OSTI]

    .................................................................................................28 8.8 Electrical Power Distribution Systems Compliance Documents......................................................................30 8.8.6 Instructions for Completing Electrical Power Distribution Systems Certificate. Electrical Power Distribution

  6. Table A1 Molar mass, gas constant, and critical-point properties

    E-Print Network [OSTI]

    Kostic, Milivoje M.

    of carbon dioxide, CO2 Table A­21 Ideal-gas properties of carbon monoxide, CO Table A­22 Ideal Properties of the atmosphere at high altitude Table A­17 Ideal-gas properties of air Table A­18 Ideal-point properties Molar mass, constant, Temperature, Pressure, Volume, Substance Formula M kg/kmol R kJ/kg·K* K MPa

  7. ITP Industrial Distributed Energy: Distributed Energy Program...

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

    ITP Industrial Distributed Energy: Distributed Energy Program Project Profile: Verizon Central Office Building ITP Industrial Distributed Energy: Distributed Energy Program Project...

  8. ABSTRACT & DISSERTATION FORMAT GUIDELINES

    E-Print Network [OSTI]

    Lu, Yi

    2 ABSTRACT & DISSERTATION FORMAT GUIDELINES The Knowledge Navigation Center (second floor these guidelines. The most up-to-date version of the Abstract and Dissertation Format Guidelines is available;2 Abstract Format Guidelines ABSTRACT Title of the Dissertation by by Student's Name Chair: Chair's name Text

  9. Hazards Data Distribution System (HDDS) Explorer Help Documentation

    E-Print Network [OSTI]

    Hazards Data Distribution System (HDDS) Explorer Help Documentation Version 1.1 March 2014 #12;Page: ii Document History Number Date and Sections Notes 1 August 2013 Original document 1.0 2 September information on Access to Events #12;Page: iii Table of contents Document History

  10. Distributed DBMS Introduction

    E-Print Network [OSTI]

    Chen, Yangjun

    Distributed DBMS Outline Introduction What is a distributed DBMS Problems Current state-of-affairs Background Distributed DBMS Architecture Distributed Database Design Semantic Data Control Distributed Query Processing Distributed Transaction Management Parallel Database Systems Distributed Object DBMS

  11. A Table of Areas Under Disease Progress Curves. 

    E-Print Network [OSTI]

    Johnson, Dennis A.; Wilcoxson, Roy D.

    1980-01-01T23:59:59.000Z

    [Blank Page in Original Bulletin] A TABLE OF AREAS UNDER DISEASE PROGRESS CURVES Technical Bullet in Texas Agricultural Experiment Station Texas A & M University System- [Blank Page in Original Bulletin] A TABLE OF AREAS UNDER D I S E A S E... Chillicothe-Vernon, TX 76384; and Professor Department of Plant Pathology University of Minnesota St. Paul, MN 55108 A T a b l e o f A r e a s Under D i s e a s e P r o g r e s s Curves 3 Denn i s A. J o h n s o n and Roy D . \\ W i l c o x s o...

  12. Table 9. U.S. Steam Coal Exports

    Gasoline and Diesel Fuel Update (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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910.9. Table 8.2.9.

  13. Fast camera studies at an electron cyclotron resonance table plasma generator

    E-Print Network [OSTI]

    Rácz, R; Hajdu, P; Pálinkás, J

    2015-01-01T23:59:59.000Z

    A simple table-size ECR plasma generator operates in the ATOMKI without axial magnetic trap and without any particle extraction tool. Radial plasma confinement is ensured by a NdFeB hexapole. The table-top ECR is a simplified version of the 14 GHz ATOMKI-ECRIS. Plasma diagnostics experiments are planned to be performed at this device before installing the measurement setting at the big ECRIS. Recently, the plasma generator has been operated in pulsed RF mode in order to investigate the time evolution of the ECR plasma in two different ways. (1) The visible light radiation emitted by the plasma was investigated by the frames of a fast camera images with 1 ms temporal resolution. Since the visible light photographs are in strong correlation with the two-dimensional spatial distribution of the cold electron components of the plasma it can be important to understand better the transient processes just after the breakdown and just after the glow. (2) The time-resolved ion current on a specially shaped electrode wa...

  14. The Periodic Table as a Part of the Periodic Table of Chemical Compounds

    E-Print Network [OSTI]

    Labushev, Mikhail M

    2011-01-01T23:59:59.000Z

    The numbers of natural chemical elements, minerals, inorganic and organic chemical compounds are determined by 1, 2, 3 and 4-combinations of a set 95 and are respectively equal to 95, 4,465, 138,415 and 3,183,545. To explain these relations it is suggested the concept of information coefficient of proportionality as mathematical generalization of the proportionality coefficient for any set of positive numbers. It is suggested a hypothesis that the unimodal distributions of the sets of information coefficients of proportionality for atomic weights of chemical elements of minerals and chemical compounds correspond to unimodal distributions of the above sets for combination of 2, 3 and 4 atomic weights of 95 natural chemical elements. The expected values of symmetrized distributions of information coefficients of proportionality sets for atomic weights of minerals and chemical compounds are proposed to be used to define chemical compounds, like atomic weights define chemical elements. Variational series of the e...

  15. Distributed analysis in ATLAS

    E-Print Network [OSTI]

    Dewhurst, Alastair; The ATLAS collaboration

    2015-01-01T23:59:59.000Z

    The ATLAS experiment accumulated more than 140 PB of data during the first run of the Large Hadron Collider (LHC) at CERN. The analysis of such an amount of data for the distributed physics community is a challenging task. The Distributed Analysis (DA) system of the ATLAS experiment is an established and stable component of the ATLAS distributed computing operations. About half a million user jobs are daily running on DA resources, submitted by more than 1500 ATLAS physicists. The reliability of the DA system during the first run of the LHC and the following shutdown period has been high thanks to the continuous automatic validation of the distributed analysis sites and the user support provided by a dedicated team of expert shifters. During the LHC shutdown, the ATLAS computing model has undergone several changes to improve the analysis workflows, including the re-design of the production system, a new analysis data format and event model, and the development of common reduction and analysis frameworks. We r...

  16. Coal distribution, January--June 1991

    SciTech Connect (OSTI)

    Not Available

    1991-10-21T23:59:59.000Z

    The Coal Distribution report provides information on coal production, distribution, and stocks in the United States to a wide audience including Congress, Federal and State agencies, the coal industry, and the general public. The data in this report are collected and published by the Energy Information Administration (EIA) to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275, Sections 5 and 13, as amended). This issue presents information for January through June 1991. Coal distribution data are shown (in Tables 1--34) by coal-producing Sate of origin, consumer use, method of transportation, and State of destination. All data in this report were collected by the EIA on Form EIA-6, Coal Distribution Report.'' A copy of the form and the instructions for filing appear in Appendix B. All data in this report for 1991 are preliminary. Data for previous years are final. 6 figs., 34 tabs.

  17. Distributed Game-Tree Search Using Transposition Table Driven Work Akihiro Kishimoto and Jonathan Schaeffer

    E-Print Network [OSTI]

    Schaeffer, Jonathan

    -time responses. Clearly faster hardware en- ables more computations to be performed in a fixed amount of time- cessors are ubiquitous and are the de facto research com- puting platforms used today. Single-agent domains (puzzles) and two-player games have been popular test-beds for experimenting with new ideas

  18. A Real-Time Distributed Hash Table Tao Qian, Frank Mueller

    E-Print Network [OSTI]

    Mueller, Frank

    data to a phasor data concentrator (PDC) via proprietary Internet backbones. The PDC monitors-of-art monitoring architecture uses one centralized PDC to monitor all PMUs. As the number of PMUs is increasing extremely fast nowadays, the centralized PDC will soon become a bottleneck [5]. A straight-forward solution

  19. University Housing and Residence Life Table of Contents

    E-Print Network [OSTI]

    1 University Housing and Residence Life Fall `07 #12;2 Table of Contents Assignments / Roommates 4 Employment 9 Banking 9 Move in dates/times 10 Key pick up 10 Campus Housing & Residence Life Offices 11 Welcome to University Housing at Rutgers, The State University of New Jersey! This book has been designed

  20. Technical Note/ Improved Water Table Dynamics in MODFLOW

    E-Print Network [OSTI]

    Barrash, Warren

    series of ground water simulation codes, developed by the U.S. Geological Survey, is possi- bly the most storage as well as the physical dimensions of the sat- urated region. The change in storage is modeled of the cell. While the change in storage occurs at the water table, the influence is applied to the entire

  1. Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    61.5 70.8 92.7 90.7 81.5 72.8 - 78.0 See footnotes at end of table. 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 146 Energy Information...

  2. Petroleum Products Table 31. Motor Gasoline Prices by Grade...

    Gasoline and Diesel Fuel Update (EIA)

    82.4 77.1 68.9 62.6 71.6 92.3 89.9 82.6 72.7 - 78.2 See footnotes at end of table. 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 56 Energy Information...

  3. Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    62.6 71.7 92.3 89.9 82.6 72.7 - 78.2 See footnotes at end of table. 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 146 Energy Information...

  4. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

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

    71.8 W 70.5 78.9 W 76.0 83.6 W 69.2 75.2 See footnotes at end of table. 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District and State 176 Energy Information...

  5. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

    Gasoline and Diesel Fuel Update (EIA)

    W 68.4 70.8 W W 78.6 W 85.7 81.8 W 69.3 73.8 See footnotes at end of table. 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District and State 176 Energy Information...

  6. EA-1909: South Table Wind Farm Project, Kimball County, Nebraska

    Broader source: Energy.gov [DOE]

    DOE’s Western Area Power Administration is preparing this EA to evaluate the environmental impacts of interconnecting the proposed South Table Wind Project, which would generate approximately 60 megawatts from about 40 turbines, to Western’s existing Archer-Sidney 115-kV Transmission Line in Kimball County, Nebraska.

  7. Table of Contents 2 Find a Job or Internship

    E-Print Network [OSTI]

    Hone, James

    F 2 0 1 1 A L L #12;Table of Contents 2 Find a Job or Internship 4 All Students and Alumni 10 All begin November 18th Deadline to accept full-time offers Summer Internship Search through OCR November 2 to accept internship offers Employer Information Sessions Employer Information Sessions are hosted on campus

  8. Tables des principaux minerais d'uranium et de thorium

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    233 Tables des principaux minerais d'uranium et de thorium Par B. SZILARD [Faculté des Sciences de minerais d'uranium et de thorium avec leurs données les plus importantes, telles que la com- position, la teneur en uranium et en thorium, la provenance et quelques indications générales. La liste ne prétend pas

  9. Using in Your Job Search Table of Contents

    E-Print Network [OSTI]

    Bordenstein, Seth

    Using in Your Job Search Table of Contents: 1. Glossary of Terms 2. Logging Into Your Account 3. Student Home Page 4. Profile Tab 5. Documents Tab 6. Jobs Tab ­ Searching for Jobs 7. Applying to Jobs 8 of Terms · Job Posting ­ Is a position posted for students/alumni that is not interviewing on-campus (There

  10. Table of Contents Part 1: Climate Graphs Activity

    E-Print Network [OSTI]

    . Quantity. How much precipitation falls? What is the general trend east to west in Texas concerningTable of Contents Part 1: Climate Graphs Activity Part 2: Texas Climate Handout Maps for transparencies: a. Texas Average Annual Temperature b. Texas Average Annual Precipitation c. Texas Climate

  11. Study of Internet autonomous system interconnectivity from BGP routing tables

    E-Print Network [OSTI]

    Catalunya, Universitat Politècnica de

    Study of Internet autonomous system interconnectivity from BGP routing tables Jose M. Barcelo ISPs (Internet Service Providers) and to interconnect enterprises to ISPs. ISPs usually are providers University of Baja California (UABC), Mexico. He is a PhD student at UPC, Spain, with a grant of the Mexican

  12. TABLE OF CONTENTS CALIFORNIA CODE OF REGULATIONS ADMINISTRATIVE REGULATIONS

    E-Print Network [OSTI]

    #12;#12;i TABLE OF CONTENTS CALIFORNIA CODE OF REGULATIONS ADMINISTRATIVE REGULATIONS Section 10............................................. Admin-7 Section 10-106 -- Locally Adopted Energy Standards Product U-Values, Solar Heat Gain Coefficient, and Air Leakage....... Admin-12 Section 10-112 -- Criteria

  13. Mann LED Elevator Ligh ng: ECI Savings Table Cost (billed)

    E-Print Network [OSTI]

    Lipson, Michal

    the elevators, deter mined an LED replace ment lamp for the ex is ng halogen lamps, cal culated a cost benefitMann LED Elevator Ligh ng: ECI Savings Table Utility Historical Energy Use (MMBtu) Est. FY 2012,000 2 Energy Conservation Initiative (ECI) Project Summary Mann LED Elevator Ligh ng, Facility 1027 Mann

  14. Migration Health MIDSA Report -December 2009 Table of Contents

    E-Print Network [OSTI]

    Abolmaesumi, Purang

    -Sectoral Approach . . . . . . . . . . . . . . . . . . . . . . . 17 5.5 PHC Reform and Provision of Health Service . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 5.10 Burden on Health Care System . . . . . . . . . . . . . . . . . . . 18 5.11 Condom#12;Migration Health MIDSA Report - December 2009 Table of Contents 1 Foreword 1 2 Acronyms 3 3

  15. 7 Predictive Risk Mapping of Water Table Depths in

    E-Print Network [OSTI]

    Camara, Gilberto

    , and so risks of water shortage appear. The preservation of these resources is important because73 7 Predictive Risk Mapping of Water Table Depths in a Brazilian Cerrado Area R. L. Manzione, M metabolize throughout the year, drawing on soil water reserves, and can withstand short-lived fires. contents

  16. OSU-TULSA UNIVERSITY POLICE TABLE OF CONTENTS

    E-Print Network [OSTI]

    Veiga, Pedro Manuel Barbosa

    PUBLIC SAFETY GUIDE OSU-TULSA UNIVERSITY POLICE 9/2013 R #12;TABLE OF CONTENTS 3 Letter from Procedures Statement Notification to the OSU-Tulsa Community about an Immediate Threat 6 Medical Emergencies health counselor Lost and Found 11 Crimes Reported by OSU-Tulsa University Police 12 Crimes Reported

  17. Table 1. HARVESTING MANAGEMENT STRATEGIES Strategy Name Use Typical location

    E-Print Network [OSTI]

    channels Partial cutting systems PARTIAL To minimize fan destabilization Fans with high destabilization To reduce the logging debris load For gullies with high debris flow potential FS197C RVA 2002/03 #12;Table 2, BUFFER Hb NOLOG Hb NOLOG M LOG/CLWD M BUFFER, LS/CTWD Mb BUFFER, PARTIAL Mb BUFFE, PARTIA, LS/CLWD L LOG

  18. Council Document 2003-11 TABLE OF CONTENTS

    E-Print Network [OSTI]

    Council Document 2003-11 #12;#12;TABLE OF CONTENTS Introduction The Columbia River Basin Fish and Wildlife Program 5 The 2000 Fish and Wildlife Program and the Mainstem Plan 5 Expectations for the elements conditions 11 Migration/passage conditions for anadromous fish 13 Resident fish/wildlife 13 Strategies

  19. 2010 Air Canada Elite Program Table of contents

    E-Print Network [OSTI]

    Flanagan, Randy

    2010 Air Canada Elite Program Table of contents 2010 & 2011 Qualifying Criteria 2010 Privileges Benefits 2010TopTier Comparison Chart 2010 & 2011 Qualifying Criteria How to Achieve Air Canada Top Tier Q u a l i f y i n g C r i t e r i a How to Achieve Air Canada Top Tier Status The qualifying period

  20. Section Enrollment Report (CENSUS) -Table of Contents Subject Description

    E-Print Network [OSTI]

    Ginzel, Matthew

    Engineering NUPH NUPH-Nuclear Pharmacy NUR NUR-Nursing NUTR NUTR-Nutrition Science OBHR OBHR-Orgnztnl Bhvr-Clinical Pharmacy CMCI CMCI-CIC Common Market CMPL CMPL-Comparative Literature CNIT CNIT-Computer & Info Tech COM #12;Section Enrollment Report (CENSUS) - Table of Contents Subject Description NUCL NUCL-Nuclear

  1. Section Enrollment Report (CENSUS) -Table of Contents Subject Description

    E-Print Network [OSTI]

    Ginzel, Matthew

    NUPH NUPH-Nuclear Pharmacy NUR NUR-Nursing NUTR NUTR-Nutrition Science OBHR OBHR-Orgnztnl Bhvr &Hum-Clinical Pharmacy CMCI CMCI-CIC Common Market CMPL CMPL-Comparative Literature CNIT CNIT-Computer & Info Tech COM Report (CENSUS) - Table of Contents Subject Description NS NS-Naval Science NUCL NUCL-Nuclear Engineering

  2. FRZ Section Enrollment Report (SER) -Table of Contents Subject Description

    E-Print Network [OSTI]

    Pittendrigh, Barry

    Science NUCL Nuclear Engineering NUPH Nuclear Pharmacy NUR Nursing OBHR Orgnztnl Bhvr & Humn Resources OLS Enrollment Report (SER) - Table of Contents Subject Description CLPH Clinical Pharmacy CMCI CIC Common Market Organiz Ldrshp And Supervision PES Physical Education Skills PHAD Pharmacy Administration #12;FRZ Section

  3. FRZ Section Enrollment Report (SER) -Table of Contents Subject Description

    E-Print Network [OSTI]

    Pittendrigh, Barry

    Engineering NUPH Nuclear Pharmacy NUR Nursing OBHR Orgnztnl Bhvr & Humn Resources OLS Organiz Ldrshp Enrollment Report (SER) - Table of Contents Subject Description CLPH Clinical Pharmacy CMCI CIC Common Market & Leadership MUS Music History & Theory NS Naval Science NRES Natural Res & Environ Science NUCL Nuclear

  4. FRZ Section Enrollment Report (SER) -Table of Contents Subject Description

    E-Print Network [OSTI]

    Pittendrigh, Barry

    Science NRES Natural Res & Environ Science NUCL Nuclear Engineering NUPH Nuclear Pharmacy NUR Nursing OBHR Clinical Pharmacy CMCI CIC Common Market CMPL Comparative Literature COM Communication CPB Comparative) - Table of Contents Subject Description PES Physical Education Skills PHAD Pharmacy Administration PHIL

  5. Chapter 13 Employee Health and Safety Table of Contents

    E-Print Network [OSTI]

    Sheridan, Jennifer

    Employee Health and Safety 13.01 Safety Policy and Accident Reporting Accident Analysis and PreventionChapter 13 Employee Health and Safety Table of Contents 13.01 Safety Policy and Accident Reporting.05 Abnormally Hazardous Tasks 1 #12;Chapter 13 Employee Health and Safety 13.01 Safety Policy and Accident

  6. Unobtrusive Tabletops: Linking Personal Devices with Regular Tables

    E-Print Network [OSTI]

    1 Unobtrusive Tabletops: Linking Personal Devices with Regular Tables Abstract In this paper we with spatially tracked touch-enabled personal devices. This retains the normal usage of tabletop surfaces, solves privacy issues, and allows for storage of media items on the personal devices. Moreover, user input can

  7. Collaborative Estimation of Gradient Direction by a Formation of AUVs

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    underwater vehicles). The present paper proposes a distributed solution in which a group of vehicles and unmanned air vehicles (AUVs and UAVs) [6, 7]. Cooperative formation control and motion co- ordination have-agent systems [1, 2], flocking [3], distributed sensor networks [4, 5], and autonomous sys- tems as underwater

  8. DISTRIBUTED DATABASES INTRODUCTION

    E-Print Network [OSTI]

    Liu, Chengfei

    D DISTRIBUTED DATABASES INTRODUCTION The development of network and data communication tech- nology distributed database management. Naturally, the decen- tralized approach reflects the distributed aspects in the definition of a distributed database exist. First, a distributed database is distributed

  9. Summary and comments on the month's production and injection................. Using the production table...................................................................................

    E-Print Network [OSTI]

    #12;Summary and comments on the month's production and injection................. Using the production table................................................................................... Monthly Oil and Gas Production........................................................................ Using

  10. Triggered star formation in the Magellanic Clouds

    E-Print Network [OSTI]

    B. G. Elmegreen; J. Palous; Kenji Bekki

    2006-01-01T23:59:59.000Z

    Abstract. We discuss how tidal interaction between the Large Magellanic Cloud (LMC), the Small Magellanic Cloud (SMC), and the Galaxy triggers galaxy-wide star formation in the Clouds for the last ? 0.2 Gyr based on our chemodynamical simulations on the Clouds. Our simulations demonstrate that the tidal interaction induces the formation of asymmetric spiral arms with high gas densities and consequently triggers star formation within the arms in the LMC. Star formation rate in the present LMC is significantly enhanced just above the eastern edge of the LMC’s stellar bar owing to the tidal interaction. The location of the enhanced star formation is very similar to the observed location of 30 Doradus, which suggests that the formation of 30 Doradus is closely associated with the last Magellanic collision about 0.2 Gyr ago. The tidal interaction can dramatically compress gas initially within the outer part of the SMC so that new stars can be formed from the gas to become intergalactic young stars in the inter-Cloud region (e.g., the Magellanic Bridge). The metallicity distribution function of the newly formed stars in the Magellanic Bridge has a peak of [Fe/H] ? ?0.8, which is significantly lower than the stellar metallicity of the SMC.

  11. Table top nanopatterning with extreme ultraviolet laser illumination M.G. Capeluto c

    E-Print Network [OSTI]

    Rocca, Jorge J.

    Table top nanopatterning with extreme ultraviolet laser illumination M.G. Capeluto c , P. Wachulak practical table-top nanopatterning tools based on extreme ultraviolet lasers for nanotechnology applications. Ó 2007 Elsevier B.V. All rights reserved. Keywords: EUV lasers; Table top photolithography

  12. IP Routing Table Compression Using TCAM and Distance-one Merge

    E-Print Network [OSTI]

    Bollapalli, Kalyana Chakravarthy

    2011-02-22T23:59:59.000Z

    of completely specified logic functions, we demonstrate that our technique can achieve about 25% reduction in the size of IP routing tables, while ensuring that our approach can handle routing table updates in real-time. The resulting routing table can be used... . . . . . . . . . . . . . . 28 D. Compression . . . . . . . . . . . . . . . . . . . . . . . 30 E. Updates . . . . . . . . . . . . . . . . . . . . . . . . . . 31 1. Insertions . . . . . . . . . . . . . . . . . . . . . 31 2. Withdrawal . . . . . . . . . . . . . . . . . . . . 34 F...

  13. Collaborative Estimation of Gradient Direction by a Formation of AUVs under Communication Constraints

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    of Autonomous Underwater Vehicles (AUVs). The present paper proposes a distributed solution in which a group], and autonomous systems as underwater and unmanned air ve- hicles (AUVs and UAVs) [6], [7]. Cooperative formation of vehicles uniformly distributed in a fixed circular formation, estimates the gradient direction

  14. Why Hierarchical Key Distribution is Appropriate for Multicast Networks

    E-Print Network [OSTI]

    Zheng, Yuliang

    Why Hierarchical Key Distribution is Appropriate for Multicast Networks Chandana Gamage, Jussipekka rationale for many key distribution schemes for multicast networks are based on heuristic arguments on e of multicast group formation and network growth to look at the selection of a key distribution scheme from

  15. Galaxy formation with radiative and chemical feedback

    E-Print Network [OSTI]

    Graziani, L; Schneider, R; Kawata, D; de Bennassuti, M; Maselli, A

    2015-01-01T23:59:59.000Z

    Here we introduce GAMESH, a novel pipeline which implements self-consistent radiative and chemical feedback in a computational model of galaxy formation. By combining the cosmological chemical-evolution model GAMETE with the radiative transfer code CRASH, GAMESH can post process realistic outputs of a N-body simulation describing the redshift evolution of the forming galaxy. After introducing the GAMESH implementation and its features, we apply the code to a low-resolution N-body simulation of the Milky Way formation and we investigate the combined effects of self-consistent radiative and chemical feedback. Many physical properties, which can be directly compared with observations in the Galaxy and its surrounding satellites, are predicted by the code along the merger-tree assembly. The resulting redshift evolution of the Local Group star formation rates, reionisation and metal enrichment along with the predicted Metallicity Distribution Function of halo stars are critically compared with observations. We dis...

  16. Key distributionKey distribution Key distribution, symmetric encryption

    E-Print Network [OSTI]

    Fisher, Michael

    COMP 522 Key distributionKey distribution COMP 522 Key distribution, symmetric encryption From in a secure way and must keep the key secure" · Important issue: how to distribute secret keys? COMP 522 Key distribution, manual delivery For two parties A and B: · A key could be created by A and delivered physically

  17. Constructive Dimension and Weak Truth-Table Degrees

    E-Print Network [OSTI]

    Doty, David

    dimension dimH(S) and constructive packing dimension dimP(S) is weak truth-table equivalent to a sequence R with dimH(R) dimH(S)/dimP(S) - , for arbitrary > 0. Furthermore, if dimP(S) > 0, then dimP(R) 1H(S) = dimP(S)) such that dimH(S) > 0, the wtt degree of S has constructive Hausdorff and packing dimension

  18. Dynamical Constraints on Disk Galaxy Formation

    E-Print Network [OSTI]

    Stacy McGaugh

    1999-09-27T23:59:59.000Z

    The rotation curves of disk galaxies exhibit a number of striking regularities. The amplitude of the rotation is correlated with luminosity (Tully-Fisher), the shape of the rotation curve is well predicted by the luminous mass distribution, and the magnitude of the mass discrepancy increases systematically with decreasing centripetal acceleration. These properties indicate a tight connection between light and mass, and impose strong constraints on theories of galaxy formation.

  19. Predictions from star formation in the multiverse

    SciTech Connect (OSTI)

    Bousso, Raphael; Leichenauer, Stefan [Center for Theoretical Physics, Department of Physics, University of California, Berkeley, California 94720-7300 (United States) and Lawrence Berkeley National Laboratory, Berkeley, California 94720-8162 (United States)

    2010-03-15T23:59:59.000Z

    We compute trivariate probability distributions in the landscape, scanning simultaneously over the cosmological constant, the primordial density contrast, and spatial curvature. We consider two different measures for regulating the divergences of eternal inflation, and three different models for observers. In one model, observers are assumed to arise in proportion to the entropy produced by stars; in the others, they arise at a fixed time (5 or 10x10{sup 9} years) after star formation. The star formation rate, which underlies all our observer models, depends sensitively on the three scanning parameters. We employ a recently developed model of star formation in the multiverse, a considerable refinement over previous treatments of the astrophysical and cosmological properties of different pocket universes. For each combination of observer model and measure, we display all single and bivariate probability distributions, both with the remaining parameter(s) held fixed and marginalized. Our results depend only weakly on the observer model but more strongly on the measure. Using the causal diamond measure, the observed parameter values (or bounds) lie within the central 2{sigma} of nearly all probability distributions we compute, and always within 3{sigma}. This success is encouraging and rather nontrivial, considering the large size and dimension of the parameter space. The causal patch measure gives similar results as long as curvature is negligible. If curvature dominates, the causal patch leads to a novel runaway: it prefers a negative value of the cosmological constant, with the smallest magnitude available in the landscape.

  20. Predictions from Star Formation in the Multiverse

    E-Print Network [OSTI]

    Raphael Bousso; Stefan Leichenauer

    2009-07-28T23:59:59.000Z

    We compute trivariate probability distributions in the landscape, scanning simultaneously over the cosmological constant, the primordial density contrast, and spatial curvature. We consider two different measures for regulating the divergences of eternal inflation, and three different models for observers. In one model, observers are assumed to arise in proportion to the entropy produced by stars; in the others, they arise at a fixed time (5 or 10 billion years) after star formation. The star formation rate, which underlies all our observer models, depends sensitively on the three scanning parameters. We employ a recently developed model of star formation in the multiverse, a considerable refinement over previous treatments of the astrophysical and cosmological properties of different pocket universes. For each combination of observer model and measure, we display all single and bivariate probability distributions, both with the remaining parameter(s) held fixed, and marginalized. Our results depend only weakly on the observer model but more strongly on the measure. Using the causal diamond measure, the observed parameter values (or bounds) lie within the central $2\\sigma$ of nearly all probability distributions we compute, and always within $3\\sigma$. This success is encouraging and rather nontrivial, considering the large size and dimension of the parameter space. The causal patch measure gives similar results as long as curvature is negligible. If curvature dominates, the causal patch leads to a novel runaway: it prefers a negative value of the cosmological constant, with the smallest magnitude available in the landscape.

  1. Introduction to Dynamic Distributed

    E-Print Network [OSTI]

    Roma "La Sapienza", Università di

    Introduction to Dynamic Distributed SystemsSystems #12;Outline Introduction Churn Building Applications in Dynamic Distributed Systems RegistersRegisters Eventual Leader election Connectivity in Dynamic Distributed Systems #12;Dynamic Distributed Systems: Context & Motivations Advent of Complex Distributed

  2. Calculation of external dose from distributed source

    SciTech Connect (OSTI)

    Kocher, D.C.

    1986-01-01T23:59:59.000Z

    This paper discusses a relatively simple calculational method, called the point kernel method (Fo68), for estimating external dose from distributed sources that emit photon or electron radiations. The principles of the point kernel method are emphasized, rather than the presentation of extensive sets of calculations or tables of numerical results. A few calculations are presented for simple source geometries as illustrations of the method, and references and descriptions are provided for other caluclations in the literature. This paper also describes exposure situations for which the point kernel method is not appropriate and other, more complex, methods must be used, but these methods are not discussed in any detail.

  3. Distributed Generation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField Campaign:INEA : Papers SubfoldersU.S. RefiningDistributed EnergyUntapped

  4. Return distributions and applications

    E-Print Network [OSTI]

    Kim, Young Do

    2007-01-01T23:59:59.000Z

    Figure I.10 DCC-Bivariate GARCH Model . . . . . .Time Varying parameter Model with GARCH-t margins . . . D.Table I.9 Estimation Results for Normal Copula with GARCH-t

  5. Petrographic characterization of Kentucky coals. Final report. Part IV. A petrographic and chemical model for the evolution of the Tradewater Formation coals in Western Kentucky

    SciTech Connect (OSTI)

    Graese, A.M.; Hower, J.C.; Ferm, J.C.

    1984-01-01T23:59:59.000Z

    A depositional model for the coals of the Tradewater Formation and associated rock units was constructed as a predictive device for the occurrence of economically important low sulfur coal. Twenty-one cores were examined and ninety-eight coal samples were analyzed for maceral, ash, and sulfur contents. These data were then analyzed to determine regional variation as well as vertical variation in single coal columns. Core data indicate that the majority of the Tradewater rocks consist of irregularly distributed, coarsening-upward, fine-grained detrital material which was deposited in shallow bodies of water. Minor fossiliferous shales and limestones suggest a marine influence. Less common coarse-grained, fining-upward sequences appear to be deposits of meandering channels. Like the detrital rocks, the coal seams are also irregularly distributed and exhibit variable petrographic and chemical properties reflecting changes in the Eh and pH of the coal swamp waters as well as detrital influx into the swamps. These swamps were relatively limited in extent and probably occupied the upper reaches of the tidal zone. The lack of significant stratigraphic and geographic trends in the regional data suggests that this mode of deposition was widespread and continued for a long period of time. 42 references, 19 figures, 9 tables.

  6. How many ways to seat 3 people at a round table? How many ways are there to seat three people at a round table? Sounds like a perfectly

    E-Print Network [OSTI]

    Schmuland, Byron

    How many ways to seat 3 people at a round table? A B C ? = C A B How many ways are there to seat three people at a round table? Sounds like a perfectly unambiguous question, but the answer is: "it: There are 3! = 6 different ways of placing these three people in three distinct chairs. However, it we decide

  7. Comparison of particle-tracking and lumped-parameter age-distribution models for evaluating vulnerability of production wells

    E-Print Network [OSTI]

    Groundwaterage . Contamination . Numerical modeling . Water supply . USA Introduction Drinking-water productionComparison of particle-tracking and lumped-parameter age-distribution models for evaluating-source contaminant inputs at the water table, some representation of the distribution of groundwater ages in the well

  8. Observing Massive Galaxy Formation

    E-Print Network [OSTI]

    Christopher J. Conselice

    2002-12-20T23:59:59.000Z

    A major goal of contemporary astrophysics is understanding the origin of the most massive galaxies in the universe, particularly nearby ellipticals and spirals. Theoretical models of galaxy formation have existed for many decades, although low and high redshift observations are only beginning to put constraints on different ideas. We briefly describe these observations and how they are revealing the methods by which galaxies form by contrasting and comparing fiducial rapid collapse and hierarchical formation model predictions. The available data show that cluster ellipticals must have rapidly formed at z > 2, and that up to 50% of all massive galaxies at z ~ 2.5 are involved in major mergers. While the former is consistent with the monolithic collapse picture, we argue that hierarchal formation is the only model that can reproduce all the available observations.

  9. Query-based debugging of distributed systems

    E-Print Network [OSTI]

    Braud, Ryan Evans

    2010-01-01T23:59:59.000Z

    used as the table’s primary key. In general, we have oneid column used as its primary key. The time column records a

  10. Isolating Triggered Star Formation

    SciTech Connect (OSTI)

    Barton, Elizabeth J.; Arnold, Jacob A.; /UC, Irvine; Zentner, Andrew R.; /KICP, Chicago /Chicago U., EFI; Bullock, James S.; /UC, Irvine; Wechsler, Risa H.; /KIPAC, Menlo

    2007-09-12T23:59:59.000Z

    Galaxy pairs provide a potentially powerful means of studying triggered star formation from galaxy interactions. We use a large cosmological N-body simulation coupled with a well-tested semi-analytic substructure model to demonstrate that the majority of galaxies in close pairs reside within cluster or group-size halos and therefore represent a biased population, poorly suited for direct comparison to 'field' galaxies. Thus, the frequent observation that some types of galaxies in pairs have redder colors than 'field' galaxies is primarily a selection effect. We use our simulations to devise a means to select galaxy pairs that are isolated in their dark matter halos with respect to other massive subhalos (N= 2 halos) and to select a control sample of isolated galaxies (N= 1 halos) for comparison. We then apply these selection criteria to a volume-limited subset of the 2dF Galaxy Redshift Survey with M{sub B,j} {le} -19 and obtain the first clean measure of the typical fraction of galaxies affected by triggered star formation and the average elevation in the star formation rate. We find that 24% (30.5 %) of these L* and sub-L* galaxies in isolated 50 (30) h{sup -1} kpc pairs exhibit star formation that is boosted by a factor of {approx}> 5 above their average past value, while only 10% of isolated galaxies in the control sample show this level of enhancement. Thus, 14% (20 %) of the galaxies in these close pairs show clear triggered star formation. Our orbit models suggest that 12% (16%) of 50 (30) h{sup -1} kpc close pairs that are isolated according to our definition have had a close ({le} 30 h{sup -1} kpc) pass within the last Gyr. Thus, the data are broadly consistent with a scenario in which most or all close passes of isolated pairs result in triggered star formation. The isolation criteria we develop provide a means to constrain star formation and feedback prescriptions in hydrodynamic simulations and a very general method of understanding the importance of triggered star formation in a cosmological context.

  11. JPEG File Interchange Format

    E-Print Network [OSTI]

    Hamilton, Eric

    2004-03-30T23:59:59.000Z

    interchange format compressed image representation • PC or Mac or Unix workstation compatible • Standard color space: one or three components. For three components, YCbCr (CCIR 601-256 levels) • APP0 marker used to specify Units, X pixel density, Y pixel... by the Macintosh but not by PCs or workstations. JPEG File Interchange Format, Version 1.02 2 Standard color space The color space to be used is YCbCr as defined by CCIR 601 (256 levels). The RGB components calculated by linear conversion from YCbCr shall...

  12. Power distribution engineering: Fundamentals and applications

    SciTech Connect (OSTI)

    Burke, J.J.

    1994-01-01T23:59:59.000Z

    Covering virtually all areas of distribution engineering, this thoroughly up-to-date reference examines the unique behavior of utilities and provides the practical knowledge necessary to solve real-world distribution problems. Simplifying seemingly difficult concepts and calculations, Power Distribution Engineering addresses topics typically associated with power quality such as sags, swells, harmonics, electromagnetic fields, and stray voltage; describes different types of system designs and grounding as well as values for voltage, line lengths, and load and fault levels; details the loading, construction, and rating of various transformers; presents methods to maximize the effectiveness of capacitor placement; explains overcurrent and overvoltage protection of distribution systems; evaluates utilities using economic techniques that incorporate ideas such as present worth, carrying charge, cost of losses, operating costs, and customer satisfaction. Furnishing over 425 helpful equations, tables, drawings, and photographs, Power Distribution Engineering is an invaluable resource for electrical and electronics, utility distribution, power systems, control, protection, and relaying engineers, as well as graduate students in these disciplines.

  13. La Thuile 2014: Theoretical premises to neutrino round table

    E-Print Network [OSTI]

    Francesco Vissani

    2014-05-25T23:59:59.000Z

    This talk, dedicated to the memory of G. Giacomelli, introduced the round table on neutrinos held in February 2014. The topics selected for the discussion are: 1) the neutrinoless double beta decay rate (interpretation in terms of light neutrinos, nuclear uncertainties); 2) the physics in the gigantic water Cherenkov detectors (proton decay, atmospheric neutrinos); 3) the study of neutrino oscillations (mass hierarchy and CP violation; other neutrino states); 4) the neutrino astronomy at low and high energies (solar, supernova, cosmic neutrinos). The importance of an active interplay between theory and experiment is highlighted.

  14. FY 2014 Budget Request Statistical Table | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed off Energy.gov. Are you sure you want toworldPowerHome |CookingFAQs FAQsStatistical Table FY 2014

  15. FY 2014 Budget Request Summary Table | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed off Energy.gov. Are you sure you want toworldPowerHome |CookingFAQs FAQsStatistical Table FY

  16. Table 10. Natural Gas Net Imports, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConference |6:Welcome toU.S.Major U.S.

  17. Table 10. Natural Gas Net Imports, Projected vs. Actual Projected

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConference |6:Welcome toU.S.Major

  18. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConference |6:Welcome

  19. Table 10. Supply and disposition of electricity, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConference |6:WelcomeArkansas"

  20. Table 12. Total Coal Consumption, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConferenceInstalled Nameplate

  1. Table 12. Total Coal Consumption, Projected vs. Actual Projected

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConferenceInstalled NameplateTotal Coal

  2. Table 13. Coal Production, Projected vs. Actual Projected

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConferenceInstalled: Associated-dissolved:

  3. Table 14a. Average Electricity Prices, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConferenceInstalled:

  4. Table 14a. Average Electricity Prices, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConferenceInstalled:a. Average Electricity

  5. Table 14b. Average Electricity Prices, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConferenceInstalled:a. Average Electricityb.

  6. Table 14b. Average Electricity Prices, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConferenceInstalled:a. Average

  7. Table 15. Total Electricity Sales, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConferenceInstalled:a.

  8. Table 15. Total Electricity Sales, Projected vs. Actual Projected

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConferenceInstalled:a.Total Electricity

  9. Table 16. Total Energy Consumption, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConferenceInstalled:a.TotalTotal Energy

  10. Table 16. Total Energy Consumption, Projected vs. Actual Projected

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConferenceInstalled:a.TotalTotal EnergyTotal

  11. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:1 Table 7 Created

  12. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:1 Table 7

  13. Table 8. Total Natural Gas Consumption, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:1 Table 7:

  14. Table 8. Total Natural Gas Consumption, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:1 Table 7:Total

  15. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict of Columbia"Maryland" "TechnologyDakota"Virginia"1 Table 16.

  16. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict of Columbia"Maryland" "TechnologyDakota"Virginia"1 Table

  17. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API Gravity Period: MonthlyDistrict of Columbia"Maryland" "TechnologyDakota"Virginia"1 TableIllinois"

  18. Table B10. Employment Size Category, Number of Buildings, 1999

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWestQuantity of2". Summary Table:0.

  19. How to delete a table? | OpenEI Community

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel Jump to:Pennsylvania:County, Wyoming: EnergyCareview|delete a table?

  20. Table 11. U.S. Metallurgical Coal Exports

    Gasoline and Diesel Fuel Update (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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910. Average Price1.

  1. Table 13. U.S. Coal Exports by Customs District

    Gasoline and Diesel Fuel Update (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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910. Average3. U.S.

  2. Table 14. Steam Coal Exports by Customs District

    Gasoline and Diesel Fuel Update (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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910. Average3.

  3. Table 15. Metallurgical Coal Exports by Customs District

    Gasoline and Diesel Fuel Update (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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910. Average3.5.

  4. Table 17. Average Price of U.S. Coke Exports

    Gasoline and Diesel Fuel Update (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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910. Average3.5.6.7.

  5. Table 19. Average Price of U.S. Coal Imports

    Gasoline and Diesel Fuel Update (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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910.9. Average Price

  6. Table 22. Average Price of U.S. Coke Imports

    Gasoline and Diesel Fuel Update (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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910.9. Average1.2.

  7. Table 8. Average Price of U.S. Coal Exports

    Gasoline and Diesel Fuel Update (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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477 133,5910.9.

  8. Table 2. Percent of Households with Vehicles, Selected Survey Years

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan FebDecadeDecade21752 2,616 January 1996 January1996Percent

  9. The recursive structure of the distribution of primes

    E-Print Network [OSTI]

    Carolin Zöbelein

    2014-11-07T23:59:59.000Z

    In this work I look at the distribution of primes by calculation of an infinite number of intersections. For this I use the set of all numbers which are not elements of a certain times table in each case. I am able to show that it exists a recursive relationship between primes of different ranges and so to describe some inner structure of this special set of numbers.

  10. The Value of Distributed Solar Electric Generation to San Antonio

    SciTech Connect (OSTI)

    Jones, Nic [Solar San Antonio, TX (United States); Norris, Ben [Clean Power Research, Napa, CA (United States); Meyer, Lisa [City of San Antonio, TX (United States)

    2013-02-14T23:59:59.000Z

    This report presents an analysis of value provided by grid-connected, distributed PV in San Antonio from a utility perspective. The study quantified six value components, summarized in Table ES- 1. These components represent the benefits that accrue to the utility, CPS Energy, in accepting solar onto the grid. This analysis does not treat the compensation of value, policy objectives, or cost-effectiveness from the retail consumer perspective.

  11. Hair follicle Formation of

    E-Print Network [OSTI]

    Chuong, Cheng-Ming

    Hair follicle Formation of new follicles Bud Healed skin Hair bulge Open wound Epidermis a b Dermis 1950s and help to explain the controversy. What is the origin of the cells that make up these new hair follicles? Are they derived from existing hair follicles located at the wound edge

  12. Unayzah Formation: a new Permian-Carboniferous unit in Saudi Arabia

    SciTech Connect (OSTI)

    Al-Laboun, A.A.

    1987-01-01T23:59:59.000Z

    The sandstones, shales, and thin beds of argillaceous limestone previously included as the basal part of the Permian Khuff Formation were described as the Unayzah Formation by al-Laboun in 1982 and 1986. The type locality (stratotype.) of this formation is in the town of Unayzah, and a reference section was established in the Qusayba area, al-Qasim district, Saudi Arabia. Fossil flora collected from outcrops and palynomorphs obtained from boreholes support a Late Carboniferous-Early Permian age for these strata. The Unayzah Formation is conformably overlain by the massive carbonates of the Khuff Formation, whereas its basal contact is marked by a regional angular unconformity with various older units. The Unayzah Formation is widespread in the Greater Arabian basin. The formation represents cyclic transgressive and regressive deposits preceding the Permian regional marine transgression, during which the massive carbonates of the Khuff Formation were deposited. This Permian transgression marked a major change in the Sedimentation and evolution of the Greater Arabian basin. The porous sandstones of the Unayzah Formation are important exploration targets because several fields in the eastern and southeastern parts of the Greater Arabian basin produce hydrocarbons from the Unayzah. 11 figures, 1 table.

  13. Testing Disk Instability Models for Giant Planet Formation

    E-Print Network [OSTI]

    Alan P. Boss

    2007-04-09T23:59:59.000Z

    Disk instability is an attractive yet controversial means for the rapid formation of giant planets in our solar system and elsewhere. Recent concerns regarding the first adiabatic exponent of molecular hydrogen gas are addressed and shown not to lead to spurious clump formation in the author's disk instability models. A number of disk instability models have been calculated in order to further test the robustness of the mechanism, exploring the effects of changing the pressure equation of state, the vertical temperature profile, and other parameters affecting the temperature distribution. Possible reasons for differences in results obtained by other workers are discussed. Disk instability remains as a plausible formation mechanism for giant planets.

  14. Distributed DBMS I Introduction

    E-Print Network [OSTI]

    Chen, Yangjun

    Distributed DBMS Outline I Introduction I Background I Distributed DBMS Architecture I Distributed Data server approach Parallel architectures Parallel DBMS techniques Parallel execution models Parallel Database Systems Distributed Object DBMS Database Interoperability Concluding Remarks #12

  15. Distributed Theorem Proving for Distributed Hybrid Systems

    E-Print Network [OSTI]

    Platzer, André

    system with a varying number of arbitrarily many cars. 1 Introduction Hybrid systems with joint discrete a multi-agent system, e.g., distributed car control systems. Such systems form distributed hybrid systemsDistributed Theorem Proving for Distributed Hybrid Systems David W. Renshaw, Sarah M. Loos

  16. Table 30. Landed Costs of Imported Crude Oil for Selected Crude...

    Gasoline and Diesel Fuel Update (EIA)

    Energy Information AdministrationPetroleum Marketing Annual 1998 53 Table 30. Landed Costs of Imported Crude Oil for Selected Crude Streams (Dollars per Barrel) - Continued Year...

  17. Table 30. Landed Costs of Imported Crude Oil for Selected Crude...

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

    Energy Information AdministrationPetroleum Marketing Annual 1999 53 Table 30. Landed Costs of Imported Crude Oil for Selected Crude Streams (Dollars per Barrel) - Continued Year...

  18. Table 30. Landed Costs of Imported Crude Oil for Selected Crude...

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

    Energy Information Administration Petroleum Marketing Annual 1995 53 Table 30. Landed Costs of Imported Crude Oil for Selected Crude Streams (Dollars per Barrel) - Continued Year...

  19. Table 7. U.S. Refiner Motor Gasoline Volumes by Grade and Sales...

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

    Information Administration Petroleum Marketing Annual 1995 Table 7. U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type (Million Gallons per Day) - Continued Year...

  20. Table A1. Refiner/Reseller Motor Gasoline Prices by Grade, PAD...

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

    AdministrationPetroleum Marketing Annual 1999 401 Table A1. RefinerReseller Motor Gasoline Prices by Grade, PAD District and State, 1984-Present (Cents per Gallon...

  1. Table A1. Refiner/Reseller Motor Gasoline Prices by Grade, PAD...

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

    Information Administration Petroleum Marketing Annual 1995 Table A1. RefinerReseller Motor Gasoline Prices by Grade, PAD District and State, 1984-Present (Cents per Gallon...

  2. Table 6. U.S. Refiner Motor Gasoline Prices by Grade and Sales...

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

    Energy Information AdministrationPetroleum Marketing Annual 1999 Table 6. U.S. Refiner Motor Gasoline Prices by Grade and Sales Type (Cents per Gallon Excluding Taxes) - Continued...

  3. Table 10. U.S. Refiner Oxygenated Motor Gasoline Prices by...

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

    AdministrationPetroleum Marketing Annual 1999 Table 10. U.S. Refiner Oxygenated Motor Gasoline Prices by Grade and Sales Type (Cents per Gallon Excluding Taxes) Year Month...

  4. Table 6. U.S. Refiner Motor Gasoline Prices by Grade and Sales...

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

    Energy Information AdministrationPetroleum Marketing Annual 1998 Table 6. U.S. Refiner Motor Gasoline Prices by Grade and Sales Type (Cents per Gallon Excluding Taxes) - Continued...

  5. Table 7. U.S. Refiner Motor Gasoline Volumes by Grade and Sales...

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

    Energy Information AdministrationPetroleum Marketing Annual 1998 Table 7. U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type (Million Gallons per Day) - Continued Year...

  6. Table 6. U.S. Refiner Motor Gasoline Prices by Grade and Sales...

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

    Information Administration Petroleum Marketing Annual 1995 Table 6. U.S. Refiner Motor Gasoline Prices by Grade and Sales Type (Cents per Gallon Excluding Taxes) - Continued...

  7. CENTER FOR RADIOLOGICAL RESEARCH ANNUAL REPORT 2004 RARAF -Table of Contents

    E-Print Network [OSTI]

    RADIOLOGICAL RESEARCH ACCELERATOR FACILITY The Radiological Research Accelerator Facility AN NIHCENTER FOR RADIOLOGICAL RESEARCH · ANNUAL REPORT 2004 RARAF - Table of Contents RARAF Staff ...................................................................................................................................................67 Development of Facilities

  8. Rituals of Charity and Abundance: Sicilian St. Joseph's Tables and Feeding the Poor in Los Angeles

    E-Print Network [OSTI]

    Del Giudice, Luisa

    2010-01-01T23:59:59.000Z

    of the spectrum were more modest tables meant primarily forliving” (IV.13.f). In some modest way, I see my own research

  9. Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District...

    Gasoline and Diesel Fuel Update (EIA)

    Energy Information AdministrationPetroleum Marketing Annual 1999 191 Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District, and Selected States (Cents per Gallon...

  10. Table 41. No. 2 Diesel Fuel Prices by Sulfur Content, Sales...

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

    200 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 41. No. 2 Diesel Fuel Prices by Sulfur Content, Sales Type, and PAD District (Cents per Gallon...

  11. Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District...

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

    Energy Information AdministrationPetroleum Marketing Annual 1998 191 Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District, and Selected States (Cents per Gallon...

  12. Table 41. No. 2 Diesel Fuel Prices by Sulfur Content, Sales...

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

    200 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 41. No. 2 Diesel Fuel Prices by Sulfur Content, Sales Type, and PAD District (Cents per Gallon...

  13. Table A2. Refiner/Reseller Prices of Aviation Fuels, Propane...

    Gasoline and Diesel Fuel Update (EIA)

    Marketing Annual 1999 421 Table A2. RefinerReseller Prices of Aviation Fuels, Propane, and Kerosene, by PAD District, 1983-Present (Cents per Gallon Excluding Taxes) -...

  14. Table A2. Refiner/Reseller Prices of Aviation Fuels, Propane...

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

    Marketing Annual 1995 467 Table A2. RefinerReseller Prices of Aviation Fuels, Propane, and Kerosene, by PAD District, 1983-Present (Cents per Gallon Excluding Taxes) -...

  15. Table of Contents Summary of Your iSupplier Profile...........................................................................................................................2

    E-Print Network [OSTI]

    Table of Contents Summary of Your iSupplier Profile.............................................................................................................2 Navigating to Your Profile.........................................................................................................................................3 Company Information (a.k.a. Profile Management

  16. Table 42. Residual Fuel Oil Prices by PAD District and State

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

    Information AdministrationPetroleum Marketing Annual 1999 203 Table 42. Residual Fuel Oil Prices by PAD District and State (Cents per Gallon Excluding Taxes) - Continued...

  17. Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil...

    Gasoline and Diesel Fuel Update (EIA)

    Petroleum Marketing Annual 1998 295 Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil Volumes by PAD District and State (Thousand Gallons per Day) - Continued...

  18. Table 42. Residual Fuel Oil Prices by PAD District and State

    Gasoline and Diesel Fuel Update (EIA)

    Information AdministrationPetroleum Marketing Annual 1998 203 Table 42. Residual Fuel Oil Prices by PAD District and State (Cents per Gallon Excluding Taxes) - Continued...

  19. Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil...

    Gasoline and Diesel Fuel Update (EIA)

    Petroleum Marketing Annual 1995 337 Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil Volumes by PAD District and State (Thousand Gallons per Day) - Continued...

  20. Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil...

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

    Petroleum Marketing Annual 1999 295 Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil Volumes by PAD District and State (Thousand Gallons per Day) - Continued...

  1. Table A3. Refiner/Reseller Prices of Distillate and Residual...

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

    Marketing Annual 1999 441 Table A3. RefinerReseller Prices of Distillate and Residual Fuel Oils, by PAD District, 1983-Present (Cents per Gallon Excluding Taxes) - Continued...

  2. Table 42. Residual Fuel Oil Prices by PAD District and State

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration Petroleum Marketing Annual 1995 245 Table 42. Residual Fuel Oil Prices by PAD District and State (Cents per Gallon Excluding Taxes) - Continued...

  3. EXHIBIT A: CRADA, WFO, PUA and NPUA Comparison Table, with suggested...

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

    EXHIBIT A: CRADA, WFO, PUA and NPUA Comparison Table, with suggested changes On cost recovery basis, the CRADA, WFO, PUA and NPUA agreements can be distinguished as follows:...

  4. Table 12. U.S. Refiner Reformulated Motor Gasoline Prices by...

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

    Administration Petroleum Marketing Annual 1995 Table 12. U.S. Refiner Reformulated Motor Gasoline Prices by Grade and Sales Type (Cents per Gallon Excluding Taxes) - Continued...

  5. Table 10. U.S. Refiner Oxygenated Motor Gasoline Prices by...

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

    Administration Petroleum Marketing Annual 1995 Table 10. U.S. Refiner Oxygenated Motor Gasoline Prices by Grade and Sales Type (Cents per Gallon Excluding Taxes) - Continued...

  6. Table 11. U.S. Refiner Oxygenated Motor Gasoline Volumes by...

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

    Administration Petroleum Marketing Annual 1995 Table 11. U.S. Refiner Oxygenated Motor Gasoline Volumes by Grade and Sales Type (Million Gallons per Day) - Continued Year...

  7. Geochemistry of formation waters from the Lower Silurian Clinton Formation (Albion Sandstone), eastern Ohio

    SciTech Connect (OSTI)

    Sanders, L.L. (Illinois Univ., Chicago (United States))

    1991-10-01T23:59:59.000Z

    Waters of the petroleum-bearing Clinton formation (Albion Sandstone) of eastern Ohio are highly concentrated brines with average total dissolved solids (TDS) of 250,000 ppm. Sodium, calcium, and chloride account for 97% of the TDS. Distribution of divalent metal chlorides (MCl{sub 2}) allows inference of an up-dip paleoflow direction, although present-day flow is probably down-dip paleoflow direction, although present-day flow is probably down-dip. Solute distribution may have been emplaced during early basin development; it thus provides a snapshot of paleoflow. Formation structure alone can not explain MCl{sub 2} trends; they probably also are controlled by regional variation in salt thickness. Major constituent data do not indicate that membrane filtration affected the waters. High bromide content (mean = 1,860 ppm) of the water indicates that they originated from evaporating seawater. They probably are related genetically to the Salina evaporite group. Calculations show that several subsequent diagenetic reactions can account for the observed major ion composition. Recrystallization of aragonite and dolomitization of calcite probably occurred as the waters moved through the big Lime and/or the Packer Shell carbonates. Cation exchange and chlorite formation probably altered water composition during interaction with shales of the Cabot Head formation and within the Clinton. Minor constituents of the waters appear to be controlled by reactions with clays.

  8. Star Formation Histories in the Local Group

    E-Print Network [OSTI]

    Thomas M. Brown

    2004-07-09T23:59:59.000Z

    Deep color magnitude diagrams extending to the main sequence provide the most direct measure of the detailed star formation history in a stellar population. With large investments of observing time, HST can obtain such data for populations out to 1 Mpc, but its field of view is extremely small in comparison to the size of Local Group galaxies. This limitation severely constrains our understanding of galaxy formation. For example, the largest galaxy in the Local Group, Andromeda, offers an ideal laboratory for studying the formation of large spiral galaxies, but the galaxy shows substructure on a variety of scales, presumably due to its violent merger history. Within its remaining lifetime, HST can only sample a few sight-lines through this complex galaxy. In contrast, a wide field imager could provide a map of Andromeda's halo, outer disk, and tidal streams, revealing the spatially-dependent star formation history in each structure. The same data would enable many secondary studies, such as the age variation in Andromeda's globular cluster system, gigantic samples of variable stars, and microlensing tracers of the galaxy's dark matter distribution.

  9. Asymptotic distribution of inequalityrestricted canonical correlation with application to tests for

    E-Print Network [OSTI]

    Kuriki, Satoshi

    Asymptotic distribution of inequality­restricted canonical correlation with application to tests Running Head: Inequality­restricted canonical correlation Address for correspondence: Satoshi Kuriki­way ordered contingency tables based on these models are devel­ oped in a general framework of inequality­restricted

  10. Asymptotic distribution of inequality-restricted canonical correlation with application to tests for

    E-Print Network [OSTI]

    Kuriki, Satoshi

    Asymptotic distribution of inequality-restricted canonical correlation with application to tests Running Head: Inequality-restricted canonical correlation Address for correspondence: Satoshi Kuriki-way ordered contingency tables based on these models are devel- oped in a general framework of inequality-restricted

  11. IUPAC Periodic Table of Isotopes for the Educational Community

    SciTech Connect (OSTI)

    Holden N. E.; Holden,N.E.; Coplen,T.B.

    2012-07-15T23:59:59.000Z

    John Dalton first proposed the concept of atomic weights of the elements in the first decade of the nineteenth century. These atomic weights of the chemical elements were thought of as constants of nature, similar to the speed of light. Dmitri Mendeleev arranged the atomic weights of the elements in ascending order of value and used the systematic variation of their chemical properties to produce his Periodic Table of the Elements in 1869. Measurement of atomic weight values became an important chemical activity for a century and a half. Theodore Richards received a Noble Prize for his work in this area. In 1913, Fredrick Soddy found a species of radium, which had an atomic weight value of 228, compared to the familiar radium gas value of 226. Soddy coined the term 'isotope' (Greek for 'in the same place') to account for this second atomic weight value in the radium position of the Periodic Table. Both of these isotopes of radium are radioactive. Radioactive isotopes are energetically unstable and will decay (disintegrate) over time. The time it takes for one half of a sample of a given radioactive isotope to decay is the half-life of that isotope. In addition to having different atomic weight values, radium-226 and radium-228 also have different half-life values. Around the same time as Soddy's work, J.J. Thomson (discoverer of the electron) identified two stable (non-radioactive) isotopes of the same element, neon. Over the next 40 years, the majority of the known chemical elements were found to have two or more stable (or long-lived radioactive isotopes that contribute significantly to the determination of the atomic weights of the elements).

  12. Chemical Distribution and Bonding of Lithium in Intercalated Graphite: Identification with Optimized Electron Energy Loss Spectroscopy

    SciTech Connect (OSTI)

    Wang, Feng; Graetz, Jason; Moreno, M. Sergio; Ma, Chao; Wu, Lijun; Volkov, Vyacheslav; Zhu, Yimei

    2011-01-01T23:59:59.000Z

    Direct mapping of the lithium spatial distribution and the chemical state provides critical information on structure-correlated lithium transport in electrode materials for lithium batteries. Nevertheless, probing lithium, the lightest solid element in the periodic table, poses an extreme challenge with traditional X-ray or electron scattering techniques due to its weak scattering power and vulnerability to radiation damage. Here, we report nanoscale maps of the lithium spatial distribution in electrochemically lithiated graphite using electron energy loss spectroscopy in the transmission electron microscope under optimized experimental conditions. The electronic structure of the discharged graphite was obtained from the near-edge fine structure of the Li and C K-edges and ab initio calculations. A 2.7 eV chemical shift of the Li K-edge, along with changes in the density of states, reveals the ionic nature of the intercalated lithium with significant charge transfer to the graphene sheets. Direct mapping of lithium in graphite revealed nanoscale inhomogeneities (nonstoichiometric regions), which are correlated with local phase separation and structural disorder (i.e., lattice distortion and dislocations) as observed by high-resolution transmission electron microscopy. The surface solid?electrolyte interphase (SEI) layer was also imaged and determined to have a thickness of 10?50 nm, covering both edge and basal planes with LiF as its primary inorganic component. The Li K-edge spectroscopy and mapping, combined with electron microscopy-based structural analysis provide a comprehensive view of the structure-correlated lithium intercalation in graphite and of the formation of the SEI layer.

  13. Chemical Distribution and Bonding of Lithium in Intercalated Graphite: Identification with Optimized Electron Energy Loss Spectroscopy

    SciTech Connect (OSTI)

    Zhu, Y.; Wang, F.; Graetz, J.; Moreno, M.S.; Ma, C.; Wu, L.; Volkov, V.

    2011-02-01T23:59:59.000Z

    Direct mapping of the lithium spatial distribution and the chemical state provides critical information on structure-correlated lithium transport in electrode materials for lithium batteries. Nevertheless, probing lithium, the lightest solid element in the periodic table, poses an extreme challenge with traditional X-ray or electron scattering techniques due to its weak scattering power and vulnerability to radiation damage. Here, we report nanoscale maps of the lithium spatial distribution in electrochemically lithiated graphite using electron energy loss spectroscopy in the transmission electron microscope under optimized experimental conditions. The electronic structure of the discharged graphite was obtained from the near-edge fine structure of the Li and C K-edges and ab initio calculations. A 2.7 eV chemical shift of the Li K-edge, along with changes in the density of states, reveals the ionic nature of the intercalated lithium with significant charge transfer to the graphene sheets. Direct mapping of lithium in graphite revealed nanoscale inhomogeneities (nonstoichiometric regions), which are correlated with local phase separation and structural disorder (i.e., lattice distortion and dislocations) as observed by high-resolution transmission electron microscopy. The surface solid-electrolyte interphase (SEI) layer was also imaged and determined to have a thickness of 10-50 nm, covering both edge and basal planes with LiF as its primary inorganic component. The Li K-edge spectroscopy and mapping, combined with electron microscopy-based structural analysis provide a comprehensive view of the structure-correlated lithium intercalation in graphite and of the formation of the SEI layer.

  14. Planning and Search Exam format

    E-Print Network [OSTI]

    Alechina, Natasha

    is the frame problem. Revision 5 #12;Exam topics: planning Classical planning. How the problem definitionPlanning and Search Revision Revision 1 #12;Outline Exam format Exam topics How to revise Revision 2 #12;Exam format 4 questions out of 6 same format as 2010-2011 and 2011-2012 exams (on G52PAS

  15. Overview of Lead Scale Formation and Solubility J. Barry Maynard

    E-Print Network [OSTI]

    Maynard, J. Barry

    Overview of Lead Scale Formation and Solubility J. Barry Maynard University of Cincinnati 2008 The response of lead source materials in premise and distribution systems to changes in water treatment. These determinations are particularly critical for lead compounds, of which there have been many reported. Knowledge

  16. Table of Contents Semiannual Report to Congress April 1, 2001--September 30, 2001

    E-Print Network [OSTI]

    Christian, Eric

    Table of Contents Semiannual Report to Congress April 1, 2001--September 30, 2001 i Page Table.............................................20 5. Audit Reports for which No Management Decision was Made by September 30, 2001.........................................................................................................31 #12;Semiannual Report to Congress April 1, 2001--September 30, 2001 ii Photographs: Page 16, Space

  17. Table 1. Annual estimates, uncertainty, and change Figure 1. Area of timberland and forest land by

    E-Print Network [OSTI]

    errors/bars provided in figures and tables represent 68 percent confidence intervals 0.0 1.0 2.0 3.0 4/American elm/red maple White oak/red oak/hickory Area (1,000 acres) Small Medium Large #12;Table 2. ­ Top 10

  18. Speed Search in Truth Tables (SSTT) A complete inductive approach to SAT

    E-Print Network [OSTI]

    Adriaans, Pieter

    Speed Search in Truth Tables (SSTT) A complete inductive approach to SAT Pieter Adriaans pietera knowledge this class of algorithms, which I call Speed Search in Truth Tables (SSTT), has not been stud- iedÃ?cient than state-of-the-art probabilistic local search algorithms, such as GSAT, WSAT or Sch

  19. SECTION 22 Table of Contents 22 Spokane Subbasin Assessment Aquatic..................................................2

    E-Print Network [OSTI]

    ............................................................................. 44 22.7 Focal Species ­ Largemouth Bass 35 species of fish, including 20 native species, are found in the Spokane Subbasin (Table 22.1). Table 22.1. Fish species currently present in the Spokane Subbasin Species Origin Location Status White

  20. Potential for water-table excursions induced by seismic events at Yucca Mountain, Nevada

    SciTech Connect (OSTI)

    Carrigan, C.R. [Lawrence Livermore National Lab., CA (United States)] [Lawrence Livermore National Lab., CA (United States); King, G.C.P. [Inst. de Physique du Globe, Strasbourg (France)] [Inst. de Physique du Globe, Strasbourg (France); Barr, G.E.; Bixler, N.E. [Sandia National Labs., Albuquerque, NM (United States)] [Sandia National Labs., Albuquerque, NM (United States)

    1991-12-01T23:59:59.000Z

    The possibility that 100-200 m changes in water-table elevation can be mechanically induced by earthquakes is a consideration in site studies of a potential high-level nuclear waste repository at Yucca Mountain, Nevada. However, numerical simulations of tectonohydrologic coupling involving earthquakes typical of the Basin and Range province produce 2-3 m excursions of a water table that is 500 m below the land surface. Even displacements corresponding to extraordinary seismic events drive water-table excursions of less than 20 m. Flow resulting from earthquake-induced pore-pressure fields below the water table tends to be mainly horizontal; vertical flows that cause changes of the level of the water table are secondary. Strongly anisotropic permeability, intended to enhance vertical flow within fault zones, only doubles water-table rise in the models considered. These simulations of water-table rise compare well with observations following large earthquakes in the Basin and Range. The authors` models suggest that exceptional hydrologic and/or tectonic conditions would be required to produce substantially larger water-table rises.

  1. Application for CALS-CCE 2013 Summer Internship Title of project: The Wild Harvest Table

    E-Print Network [OSTI]

    Keinan, Alon

    Application for CALS-CCE 2013 Summer Internship Title of project: The Wild Harvest Table Worksite 5-10 sentences): The Wild Harvest Table project was jointly developed by Human Ecology Nutrition-Lever grants (Principle Investigators: Paul Curtis and Keith Tidball) to further explore wild game and fish

  2. A Lookup Table to Compute High Energy Cosmic Ray Effects on Terrestrial Atmospheric Chemistry

    E-Print Network [OSTI]

    Atri, Dimitra

    2009-04-27T23:59:59.000Z

    chemistry changes. We have created a table that, with the use of the NGSFC code can be used to simulate the effects of high energy cosmic rays (10 GeV to 1 PeV) ionizing the atmosphere. By interpolation, the table can be used to generate values for other...

  3. Formation of Carbon Dwarfs

    E-Print Network [OSTI]

    Charles L. Steinhardt; Dimitar D. Sasselov

    2012-01-27T23:59:59.000Z

    We consider the formation of dwarf carbon stars via accretion from a carbon AGB companion in light of the new 107 object sample of Downes et al. (2004). This sample is now large enough to allow good mass determination via comparison of a composite spectrum to theoretical atmospheric models. Carbon dwarfs of spectral type M are indeed main sequence M dwarfs with enhanced metallicity and carbon abundance. We also calculate the predicted abundance of both M and of F/G carbon dwarfs, and show that the latter should be falsifiable in the near future.

  4. Cooling, Gravity and Geometry: Flow-driven Massive Core Formation

    E-Print Network [OSTI]

    Fabian Heitsch; Lee Hartmann; Adrianne D. Slyz; Julien E. G. Devriendt; Andreas Burkert

    2007-09-15T23:59:59.000Z

    We study numerically the formation of molecular clouds in large-scale colliding flows including self-gravity. The models emphasize the competition between the effects of gravity on global and local scales in an isolated cloud. Global gravity builds up large-scale filaments, while local gravity -- triggered by a combination of strong thermal and dynamical instabilities -- causes cores to form. The dynamical instabilities give rise to a local focusing of the colliding flows, facilitating the rapid formation of massive protostellar cores of a few 100 M$_\\odot$. The forming clouds do not reach an equilibrium state, though the motions within the clouds appear comparable to ``virial''. The self-similar core mass distributions derived from models with and without self-gravity indicate that the core mass distribution is set very early on during the cloud formation process, predominantly by a combination of thermal and dynamical instabilities rather than by self-gravity.

  5. Fission and quasi-fission: insights into heavy element formation reactions

    SciTech Connect (OSTI)

    Hinde, D. J.; Rietz, R. du; Rafiei, R.; Dasgupta, M.; Diaz-Torres, A. [Department of Nuclear Physics, Research School of Physics and Engineering, Australian National University, Canberra, ACT 0200 (Australia); Thomas, R. G. [Department of Nuclear Physics, Research School of Physics and Engineering, Australian National University, Canberra, ACT 0200 (Australia); B.A.R.C., Mumbai (India)

    2009-03-04T23:59:59.000Z

    Mass-angle distributions carry detailed information on the characteristics of quasi-fission, and thus of the dynamics of heavy element formation reactions. Recent experimental results are presented and discussed.

  6. Implementation of the probability table method in a continuous-energy Monte Carlo code system

    SciTech Connect (OSTI)

    Sutton, T.M.; Brown, F.B. [Lockheed Martin Corp., Schenectady, NY (United States)

    1998-10-01T23:59:59.000Z

    RACER is a particle-transport Monte Carlo code that utilizes a continuous-energy treatment for neutrons and neutron cross section data. Until recently, neutron cross sections in the unresolved resonance range (URR) have been treated in RACER using smooth, dilute-average representations. This paper describes how RACER has been modified to use probability tables to treat cross sections in the URR, and the computer codes that have been developed to compute the tables from the unresolved resonance parameters contained in ENDF/B data files. A companion paper presents results of Monte Carlo calculations that demonstrate the effect of the use of probability tables versus the use of dilute-average cross sections for the URR. The next section provides a brief review of the probability table method as implemented in the RACER system. The production of the probability tables for use by RACER takes place in two steps. The first step is the generation of probability tables from the nuclear parameters contained in the ENDF/B data files. This step, and the code written to perform it, are described in Section 3. The tables produced are at energy points determined by the ENDF/B parameters and/or accuracy considerations. The tables actually used in the RACER calculations are obtained in the second step from those produced in the first. These tables are generated at energy points specific to the RACER calculation. Section 4 describes this step and the code written to implement it, as well as modifications made to RACER to enable it to use the tables. Finally, some results and conclusions are presented in Section 5.

  7. Formation, characterization and reactivity of adsorbed oxygen...

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

    Formation, characterization and reactivity of adsorbed oxygen on BaOPt(111). Formation, characterization and reactivity of adsorbed oxygen on BaOPt(111). Abstract: The formation...

  8. Pretzelosity distribution function

    E-Print Network [OSTI]

    H. Avakian; A. V. Efremov; P. Schweitzer; F. Yuan

    2008-08-28T23:59:59.000Z

    The 'pretzelosity' distribution is discussed. Theoretical properties, model results, and perspectives to access experimental information on this leading twist, transverse momentum dependent parton distribution function are reviewed. Its relation to helicity and transversity distributions is highlighted.

  9. Learning poisson binomial distributions

    E-Print Network [OSTI]

    Daskalakis, Constantinos

    We consider a basic problem in unsupervised learning: learning an unknown Poisson Binomial Distribution. A Poisson Binomial Distribution (PBD) over {0,1,...,n} is the distribution of a sum of n independent Bernoulli random ...

  10. Alteration of the groundwater table due to construction of a floodplain bypass at Upper Pine Creek, Concord, California

    E-Print Network [OSTI]

    Williams, John L III

    2003-01-01T23:59:59.000Z

    66 Exploratory Boring 67 Natural Creek 72 Floodplain BypassChannel 78 Floodplain Bypass Channel 65 Natural Creek 69Natural Creek Table 2 Post-Project Groundwater Table Raw

  11. A Study to Verify the Material Surface Concept of Water Table by Examining Analytical and Numerical Models.

    E-Print Network [OSTI]

    Dadi, Sireesh Kumar

    2011-10-21T23:59:59.000Z

    The highly nonlinear nature of unsaturated flow results in different ways to approximate the delayed or instantaneous movement of the water table. In nearly all the approaches, the water table is conceptually treated as a “material surface...

  12. Exploration of versatile clamping mechanism and brace system for table attachment to lamp posts and poles in urban settings

    E-Print Network [OSTI]

    Macomber, Bryan A

    2012-01-01T23:59:59.000Z

    The goal of this thesis is to explore potential designs for a table that attaches to poles and street signs outside food trucks. A convenient placement of tables could greatly facilitate and improve the eating experience ...

  13. Cosmological Simulations of Galaxy Formation Including Hydrodynamics (hyper-abridged)

    E-Print Network [OSTI]

    F J Summers

    1994-06-02T23:59:59.000Z

    The formation of galaxies in hierarchical cosmogonies is studied using high resolution N-body plus SPH hydrodynamics simulations. The collapse of structure is followed self-consistently from Mpc scale filamentary structures to kpc scale galactic objects. The characteristics and formation processes of the galaxy like objects are studied in detail, along with the aggregation into a poor cluster. Related studies consider the effects of modelling star formation, the reliability of tracing galaxies in simulations, and tests of SPH methods. This submission serves first to notify that the full text and figures of my thesis are available in compressed PostScript form via anonymous ftp from astro.princeton.edu in the directory /summers/thesis (122 files, 19 MB compressed, 65 MB uncompressed). See the README file first. Second, this submission contains the title page, abstract, table of contents, introductory chapter, summary chapter, and references for my thesis. Those who are curious about the work may scan these pages to identify which chapters may be interesting to get via ftp.

  14. Climate-Soil-Vegetation Control on Groundwater Table Dynamics and its Feedbacks in a Climate Model

    SciTech Connect (OSTI)

    Leung, Lai-Yung R.; Huang, Maoyi; Qian, Yun; Liang, Xu

    2010-01-29T23:59:59.000Z

    Among the three dynamically linked branches of the water cycle, including atmospheric, surface, and subsurface water, groundwater is the largest reservoir and an active component of the hydrologic system. Because of the inherent slow response time, groundwater may be particularly relevant for long time-scale processes such as multi-years or decadal droughts. This study uses regional climate simulations with and without surface water – groundwater interactions for the conterminous U.S. to assess the influence of climate, soil, and vegetation on groundwater table dynamics, and its potential feedbacks to regional climate. Analysis shows that precipitation has a dominant influence on the spatial and temporal variations of groundwater table depth (GWT). The simulated GWT is found to decrease sharply with increasing precipitation. Our simulation also shows some distinct spatial variations that are related to soil porosity and hydraulic conductivity. Vegetation properties such as minimum stomatal resistance, and root depth and fraction are also found to play an important role in controlling the groundwater table. Comparing two simulations with and without groundwater table dynamics, we find that groundwater table dynamics mainly influences the partitioning of soil water between the surface (0 – 0.5 m) and subsurface (0.5 – 5 m) rather than total soil moisture. In most areas, groundwater table dynamics increases surface soil moisture at the expense of the subsurface, except in regions with very shallow groundwater table. The change in soil water partitioning between the surface and subsurface is found to strongly correlate with the partitioning of surface sensible and latent heat fluxes. The evaporative fraction (EF) is generally higher during summer when groundwater table dynamics is included. This is accompanied by increased cloudiness, reduced diurnal temperature range, cooler surface temperature, and increased cloud top height. Although both convective and non-convective precipitation are enhanced, the higher EF changes the partitioning to favor more non-convective precipitation, but this result could be sensitive to the convective parameterization used. Compared to simulations without groundwater table dynamics, the dry bias in the summer precipitation is slightly reduced over the central and eastern U.S. Groundwater table dynamics can provide important feedbacks to atmospheric processes, and these feedbacks are stronger in regions with deeper groundwater table, because the interactions between surface and subsurface are weak when the groundwater table is deep. This increases the sensitivity of surface soil moisture to precipitation anomalies, and therefore enhances land surface feedbacks to the atmosphere through changes in soil moisture and evaporative fraction. By altering the groundwater table depth, land use change and groundwater withdrawal can alter land surface response and feedback to the climate system.

  15. The Politics of Mexican Documentary Distribution: Three Case Studies, 1988-2006

    E-Print Network [OSTI]

    Pé rez Tejada, Manuel Antonio

    2009-01-14T23:59:59.000Z

    to thank my mother, Ana, my sisters Ana, and Lorena, my brothers Luis, Juan, and Arturo, my brother-in-law Sergio, my nieces, Lorena, Mariana, and Ana Lilián, and my nephews Juan Paulo, and Jorge. Their love and friendship were always my emotional strength... become a doctor. vTable of Contents Acceptance Page ii Abstract iii Acknowledgments iv Table of Contents v Chapter 1. Introduction. 1 Chapter 2 - Juan Carlos Rulfo’s documentary films and theatrical distribution: neoliberal policies, Hollywood, and smoke...

  16. About Industrial Distributed Energy

    Broader source: Energy.gov [DOE]

    The Advanced Manufacturing Office's (AMO's) Industrial Distributed Energy activities build on the success of predecessor DOE programs on distributed energy and combined heat and power (CHP) while...

  17. CONSTRAINTS ON THE FORMATION OF THE PLANET IN HD 188753 Hannah Jang-Condell

    E-Print Network [OSTI]

    for planet formation. In this paper we attempt to model a protoplanetary disk around HD 188753A using around an iso- lated star, these models provide good fits to observed spectral energy distributions (SEDs that planet formation cannot occur in the more quiescent -disk model puts a strong constraint on planet

  18. The Formation History of Globular Clusters

    E-Print Network [OSTI]

    Dean E. McLaughlin

    2000-02-03T23:59:59.000Z

    The properties of old globular cluster systems in galaxy halos are used to infer quantitative constraints on aspects of generic star (cluster) formation. First, the spatial distribution of globulars in three large galaxies, together with trends in total cluster population vs. galaxy luminosity for 97 early-type systems plus the halo of the Milky Way, imply that bound stellar clusters formed with a universal efficiency throughout early protogalaxies: by mass, always 0.26% of star-forming gas was converted into globulars rather than halo field stars. That this fraction is so robust in the face of extreme variations in local and global galaxy environment suggests that any parcel of gas needs primarily to exceed a relative density threshold in order to form a bound cluster of stars. Second, it is shown that a strict, empirical scaling of total binding energy with luminosity and Galactocentric position is a defining equation for a fundamental plane of Galactic globular clusters. The characteristics of this plane, which subsumes all other observable correlations between the structural parameters of globulars, provide a small but complete set of facts that must be explained by theories of cluster formation and evolution in the Milky Way. It is suggested that the E_b(L,r_{\\rm gc}) relation specifically resulted from star formation efficiencies having been systematically higher inside more massive protoglobular gas clumps.

  19. SU(2) Flux Distributions on Finite Lattices

    E-Print Network [OSTI]

    Peng, Y; Peng, Yingcai; Haymaker, Richard W.

    1993-01-01T23:59:59.000Z

    We studied SU(2) flux distributions on four dimensional euclidean lattices with one dimension very large. By choosing the time direction appropriately we can study physics in two cases: one is finite volume in the zero temperature limit, another is finite temperature in the the intermediate to large volume limit. We found that for cases of beta > beta crit there is no intrinsic string formation. Our lattices with beta > beta crit belong to intermediate volume region, and the string tension in this region is due to finite volume effects. In large volumes we found evidence for intrinsic string formation.

  20. Statistical analysis of the electrical breakdown time delay distributions in krypton

    SciTech Connect (OSTI)

    Maluckov, Cedomir A.; Karamarkovic, Jugoslav P.; Radovic, Miodrag K.; Pejovic, Momcilo M. [Technical Faculty in Bor, University of Belgrade, Vojske Jugoslavije 24, 19210 Bor (Serbia and Montenegro); Faculty of Civil Engineering and Architecture, University of Nis, Beogradska 14, 18000 Nis (Serbia and Montenegro); Faculty of Sciences and Mathematics, University of Nis, P.O. Box 224, 18001 Nis (Serbia and Montenegro); Faculty of Electronic Engineering, University of Nis, P.O. Box 73, 18001 Nis (Serbia and Montenegro)

    2006-08-15T23:59:59.000Z

    The statistical analysis of the experimentally observed electrical breakdown time delay distributions in the krypton-filled diode tube at 2.6 mbar is presented. The experimental distributions are obtained on the basis of 1000 successive and independent measurements. The theoretical electrical breakdown time delay distribution is evaluated as the convolution of the statistical time delay with exponential, and discharge formative time with Gaussian distribution. The distribution parameters are estimated by the stochastic modelling of the time delay distributions, and by comparing them with the experimental distributions for different relaxation times, voltages, and intensities of UV radiation. The transition of distribution shapes, from Gaussian-type to the exponential-like, is investigated by calculating the corresponding skewness and excess kurtosis parameters. It is shown that the mathematical model based on the convolution of two random variable distributions describes experimentally obtained time delay distributions and the separation of the total breakdown time delay to the statistical and formative time delay.